Driver assistance application program, driver assistance system, and driver assistance method

Abstract

To optimize the overall energy efficiency of the system by maintaining a balance between the supply and demand of either the hot water or cold water side. [Solution] The operation support application program 100 causes the computer 10 to generate prediction information 50 of virtual thermal demand 50A and virtual cooling demand 50B for each unit load time period on the day of operation using a heat demand change pattern model or a trained inference model stored in the computer 10; to plan a switching schedule 51 for the thermal output priority adjustment mode and cooling output priority adjustment mode of the first heat source device 21 on the day of operation based on the prediction information 50; and to transmit a thermal output priority adjustment mode execution signal 52A or a cooling output priority adjustment mode execution signal 52B to the first heat source device 21 according to the switching schedule 51.

Description

Technical Field

[0001] The technology disclosed in this specification relates to a driving support application program, a driving support system, and a driving support method.

Background Art

[0002] In the technical field related to industrial equipment, a system that supplies heat and cold simultaneously is used. For example, Patent Document 1 discloses a cold and hot water production system including a heat source device that heats a first water supply while cooling a second water supply by a heat pump chiller. In Patent Document 1, the heat source device heats the first water supply by an intermediate heat exchanger on the hot water side connected to the condenser of the heat pump chiller, and cools the second water supply by an intermediate heat exchanger on the cold water side connected to the evaporator of the heat pump chiller. In Patent Document 1, a hot water tank for the first water supply for heat storage and a cold water tank for the second water supply are installed, and the first water supply is circulated between the hot water side of the heat pump chiller and the hot water tank, and the second water supply is circulated between the cold water side of the heat pump chiller and the cold water tank.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] A heat pump chiller as disclosed in Patent Document 1 cannot adjust the heat output and the cold output independently in terms of structure. Therefore, the heat output priority operation and the cold output priority operation are switched so that the heat supply follows the side with a smaller heat load among the heat demand and the cold demand. The heat output priority operation is an operation mode that follows the heat demand, and the cold output priority operation is an operation mode that follows the cold demand.

[0005] In typical heat pump chiller control systems, a decrease in the thermal load is detected when the return temperature of the hot water rises, and the system switches to thermal output priority operation. Conversely, a decrease in the cooling load is detected when the return temperature of the chilled water falls, and the system switches to cooling output priority operation. However, due to the influence of the thermal storage tank capacity and piping length, a time lag occurs between changes in thermal load and changes in return temperature, making it easy for the supply and demand balance to be disrupted. As a result, there was a problem in that the overall energy efficiency of the system was being operated while deviating from the optimal value.

[0006] The technologies disclosed herein aim to optimize the overall energy efficiency of the system by maintaining a supply-demand balance on either the hot water or cold water side. [Means for solving the problem]

[0007] This specification provides an operation support application program. The operation support application program is an operation support application program that operates on a computer capable of sending and receiving information via a communication network with a simultaneous hot and cold supply system including a first heat source device that heats first water while cooling second water using a heat pump chiller. The computer is instructed to perform the following actions: generate prediction information of virtual hot energy demand and virtual cold energy demand for each unit load time period on the day of operation using a heat demand change pattern model or a trained inference model stored in the computer; plan a switching schedule for the first heat source device's hot energy output priority adjustment mode and cold energy output priority adjustment mode on the day of operation based on the prediction information; and transmit a hot energy output priority adjustment mode execution signal or a cold energy output priority adjustment mode execution signal to the first heat source device according to the switching schedule. [Effects of the Invention]

[0008] According to the technology disclosed herein, the energy efficiency of the entire system can be optimized by maintaining a supply-demand balance on either the hot water side or the cold water side. [Brief explanation of the drawing]

[0009] [Figure 1] Figure 1 is a schematic diagram illustrating a driver assistance system according to an embodiment. [Figure 2] Figure 2 is a schematic diagram showing the simultaneous hot and cold supply equipment and load equipment according to the embodiment. [Figure 3] Figure 3 is a hardware configuration diagram showing an information processing device according to an embodiment. [Figure 4] Figure 4 is a diagram illustrating the hierarchical structure of the information processing device according to the embodiment. [Figure 5] Figure 5 is a functional block diagram showing an information processing device according to an embodiment. [Figure 6] Figure 6 illustrates the process flow for generating and transmitting the switching schedule for the first heat source device. [Figure 7] Figure 7 illustrates the process for generating forecast information for virtual heating demand and virtual cooling demand. [Figure 8] Figure 8 is a graph showing an example of forecast information and a switching schedule. [Figure 9] Figure 9 illustrates the process flow for generating and transmitting the first and second planned values. [Figure 10] Figure 10 shows the process flow for preparing and applying an updated model to the heat demand prediction model. [Figure 11] Figure 11 shows the process flow for evaluating the benefits of capital investment based on energy cost estimates. [Figure 12] Figure 12 shows the process flow for proposing the addition of heat pump chillers based on the estimation of heat supply capacity. [Figure 13] Figure 13 is a graph illustrating the period of overcapacity. [Figure 14] Figure 14 is a schematic diagram showing a first configuration example of a simultaneous hot and cold supply system according to an embodiment. [Figure 15] Figure 15 is a schematic diagram showing a second configuration example of a simultaneous hot and cold supply system according to the embodiment. [Figure 16]FIG. 16 is a flowchart showing an operation support method according to an embodiment.

Mode for Carrying Out the Invention

[0010] [1] Driving Support System FIG. 1 is a diagram schematically showing a driving support system 1 according to an embodiment. The driving support system 1 is a driving support system for a cold and heat simultaneous supply facility 2. The driving support system 1 acquires and accumulates the environmental information of the cold and heat simultaneous supply facility 2 and the operation information of the cold and heat simultaneous supply facility 2. The driving support system 1 supports the operation of the cold and heat simultaneous supply facility 2 by using the environmental information of the cold and heat simultaneous supply facility 2 and the operation information of the cold and heat simultaneous supply facility 2.

[0011] The facility refers to equipment installed in a building such as a factory. The equipment is a general term for machines, apparatuses, and instruments. The cold and heat simultaneous supply facility 2 refers to a mechanical apparatus that simultaneously supplies both heat and cold to a load facility LE. The cold and heat simultaneous supply facility 2 includes a heat source device that heats or cools water for use. The cold and heat simultaneous supply facility 2 supplies heat to the load facility LE with the heated water for use and supplies cold to the load facility LE with the cooled water for use.

[0012] The load facility LE uses the water for use output from the cold and heat simultaneous supply facility 2. The load facility LE uses the water for use, for example, as a heat source for various production processes, treatment processes, hot water supply, or air conditioning. The load facility LE uses the water for use as process water for food, cosmetics, pharmaceuticals, or semiconductor manufacturing.

[0013] In addition, the load facility LE may include medical mechanical appliances used in a series of processes from the acceptance to the discharge of the objects to be washed and sterilized, washing mechanical appliances used in a series of processes from the collection to the shipment of the objects to be washed, and food and beverage manufacturing mechanical appliances used in a series of processes from the acceptance of raw materials to the storage of products.

[0014] As medical mechanical appliances, a washer and a sterilizer are exemplified. As washers, a decompression boiling washer and an ultrasonic washer are exemplified. As sterilizers, a steam sterilizer and a gas sterilizer are exemplified. The medical mechanical appliances are installed in the central supply room of a medical institution.

[0015] As laundry mechanical appliances, a washing machine, a dryer, and a finishing machine are exemplified. As washing machines, a continuous washing machine, a water washing machine, and a dry cleaning machine are exemplified. As dryers, a gas dryer and a steam dryer are exemplified. As finishing machines, a gas roll ironer and a steam roll ironer are exemplified. The laundry mechanical appliances are installed in a laundry factory.

[0016] As food and beverage manufacturing mechanical appliances, a defroster, a cooking heater, a cooler, and a sterilizer are exemplified. As defrosters, a vacuum steam defroster, a microwave defroster, a high-frequency defroster, and a running water defroster are exemplified. As cooking heaters, a steam kneader, a steam kettle, and a saturated steam cooker are exemplified. As coolers, a vacuum cooler, a cold water cooler, and a cold air cooler are exemplified. As sterilizers, a retort sterilizer and a pasteurizer are exemplified. The food and beverage manufacturing mechanical appliances are installed in a food factory or a beverage factory.

[0017] The load equipment LE is installed in business establishment 3. Business establishment 3 refers to each place where production of goods or provision of services is carried out as a business. In business establishment 3 where production of goods etc. is carried out, a factory 4 is provided. The load equipment LE is installed in factory 4. As factory 4, a food factory, a beverage factory, a metal product factory, a plastic product factory, a textile factory, and a laundry factory are exemplified.

[0018] Note that factory 4 may not be provided in business establishment 3 that provides services. The business carried out in business establishment 3 may include public health services. As public health services, a hospital, a clinic, and a health center are exemplified. Business establishment 3 may include a feeding center.

[0019] In the example shown in Figure 1, a certain business operator has three business establishments 3. Business establishments 3 include the first business establishment 3A, the second business establishment 3B, and the third business establishment 3C. A factory 4 is located in the second business establishment 3B. The factory 4 located in the second business establishment 3B includes the first factory 4A and the second factory 4B. Alternatively, a factory 4 may be located in either the first business establishment 3A or the third business establishment 3C, or both.

[0020] The simultaneous hot and cold supply equipment 2 is installed in both the first factory 4A and the second factory 4B. Data collection terminals 7 are installed in both the first factory 4A and the second factory 4B. Data collection terminals 7 is a general term for devices used for data collection at the business site 3.

[0021] The driving support system 1 comprises a sensor group consisting of one or more environmental sensors 5 placed in the simultaneous hot and cold supply equipment 2, a controller 61 that controls the operation of the first heat source device 21 (described later), a communication network 8 for transmitting information, and an information processing device 6 configured to acquire environmental information detected by the sensor group and operational information generated by the controller 61 via the communication network 8.

[0022] The Environmental Sensor 5 detects environmental information of the simultaneous heating and cooling equipment 2. Environmental information of the simultaneous heating and cooling equipment 2 refers to the environmental state or conditions of the space in which the equipment 2 operates. The environmental information of the simultaneous heating and cooling equipment 2 includes environmental information of the business establishment 3 (factory 4) where the equipment 2 is installed. The environmental information includes physical parameters of the main body and surroundings of the simultaneous heating and cooling equipment 2. Some of the detection data from the Environmental Sensor 5 is used for the operation or control of the simultaneous heating and cooling equipment 2. Examples of Environmental Sensor 5 include temperature sensors, humidity sensors, pressure sensors, water level sensors, flow rate sensors, electrical conductivity sensors (EC sensors), power sensors, distance sensors, image sensors, and force sensors.

[0023] The environmental sensor 5 is connected to the controller 61 of the simultaneous hot and cold supply equipment 2 and the controller 61 of the data collection terminal 7.

[0024] Figure 2 is a schematic diagram showing the simultaneous hot and cold water supply equipment 2 and load equipment LE according to the embodiment. In the example of Figure 2, the simultaneous hot and cold water supply equipment 2 and load equipment LE are installed inside the building (factory building) of the factory 4. The load equipment LE includes various production machinery and equipment and utilizes the water supplied from the simultaneous hot and cold water supply equipment 2 during production operation. In the example of Figure 2, the load equipment LE includes a first load equipment LE1 that utilizes first water W1, which is hot water, and a second load equipment LE2 that utilizes second water W2, which is cold water. A single load equipment LE may utilize both first water W1 and second water W2. Hereinafter, load equipment LE will be a collective term for the first load equipment LE1 and the second load equipment LE2.

[0025] The simultaneous hot and cold water supply equipment 2 heats and cools the water supply in accordance with the heat demand of the load equipment LE. Specifically, the simultaneous hot and cold water supply equipment 2 heats the first water supply W1 in accordance with the heat demand of the first load equipment LE1, and cools the second water supply W2 in accordance with the cold demand of the second load equipment LE2.

[0026] In this embodiment, the simultaneous hot and cold supply equipment 2 includes a first heat source device 21 that heats the first water supply W1 while cooling the second water supply W2 using a heat pump chiller. In the example shown in Figure 2, the simultaneous hot and cold supply equipment 2 further includes a second heat source device 22 that heats the first water supply W1 using a boiler, and a third heat source device 23 that cools the second water supply W2 using a chiller. The simultaneous hot and cold supply equipment 2 includes the first heat source device 21 as a base load machine, and the second heat source device 22 and the third heat source device 23 as peak load machines. The base load machine operates continuously at least during load periods to supply heat. The peak load machine operates when a heat demand exceeds the heat supply capacity of the base load machine, and supplies heat to meet the excess heat demand that exceeds the heat supply capacity of the base load machine. The load period is the period during which a heat load (heat demand) occurs, and periods when, for example, the factory 4 is shut down are excluded from the load period.

[0027] The first heat source device 21 has at least one heat pump chiller, and may have multiple heat pump chillers. In the example in Figure 2, the heat pump chiller in the first heat source device 21 is composed of a vapor compression type heat pump including a refrigerant evaporator 211, a refrigerant condenser 212, a refrigerant compressor 213, and an expansion valve 214. The refrigerant evaporator 211, refrigerant condenser 212, refrigerant compressor 213, and expansion valve 214 are connected by a refrigerant circulation line 215 that circulates the refrigerant. The refrigerant is compressed in the refrigerant compressor 213 to a high temperature and high pressure state, condenses in the refrigerant condenser 212 by releasing heat, is then depressurized in the expansion valve 214, evaporates in the refrigerant evaporator 211 by absorbing heat, and returns to the refrigerant condenser 212.

[0028] The refrigerant condenser 212 heats the first water W1 by heat exchange between the high-temperature, high-pressure refrigerant and the first water W1. If an intermediate heat transfer medium is used, the first water W1 may be indirectly heated by further heat exchange between the intermediate heat transfer medium heated in the refrigerant condenser 212 and the first water W1. The refrigerant evaporator 211 cools the second water W2 by heat exchange between the low-temperature, low-pressure refrigerant and the second water W2. If an intermediate heat transfer medium is used, the second water W2 may be indirectly cooled by further heat exchange between the intermediate heat transfer medium cooled in the refrigerant evaporator 211 and the second water W2.

[0029] The second heat source device 22 has a boiler for heating the water. The second heat source device 22 includes at least one boiler (or group of boilers). The number of boilers to be installed is not limited and is set according to the heat demand. Examples of boilers include combustion steam boilers, electric heater steam boilers, heat recovery steam boilers, combustion hot water boilers, electric heater hot water boilers, and heat recovery hot water boilers. In the example in Figure 2, the second heat source device 22 includes, for example, a combustion or electric steam boiler. A combustion steam boiler generates high-temperature steam using the heat produced by the combustion of fuel and heats the water (first water W1) through heat exchange between the steam and the water. An electric steam boiler generates high-temperature, high-pressure steam from boiler water using the heat produced by energizing an electric heater and heats the water (first water W1) through heat exchange between the steam and the water.

[0030] The third heat source device 23 has a chiller for cooling the water. The third heat source device 23 includes at least one chiller (or group of chillers). The chiller is, for example, an electric chiller. The chiller cools the water (second water W2) by lowering the temperature of the refrigerant through a refrigeration cycle and exchanging heat between the refrigerant and the water. The chiller may be an absorption type or an adsorption type chiller.

