Air conditioning system control device, control program, and air conditioning system

Abstract

To disclose a control technology for air conditioning which can increase the speed of calculation processing when changing an item to be prioritized in control out of a plurality of performance indexes, in an air conditioning system having a plurality of types of heat source machines.SOLUTION: A control device for air conditioning system executes: first processing in which calculation of a performance index of each heat source machine in the case where the performance index of each heat source machine becomes optimum in the case of operating each heat source machine at specific load distribution is performed for each load distribution while gradually changing the load distribution based on characteristic data for each of a plurality of types of performance indexes; and second processing in which, in any one performance index selected out of the plurality of types of performance indexes, the load distribution of each heat source machine in which the selected performance index becomes optimum out of the performance indexes of the entire air conditioning system is extracted based on a total value of the performance index of each heat source machine calculated by the first processing, and an operation condition of each heat source machine in which the selected performance index become optimum in the extracted load distribution is specified from the calculation result of the first processing.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a control device, a control method, a control program, and an air conditioning system. [Background technology]

[0002] In recent years, computers have come to be used to control air conditioning systems (see, for example, Patent Documents 1 to 5). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2018-031536 A [Patent Document 2] JP 2018-031538 A [Patent Document 3] JP 2018-031537 A [Patent Document 4] JP 2018-031534 A [Patent Document 5] JP 2018-031535 A Summary of the Invention [Problem to be solved by the invention]

[0004] Examples of performance indexes for an air conditioning system include primary energy consumption, energy consumption cost, carbon dioxide emissions, system COP (Coefficient of Performance), etc. An air conditioning system manager selects the performance index to be prioritized for control from among multiple performance indexes, and operates the air conditioning system so that the selected performance index is at an optimal value.

[0005] Incidentally, there are various types of heat source machines used in air conditioning systems, such as turbo chillers, absorption type chillers, air-cooled heat pumps, heat storage tanks, and the like. The characteristics of each heat source machine are different. Therefore, in an air conditioning system having multiple types of heat source machines, in order to operate the air conditioning system so that a specific performance index becomes an optimal value, it is necessary to determine the load distribution of each heat source machine while taking into account the characteristics and operating conditions of each heat source machine. Therefore, in order to operate the air conditioning system so that a specific performance index becomes an optimal value, complex calculations that take into account the characteristics and operating conditions of each heat source machine are required, and it is not easy to change the performance index that is prioritized in control from among multiple performance indexes.

[0006] Therefore, this application discloses an air conditioning control technology that makes it possible to speed up calculation processing when changing the performance index that is given priority in control from among multiple performance indexes in an air conditioning system having multiple types of heat source units. [Means for solving the problem]

[0007] In order to solve the above problems, in the present invention, the performance index of each heat source unit when the performance index of each heat source unit is optimal when each heat source unit is operated with a specific load distribution is calculated for each load distribution while gradually changing the load distribution based on characteristic data for each of multiple types of performance index, and the load distribution of each heat source unit when the entire air conditioning system is optimal at one performance index is extracted based on the total value of the calculated performance index of each heat source unit.

[0008] In detail, the present invention relates to a control device for an air conditioning system having a plurality of types of heat source machines, and includes a memory unit in which characteristic data of each heat source machine is stored, and a processing unit that determines a load allocation for each heat source machine based on the data in the memory unit. The processing unit calculates the performance index of each heat source machine when the performance index of each heat source machine is optimized when each heat source machine is operated with a specific load allocation, based on the performance data of the plurality of types of heat source machines. The system executes a first process for each load allocation while gradually changing the load allocation based on characteristic data for each index, and a second process for extracting a load allocation for each heat source unit that optimizes one of the performance indexes selected from a plurality of types of performance indexes, based on the total value of the performance indexes of each heat source unit calculated by the first process, and identifying the operating conditions of each heat source unit that optimize the selected performance index in the extracted load allocation from the calculation results of the first process.

[0009] Here, the performance index quantitatively represents performance, and examples thereof include primary energy consumption, energy consumption cost, carbon dioxide emission, and coefficient of performance (COP).