[0031] The simultaneous hot and cold water supply system 2 includes a water tank for storing water. In the example shown in Figure 2, the simultaneous hot and cold water supply system 2 includes a hot water tank 24A for storing the first water W1 and a chilled water tank 24B for storing the second water W2. The hot water tank 24A, the first heat source device 21, the second heat source device 22, and the first load equipment LE1 are connected by a hot water line 25A through which the first water W1 flows. The chilled water tank 24B, the first heat source device 21, the third heat source device 23, and the second load equipment LE2 are connected by a chilled water line 25B through which the second water W2 flows. In this specification, "line" refers to any line through which fluids can flow, such as a flow path, route, or pipeline.

[0032] The simultaneous hot and cold water supply equipment 2 includes a water line for circulating water. In the example in Figure 2, the simultaneous hot and cold water supply equipment 2 includes a hot water line 25A and a cold water line 25B. The first water W1, heated by the first heat source device 21 or the second heat source device 22, is supplied to the hot water tank 24A via the hot water line 25A. The heated first water W1 is stored in the hot water tank 24A. The first water W1 stored in the hot water tank 24A is supplied to the first load equipment LE1 via the hot water line 25A. The second water W2, cooled by the first heat source device 21 or the third heat source device 23, is supplied to the cold water tank 24B via the cold water line 25B. The cooled second water W2 is stored in the cold water tank 24B. The second water supply W2 stored in the chilled water tank 24B is supplied to the second load equipment LE2 via the chilled water line 25B. A pump for circulating the water may be provided in the water supply line.

[0033] The load equipment LE either utilizes the supplied water as is, or utilizes the heat extracted from the water.

[0034] The simultaneous hot and cold supply equipment 2 includes a sensor group consisting of one or more environmental sensors 5, and controllers 61 that control the operation of the first heat source device 21, the second heat source device 22, and the third heat source device 23, respectively.

[0035] The environmental sensor 5 is installed in the simultaneous hot and cold water supply equipment 2. The environmental sensor 5 can be installed in one or more of the following: heat source devices (first heat source device 21, second heat source device 22, third heat source device 23), water tanks (hot water tank 24A, cold water tank 24B), or water lines (hot water line 25A, cold water line 25B). The environmental sensor 5 installed in the simultaneous hot and cold water supply equipment 2 includes a temperature sensor. The environmental sensor 5 may also be installed in the load equipment LE (first load equipment LE1, second load equipment LE2).

[0036] The controller 61 of the simultaneous heating and cooling system 2 has the function of controlling the operation of the system and controlling data collection. The controller 61 is mainly used for autonomous operation control of the heat source devices (first heat source device 21, second heat source device 22, third heat source device 23). The controller 61 of the simultaneous heating and cooling system 2 is installed for each heat source device 21, 22, and 23 and is connected to the environmental sensor 5 installed in the water line or water tank. The controller 61 of the simultaneous heating and cooling system 2 may also be configured as part of a data collection terminal 7 that is specialized for collecting information from the environmental sensor 5.

[0037] As shown in Figure 1, the controller 61 is incorporated into the simultaneous heating and cooling equipment 2, the load equipment LE, and the data acquisition terminal 7. Examples of the controller 61 include a microcomputer 61A and a programmable logic controller 61B (PLC). The microcomputer 61A is an example of the controller 61 incorporated into the data acquisition terminal 7.

[0038] The controller 61 of the simultaneous hot and cold supply equipment 2 uses environmental information collected from the environmental sensor 5 to control the operation of the simultaneous hot and cold supply equipment 2 and records it for operational management.

[0039] The controller 61 of the data collection terminal 7 is connected to each of the multiple environmental sensors 5 scattered throughout the business premises 3. The controller 61 of the data collection terminal 7 is connected to multiple environmental sensors 5 of different types.

[0040] The controller 61 generates operating information for the heat source devices (first heat source device 21, second heat source device 22, third heat source device 23). The controller 61 may also generate operating information for the heat source devices based on the detection data of the environmental sensor 5.

[0041] [2] Hardware configuration of the information processing device As shown in Figure 1, the driver assistance system 1 has a plurality of information processing devices 6. The information processing devices 6 include a controller 61, an edge computer 62, a gateway 63, a guest computer 64, and a host computer 65.

[0042] Figure 3 is a hardware configuration diagram showing an information processing device 6 according to an embodiment. The information processing device 6 includes a computer 10. The controller 61, edge computer 62, gateway 63, guest computer 64, and host computer 65 each include the computer 10. The computer 10 has a processor 11, a storage device 12, a communication interface 13, and an input / output interface 14. The information processing device 6 also has a power supply (not shown).

[0043] The processor 11 includes a CPU (Central Processing Unit). The processor 11 may also include a GPU (Graphics Processing Unit). The storage device 12 includes a recording medium on which computer programs and data are recorded in a readable format by the processor 11. The storage device 12 includes onboard system memory such as RAM (Random Access Memory) or ROM (Read Only Memory), high-capacity flash memory such as an SD card or USB memory, and high-capacity storage such as an HDD (Hard Disk Drive) or SSD (Solid State Drive).

[0044] The communication interface 13 communicates via the communication network 8. Computer 10 sends data to an external computer via the communication network 8. Computer 10 receives data from an external computer via the communication network 8. Computer 10 connects to an external device via the input / output interface 14.

[0045] The communication network 8 is a general term for communication paths and devices that enable communication so that multiple computers 10 can send and receive information. Examples of communication networks 8 include local area networks (LANs), wide area networks (WANs), and commercial networks such as the Internet. A local area network may be a wired LAN or a wireless LAN. A wide area network may include mobile lines or satellite communication lines.

[0046] The storage device 12 stores various software programs. The storage device 12 stores a driver assistance application program 100 according to an embodiment. The processor 11 reads the software program from the storage device 12, loads it into system memory, and executes processing according to the software program. That is, the processor 11 can be considered to have multiple functional units. The functions of the processor 11 are realized by the software program. The software program may be distributed to the computer 10 via the communication network 8.

[0047] A software program that implements a specific function on a computer is called an application or engine (hereinafter referred to as "application, etc."), and the functional unit of an application, etc. is called a module. An engine may be installed on a computer as a single software package containing all its functions, but it is preferable that it be installed on a computer as individual software modules, each for each functional unit of an application, etc. Modularizing the functional units of an engine makes it easier to update when functional modifications are made. An application that runs on an edge computer 62 is sometimes called an edge application.

[0048] The environmental sensor 5 is connected to the input / output interface 14 of the controller 61. Multiple environmental sensors 5 are connected to one controller 61. The controller 61 collects environmental information from the environmental sensors 5 in real time. The communication interface 13 of the controller 61 transmits real-time environmental information and real-time operational information to the edge computer 62 via the communication network 8 (LAN).

[0049] The heat source device controller 61 can function not only as a local controller for the heat source devices (first heat source device 21, second heat source device 22, third heat source device 23), but also as a system controller for controlling peripheral equipment (such as water pumps and water supply valves).

[0050] The edge computer 62 is installed in factory 4. One or more edge computers 62 are installed in each factory 4. The communication interface 13 of the edge computer 62 communicates with each of the multiple controllers 61 belonging to factory 4 where the edge computer 62 is located, via the communication network 8 (LAN). The edge computer 62 receives environmental information and operational information from the controllers 61 via the communication network 8.

[0051] The edge computer 62 has approximately 5GB of onboard memory as storage device 12 so as to be able to store a sufficient amount of information. The edge computer 62 may also have an AI engine (Neural Network Processing Unit: NPU) so as to be able to perform the training and inference phases in machine learning.

[0052] Gateway 63 constitutes a connection node between the local area network and the internet, and has performance and specifications equivalent to that of the edge computer 62. Gateway 63 is installed at business establishment 3. One or more gateways 63 are installed at each business establishment 3. The communication interface 13 of gateway 63 communicates with each of the multiple edge computers 62 belonging to business establishment 3 where gateway 63 is located, via the communication network 8 (LAN). Gateway 63 receives environmental information and operational information from the edge computers 62 via the communication network 8. If the factory 4 located at business establishment 3 is a single building, the edge computer 62 and gateway 63 may be integrated and configured as a single computer.

[0053] The guest computer 64 is located outside of the business premises 3. For example, the guest computer 64 is installed at a regional base of a service provider that undertakes tasks such as monitoring the status and performing maintenance on the simultaneous heating and cooling equipment 2 installed at business premises 3. One guest computer 64 is installed at each management base. The guest computer 64 includes a local server. The communication interface 13 of the guest computer 64 communicates with the gateway 63 belonging to business premises 3 via the communication network 8 (Internet). The guest computer 64 receives environmental information and operational information from the gateway 63 via the communication network 8. If a guest computer 64 is not installed, the gateway 63 and the host computer 65 (described later) will be connected via the communication network 8.

[0054] The host computer 65 is located outside of the business premises 3. For example, the host computer 65 is installed at the central hub of a service provider. The host computer 65 includes a cloud server. The communication interface 13 of the host computer 65 communicates with each of the multiple guest computers 64 via the communication network 8 (Internet). The host computer 65 receives environmental information and operational information from the guest computers 64 via the communication network 8.

[0055] [3] Hierarchical structure of information processing equipment Figure 4 is a diagram illustrating the hierarchical structure of the information processing device 6 according to the embodiment. The multiple information processing devices 6 have a hierarchical structure that transmits environmental information detected by the environmental sensor 5 and operational information generated by the controller 61 from the downstream side to the upstream side. Of the multiple information processing devices 6, the controller 61 to which the environmental sensor 5 is connected is the most downstream (lower layer, lower level) information processing device 6, followed by the edge computer 62 as the next downstream information processing device 6, followed by the gateway 63 as the next downstream information processing device 6, followed by the guest computer 64 as the next downstream information processing device 6, and the host computer 65 as the most upstream (upper layer, higher level) information processing device 6.

[0056] The information processing devices 6 are connected to each other via a communication network 8. Inside the building, a local area network is used as the communication network 8, while outside the building, a commercial wide area network such as an internet connection or a mobile network is used as the communication network 8.

[0057] Environmental information is detected by the environmental sensor 5. The controller 61, which is a lower-level information processing device in the hierarchical structure, acquires the environmental information from the environmental sensor 5. The environmental information detected by the environmental sensor 5 and collected by the controller 61 is transmitted from the controller 61 to the edge computer 62 via the communication network 8. Operational information generated by the controller 61 is also transmitted from the controller 61 to the edge computer 62 via the communication network 8. The environmental information and operational information transmitted to the edge computer 62 are then transmitted from the edge computer 62 to the gateway 63 via the communication network 8. The environmental information and operational information transmitted to the gateway 63 are then transmitted from the gateway 63 to the guest computer 64 via the communication network 8. The environmental information and operational information transmitted to the guest computer 64 are then transmitted from the guest computer 64 to the host computer 65 via the communication network 8.

[0058] The controller 61 is a lower-level information processing unit in the hierarchical structure. The edge computer 62, gateway 63, and guest computer 64 are intermediate information processing units in the hierarchical structure. The host computer 65 is a higher-level information processing unit in the hierarchical structure.

[0059] The lower-level information processing unit functions as an IoT device to which the environmental sensor 5 is connected. The lower-level information processing unit can transmit various environmental and operational information to the intermediate information processing unit. The intermediate information processing unit functions as a relay between the lower-level information processing unit and the upper-level information processing unit. The intermediate information processing unit can receive various environmental and operational information from the lower-level information processing unit and transmit various environmental and operational information to the upper-level information processing unit. The upper-level information processing unit can receive various environmental and operational information from the intermediate information processing unit. The upper-level information processing unit has an information storage platform. The information storage platform is, for example, an open IoT operating system based on cloud computing, and is capable of systematic storage of information aggregates, as described later.

[0060] [4] Software configuration of the information processing device Figure 5 is a functional block diagram showing an information processing device 6 according to an embodiment. The information processing device 6 includes an information processing module 31, a prediction information generation module 32, a schedule planning module 33, a schedule transmission module 34, an information storage platform 35, and a database 36. The database 36 may be a group of databases that handle a wide variety of information, or it may be a component of the information storage platform 35. In the example of Figure 5, the information processing device 6 further includes a planned value generation module 37, a planned value transmission module 38, an update model preparation module 39, an update model application module 40, a thermal cost estimation module 41, a cooling cost estimation module 42, a merit evaluation module 43, a heat supply amount estimation module 44, an expansion evaluation module 45, and a UI provision module 46. Furthermore, the information processing device 6 does not necessarily have to include the planned value generation module 37, the planned value transmission module 38, the updated model preparation module 39, the updated model application module 40, the heating cost estimation module 41, the cooling cost estimation module 42, the merit evaluation module 43, the heat supply amount estimation module 44, the expansion evaluation module 45, and the UI provision module 46.

[0061] A user terminal 47 is connected to an information processing device 6. Examples of user terminals 47 include personal computers, tablet devices, and smartphones. The user terminal 47 includes a display device such as a liquid crystal display or an organic EL display.

[0062] Multiple information processing devices 6 (61, 62, 63, 64, 65) have, in one or more layers, an information processing module 31, a predictive information generation module 32, a schedule planning module 33, a schedule transmission module 34, an information storage platform 35, a database 36, a planned value generation module 37, a planned value transmission module 38, an update model preparation module 39, an update model application module 40, a thermal cost estimation module 41, a cooling cost estimation module 42, a merit evaluation module 43, a heat supply amount estimation module 44, an expansion evaluation module 45, and a UI provision module 46. In other words, each of the following modules can be a functional unit in one or more layers of the multiple information processing devices 6 (61, 62, 63, 64, 65): information processing module 31, predictive information generation module 32, schedule planning module 33, schedule transmission module 34, information storage platform 35, database 36, planned value generation module 37, planned value transmission module 38, update model preparation module 39, update model application module 40, thermal cost estimation module 41, cooling cost estimation module 42, merit evaluation module 43, heat supply amount estimation module 44, expansion evaluation module 45, and UI provision module 46.

[0063] Some or all of these functional units are realized by causing the computer 10 to perform information processing according to the driving support application program 100 according to the embodiment. Specifically, the driving support application program 100 has program modules for operating the computer 10 as an information processing module 31, a predictive information generation module 32, a schedule planning module 33, a schedule transmission module 34, a planned value generation module 37, a planned value transmission module 38, an updated model preparation module 39, an updated model application module 40, a heating cost estimation module 41, a cooling cost estimation module 42, a merit evaluation module 43, a heat supply amount estimation module 44, an expansion evaluation module 45, and a UI provision module 46. The computer 10 executes the respective program modules corresponding to the information processing module 31, the predictive information generation module 32, the schedule planning module 33, the schedule transmission module 34, the planned value generation module 37, the planned value transmission module 38, the update model preparation module 39, the update model application module 40, the thermal cost estimation module 41, the cooling cost estimation module 42, the merit evaluation module 43, the heat supply amount estimation module 44, the expansion evaluation module 45, and the UI provision module 46, thereby realizing each information processing function.

[0064] In one example, it is preferable that the information processing module 31, the predictive information generation module 32, the schedule planning module 33, the schedule transmission module 34, the planned value generation module 37, and the planned value transmission module 38 be functional units of the edge computer 62. It is preferable that the planned value generation module 37 and the planned value transmission module 38 be functional units of the edge computer 62. It is preferable that the update model preparation module 39, the update model application module 40, the thermal cost estimation module 41, the cooling cost estimation module 42, the merit evaluation module 43, the heat supply amount estimation module 44, and the expansion evaluation module 45 be functional units of the edge computer 62, gateway 63, guest computer 64, or host computer 65. It is preferable that the UI provision module 46, the information storage platform 35, and the database 36 be functional units of the host computer 65. When the operation support system 1 is completed within the factory building (factory building) of factory 4 at the request of the operations manager of business establishment 3, all of the modules, platforms, and databases may be functional units of the edge computer 62.

[0065] <4-1> Information Processing Module The information processing module 31 performs predefined information processing on the acquired environmental information and operational information. The information processing performed by the information processing module 31 includes, for example, batch processing to adjust time-series environmental information and operational information to the required time granularity. The information processing performed by the information processing module 31 also includes, for example, grouping processing to integrate multiple different types of environmental information and operational information into an information set linked to the hierarchical level of industrial activity.

[0066] <4-1-1> Generation process of environmental information and operational information The information processing module 31 acquires and stores environmental information from the environmental sensor 5 at predetermined sampling intervals. The information processing module 31 has functions such as A / D conversion to convert analog signals from the environmental sensor 5 into digital signals, substitution of A / D values ​​with measurement sample values, selection of measurement sample values, moving average function of measurement sample values, and period or frequency measurement function of pulse signals, and uses these functions to calculate confirmed measurement values ​​in real time.

[0067] The information processing module 31 acquires and stores real-time operational information from the controller 61 at predetermined sampling intervals. For example, the controller 61 transmits an "operating" signal when the heat source device is operating and a "stopped" signal when it is stopped. The information processing module 31 uses the "operating" signal received via the input / output interface 14 to measure the uptime (actual operating time information) of the heat source device. The information processing module 31 also uses the "stopped" signal received via the input / output interface 14 to measure the downtime (non-operating time information) of the heat source device.

[0068] The time granularity of real-time environmental information and real-time operational information depends on the sampling interval or recording interval, and is generally quite fine (for example, the latest values ​​are updated at intervals of 10ms to 1s). The information processing module 31 transmits the environmental information, along with an identification number (measurement item ID, device ID, location ID, etc.) and the update time, to the higher-level information processing device 6.

[0069] <4-1-2> Batch Processing Environmental information and operational information are time-series data that are generated sequentially over time in the information processing module 31. Batch processing refers to the process of adjusting the time-series environmental information and operational information to the required time granularity. Time granularity is an indicator that represents the degree of fineness of time, and can be selected from, for example, seconds, minutes, hours, or days.

[0070] <4-1-3> Grouping process Grouping refers to the process of integrating multiple types of environmental and operational information (environmental information, batch environmental information, operational information, batch operational information) into an information set linked to the hierarchical level of industrial activity. As shown in Figure 4, the hierarchical level of industrial activity includes one or more levels from among the machine level, machine group level, cell level, line level, building level, and business establishment level.

[0071] <4-2> Information Storage Platform The information storage platform 35 stores various types of information, such as numerical data and images, and also provides a foundational environment for operating software (engines, applications) and hardware. The information storage platform 35 is composed of, for example, an operating system and a database, enabling centralized management of diverse big data and facilitating the smooth processing and utilization of information.

[0072] The information storage platform 35 stores environmental information and operational information that have undergone prescribed information processing by the information processing module 31, as well as various registration information registered via the input device.

[0073] Environmental information includes various types of information used to calculate heat demand. Environmental information includes, for example, the temperature and flow rate of the water supplied to the load equipment LE. Operational information includes various types of information used to calculate the heat supply amount of each heat source device (first heat source device 21, second heat source device 22, and third heat source device 23) of the simultaneous hot and cold supply equipment 2. Operational information includes, for example, one or more of the following: heat output information, operating frequency information, and number of operating units. Heat output information is information on the amount of heat supplied (output) to the water by the heat source device. Heat output information can be expressed, for example, as the amount of heat output per unit time (J) or as an index value indicating the amount of heat output. When the flow rate of the water is kept constant, the temperature of the water (hot water temperature) can be used as an index value for heat output information. Operating frequency information is information indicating the frequency with which the heat source device performs heat output operations. Operating frequency information can be expressed, for example, as the number of transitions from a stopped state to an operating state (startup count) that occur per unit time. The operating unit information indicates the number of heat source devices (e.g., boilers) operating simultaneously. This information may be the numerical value of the number of operating heat source devices themselves, or it may be expressed as an index value, such as the ratio of the operating unit to the base unit. For example, if the total number of boilers in the second heat source device 22 is the base unit, the ratio of the operating unit will be the operating rate of the second heat source device 22. Note that the operating rate referred to here is the instantaneous operating rate and is distinct from the time operating rate, which is the ratio of operating time to load time.

[0074] Thus, the computer 10 (information processing device 6) is configured to acquire environmental information detected by the sensor group and operational information generated by the controller 61 via the communication network 8, and also has an information storage platform 35 for storing the acquired environmental information and operational information.

[0075] <4-3> Predictive Information Generation Module Figure 6 is a diagram illustrating the process flow for generating and transmitting the switching schedule 51 for the first heat source device 21. Figure 7 is a diagram illustrating the process for generating predicted information 50 of virtual heating demand and virtual cooling demand. As shown in Figures 6 and 7, the prediction information generation module 32 uses the heat demand prediction model 70 stored in the computer 10 to generate predicted information 50 of virtual heating demand 50A and virtual cooling demand 50B for each unit load time period on the day of operation.

[0076] The prediction model 70 is a change pattern model or a trained inference model for heat demand. The change pattern model or trained inference model is generated by utilizing environmental information stored in the information storage platform 35. For example, the information storage platform 35 collects and stores heat demand data for each unit load time period (e.g., every hour) throughout the year at the managed object (e.g., factory 4 in Figure 2).

[0077] <4-3-1> Model of changes in heat demand The heat demand change pattern model is a collection of statistical values ​​for heat demand for each unit load time period of the managed system. The heat demand change pattern model is created by applying statistical processing to the environmental information stored in the information storage platform 35.

[0078] A model of the pattern of changes in heat demand can be created, for example, by following these steps. First, the year is divided into winter (December-February), intermediate season (March-May), summer (June-August), and intermediate season (September-November), and representative values ​​are extracted from 12 heat demand data points for the same time period and day of the week for each period. Since the distribution of heat demand data is biased and affected by outliers, the representative values ​​to be extracted are considered to be most appropriate in the order of mode, median, and mean.

[0079] Arrange the representative values ​​for each day of the week in order of time of day to create a pattern of change in representative values ​​for one week. Create this pattern of change in representative values ​​for one week for each of the four periods that divide the year.

[0080] The representative values ​​extracted are predicted values ​​of heat demand for a given period, a given day of the week, and a given unit load time period, and in this specification, these are referred to as "virtual heat demand." The virtual heat demand for warming is the virtual warming demand, and the virtual heat demand for cooling is the virtual cooling demand. The change pattern of representative values ​​for one week for each period is calculated by determining the change pattern of the daily virtual heat demand for each period, on a day-of-the-week basis. The heat demand change pattern model includes change pattern data of the daily virtual heat demand for each unit load time period for each of the four periods, on a day-of-the-week basis. The heat demand change pattern model includes change pattern data of virtual warming demand and change pattern data of virtual cooling demand. Therefore, when the period and day of the week to which the day of operation belongs are specified, the virtual warming demand and virtual cooling demand for each unit load time period on the day of operation can be estimated from the change pattern data.

[0081] The length and timing of each period used to divide the year may vary depending on the region where the managed data is located. Furthermore, it is preferable to update the heat demand change pattern model by integrating and replacing data using additional historical information each year.

[0082] <4-3-2> Pre-trained inference model for heat demand The trained inference model for heat demand is an inference model created to output a predicted value of heat demand (virtual heat demand) using machine learning with environmental information stored in the information storage platform 35. The trained inference model is created to output, for example, the virtual heating demand or virtual cooling demand for the day of operation using regression analysis.

[0083] The training data used to create (learn) a pre-trained inference model consists of a dataset where features are used as explanatory variables and target labels are used as the target variable. Specifically, the training data is composed of three features: lunar phase, day of the week, and load time period, with the actual heat demand for each lunar phase, day of the week, and load time period identified by these features as the target labels. The training data includes a sufficient number of sample data for actual heat demand for each lunar phase, day of the week, and load time period. The actual heat demand is calculated from environmental information measured on-site using environmental sensors 5 (in this case, temperature sensors and flow sensors). The actual heat demand for each lunar phase, day of the week, and load time period is calculated based on the environmental information stored in the information storage platform 35.

[0084] The first explanatory variable, lunar phase, is defined as a variable from 1 to 12, for example, representing January to December. The second explanatory variable, day of the week, is defined as a variable from 1 to 7, for example, representing Sunday to Saturday (Thursday would be 5). The third explanatory variable, load time period, is defined as a variable from 1 to 24, dividing 24 hours into 1-hour intervals (0:00-1:00 is 1, 1:00-2:00 is 2, ..., 23:00-24:00 is 24).

[0085] The dependent variable, actual heat demand, may be expressed as either the absolute value of heat (in J) or the relative value of heat (in %). When using relative values, the sample data of actual heat demand is expressed as a percentage, with the maximum heat demand that can be generated by the load equipment LE set to 100%.

[0086] The trained inference model, through machine learning using the training data described above, acquires a regression equation that outputs a corresponding virtual heat demand (estimated heat demand) for any set of explanatory variables (lunar phase, day of the week, and load time period). A single trained inference model may output both virtual heating demand and virtual cooling demand. Alternatively, a trained inference model that outputs virtual heating demand and a trained inference model that outputs virtual cooling demand may be prepared separately.

[0087] By inputting three explanatory variables for the day of operation into the created trained inference model, it becomes possible to predict virtual heat demand and virtual cooling demand for each unit load time period. If the virtual heat demand is output as a percentage, it can be converted to an energy value (unit: J) by multiplying that percentage value by the maximum heat demand that can be generated by the load equipment LE. Arranging the predicted data of virtual heat demand and virtual cooling demand over time yields data equivalent to a heat demand change pattern model.

[0088] Note that the explanatory variables (input variables) of the trained inference model are not limited to the date and time information mentioned above.

[0089] The explanatory variables (input variables) may, for example, be the output information of the load equipment LE per unit load time. For example, if the load equipment LE is production machinery, information on the production quantity per unit load time may be used as the explanatory variable. In this case, the training data is composed of actual values ​​of the production quantity per unit load time (e.g., per hour) as features, and the actual heat demand required for the production quantity identified by these features as the training label. Through machine learning, a trained inference model is obtained that outputs a corresponding virtual heat demand (estimated value of heat demand) for the input of explanatory variables (production quantity per unit load time). By inputting the planned values ​​of the production quantity for each unit load time period on the day of operation into the trained inference model, it becomes possible to predict the virtual heat demand for each unit load time period.

[0090] Furthermore, the explanatory variables (input variables) may be, for example, operating information of the load equipment LE during a unit load time. For example, information such as the equipment load rate and power load rate of the load equipment LE during a unit load time may be used as explanatory variables. The equipment load rate is the ratio (percentage) of the amount of processing when the load equipment LE operates at the actual load for one hour to the amount of processing when it operates at the maximum load for one hour. The power load rate is the ratio (percentage) of the amount of power consumed when the load equipment LE operates at the actual load for one hour to the amount of power consumed when it operates at the maximum load for one hour. In this case, the training data is constructed using the actual values ​​of the equipment load rate or power load rate as features, and the actual heat demand generated at the equipment load rate or power load rate identified by those features as training labels. Through machine learning, a trained inference model is obtained that outputs the corresponding virtual heat demand (estimated value of heat demand) for each input of explanatory variables (equipment load rate or power load rate). By inputting the planned values ​​of the equipment load rate or power load rate for each unit load time period on the day of operation into the trained inference model, it becomes possible to predict the virtual heat demand for each unit load time period.

[0091] <4-3-3> Predictive Information The forecast information 50 is information on the virtual heat demand for each unit load time period on the day of operation. Specifically, the forecast information 50 includes the virtual heating demand 50A for each unit load time period on the day of operation and the virtual cooling demand 50B for each unit load time period on the day of operation. The forecast information generation module 32 generates the forecast information 50 of the virtual heat demand for each unit load time period on the day of operation using the heat demand forecast model 70 (i.e., the heat demand change pattern model or the trained inference model). Specifically, the forecast information generation module 32 obtains the virtual heat demand for each unit load time period on the day of operation from the change pattern model based on the period and day of the week to which the day of operation belongs. Alternatively, the forecast information generation module 32 obtains the virtual heat demand for each unit load time period on the day of operation by inputting information on explanatory variables for the day of operation into the trained inference model.

[0092] The forecast information 50 allows for the prediction of changes in virtual heat demand for each unit load time period on the day of operation, before such changes occur. In other words, the forecast information 50 allows for the prediction of the magnitude (heat quantity [J]) of heat demand at the load equipment LE to be determined in advance, at which load time period.

[0093] The prediction model 70 may include both a heat demand change pattern model and a trained inference model. Furthermore, the prediction model 70 may include multiple types of change pattern models and multiple types of trained inference models. If the prediction model 70 includes multiple models, the driver assistance application program 100 (prediction information generation module 32) may have a function to select the model to be used to generate the virtual heat demand prediction information 50.

[0094] <4-4> Schedule Planning Module As shown in Figure 6, the schedule planning module 33 plans the switching schedule 51 for the thermal output priority adjustment mode and the cooling output priority adjustment mode of the first heat source unit 21 on the day of operation, based on the forecast information 50. The thermal output priority adjustment mode and the cooling output priority adjustment mode are the operating modes of the first heat source unit 21.

[0095] The thermal output priority adjustment mode is an operating mode that harmonizes the amount of heat supplied by the first heat source device 21 with the amount of heat demand. When the first heat source device 21 is operating in the thermal output priority adjustment mode, the amount of heat supplied is balanced with the predicted amount of heat demand, while the amount of cold energy supplied does not follow the predicted amount of cold energy demand but is left to chance. In other words, the amount of cold energy supplied in the thermal output priority adjustment mode will be a value corresponding to the amount of heat supplied at that time.

[0096] The cooling output priority adjustment mode is an operating mode that harmonizes the cooling supply amount of the first heat source device 21 with the cooling demand. When the first heat source device 21 is operating in the cooling output priority adjustment mode, the cooling supply amount is balanced with the predicted cooling demand, while the heating supply amount does not follow the predicted heating demand but rather operates as is. In other words, the heating supply amount in the cooling output priority adjustment mode will be a value corresponding to the cooling supply amount at that time.

[0097] The switching schedule 51 specifies whether the first heat source unit 21 will be operated in a thermal output priority adjustment mode or a cooling output priority adjustment mode during each unit load time period. Based on the switching schedule 51 on the day of operation, the operating mode of the first heat source unit 21 is switched to either the thermal output priority adjustment mode or the cooling output priority adjustment mode.

[0098] The scheduling module 33 plans a switching schedule 51 to harmonize the heat supply to the smaller of the two heat demands, based on the predicted information 50 of the virtual heat demand 50A and virtual cooling demand 50B. The scheduling module 33 compares the virtual heat demand 50A and virtual cooling demand 50B for the same unit load time period. If the virtual heat demand 50A is smaller, the scheduling module 33 sets the operating mode for that unit load time period to the heat output priority adjustment mode. If the virtual cooling demand 50B is smaller, the scheduling module 33 sets the operating mode for that unit load time period to the cooling output priority adjustment mode.

[0099] Figure 8 is a graph showing an example of forecast information 50 and switching schedule 51. In the graph of Figure 8, the vertical axis represents heat quantity (heat demand [J], heat supply [J]) and the horizontal axis represents time. On the vertical axis, the positive side represents heat and the negative side represents cold. In the figure, the white circles represent the virtual heat demand 50A and virtual cold demand 50B, and the black circles represent the heat supply and cold supply of the first heat source device 21. When the heat demand and heat supply match, a black circle is plotted inside the white circle.