[0010] In the above control device, the first process and the second process are executed to extract the load distribution of each heat source machine that optimizes the performance index and to specify the operating conditions of each heat source machine. The load distribution of each heat source machine that optimizes the performance index is simply extracted from the calculation results already obtained for all types of performance index by the first process. Therefore, even if the performance index prioritized in the control of the air conditioning system is changed, for example, the load distribution of each heat source machine that optimizes the newly selected performance index and the operating conditions of each heat source machine can be extracted and the operating conditions of each heat source machine can be specified without executing the first process again. Therefore, with the above control device, even if the performance index prioritized in the control is changed from among multiple performance indexes, the load distribution of each heat source machine that optimizes the performance index selected by the change can be extracted and the operating conditions of each heat source machine can be specified without performing complex calculations again taking into account the characteristics and operating conditions of each heat source machine.

[0011] The processing unit may perform the first process within a load distribution range in which the power consumption of the air conditioning system does not exceed an upper limit, or within a load distribution range in which the power consumption of the air conditioning system does not fall below a minimum gas consumption required for the air conditioning system. A control device equipped with such a processing unit can further reduce the load of the first process.

[0012] Furthermore, the processing unit may further execute a third process in which, when the selected performance index is changed, a load allocation of each heat source unit for which the performance index selected by the change among the performance indexes of the entire air conditioning system is optimized based on the total value of the performance indexes of each heat source unit calculated by the first process, and an operating condition of each heat source unit for which the selected performance index is optimized in the extracted load allocation is extracted from the calculation result of the first process.A control device equipped with such a processing unit can extract a load allocation of each heat source unit and an operating condition of each heat source unit for which the performance index selected by the change is optimized.

[0013] The present invention can also be understood from the aspects of a method, a program, and a system.For example, the present invention may be a control method for an air-conditioning system, in which a control device of an air-conditioning system having a plurality of types of heat source machines executes a first process in which the control device calculates the operating conditions and performance indexes of each heat source machine when the performance indexes of each heat source machine are optimized when each heat source machine is operated with a specific load allocation, for each load allocation, while gradually changing the load allocation based on the characteristic data of each heat source machine for each of the plurality of types of performance indexes, and a second process in which the load allocation of each heat source machine, in which any one performance index selected from the plurality of types of performance indexes is optimized among the performance indexes of the entire air-conditioning system, is extracted based on the total value of the performance indexes of each heat source machine calculated by the first process, and the operating conditions of each heat source machine, in which the selected performance index is optimized in the extracted load allocation, is extracted from the calculation result of the first process. Effect of the Invention

[0014] The above air conditioning system control device, control method, control program, and air conditioning system can speed up calculation processing when changing the performance index that is prioritized in control from among a plurality of performance indexes. [Brief description of the drawings]

[0015] [Figure 1] FIG. 1 is a diagram showing an example of an air conditioning system. [Diagram 2]FIG. 2 is a flowchart showing an outline of the process executed by the control device. [Diagram 3] FIG. 3 is a diagram showing the above-mentioned series of processing steps. [Figure 4] FIG. 4 is a first flowchart showing a specific example of the process executed by the control device. [Diagram 5] FIG. 5 is a second flowchart showing a specific example of the process executed by the control device 2. As shown in FIG. [Figure 6] FIG. 6 is a flowchart showing the process content of step S104. [Figure 7] FIG. 7 is a flowchart showing the process content of step S106. [Figure 8] Figure 8 is a table comparing the energy consumption costs of heat source equipment. [Figure 9] Figure 9 is a table comparing the carbon dioxide emissions of heat source equipment. [Figure 10] Figure 10 is a table comparing the primary energy consumption of heat source equipment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following describes an embodiment of the present invention. The embodiment described below is an example of the present invention, and the technical scope of the present invention is not limited to the following aspect.

[0017] FIG. 1 is a diagram showing an example of an air-conditioning system. As shown in FIG. 1, the air-conditioning system 1 includes a control device 2 and a plurality of types of heat source machines. As shown in FIG. 1, examples of the heat source machines included in the air-conditioning system 1 include a turbo chiller 3A, an absorption type chiller / heater 3B, an air-cooled (or water-cooled) heat pump 3C, and a heat storage tank 3D, but the air-conditioning system 1 is not limited to having all of these. In addition, the air-conditioning system 1 may include heat source machines other than the turbo chiller 3A, the absorption type chiller / heater 3B, the air-cooled heat pump 3C, and the heat storage tank 3D. The heat of each heat source machine in the air-conditioning system 1 is transported by liquid or air to the air-conditioning device, and is transported by air or liquid from the air-conditioning device to the room 4 to be air-conditioned.