[0100] In the example in Figure 8, from time t1 to time t2, the virtual cooling demand 50B is smaller than the virtual heating demand 50A, so the operating mode is set to cooling output priority adjustment mode. From time t2 to time t3, the virtual heating demand 50A is smaller than the virtual cooling demand 50B, so the operating mode is set to heating output priority adjustment mode. From time t3 to time t4, the virtual cooling demand 50B is smaller than the virtual heating demand 50A, so the operating mode is set to cooling output priority adjustment mode.

[0101] In this way, the scheduling module 33 plans the switching schedule 51 for the day of operation from the predicted information 50 of the virtual heat demand 50A and virtual cooling demand 50B for the day of operation. This makes it possible to switch the operating mode of the first heat source device 21 according to the switching schedule 51 created in advance based on the predicted information 50, rather than switching the operating mode after detecting a change in the relationship between the actual heat demand and the actual cooling demand on the day of operation. Therefore, there is no time lag (response delay) compared to the conventional method where the heat demand in the load equipment LE changes, the change is detected by the environmental sensor 5, and the operating mode switching control is performed based on the detection result.

[0102] <4-5> Scheduled transmission module As shown in Figure 6, the schedule transmission module 34 transmits a thermal output priority adjustment mode execution signal 52A or a cooling output priority adjustment mode execution signal 52B to the first heat source device 21 according to the switching schedule 51.

[0103] The thermal output priority adjustment mode execution signal 52A is a signal that instructs the first heat source unit 21 to be operated in thermal output priority adjustment mode. The cooling output priority adjustment mode execution signal 52B is a signal that instructs the first heat source unit 21 to be operated in cooling output priority adjustment mode. The schedule transmission module 34 transmits the thermal output priority adjustment mode execution signal 52A or the cooling output priority adjustment mode execution signal 52B to the controller 61 via the communication network 8. The controller 61 switches the operating mode of the first heat source unit 21 according to the received signal. When the controller 61 receives the thermal output priority adjustment mode execution signal 52A, it operates the first heat source unit 21 in thermal output priority adjustment mode. When the controller 61 receives the cooling output priority adjustment mode execution signal 52B, it operates the first heat source unit 21 in cooling output priority adjustment mode. As a result, the operating mode of the first heat source unit 21 is switched according to the switching schedule 51.

[0104] For example, in the example shown in Figure 8, between time t1 and time t2, and between time t3 and time t4, the first heat source unit 21, operating in cooling output priority adjustment mode, operates to harmonize the cooling supply amount with the virtual cooling demand amount 50B. As a result, in Figure 8, the cooling supply amount harmonizes with the virtual cooling demand amount 50B, and the balance of cooling supply and demand stabilizes. For the first heat source unit 21, the heating capacity and cooling capacity at a given operating load do not necessarily coincide, so the amount of heat supplied in cooling output priority adjustment mode is a value corresponding to the cooling supply amount. Between time t2 and time t3, the first heat source unit 21, operating in heating output priority adjustment mode, operates to harmonize the heat supply amount with the virtual heating demand amount 50A. As a result, in Figure 8, the heat supply amount harmonizes with the virtual heating demand amount 50A, and the balance of cooling supply and demand stabilizes. The amount of cooling supplied in heating output priority adjustment mode is a value corresponding to the heat supply amount.

[0105] Thus, in this embodiment, the operating mode of the first heat source device 21 is not switched after a change in heat demand is detected. Instead, the operating mode switching schedule 51 is planned after predicting the time change in the virtual heat demand on the day of operation. Then, the operating mode of the first heat source device 21 is switched according to the pre-generated switching schedule 51, so there is no delay in response to fluctuations in heat demand, and the heat supply and demand balance is stabilized. As a result, the shortage of heat supply caused by the response delay is eliminated, and the unnecessary operation of peak load machines is suppressed, so the energy efficiency of the entire system is optimized.

[0106] The thermal output priority adjustment mode execution signal 52A or the cooling output priority adjustment mode execution signal 52B may be transmitted at the operating mode switching timing (for example, at times t2 and t3 in Figure 8), but may also be transmitted in advance before the switching timing arrives.

[0107] <4-6> Planned Value Generation Module Figure 9 is a diagram illustrating the process flow for generating and transmitting the first planned value 53 and the second planned value 54. The planned value generation module 37 creates an operation plan for the second heat source device 22 and the third heat source device 23 based on the forecast information 50 and the switching schedule 51.

[0108] <4-6-1> First Planned Value The planned value generation module 37 generates a first planned value 53 of the amount of heat supplied by the second heat source device 22 necessary to satisfy the virtual heat demand 50A, based on the forecast information 50 and the switching schedule 51. As shown in Figure 8, the forecast information 50 and the switching schedule 51 allow for the identification of a heat excess period in which the virtual heat demand 50A exceeds the heat supply amount of the first heat source device 21. If the heat supply capacity of the first heat source device 21 and the heat demand of the load equipment LE are appropriate, the heat excess period can be considered to coincide with the operating period in the cooling output priority adjustment mode.

[0109] The first planned value 53 is obtained by subtracting the heat supply amount 55A of the first heat source device 21 in the cooling output priority adjustment mode from the virtual heat demand amount 50A during the excess heat period. The planned value generation module 37 calculates the first planned value 53 by comparing the virtual heat demand amount 50A with the heat supply amount 55A of the first heat source device 21 for each unit load period included in the excess heat period.

[0110] <4-6-2> Second Planned Value The planned value generation module 37 generates a second planned value 54 of the amount of cooling supplied by the third heat source device 23 necessary to satisfy the virtual cooling demand 50B, based on the forecast information 50 and the switching schedule 51. From the forecast information 50 and the switching schedule 51, the cooling excess period can be identified in which the virtual cooling demand 50B exceeds the cooling supply amount 55B of the first heat source device 21. If the heat supply capacity of the first heat source device 21 and the heat demand of the load equipment LE are appropriate, the cooling excess period can be considered to coincide with the operating period in the thermal output priority adjustment mode.

[0111] The second planned value 54 is obtained by subtracting the amount of cold energy supplied by the first heat source device 21 in the thermal output priority adjustment mode 55B from the virtual cold energy demand 50B during the cold energy excess period. The planned value generation module 37 calculates the second planned value 54 by comparing the virtual cold energy demand 50B with the amount of cold energy supplied by the first heat source device 21 55B for each unit load period included in the cold energy excess period.

[0112] <4-7> Planned Value Transmission Module The planned value transmission module 38 transmits the first planned value 53 to the second heat source device 22, causing the second heat source device 22 to perform heating operation according to the first planned value 53. The planned value transmission module 38 also transmits the second planned value 54 to the third heat source device 23, causing the third heat source device 23 to perform heating operation according to the second planned value 54. The planned value transmission module 38 transmits the first planned value 53 and the second planned value 54 to the controller 61 via the communication network 8.

[0113] The controller 61 activates the second heat source unit 22 when a period of excess heating occurs, and heats the first water supply W1 under operating conditions corresponding to the first planned value 53. As a result, during the period of excess heating, the second heat source unit 22 operates to heat the first water supply W1 with a heat supply amount equivalent to the difference between the heat supply amount 55A and the virtual heat demand amount 50A of the first heat source unit 21 shown in Figure 8 (i.e., the first planned value 53). The controller 61 also activates the third heat source unit 23 when a period of excess cooling occurs, and cools the second water supply W2 under operating conditions corresponding to the second planned value 54. As a result, during the period of excess cooling, the third heat source unit 23 operates to cool the second water supply W2 with a heat supply amount equivalent to the difference between the cold energy supply amount 55B and the virtual cold energy demand amount 50B of the first heat source unit 21 shown in Figure 8 (i.e., the second planned value 54).

[0114] Thus, in this embodiment, the time changes of the virtual heat demand 50A and virtual cooling demand 50B on the day of operation are predicted, and after narrowing down the excess time periods for heat and cooling, the amount of heat supplied by the second heat source device 22 and the amount of cooling supplied by the third heat source device 23 are planned. As a result, the shortage in both the amount of heat supplied and the amount of cooling supplied, which corresponds to the shortage in the amount of heat supplied by the first heat source device 21, is resolved.

[0115] <4-8> Updated Model Preparation Module Figure 10 shows the process flow for preparing and applying an updated model 71 to the heat demand prediction model 70. As shown in Figure 10, the updated model preparation module 39 utilizes historical information 56 to prepare an updated model 71 to the prediction model 70 (heat demand change pattern model or trained inference model).

[0116] <4-8-1>History Information The history information 56 is historical (actual) information on the actual heat demand and actual cold demand for each unit load time period, collected while the simultaneous heating and cooling supply equipment 2 is in operation according to the switching schedule 51. The history information 56 is collected by the information processing module 31. While the simultaneous heating and cooling supply equipment 2 is in operation according to the switching schedule 51, the information processing module 31 acquires environmental information from the environmental sensor 5 and operating information of each heat source device (first heat source device 21, second heat source device 22, and third heat source device 23). From this information, the information processing module 31 calculates the actual heat demand and actual cold demand for each unit load time period and collects them as history information 56 for each unit load time period. The history information 56 of the actual heat demand and actual cold demand for each unit load time period is stored in the information storage platform 35.

[0117] <4-8-2> Updated Model The updated model 71 is a new (updated) prediction model prepared using the historical information 56. Specifically, at least one of the heat demand change pattern model and the trained inference model included in the prediction model 70 is updated using the most recent data obtained from the simultaneous heating and cooling equipment 2 that was actually operated according to the switching schedule 51. As a result, the prepared updated model 71 will reflect the most recent conditions such as the most recent state of the load equipment LE and the production process using the load equipment LE, enabling it to predict a more accurate virtual heat demand for the actual future heat demand.

[0118] <4-9> Updated Model Application Module The update model application module 40 applies the update model 71 to the operational prediction model 70 (change pattern model or trained inference model). The update model application module 40 replaces the prediction model 70 used by the prediction information generation module 32 with the update model 71 prepared by the update model preparation module 39. Therefore, after the application of the update model 71, the prediction model 70 shown in Figure 7 is replaced with the applied update model 71. As a result, the prediction information generation module 32 generates prediction information 50 using the update model 71 that reflects the most recent data.

[0119] <4-10> Thermal Cost Estimation Module Figure 11 shows the process flow for evaluating the benefits of capital investment based on energy cost estimation. As shown in Figure 11, the thermal cost estimation module 41 estimates the first thermal energy cost 81 of the second heat source device 22 and the second thermal energy cost 82 of the electric heat pump that is assumed to be added, based on the forecast information 50S for the specified operating days and the switching schedule 51S. In other words, the thermal cost estimation module 41 calculates the energy cost of the current second heat source device 22 and the energy cost of the electric heat pump if it were added.

[0120] <4-10-1> Forecast Information and Switching Schedule The forecast information 50S shown in Figure 11 is forecast information (virtual heating demand 50A and virtual cooling demand 50B for each unit load time period) generated for a specified operating day using the update model 71. The forecast information generation module 32 generates the forecast information 50S for the specified operating day using the update model 71 shown in Figure 10. The specified operating day is any operating day and is input, for example, via the user terminal 47. The generated forecast information 50S will include forecast values ​​of virtual heating demand 50A and virtual cooling demand 50B under the most recent conditions.

[0121] The switching schedule 51S is a switching schedule for a specified operating day, planned based on the forecast information 50S for that specified operating day. The schedule planning module 33 plans the switching schedule 51S for the specified operating day based on the forecast information 50S for that specified operating day. That is, for each unit load time period of the specified operating day, the schedule planning module 33 plans the switching schedule 51 so as to harmonize the amount of heat supply with the smaller of the virtual heat demand 50A and the virtual cooling demand 50B.

[0122] <4-10-2> 1. Thermal Energy Costs The thermal cost estimation module 41 estimates the amount of thermal energy supplied by the second heat source device 22 necessary to satisfy the virtual thermal energy demand 50A based on the forecast information 50S and switching schedule 51S for the specified operating day, and estimates the first thermal energy cost 81 of the second heat source device 22 based on the estimated amount of thermal energy supplied.

[0123] The amount of heat supply required to satisfy the virtual heat demand of 50A is information corresponding to the first planned value 53 for each unit load time period on a designated operating day, and is the difference between the amount of heat supplied by the first heat source device 21 and the virtual heat demand of 50A. The heat cost estimation module 41 estimates the daily energy cost associated with the operation of the second heat source device 22 on a designated operating day as the first heat energy cost 81, based on the amount of heat supplied by the second heat source device 22 for each unit load time period on a designated operating day. The estimated first heat energy cost 81 includes the fuel cost of the second heat source device 22 and the electricity cost of auxiliary equipment.

[0124] <4-10-3> Second: Thermal Energy Costs The thermal cost estimation module 41 estimates the amount of thermal energy supplied by an electric heat pump assumed to be added to satisfy the virtual thermal demand 50A, based on the forecast information 50S for the specified operating day and the switching schedule 51S, and estimates the second thermal energy cost 82 of the electric heat pump based on the estimated amount of thermal energy supplied.

[0125] The performance and specifications of the electric heat pumps to be added are pre-registered in database 36. The electric heat pumps are, for example, air-source heat pumps. The thermal cost estimation module 41 estimates the daily energy cost associated with the operation of the electric heat pumps on a specified operating day as the second thermal energy cost 82, based on the amount of heat supplied for each unit load time period on the specified operating day. The estimated second thermal energy cost 82 includes the electricity cost of the electric heat pumps.

[0126] By comparing the estimated first thermal energy cost 81 and the second thermal energy cost 82, it is possible to evaluate the degree of reduction in thermal energy costs due to the addition of electric heat pumps.

[0127] <4-11> Cooling Cost Estimation Module As shown in Figure 11, the cooling cost estimation module 42 estimates the first cooling energy cost 83 of the third heat source device 23 and the second cooling energy cost 84 of the electric chiller that is assumed to be added, based on the forecast information 50S for the specified operating day and the switching schedule 51S. In other words, the cooling cost estimation module 42 calculates the energy cost of the current third heat source device 23 and the energy cost of the electric chiller if it were to be added.

[0128] <4-11-1> 1. Cooling Energy Costs The cooling cost estimation module 42 estimates the amount of cooling supplied by the third heat source device 23 necessary to satisfy the virtual cooling demand 50B based on the forecast information 50S for the specified operating day and the switching schedule 51S, and estimates the first cooling energy cost 83 of the third heat source device 23 based on the estimated amount of cooling supplied.

[0129] The amount of cooling energy required to satisfy the virtual cooling demand 50B is information corresponding to the second planned value 54 for each unit load time period on a designated operating day, and is the difference between the amount of cooling energy supplied by the first heat source device 21 and the virtual cooling demand 50B. The cooling cost estimation module 42 estimates the daily energy cost associated with the operation of the third heat source device 23 on a designated operating day as the first cooling energy cost 83, based on the amount of cooling energy supplied for each unit load time period on a designated operating day. The estimated first cooling energy cost 83 includes the electricity cost of auxiliary equipment for driving the third heat source device 23, and in the case of an absorption chiller, it also includes fuel costs.

[0130] <4-11-2> Second: Cooling Energy Costs The cooling cost estimation module 42 estimates the amount of cooling supplied by an electric chiller that is assumed to be added to satisfy the virtual cooling demand 50B, based on the forecast information 50S for the specified operating day and the switching schedule 51S, and estimates the second cooling energy cost 84 of the electric chiller based on the estimated amount of cooling supplied.

[0131] The performance and specifications of any electric chillers to be added are pre-registered in the database 36. An electric chiller is, for example, an air-source chiller. The cooling cost estimation module 42 estimates the daily energy cost associated with the operation of the electric chiller on a specified operating day as the second cooling energy cost 84, based on the amount of cooling supplied for each unit load time period on that specified operating day. The estimated second cooling energy cost 84 includes the electricity cost of the electric chiller.

[0132] By comparing the estimated first cooling energy cost 83 and the second cooling energy cost 84, it is possible to evaluate the degree of reduction in cooling energy costs due to the addition of electric chillers.

[0133] <4-12> Merit Evaluation Module The merit evaluation module 43 evaluates whether there are customer benefits from adding thermal equipment (electric heat pump, electric chiller) based on the energy costs estimated by the heating cost estimation module 41 and the cooling cost estimation module 42. Customer benefits refer to the running cost reduction benefits for the user of the simultaneous heating and cooling equipment 2.

[0134] <4-12-1> Advantages of adding an electric heat pump The merit evaluation module 43 assesses whether there are customer benefits based on the estimated first thermal energy cost 81 and second thermal energy cost 82, as well as the capital investment costs associated with the addition of electric heat pumps.

[0135] The merit evaluation module 43 calculates the expected annual reduction in energy costs when an electric heat pump is added, based on the estimated first and second thermal energy costs 81 and 82. The merit evaluation module 43 uses this annual reduction in thermal energy costs and the capital investment cost to estimate the payback period of the added heat pump. If the estimated payback period is less than or equal to a predetermined threshold (e.g., 5 years), the merit evaluation module 43 evaluates that there is a benefit to the customer. On the other hand, if the annual reduction in thermal energy costs is small and the estimated payback period is longer than the threshold (e.g., 5 years), the merit evaluation module 43 evaluates that there is no benefit to the customer.

[0136] The merit evaluation module 43 transmits the evaluation results regarding the presence or absence of customer benefits to the UI provision module 46, which then presents the evaluation results to the customer (user) and the provider (manufacturer) of the driving support system 1. This allows for an objective evaluation of the effectiveness of further energy efficiency improvements through the addition of heat pumps, utilizing the predicted results of thermal demand. The fuel unit price and electricity unit price for estimating energy costs, as well as the unit price and installation costs corresponding to the heating capacity of the heat pump, are referenced from the corresponding database 36.

[0137] <4-12-2> Advantages of adding an electric chiller The merit evaluation module 43 assesses whether there are customer benefits based on the estimated first cooling energy cost 83 and second cooling energy cost 84, as well as the capital investment costs associated with the addition of electric chillers.

[0138] The merit evaluation module 43 calculates the expected annual reduction in energy costs from the estimated first cooling energy cost 83 and second cooling energy cost 84 when an electric chiller is added. The merit evaluation module 43 uses this annual reduction in cooling energy costs and the capital investment cost to estimate the depreciation period of the added chiller. If the estimated depreciation period is less than or equal to a predetermined threshold (e.g., 5 years), the merit evaluation module 43 evaluates that there is a benefit to the customer. On the other hand, if the annual reduction in cooling energy costs is small and the estimated depreciation period is longer than the threshold (e.g., 5 years), the merit evaluation module 43 evaluates that there is no benefit to the customer.

[0139] The merit evaluation module 43 transmits the evaluation results regarding the presence or absence of customer benefits to the UI provision module 46, which then presents the evaluation results to the customer (user) and the provider (manufacturer) of the operation support system 1. This allows for an objective evaluation of the effectiveness of further energy efficiency improvements through the addition of chillers, utilizing the forecast results for cooling demand. The fuel unit price and electricity unit price for estimating energy costs, as well as the unit price and installation costs corresponding to the cooling capacity of the chiller, are referenced from the corresponding database 36.

[0140] <4-13> Heat Supply Estimation Module Figure 12 shows the process flow for proposing the addition of a heat pump chiller based on the estimation of heat supply. As shown in Figure 12, the heat supply estimation module 44 estimates the amount of heat supplied by the second heat source device 22 55A1 necessary to satisfy the virtual heat demand 50A, and the amount of cold supply by the third heat source device 23 55B1 necessary to satisfy the virtual cold demand 50B, based on the forecast information 50S for the specified operating day and the switching schedule 51S.

[0141] The forecast information 50S is forecast information (virtual heating demand 50A and virtual cooling demand 50B per unit load time period) generated for a specified working day using the update model 71. The specified working day is any working day and is entered, for example, via the user terminal 47. The switching schedule 51S is the switching schedule for the specified working day, planned based on the forecast information 50S for the specified working day. The schedule planning module 33 plans the switching schedule 51S for the specified working day based on the forecast information 50S for the specified working day.

[0142] From the forecast information 50S and the switching schedule 51S for the specified operating day, the period of excess capacity is identified in which the heating capacity of the first heat source unit 21 is insufficient to meet the virtual heating demand 50A, and the cooling capacity of the first heat source unit 21 is insufficient to meet the virtual cooling demand 50B, requiring the simultaneous startup of the second heat source unit 22 and the third heat source unit 23.

[0143] Figure 13 is a graph illustrating the period of overcapacity. In the graph of Figure 13, the vertical axis represents heat quantity (heat demand [J], heat supply [J]), and the horizontal axis represents time. On the vertical axis, the positive side represents heat, and the negative side represents cold. In the figure, the white circles represent the virtual heat demand 50A and virtual cold demand 50B, and the black circles represent the heat supply and cold supply of the heat pump chiller equipped in the first heat source device 21.

[0144] For example, if a load equipment LE is added to factory 4, the heat supply capacity of the first heat source device 21 may be insufficient to meet the heat demand of the load equipment LE. In the example in Figure 13, one heat pump chiller has a heating capacity HC and a cooling capacity CC. The heating capacity HC and cooling capacity CC shown in Figure 13 represent the upper limits of the amount of heating and cooling that the heat pump chiller can supply during a unit load period, respectively. When the first heat source device 21 consists of one heat pump chiller, the maximum heat supply capacity of the first heat source device 21 is equal to the heating capacity HC and cooling capacity CC of the heat pump chiller. In the cooling output priority adjustment mode, the first heat source device 21 operates in harmony with the virtual cooling demand 50B, but in Figure 13, the virtual cooling demand 50B exceeds the cooling capacity CC, and the virtual heating demand 50A also exceeds the heating capacity HC. Furthermore, in the thermal output priority adjustment mode, the first heat source device 21 operates in harmony with the virtual thermal demand of 50A. However, in Figure 13, the virtual thermal demand of 50A exceeds the thermal supply capacity HC, and the virtual cooling demand of 50B also exceeds the cooling supply capacity CC.

[0145] Thus, Figure 13 shows a case where both the cooling output priority adjustment mode and the heating output priority adjustment mode are periods of excess capacity. During periods of excess capacity, the second heat source unit 22 and the third heat source unit 23 are operated simultaneously to compensate for the shortage of heating and cooling supply.

[0146] The heat supply estimation module 44 estimates the amount of heat supplied by the second heat source device 22 55A1 and the amount of cold supplied by the third heat source device 23 55B1, which are necessary to simultaneously satisfy the virtual heat demand 50A and virtual cold demand 50B during the overcapacity period, when the total amount of overcapacity period occurring on a designated operating day exceeds a predetermined percentage (for example, 80%) of the demand occurrence period (i.e., the total load period) of the change pattern model.

[0147] In this case, the amount of heat supplied by the second heat source device 22, 55A1, is the difference between the virtual heat demand 50A during the excess capacity period and the heat supply capacity HC of the first heat source device 21. The amount of cold energy supplied by the third heat source device 23, 55B1, is the difference between the virtual cold energy demand 50B during the excess capacity period and the cold energy supply capacity CC of the first heat source device 21.

[0148] <4-14> Additional Evaluation Module As shown in Figure 12, the expansion evaluation module 45 generates a message 85 recommending the addition of a heat pump chiller when both the estimated amount of heat supplied and the amount of cold supplied are greater than or equal to the heat supply capacity of the heat pump chiller.

[0149] The expansion evaluation module 45 generates a message 85 recommending the addition of a heat pump chiller, for example, when the estimated value of the heat supply amount 55A1 is greater than or equal to the heat supply capacity HC of the heat pump chiller during all periods of overcapacity, and the estimated value of the cold supply amount 55B1 is greater than or equal to the cold supply capacity CC of the heat pump chiller during all periods of overcapacity.

[0150] The example in Figure 13 shows a situation where the conditions for generating message 85 by the additional evaluation module 45 are met. In Figure 13, during all periods of overcapacity, the heat supply amount 55A1 is equal to or greater than the heat supply capacity HC of the first heat source device 21, and the cold supply amount 55B1 is equal to or greater than the cold supply capacity CC of the first heat source device 21. This means that during all periods of overcapacity, the virtual heat demand amount 50A is more than twice the heat supply capacity HC of the first heat source device 21, and the virtual cold demand amount 50B is more than twice the cold supply capacity CC of the first heat source device 21. Therefore, if the conditions for generating message 85 by the additional evaluation module 45 are met, it can be said that the shortage in the heat supply capacity of the heat pump chiller is equivalent to or greater than one heat pump chiller. In such cases, adding a heat pump chiller (first heat source unit 21) that provides both hot and cold temperatures simultaneously is more energy-efficient for the entire system than addressing the heat supply shortage with a boiler (second heat source unit 22) and a chiller (third heat source unit 23).

[0151] Therefore, the expansion evaluation module 45 generates a message 85 recommending the addition of a heat pump chiller if the conditions are met. The heat pump chiller recommended for addition is usually the same type as the one applied to the first heat source device 21. The expansion evaluation module 45 sends the generated message 85 to the UI provision module 46, which then presents the message 85 to the customer (user) or the provider (manufacturer) of the operation support system 1. This allows for the proposal of further energy efficiency improvements through the addition of a heat pump chiller, utilizing the heat demand forecast results.

[0152] <4-15> UI Provisioning Module As shown in Figure 5, the UI providing module 46 provides a user interface (UI) for displaying the operational performance of the driver assistance system 1 on the user terminal 47. The user interface is a means of accessing the driver assistance system 1. The user interface mainly includes a function to display the UI screen on the user terminal 47 and a function to receive operation input for various functions provided via the UI screen.

[0153] The UI provision module 46 displays various types of information on the user terminal 47, such as environmental information, operating information of the heat source equipment, operating conditions of the heat source equipment, operation plan of the load equipment LE, virtual heat demand, and history of actual heat demand. The UI provision module 46 also displays the evaluation results of whether or not there are customer benefits, generated by the merit evaluation module 43, and the message 85 generated by the expansion evaluation module 45 on the user terminal 47.

[0154] <4-16> Database Database 36 stores the operation plan of the load equipment LE, information on the load equipment LE, operating conditions of each heat source device, various thresholds, and equipment flow diagrams that depict the overall or partial configuration of the simultaneous heating and cooling equipment 2 and the factory 4. Database 36 also stores various information used in the processing of the merit evaluation module 43, such as information for estimating energy costs, the unit price and installation costs of electric heat pumps and electric chillers. Database 36 also stores various information used in the processing of the expansion evaluation module 45, such as information on the heating capacity HC and cooling capacity CC of the heat pump chillers.

[0155] [5] Example of configuration of a simultaneous hot and cold supply system The configuration of the simultaneous hot and cold water supply system 2 according to this embodiment for supplying water to the load equipment LE can take various forms and is not particularly limited. A typical example of the configuration of the simultaneous hot and cold water supply system 2 will be described below.

[0156] <5-1> First Configuration Example Figure 14 is a schematic diagram showing a first configuration example of the simultaneous hot and cold supply equipment 2 according to the embodiment. The load equipment LE in Figure 14 uses water indirectly. That is, the first load equipment LE1 outputs heat from the first water supply W1, and the second load equipment LE2 outputs cold from the second water supply W2.

[0157] The simultaneous hot and cold water supply system 2 comprises a first heat source device 21, a second heat source device 22, and a third heat source device 23. The simultaneous hot and cold water supply system 2 also includes a hot water tank 24A and a chilled water tank 24B, and a hot water line 25A and a chilled water line 25B.

[0158] <5-1-1> Configuration of the hot water line side In Figure 14, the hot water line 25A includes a first water distribution line 251 and a first water return line 252. The first water distribution line 251 and the first water return line 252 connect to the hot water tank 24A and the first load equipment LE1, respectively. In the hot water line 25A shown in Figure 14, the first water distribution line 251 and the first water return line 252 form a circulation line for the hot water loop system.

[0159] A water pump 253 is installed in the first water distribution line 251. The first water distribution line 251 is the supply piping that provides the first water W1 from the hot water tank 24A to the first load equipment LE1. The first water W1 stored in the hot water tank 24A is supplied to the first load equipment LE1 via the first water distribution line 251. At the first load equipment LE1, heat is extracted from the first water W1 through heat exchange, and the temperature of the first water W1 decreases. The first return water line 252 is the return piping that returns the first water W1 from the first load equipment LE1 to the hot water tank 24A. The first water W1 that has been used at the first load equipment LE1 and whose temperature has decreased flows to the first return water line 252.

[0160] The hot water tank 24A stores the first water supply W1, which is heated water for use. The hot water tank 24A is, for example, an open-type tank. The hot water tank 24A is equipped with a water level sensor 241 as an environmental sensor 5. When the water level sensor 241 detects a decrease in the water level in the hot water tank 24A, replenishment water is supplied to the hot water tank 24A through the replenishment water line 242. The hot water tank 24A may also be equipped with other environmental sensors 5. In this case, the environmental sensor 5 is a temperature sensor that detects the temperature of the first water supply W1 stored in the hot water tank 24A.

[0161] The first heat source device 21 is composed of a heat pump chiller. In the first configuration example shown in Figure 14, the first heat source device 21 includes a first sub-heat exchanger 216A, a first sub-circulation pump 217A, and a first sub-circulation line 218A.

[0162] The first sub-circulation line 218A connects the first sub-heat exchanger 216A to the refrigerant condenser 212 (see Figure 2) of the first heat source device 21. An intermediate heat transfer medium HM1 flows through the first sub-circulation line 218A. The intermediate heat transfer medium HM1 circulating through the first sub-circulation line 218A may be water (for example, softened water). The first sub-circulation pump 217A is provided in the first sub-circulation line 218A. The first sub-circulation pump 217A circulates the intermediate heat transfer medium HM1 flowing through the first sub-circulation line 218A.

[0163] The first heat source device 21 heats the intermediate heat transfer medium HM1 circulating in the first sub-circulation line 218A using a refrigerant condenser 212. The first heat source device 21 heats the first water supply W1 flowing through the first return water line 252 via the intermediate heat transfer medium HM1.

[0164] The first sub-heat exchanger 216A performs heat exchange between the first water supply W1 flowing through the first return water line 252 and the intermediate heat transfer medium HM1 flowing through the first sub-circulation line 218A. The first sub-heat exchanger 216A is located in the first return water line 252 and heats the first water supply W1 with the heat from the intermediate heat transfer medium HM1. The heated first water supply W1 is sent to the hot water tank 24A via the first return water line 252.

[0165] An environmental sensor 5 may be provided in the hot water line 25A. The environmental sensor 5 is a temperature sensor and may be provided in one or more locations in the hot water line 25A. The installation locations of the environmental sensor 5 include, for example, the first water distribution line 251 between the hot water tank 24A and the first load equipment LE1, the location upstream of the first sub-heat exchanger 216A in the first return water line 252, and the location downstream of the first sub-heat exchanger 216A in the first return water line 252. In Figure 14, the environmental sensor 5 is provided upstream of the location where the first sub-heat exchanger 216A is located in the first return water line 252. The upstream environmental sensor 5 is a temperature sensor that detects the return temperature of the first water supply W1. In Figure 14, the environmental sensor 5 is provided downstream of the location where the first sub-heat exchanger 216A is located in the first return water line 252. The downstream environmental sensor 5 is a temperature sensor that detects the temperature (hot water outlet temperature) of the first water supply W1 heated by the first heat source device 21.

[0166] The simultaneous hot and cold water supply system 2 includes a first circulation line 26A that circulates the first water W1 in the hot water tank 24A. The first circulation line 26A is connected at one end to the hot water tank 24A and is a line for circulating the first water W1 in the hot water tank 24A. The first circulation line 26A is equipped with a first circulation pump 261 and a sub-heat exchanger 222.

[0167] The second heat source device 22 heats the first water supply W1. The second heat source device 22 includes, for example, a group of steam boilers consisting of one or more steam boilers. The second heat source device 22 supplies steam ST to the steam line 221. The steam line 221 passes through the sub-heat exchanger 222.

[0168] The sub-heat exchanger 222 performs heat exchange between the first water supply W1 flowing through the first circulation line 26A and the steam ST flowing through the steam line 221. The sub-heat exchanger 222 heats the first water supply W1 with the heat from the steam ST from the second heat source device 22. The heated first water supply W1 is returned to the hot water tank 24A via the first circulation line 26A. The first circulation line 26A may be equipped with a temperature sensor as an environmental sensor 5 to detect the temperature of the first water supply W1 heated by the second heat source device 22.

[0169] Thus, in the hot water line 25A of the first configuration example, the first heat source device 21 heats the first water supply W1 via the first sub-heat exchanger 216A located in the first return water line 252. The second heat source device 22 heats the first water supply W1 via the sub-heat exchanger 222 located in the first circulation line 26A.

[0170] The configuration of the first heat source device 21 may also be such that the first return water line 252 is directly connected to the refrigerant condenser 212. In this case, the first heat source device 21 heats the first water W1 circulating in the first return water line 252 using the refrigerant circulating in the refrigerant circulation line 215, via the refrigerant condenser 212. In this case, the first sub-heat exchanger 216A, the first sub-circulation pump 217A, and the first sub-circulation line 218A can be omitted.

[0171] The second heat source device 22 may be configured to directly heat the first water W1 in the hot water tank 24A. In this case, a steam heater is placed in the hot water tank 24A through which the steam line 221 passes. The steam heater heats the first water W1 with the heat of the steam ST. In this case, the sub-heat exchanger 222 and the first circulation line 26A can be omitted.

[0172] <5-1-2> Configuration of the chilled water line In Figure 14, the chilled water line 25B includes a second water distribution line 255 and a second water return line 256. The second water distribution line 255 and the second water return line 256 connect the chilled water tank 24B and the second load equipment LE2, respectively. In the chilled water line 25B shown in Figure 14, the second water distribution line 255 and the second water return line 256 form a circulation line for the chilled water loop system.

[0173] A water pump 257 is installed in the second water distribution line 255. The second water distribution line 255 is the supply piping that provides the second water W2 from the chilled water tank 24B to the second load equipment LE2. The second water W2 stored in the chilled water tank 24B is supplied to the second load equipment LE2 via the second water distribution line 255. In the second load equipment LE2, cold energy is extracted from the second water W2 through heat exchange, and the temperature of the second water W2 rises. The second return water line 256 is the return piping that returns the second water W2 from the second load equipment LE2 to the chilled water tank 24B. The second water W2 that has been used in the second load equipment LE2 and whose temperature has risen flows to the second return water line 256.

[0174] The chilled water tank 24B stores the second water supply W2, which is chilled water. The chilled water tank 24B is, for example, an open-type tank. The chilled water tank 24B is equipped with a water level sensor 243 as an environmental sensor 5. When the water level sensor 243 detects a decrease in the water level in the chilled water tank 24B, replenishment water is supplied to the chilled water tank 24B through the replenishment water line 244. The chilled water tank 24B may also be equipped with other environmental sensors 5. In this case, the environmental sensor 5 is a temperature sensor that detects the temperature of the second water supply W2 stored in the chilled water tank 24B.

[0175] In the first configuration example shown in Figure 14, the first heat source device 21 includes a second sub-heat exchanger 216B, a second sub-circulation pump 217B, and a second sub-circulation line 218B.

[0176] The second sub-circulation line 218B connects the second sub-heat exchanger 216B to the refrigerant evaporator 211 (see Figure 2) of the first heat source device 21. Intermediate heat transfer medium HM2 flows through the second sub-circulation line 218B. The intermediate heat transfer medium HM2 circulating through the second sub-circulation line 218B may be water (for example, softened water). The second sub-circulation pump 217B is installed in the second sub-circulation line 218B. The second sub-circulation pump 217B circulates the intermediate heat transfer medium HM2 flowing through the second sub-circulation line 218B.

[0177] The first heat source device 21 cools the intermediate heat transfer medium HM2 circulating in the second sub-circulation line 218B using a refrigerant evaporator 211. The first heat source device 21 also cools the second water supply W2 flowing through the second return water line 256 via the intermediate heat transfer medium HM2.

[0178] The second sub-heat exchanger 216B performs heat exchange between the second water supply W2 flowing through the second return water line 256 and the intermediate heat transfer medium HM2 flowing through the second sub-circulation line 218B. The second sub-heat exchanger 216B is located in the second return water line 256 and cools the second water supply W2 with the cold energy of the intermediate heat transfer medium HM2. The cooled second water supply W2 is sent to the chilled water tank 24B via the second return water line 256.

[0179] An environmental sensor 5 may be provided in the chilled water line 25B. The environmental sensor 5 is a temperature sensor and may be provided in one or more locations in the chilled water line 25B. The installation locations of the environmental sensor 5 include, for example, the second water distribution line 255 between the chilled water tank 24B and the second load equipment LE2, the location upstream of the second sub-heat exchanger 216B in the second return water line 256, and the location downstream of the second sub-heat exchanger 216B in the second return water line 256. In Figure 14, the environmental sensor 5 is provided upstream of the location where the second sub-heat exchanger 216B is located in the second return water line 256. The upstream environmental sensor 5 is a temperature sensor that detects the return temperature of the second water supply W2. In Figure 14, the environmental sensor 5 is provided downstream of the location where the second sub-heat exchanger 216B is located in the second return water line 256. The downstream environmental sensor 5 is a temperature sensor that detects the temperature (outlet temperature) of the second water supply W2 cooled by the first heat source device 21.

[0180] The simultaneous hot and cold water supply system 2 includes a second circulation line 26B that circulates the second water W2 in the chilled water tank 24B. The second circulation line 26B is connected at one end to the chilled water tank 24B and is a line for circulating the second water W2 in the chilled water tank 24B. The second circulation line 26B is equipped with a second circulation pump 262 and a sub-heat exchanger 231.

[0181] The third heat source device 23 cools the second water supply W2. The third heat source device 23 includes a group of refrigerators consisting of one or more refrigerators. The refrigerators may be absorption or adsorption type refrigerators. The third heat source device 23 includes a sub-heat exchanger 231, a sub-circulation pump 232, and a sub-circulation line 233.

[0182] The sub-circulation line 233 connects the sub-heat exchanger 231 and the third heat source device 23. Intermediate heat transfer medium HM3 flows through the sub-circulation line 233. The intermediate heat transfer medium HM3 circulating in the sub-circulation line 233 may be water (for example, softened water). A sub-circulation pump 232 is provided in the sub-circulation line 233. The sub-circulation pump 232 circulates the intermediate heat transfer medium HM3 flowing through the sub-circulation line 233.

[0183] The third heat source device 23 cools the intermediate heat transfer medium HM3 circulating in the sub-circulation line 233. The third heat source device 23 cools the second water supply W2 circulating in the second circulation line 26B via the intermediate heat transfer medium HM3.

[0184] The sub-heat exchanger 231 performs heat exchange between the second water W2 flowing through the second circulation line 26B and the intermediate heat transfer medium HM3 circulating through the sub-circulation line 233. The sub-heat exchanger 231 is located in the second circulation line 26B and cools the second water W2 with the cold energy of the intermediate heat transfer medium HM3 from the third heat source device 23. The cooled second water W2 is returned to the chilled water tank 24B via the second circulation line 26B. The second circulation line 26B may be equipped with a temperature sensor as an environmental sensor 5 to detect the temperature of the second water W2 cooled by the third heat source device 23.

[0185] Thus, in the chilled water line 25B of the first configuration example, the first heat source device 21 cools the second water supply W2 via the second sub-heat exchanger 216B located in the second return water line 256. The third heat source device 23 cools the second water supply W2 via the sub-heat exchanger 231 located in the second circulation line 26B.

[0186] The configuration of the first heat source device 21 may also be such that the second return water line 256 is directly connected to the refrigerant evaporator 211. In this case, the first heat source device 21 cools the second water W2 circulating in the second return water line 256 using the refrigerant evaporator 211. In this case, the second sub-heat exchanger 216B, the second sub-circulation pump 217B, and the second sub-circulation line 218B can be omitted.

[0187] The configuration of the third heat source device 23 may also be such that the second circulation line 26B is directly connected to the chiller. In this case, the third heat source device 23 cools the second water W2 circulating in the second circulation line 26B using the chiller. In this case, the sub-heat exchanger 231, the sub-circulation pump 232, and the sub-circulation line 233 can be omitted.

[0188] <5-2> Second Configuration Example Figure 15 is a schematic diagram showing a second configuration example of the simultaneous hot and cold water supply system 2 according to the embodiment. In Figure 15, the load equipment LE directly uses water. That is, the first load equipment LE1 outputs hot water from the first water supply W1, and the second load equipment LE2 outputs chilled water from the second water supply W2. Note that in the second configuration example, explanations of configurations similar to those in the first configuration example may be omitted.

[0189] As shown in Figure 15, in the first configuration example, a return water line is provided to return the water from the load equipment LE to the water tank. However, in the hot and cold simultaneous supply equipment 2 according to the second configuration example, no return water line is provided. In other words, in this second configuration example, the load equipment LE directly uses the water, for example, as washing water. Since the water is consumed in the load equipment LE, it is not returned to the water tank.

[0190] In the hot and cold water supply equipment 2 according to the second configuration example, the water supply line 25C is connected to the hot water tank 24A and the cold water tank 24B, respectively. That is, the water supply line 25C includes a first water supply line 301 connected to the hot water tank 24A and a second water supply line 302 connected to the cold water tank 24B. The first water supply line 301 carries the first water supply line 301. The first water supply line 301 branches into branch line 301A and branch line 301B, and then merges before reaching the hot water tank 24A. The second water supply line 302 carries the second water supply line 302. The second water supply line 302 branches into branch line 302A and branch line 302B, and then merges before reaching the cold water tank 24B.

[0191] <5-2-1> Configuration of the first water supply line Branch line 301A is equipped with a first water supply pump 303A, a first water valve 304A, and a first sub-heat exchanger 216A of the first heat source device 21. Branch line 301B is equipped with a second water supply pump 303B and a second water valve 304B. The first water valve 304A and the second water valve 304B are opened and closed in conjunction with the starting and stopping of the first water supply pump 303A and the second water supply pump 303B, which are on the same line.

[0192] The first heat source device 21 heats the first water supply W1 flowing through the first water supply line 301. Specifically, the first heat source device 21 heats the first water supply W1 flowing through the branch line 301A. The first heat source device 21 heats the intermediate heat transfer medium HM1 circulating through the first sub-circulation line 218A. The first sub-heat exchanger 216A performs heat exchange between the first water supply W1 flowing through the branch line 301A and the intermediate heat transfer medium HM1 flowing through the first sub-circulation line 218A. The heat from the intermediate heat transfer medium HM1 heats the first water supply W1. Here, the configuration in which the first heat source device 21 heats the first water supply W1 is the same as in the first configuration example described above, so the explanation is omitted.

[0193] One or more environmental sensors 5 may be provided in the first water supply line 301. In Figure 15, the environmental sensors 5 are provided downstream of the location where the first sub-heat exchanger 216A is located in the branch line 301A. The downstream environmental sensors 5 are temperature sensors that detect the temperature (hot water outlet temperature) of the first water supply W1 heated by the first heat source device 21.

[0194] The hot water tank 24A is supplied with first water W1 heated in branch line 301A and first water W1 that has passed through branch line 301B. The first circulation line 26A is connected to the hot water tank 24A. The first circulation line 26A is equipped with a first circulation pump 261 and a sub-heat exchanger 222.

[0195] The second heat source device 22 heats the first water supply W1 flowing through the first circulation line 26A. The second heat source device 22 supplies steam ST to the steam line 221 that passes through the sub-heat exchanger 222.

[0196] The sub-heat exchanger 222 performs heat exchange between the first water supply W1 flowing through the first circulation line 26A and the steam ST flowing through the steam line 221, and heats the first water supply W1 with the heat of the steam ST. The first water supply W1, which has been heated, is returned to the hot water tank 24A via the first circulation line 26A. The first circulation line 26A may be equipped with a temperature sensor as an environmental sensor 5 to detect the temperature of the first water supply W1 heated by the second heat source device 22.

[0197] A first water distribution line 251 is connected to the hot water tank 24A. The first water distribution line 251 connects the hot water tank 24A to the first load equipment LE1. A water supply pump 253 is provided in the first water distribution line 251. The first water W1 stored in the hot water tank 24A is supplied to the first load equipment LE1 via the first water distribution line 251. When a decrease in water level in the hot water tank 24A is detected by the water level sensor 241, replenishment water is supplied to the hot water tank 24A via the branch line 301B. The hot water tank 24A may also be equipped with other environmental sensors 5. In this case, the environmental sensors 5 are temperature sensors that detect the temperature of the first water W1 stored in the hot water tank 24A.

[0198] Thus, in the second configuration example, the first heat source device 21 heats the first water supply W1 via the first sub-heat exchanger 216A located in the branch line 301A. The second heat source device 22 heats the first water supply W1 via the sub-heat exchanger 222 located in the first circulation line 26A.

[0199] In addition, similar to the first configuration example described above, the configuration of the first heat source device 21 may be such that the branch line 301A is directly connected to the refrigerant condenser 212. In this case, the first sub-heat exchanger 216A, the first sub-circulation pump 217A, and the first sub-circulation line 218A can be omitted. The configuration of the second heat source device 22 may be such that the first water W1 in the hot water tank 24A is directly heated. In this case, the sub-heat exchanger 222 and the first circulation line 26A can be omitted.

[0200] <5-2-2> Configuration of the second water supply line Branch line 302A is equipped with a first water supply pump 305A, a first water valve 306A, and a second sub-heat exchanger 216B of the first heat source device 21. Branch line 302B is equipped with a second water supply pump 305B and a second water valve 306B. The first water valve 306A and the second water valve 306B are opened and closed in conjunction with the starting and stopping of the first water supply pump 305A and the second water supply pump 305B, which are on the same line.

[0201] The first heat source device 21 cools the second water supply W2 flowing through the second water supply line 302. Specifically, the first heat source device 21 cools the second water supply W2 flowing through the branch line 302A. The first heat source device 21 cools the intermediate heat transfer medium HM2 circulating through the second sub-circulation line 218B. The second sub-heat exchanger 216B performs heat exchange between the second water supply W2 flowing through the branch line 302A and the intermediate heat transfer medium HM2 flowing through the second sub-circulation line 218B, and cools the second water supply W2 with the cold energy of the intermediate heat transfer medium HM2. Here, the configuration in which the first heat source device 21 cools the second water supply W2 is the same as in the first configuration example above, so the explanation is omitted.

[0202] One or more environmental sensors 5 may be provided in the second water supply line 302. In Figure 15, the environmental sensors 5 are provided downstream of the location where the second sub-heat exchanger 216B is located in the branch line 302A. The downstream environmental sensors 5 are temperature sensors that detect the temperature (outlet temperature) of the second water supply W2 cooled by the first heat source device 21.

[0203] The chilled water tank 24B is supplied with the second water W2 cooled by the branch line 302A and the second water W2 that has passed through the branch line 302B. The chilled water tank 24B is connected to the second circulation line 26B. The second circulation line 26B is equipped with a second circulation pump 262 and a sub-heat exchanger 231.

[0204] The third heat source device 23 cools the intermediate heat transfer medium HM3 circulating in the sub-circulation line 233. The sub-heat exchanger 231 performs heat exchange between the second water supply W2 flowing in the second circulation line 26B and the intermediate heat transfer medium HM3 circulating in the sub-circulation line 233, and cools the second water supply W2 with the cold energy of the intermediate heat transfer medium HM3. Here, the configuration in which the third heat source device 23 cools the second water supply W2 is the same as in the first configuration example described above, so the explanation is omitted. The second circulation line 26B may be equipped with a temperature sensor as an environmental sensor 5 that detects the temperature of the second water supply W2 cooled by the third heat source device 23.

[0205] A second water distribution line 255 is connected to the chilled water tank 24B. The second water distribution line 255 connects the chilled water tank 24B to the second load equipment LE2. A water supply pump 257 is provided in the second water distribution line 255. The second water W2 stored in the chilled water tank 24B is supplied to the second load equipment LE2 via the second water distribution line 255. When a decrease in water level in the chilled water tank 24B is detected by the water level sensor 243, replenishment water is supplied to the chilled water tank 24B via the branch line 302B. The chilled water tank 24B may also be equipped with other environmental sensors 5. In this case, the environmental sensors 5 are temperature sensors that detect the temperature of the second water W2 stored in the chilled water tank 24B.

[0206] Thus, in the second configuration example, the first heat source device 21 cools the second water supply W2 via the second sub-heat exchanger 216B located in the branch line 302A. The third heat source device 23 cools the second water supply W2 via the sub-heat exchanger 231 located in the second circulation line 26B.

[0207] In addition, similar to the first configuration example described above, the configuration of the first heat source device 21 may be such that the branch line 302A is directly connected to the refrigerant evaporator 211. In this case, the second sub-heat exchanger 216B, the second sub-circulation pump 217B, and the second sub-circulation line 218B can be omitted. The configuration of the third heat source device 23 may be such that the second circulation line 26B is directly connected to the chiller. In this case, the sub-heat exchanger 231, the sub-circulation pump 232, and the sub-circulation line 233 can be omitted.

[0208] [6] Driving assistance methods and driving assistance application programs Figure 16 is a flowchart illustrating a driving assistance method according to an embodiment. Figure 16 is both a processing flowchart that the driving assistance application program 100 according to the embodiment causes the computer 10 to execute, and an operation flowchart of the driving assistance system 1 according to the embodiment.

[0209] The operation support method according to this embodiment is an operation support method for a simultaneous hot and cold water supply system 2 that includes a first heat source device 21 that heats the first water supply W1 while cooling the second water supply W2 using a heat pump chiller.

[0210] As shown in Figure 16, the operation support method according to the embodiment includes generating prediction information 50 of virtual heating demand 50A and virtual cooling demand 50B for each unit load time period on the day of operation using a heat demand change pattern model or a trained inference model (prediction model 70) stored in the computer 10 (step S10). The operation support application program 100 causes the computer 10 to operate as a prediction information generation module 32 and executes the process of generating prediction information 50 of virtual heating demand 50A and virtual cooling demand 50B for each unit load time period.

[0211] The operation support method according to the embodiment includes the computer 10 planning a switching schedule 51 for the thermal output priority adjustment mode and the cooling output priority adjustment mode of the first heat source device 21 on the day of operation, based on the predicted information 50 (step S11). The operation support application program 100 causes the computer 10 to operate as a schedule planning module 33 and executes the process of planning the switching schedule 51 for the thermal output priority adjustment mode and the cooling output priority adjustment mode.

[0212] The operation support method according to the embodiment includes the computer 10 transmitting a thermal output priority adjustment mode execution signal 52A or a cooling output priority adjustment mode execution signal 52B to the first heat source device 21 via the communication network 8 according to the switching schedule 51 (step S12). The operation support application program 100 causes the computer 10 to operate as a schedule transmission module 34 and execute the process of transmitting the thermal output priority adjustment mode execution signal 52A or the cooling output priority adjustment mode execution signal 52B. The controller 61 switches the operating mode of the first heat source device 21 based on the thermal output priority adjustment mode execution signal 52A or the cooling output priority adjustment mode execution signal 52B. As a result, the supply and demand balance of thermal or cooling is stabilized.

[0213] Furthermore, as shown in Figure 9, the operation support method according to the embodiment includes the computer 10 generating a first planned value 53 of the amount of heat supplied by the second heat source device 22 necessary to satisfy the virtual heat demand 50A, based on the forecast information 50 and the switching schedule 51 (step S20). The operation support method according to the embodiment also includes the computer 10 generating a second planned value 54 of the amount of cold supply by the third heat source device 23 necessary to satisfy the virtual cold demand 50B, based on the forecast information 50 and the switching schedule 51 (step S21). The operation support application program 100 causes the computer 10 to operate as a planned value generation module 37 and executes the process of generating the first planned value 53 and the second planned value 54, respectively.

[0214] The operation support method according to the embodiment includes, by having the computer 10 transmit a first planned value 53 to the second heat source device 22 and cause the second heat source device 22 to perform heating operation according to the first planned value 53, and by having the computer 10 transmit a second planned value 54 to the third heat source device 23 and cause the third heat source device 23 to perform heating operation according to the second planned value 54 (step S22). The operation support application program 100 operates the computer 10 as a planned value transmission module 38 to perform the processing of heating operation of the second heat source device 22 according to the first planned value 53 or heating operation of the third heat source device 23 according to the second planned value 54. As a result, based on the prediction information 50, heating and cooling are carried out so that there is no shortage of heat supply amount from the second heat source device 22 and cooling supply amount from the third heat source device 23 in relation to the heat demand.

[0215] [7] Effects As described above, in this embodiment, the operation support application program 100 is an operation support application program 100 that operates on a computer 10 capable of sending and receiving information via a communication network 8 with a simultaneous hot and cold supply equipment 2 which includes a first heat source device 21 that heats the first water W1 while cooling the second water W2 using a heat pump chiller. The computer 10 is instructed to perform the following actions: generate prediction information 50 of virtual hot energy demand 50A and virtual cold energy demand 50B for each unit load time period on the day of operation using a heat demand change pattern model or a trained inference model stored in the computer 10 (function of prediction information generation module 32); plan a switching schedule 51 for the hot energy output priority adjustment mode and the cold energy output priority adjustment mode of the first heat source device 21 on the day of operation based on the prediction information 50 (function of schedule planning module 33); and transmit a hot energy output priority adjustment mode execution signal 52A or a cold energy output priority adjustment mode execution signal 52B to the first heat source device 21 according to the switching schedule 51 (function of schedule transmission module 34).

[0216] According to this configuration, the forecast information 50 is used to plan a switching schedule 51 for the heat pump chiller on the day of operation, which will either be a thermal output priority adjustment mode or a cooling output priority adjustment mode. Once the switching schedule 51 is generated, this information is transmitted to the controller 61, and the heat pump chiller is operated in the operating mode corresponding to the switching schedule 51. When operating in thermal output priority adjustment mode, the amount of heat supplied is harmonized with the predicted amount of heat demand, eliminating the time lag in the response of heat supply to changes in heat demand, and ensuring a perfectly stable balance of heat supply and demand. On the other hand, when operating in cooling output priority adjustment mode, the amount of cooling supply is harmonized with the predicted amount of cooling demand, eliminating the time lag in the response of cooling supply to changes in cooling demand, and ensuring a perfectly stable balance of cooling supply and demand. As a result, peak load machines can be operated without waste, and the overall energy efficiency of the system is optimized.

[0217] In this embodiment, the simultaneous hot and cold supply equipment 2 further includes a second heat source device 22 that heats the first water supply W1 with a boiler, and a third heat source device 23 that cools the second water supply W2 with a chiller. The operation support application program 100 further causes the computer 10 to: generate a first planned value 53 of the amount of heat supplied by the second heat source device 22 necessary to satisfy the virtual heat demand 50A based on the forecast information 50 and the switching schedule 51; generate a second planned value 54 of the amount of cold supply by the third heat source device 23 necessary to satisfy the virtual cold demand 50B based on the forecast information 50 and the switching schedule 51; transmit the first planned value 53 to the second heat source device 22 to perform a heating operation of the second heat source device 22 in accordance with the first planned value 53; and transmit the second planned value 54 to the third heat source device 23 to perform a heating operation of the third heat source device 23 in accordance with the second planned value 54. In this configuration, a first planned value 53 for the amount of heat supplied by the second heat source device 22 necessary to satisfy the virtual heat demand 50A, and a second planned value 54 for the amount of cold supplied by the third heat source device 23 necessary to satisfy the virtual cold demand 50B are generated. The first planned value 53 can be calculated by subtracting the heat supply capacity of the heat pump chiller in the cold output priority adjustment mode from the virtual heat demand 50A (peak demand). The second planned value 54 can be calculated by subtracting the cold supply capacity of the heat pump chiller in the heat output priority adjustment mode from the virtual cold demand 50B (peak demand). By predicting the temporal changes in the virtual heating demand 50A and virtual cooling demand 50B on the day of operation, and narrowing down the excess periods for heating and cooling, the amount of heating supplied by the second heat source device 22 and the amount of cooling supplied by the third heat source device 23 are planned, thereby eliminating supply and demand shortages for both heating and cooling.

[0218] In this embodiment, the simultaneous heating and cooling equipment 2 includes a sensor group consisting of one or more environmental sensors 5, and a controller 61 that controls the operation of the first heat source device 21 and the second heat source device 22. The computer 10 is configured to acquire environmental information detected by the sensor group and operational information generated by the controller 61 via a communication network 8, and has an information storage platform 35 that stores the acquired environmental and operational information. The change pattern model or trained inference model is generated by utilizing the environmental information stored in the information storage platform 35. In this configuration, by storing environmental and operational information in the information storage platform 35, it becomes possible to generate historical information 56 of actual hourly heating demand and actual cooling demand corresponding to a predetermined season and predetermined day of the week, for example, from the stored environmental information. From the historical information 56, a change pattern model of heat demand can be generated by statistical processing, and a trained inference model can be generated by machine learning. As a result, the obtained change pattern model and trained inference model can be used to appropriately predict the virtual heating demand 50A and virtual cooling demand 50B on the day of operation, reflecting past changes in actual heating demand and actual cooling demand.

[0219] In this embodiment, the operation support application program 100 causes the computer 10 to collect historical information 56 of the actual heat demand and actual cold demand for each unit load time period while the simultaneous heating and cooling equipment 2 is in operation according to the switching schedule 51, to prepare an updated model 71 of the change pattern model or trained inference model using the historical information 56, and to apply the updated model 71 to the change pattern model or trained inference model in operation. In this configuration, the change pattern model or trained inference model in operation is updated based on the historical information 56 of the actual heat demand and actual cold demand collected during the actual operation period in which the simultaneous heating and cooling equipment 2 is operated according to the switching schedule 51. This makes it possible to improve the prediction accuracy of the virtual heat demand 50A and virtual cold demand 50B by reflecting the latest (most recent) status of the simultaneous heating and cooling equipment 2.

[0220] In this embodiment, the driver assistance application program 100 generates forecast information 50S for a specified operating day using the update model 71 on the computer 10, plans a switchover schedule 51S for the specified operating day based on the forecast information 50S for the specified operating day, estimates the amount of heat supplied by the second heat source device 22 necessary to satisfy the virtual heat demand 50A based on the forecast information 50S and the switchover schedule 51S for the specified operating day, and calculates the first heat energy cost 81 of the second heat source device 22 based on the estimated amount of heat supplied. The system further performs the following: estimating the amount of heat supplied by an electric heat pump assumed to be added to satisfy the virtual heat demand 50A based on the forecast information 50S and switching schedule 51S for the specified operating day; estimating the second thermal energy cost 82 of the electric heat pump based on the estimated heat supply amount; and evaluating whether there is a customer benefit based on the estimated first thermal energy cost 81 and second thermal energy cost 82, as well as the capital investment cost associated with the addition of the electric heat pump. In this configuration, the first thermal energy cost 81 of the second heat source device 22 generated to satisfy the virtual heat demand 50A is estimated from the forecast information 50S and switching schedule 51S for the specified operating day. The second thermal energy cost 82 of the electric heat pump is estimated assuming that an electric heat pump has been added to satisfy the virtual heat demand 50A based on the forecast information 50S and switching schedule 51S for the specified operating day. Based on the estimated energy costs, it is possible to calculate, for example, the expected annual reduction in energy costs if electric heat pumps are added, as well as the depreciation period of the added heat pumps, and evaluate whether there are any benefits for the customer. This allows for an objective evaluation of the effectiveness of further energy efficiency improvements through the addition of heat pumps, utilizing the predicted results of thermal demand.

[0221] In this embodiment, the driver assistance application program 100 generates forecast information 50S for a specified operating day using the update model 71 on the computer 10, plans a switchover schedule 51S for the specified operating day based on the forecast information 50S for the specified operating day, estimates the amount of cooling supplied by the third heat source device 23 necessary to satisfy the virtual cooling demand 50B based on the forecast information 50S and the switchover schedule 51S for the specified operating day, and calculates the first cooling energy of the third heat source device 23 based on the estimated amount of cooling supplied. The system further performs the following: estimating cost 83; estimating the amount of cold energy supplied by an electric chiller assumed to be added to satisfy the virtual cold energy demand 50B based on the forecast information 50S and switchover schedule 51S for the specified operating day; estimating the second cold energy cost 84 of the electric chiller based on the estimated cold energy supply; and evaluating whether there is a customer benefit based on the estimated first cold energy cost 83 and second cold energy cost 84, as well as the capital investment cost associated with the addition of the electric chiller. In this configuration, the first cold energy cost 83 of the third heat source device 23 generated to satisfy the virtual cold energy demand 50B is estimated from the forecast information 50S and switchover schedule 51S for the specified operating day. The second cold energy cost 84 of the electric chiller is estimated assuming that an electric chiller has been added to satisfy the virtual cold energy demand 50B based on the forecast information 50S and switchover schedule 51S for the specified operating day. Based on the estimated energy costs, it is possible to calculate, for example, the expected annual reduction in energy costs if electric chillers are added, as well as the payback period for electric chillers, and evaluate whether there are any benefits for the customer. This allows for an objective evaluation of the effectiveness of further energy efficiency improvements through the addition of electric chillers, utilizing the forecast results for cooling demand.

[0222] In this embodiment, the driver assistance application program 100 further causes the computer 10 to perform the following actions: generate forecast information 50S for a specified operating day using the updated model 71; plan a switchover schedule 51S for the specified operating day based on the forecast information 50S for the specified operating day; estimate the amount of heat supplied by the second heat source device 22 55A1 necessary to satisfy the virtual heat demand 50A, and the amount of cold supplied by the third heat source device 23 55B1 necessary to satisfy the virtual cold demand 50B, based on the forecast information 50S and the switchover schedule 51S for the specified operating day; and generate a message 85 recommending the addition of a heat pump chiller if both the estimated amount of heat supplied 55A1 and the amount of cold supplied 55B1 are greater than or equal to the heat supply capacity of the heat pump chiller. In this configuration, the amount of heat supplied by the second heat source device 22 to satisfy the virtual heat demand 50A, and the amount of cold energy supplied by the third heat source device 23 to satisfy the virtual cold energy demand 50B are estimated from the forecast information 50S for the specified operating day and the switching schedule 51S. If both the estimated amount of heat supplied 55A1 and the amount of cold energy supplied 55B1 are greater than or equal to the heat supply capacity of the heat pump chiller, a message 85 recommending the addition of a heat pump chiller is generated. If both the estimated amount of heat supplied 55A1 and the amount of cold energy supplied 55B1 are greater than or equal to the heat supply capacity of the heat pump chiller, it means that the virtual heat demand 50A and the virtual cold energy demand 50B are more than twice the heat supply capacity of the heat pump chiller. In this case, adding a heat pump chiller that provides both hot and cold air to the first heat source unit 21 is more energy-efficient than using a boiler (second heat source unit 22) or a chiller (third heat source unit 23) to meet the excess heat demand. Therefore, by generating a message 85 recommending the addition of a heat pump chiller, the system can propose to the user an energy-efficient solution through the addition of a heat pump chiller.

[0223] In this embodiment, the operation support system 1 is an operation support system 1 for a simultaneous hot and cold supply facility 2 that includes a first heat source device 21 that heats the first water W1 while cooling the second water W2 using a heat pump chiller, and comprises a sensor group consisting of one or more environmental sensors 5 arranged in the simultaneous hot and cold supply facility 2, a controller 61 that controls the operation of the first heat source device 21, a communication network 8 for transmitting information, and an information processing device 6 configured to acquire environmental information detected by the sensor group and operational information generated by the controller 61 via the communication network 8, wherein the information processing device 6 includes an information storage platform 35 for storing acquired environmental information and operational information, and an information storage platform The system includes: a prediction information generation module 32 that generates prediction information 50 of virtual thermal demand 50A and virtual cooling demand 50B for each unit load time period on the day of operation using a heat demand change pattern model or a trained inference model that utilizes environmental information accumulated in the form 35; a schedule planning module 33 that plans a switching schedule 51 for the thermal output priority adjustment mode and cooling output priority adjustment mode of the first heat source device 21 on the day of operation based on the prediction information 50; and a schedule transmission module 34 that transmits the switching schedule 51 to the controller 61 and causes the first heat source device 21 to perform mode switching operation according to the switching schedule 51.

[0224] According to this configuration, the forecast information 50 is used to plan a switching schedule 51 for the heat pump chiller on the day of operation, which will either be a thermal output priority adjustment mode or a cooling output priority adjustment mode. Once the switching schedule 51 is generated, this information is transmitted to the controller 61, and the heat pump chiller is operated in the mode corresponding to the switching schedule 51. When operating in thermal output priority adjustment mode, the amount of heat supplied is harmonized with the predicted amount of heat demand, eliminating the time lag in the response of heat supply to changes in heat demand, and ensuring a perfectly stable balance of heat supply and demand. On the other hand, when operating in cooling output priority adjustment mode, the amount of cooling supply is harmonized with the predicted amount of cooling demand, eliminating the time lag in the response of cooling supply to changes in cooling demand, and ensuring a perfectly stable balance of cooling supply and demand. As a result, peak load machines can be operated without waste, and the overall energy efficiency of the system is optimized.

[0225] In one embodiment, the operation support method is an operation support method for a simultaneous hot and cold supply facility 2 including a first heat source device 21 that heats first water W1 with a heat pump chiller while cooling second water W2, and comprises: generating prediction information 50 of virtual hot energy demand 50A and virtual cold energy demand 50B for each unit load time period on the day of operation using a heat demand change pattern model or a trained inference model stored in a computer 10; planning a switching schedule 51 for the first heat source device 21 to switch between a hot energy output priority adjustment mode and a cold energy output priority adjustment mode on the day of operation based on the prediction information 50; and transmitting a hot energy output priority adjustment mode execution signal 52A or a cold energy output priority adjustment mode execution signal 52B to the first heat source device 21 via a communication network 8 according to the switching schedule 51.

[0226] According to this configuration, the forecast information 50 is used to plan a switching schedule 51 for the heat pump chiller on the day of operation, which will either be a thermal output priority adjustment mode or a cooling output priority adjustment mode. Once the switching schedule 51 is generated, this information is transmitted to the controller 61, and the heat pump chiller is operated in the mode corresponding to the switching schedule 51. When operating in thermal output priority adjustment mode, the amount of heat supplied is harmonized with the predicted amount of heat demand, eliminating the time lag in the response of heat supply to changes in heat demand, and ensuring a perfectly stable balance of heat supply and demand. On the other hand, when operating in cooling output priority adjustment mode, the amount of cooling supply is harmonized with the predicted amount of cooling demand, eliminating the time lag in the response of cooling supply to changes in cooling demand, and ensuring a perfectly stable balance of cooling supply and demand. As a result, peak load machines can be operated without waste, and the overall energy efficiency of the system is optimized.

[0227] [8] Contribution to the United Nations-led Sustainable Development Goals (SDGs) The operational support system described herein eliminates the time lag in the response of simultaneous heating and cooling equipment to changes in heat demand, thereby stabilizing the balance of heat supply and demand. As a result, it can improve the energy efficiency of business establishments, including factories, and contribute to achieving Sustainable Development Goal 7, "Affordable and Clean Energy." In addition, it can reduce carbon dioxide emissions in conjunction with improved energy efficiency, contributing to achieving Goal 13, "Take urgent action to combat climate change and its impacts." [Explanation of Symbols]

[0228] 1... Driving support system, 2... Simultaneous hot and cold water supply equipment, 3... Business office, 3A... 1st business office, 3B... 2nd business office, 3C... 3rd business office, 4... Factory, 4A... 1st factory, 4B... 2nd factory, 5... Environmental sensor, 6... Information processing device, 7... Data acquisition terminal, 8... Communication network, 10... Computer, 11... Processor, 12... Memory device, 13... Communication interface, 14... Input / output interface, 21... 1st heat source device, 22... 2nd heat source device, 23... 3rd heat source device, 24A... Hot water tank, 24B... Chilled water tank, 25A... Hot water line, 25B... Chilled water line, 25C... Water supply line 26A...First circulation line, 26B...Second circulation line, 31...Information processing module, 32...Predictive information generation module, 33...Schedule planning module, 34...Schedule transmission module, 35...Information storage platform, 36...Database, 37...Planned value generation module, 38...Planned value transmission module, 39...Update model preparation module, 40...Update model application module, 41...Heating cost estimation module, 42...Colding cost estimation module, 43...Merit evaluation module, 44...Heat supply amount estimation module, 45...Expansion evaluation module, 4 6…UI provision module, 47…User terminal, 50…Prediction information, 50A…Virtual heating demand, 50B…Virtual cooling demand, 50S…Prediction information, 51…Switching schedule, 51S…Switching schedule, 52A…Heat output priority adjustment mode execution signal, 52B…Cooling output priority adjustment mode execution signal, 53…First planned value, 54…Second planned value, 55A…Heat supply amount, 55A1…Heat supply amount, 55B…Cooling supply amount, 55B1…Cooling supply amount, 56…History information, 61…Controller, 61A…Microcomputer, 61B…Programmable logic controller, 62…Edge Computer, 63…Gateway, 64…Guest computer, 65…Host computer, 70…Predictive model, 71…Update model, 81…First thermal energy cost, 82…Second thermal energy cost, 83…First cold energy cost, 84…Second cold energy cost, 85…Message, 100…Operation support application program, 211…Refrigerant evaporator, 212…Refrigerant condenser, 213…Refrigerant compressor, 214…Expansion valve, 215…Refrigerant circulation line, 216A…First sub-heat exchanger, 216B…Second sub-heat exchanger, 217A…First sub-circulation pump,217B...Second sub-circulation pump, 218A...First sub-circulation line, 218B...Second sub-circulation line, 221...Steam line, 222...Sub-heat exchanger, 231...Sub-heat exchanger, 232...Sub-circulation pump, 233...Sub-circulation line, 241...Water level sensor, 242...Makeup water line, 243...Water level sensor, 244...Makeup water line, 251...First distribution line, 252...First return line, 253...Water supply pump, 255...Second distribution line, 256...Second return line, 257...Water supply pump, 261...First circulation pump, 262...Second circulation pump, 301...First feedwater line HM1...Intermediate heat transfer medium, HM2...Intermediate heat transfer medium, HM3...Intermediate heat transfer medium, LE1...First load equipment, LE2...Second load equipment, t1...Time, t2...Time, t3...Time, t4...Time, W1...First water supply, W2...Second water supply.

Claims

1. A hot and cold simultaneous supply system including a first heat source device that heats the first water supply while cooling the second water supply using a heat pump chiller, and an operation support application program that operates on a computer capable of sending and receiving information via a communication network, To the aforementioned computer, Using the heat demand change pattern model or trained inference model stored in the computer, predictive information on virtual heating demand and virtual cooling demand for each unit load time period on the day of operation is generated. Based on the aforementioned forecast information, the schedule for switching between the thermal output priority adjustment mode and the cooling output priority adjustment mode of the first heat source device on the day of operation will be planned. In accordance with the aforementioned switching schedule, the following actions are performed: a thermal output priority adjustment mode execution signal or a cold output priority adjustment mode execution signal is transmitted to the first heat source device. A driver assistance application program.

2. The aforementioned simultaneous hot and cold water supply equipment further includes a second heat source device that heats the first water supply with a boiler, and a third heat source device that cools the second water supply with a chiller. To the aforementioned computer, Based on the aforementioned forecast information and the aforementioned switching schedule, a first planned value of the amount of heat supplied by the second heat source device necessary to satisfy the virtual heat demand is generated. Based on the forecast information and the switching schedule, a second planned value of the amount of cooling supplied by the third heat source device necessary to satisfy the virtual cooling demand is generated. The first planned value is transmitted to the second heat source device, and the second heat source device is made to perform heating operation according to the first planned value. The second planned value is transmitted to the third heat source device, and the third heat source device is made to perform heating operation according to the second planned value, and the latter is further made to perform The driver assistance application program according to claim 1.

3. The aforementioned simultaneous supply of hot and cold water is, A sensor group consisting of one or more environmental sensors, The system includes a controller that controls the operation of the first heat source device and the second heat source device, The computer is configured to acquire environmental information detected by the sensor group and operational information generated by the controller via the communication network, and has an information storage platform for storing the acquired environmental information and operational information. The aforementioned change pattern model or the aforementioned trained inference model is generated by utilizing the environmental information stored in the information storage platform. The driver assistance application program according to claim 2.

4. To the aforementioned computer, In accordance with the aforementioned switching schedule, while the simultaneous heating and cooling supply equipment is in operation, historical information of the actual heating demand and actual cooling demand for each unit load time period will be collected. The process involves utilizing the aforementioned historical information to prepare an updated model for the change pattern model or the pre-trained inference model, To perform the following actions: apply the update model to the change pattern model or the trained inference model that is currently in operation; The driver assistance application program according to claim 2.

5. To the aforementioned computer, Using the aforementioned update model, the aforementioned forecast information for the specified working day is generated, Based on the forecast information for the specified operating day, the switching schedule for the specified operating day is planned. Based on the forecast information for the specified operating day and the switching schedule, the amount of heat supplied by the second heat source device necessary to satisfy the virtual heat demand is estimated, and the first heat energy cost of the second heat source device is estimated based on the estimated amount of heat supplied. Based on the forecast information for the specified operating day and the switching schedule, the amount of heat supplied by the electric heat pump assumed to be added to satisfy the virtual heat demand is estimated, and the second heat energy cost of the electric heat pump is estimated based on the estimated amount of heat supplied. Based on the estimated first and second thermal energy costs, and the capital investment costs associated with the addition of the electric heat pump, the presence or absence of customer benefits will be evaluated, and this will be further carried out. The driver assistance application program according to claim 4.

6. To the aforementioned computer, Using the aforementioned update model, the aforementioned forecast information for the specified working day is generated, Based on the forecast information for the specified operating day, the switching schedule for the specified operating day is planned. Based on the forecast information for the specified operating day and the switching schedule, the amount of cooling energy supplied by the third heat source device necessary to satisfy the virtual cooling demand is estimated, and the first cooling energy cost of the third heat source device is estimated based on the estimated amount of cooling energy supplied. Based on the forecast information for the specified operating day and the switching schedule, the amount of cooling supplied by the electric chiller assumed to be added to satisfy the virtual cooling demand is estimated, and the second cooling energy cost of the electric chiller is estimated based on the estimated amount of cooling supplied. Based on the estimated first and second cooling energy costs, and the capital investment costs associated with the addition of the electric chiller, the presence or absence of customer benefits will be evaluated, and this will be carried out further. The driver assistance application program according to claim 4.

7. To the aforementioned computer, Using the aforementioned update model, the aforementioned forecast information for the specified working day is generated, Based on the forecast information for the specified operating day, the switching schedule for the specified operating day is planned. Based on the forecast information for the specified operating day and the switching schedule, estimate the amount of heat supplied by the second heat source device necessary to satisfy the virtual heat demand, and estimate the amount of cold energy supplied by the third heat source device necessary to satisfy the virtual cold energy demand. If the estimated amount of heat supplied and the amount of cold supplied both exceed the heat supply capacity of the heat pump chiller, generate a message recommending the addition of a heat pump chiller, and further perform the following: The driver assistance application program according to claim 4.

8. An operation support system for a simultaneous hot and cold supply system, which includes a first heat source device that heats the first water supply while cooling the second water supply using a heat pump chiller, A sensor group consisting of one or more environmental sensors arranged in the aforementioned simultaneous hot and cold supply equipment, A controller that controls the operation of the first heat source device, A communication network that transmits information, The system includes an information processing device configured to acquire environmental information detected by the aforementioned sensor group and operational information generated by the aforementioned controller via a communication network, The aforementioned information processing device is An information storage platform for storing the acquired environmental information and operational information, A prediction information generation module that generates prediction information for virtual heating demand and virtual cooling demand for each unit load time period on the day of operation, using a heat demand change pattern model or a trained inference model generated by utilizing the environmental information stored in the information storage platform, A schedule planning module that plans the switching schedule between the thermal output priority adjustment mode and the cooling output priority adjustment mode of the first heat source device on the day of operation, based on the aforementioned prediction information, The system includes a schedule transmission module that transmits the switching schedule to the controller and causes the controller to perform mode switching operation of the first heat source device according to the switching schedule, Driver assistance system.

9. A method for supporting the operation of a simultaneous hot and cold supply system, which includes a first heat source device that heats the first water supply while cooling the second water supply using a heat pump chiller, Using a heat demand change pattern model or a trained inference model stored in a computer, predictive information on virtual heating demand and virtual cooling demand for each unit load time period on the day of operation is generated. Based on the aforementioned forecast information, the schedule for switching between the thermal output priority adjustment mode and the cooling output priority adjustment mode of the first heat source device on the day of operation will be planned. The system includes transmitting a thermal output priority adjustment mode execution signal or a cold output priority adjustment mode execution signal to the first heat source device via a communication network, in accordance with the aforementioned switching schedule. Driving assistance methods.

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