[0018] The control device 2 is a device that controls the operation of each heat source unit and other air conditioning equipment. The control device 2 may be located either in the building in which the room 4 is located, or in a location remote from where the building is located. The control device 2 receives information from the controllers of each heat source unit and other air conditioning equipment, information from various sensors provided in the air conditioning system 1, the set temperature input via an operation panel in the room 4, information sent via a network, and various other information. Based on this information, the control device 2 determines the load distribution and operating conditions of each heat source unit.

[0019] The following describes an overview of the processing executed by the control device 2. Fig. 2 is a flowchart showing an overview of the processing executed by the control device 2. The control device 2 is a computer equipped with a storage device in which characteristic data of each heat source device is stored, a CPU (Central Processing Unit) that determines the load distribution of each heat source device based on the data in the storage device, an input / output interface, etc. The following processing is realized by the CPU executing the computer program expanded in the memory.

[0020] That is, when processing the thermal load required for the entire air conditioning system 1, the control device 2 executes a first process (S1 to S5) in which the operating conditions and performance indexes of each heat source unit when each heat source unit is operated with a specific load distribution are calculated for each load distribution while gradually changing the load distribution based on characteristic data for each of multiple types of performance indexes, and a second process (S6) in which the load distribution of each heat source unit for which any one performance index selected from the multiple types of performance indexes is optimal among the performance indexes of the entire air conditioning system 1 is extracted based on the total value of the performance indexes of each heat source unit calculated by the first process, and the operating conditions of each heat source unit for which the selected performance index is optimal under the extracted load distribution are extracted from the calculation results of the first process.

[0021] Here, the performance index quantitatively represents performance, and examples thereof include primary energy consumption, energy consumption cost, carbon dioxide emission, and system COP.

[0022] In the process of step S1, the control device 2 gradually assumes the load allocation of each heat source machine within a range of 0% to 100% so that the sum of the load allocations of all the heat source machines is 100% when the ratio of the load allocation of each heat source machine is expressed as a percentage. For example, if the control device 2 assumes that the load allocation of the turbo chiller 3A is 40%, the load allocation of the absorption chiller / heater 3B is 20%, and the load allocation of the air-cooled heat pump 3C is 20%, then the control device 2 assumes that the load allocation of the heat storage tank 3D is 20%. Each time the control device 2 executes the process of step S1, it changes the load allocation of each heat source machine by a predetermined rate of change (for example, 1%).

[0023] In the process of step S2, the control device 2 calculates optimal operating conditions for each heat source. The optimal operating conditions are operating conditions under which the performance index of the heat source is optimal when producing the amount of heat determined from the load distribution in step S1, and are calculated using characteristic data of each heat source unit pre-stored in the storage device of the control device 2. For example, in the case of optimal operating conditions for the centrifugal chiller 3A, the power consumption of the centrifugal chiller 3A is calculated by repeated calculations while gradually changing the values ​​of the operating conditions such as the cooling water temperature, thereby identifying the values ​​of the operating conditions under which the power consumption of the centrifugal chiller 3A, including auxiliary equipment such as a pump, is minimized.

[0024] In the process of step S3, the control device 2 calculates the values ​​of all performance indexes for each heat source. The control device 2 provides four options for performance indexes that can be prioritized in the operation of the air conditioning system 1: primary energy consumption, energy consumption cost, carbon dioxide emissions, and system COP. The manager of the air conditioning system 1 can select any one of these performance indexes. Therefore, in the process of step S3, the control device 2 calculates the values ​​of all four performance indexes, primary energy consumption, energy consumption cost, carbon dioxide emissions, and system COP, for each heat source.

[0025] In the process of step S4, the control device 2 adds up the values ​​of the performance indexes calculated in step S3, and calculates the total value of the performance indexes of all the heat source units for each of the four performance indexes.

[0026] In the process of step S5, the control device 2 judges whether or not a series of calculation processes from step S1 to step S4 has been completed for all combinations of all load distributions. For example, in step S1, in a case where the load distribution of four types of heat source machines is changed by 1%, a positive judgment is made in the process of step S5 when a series of calculation processes from step S1 to step S4 has been performed for all 1 million combination patterns.

[0027] In the process of step S6, the control device 2 compares the total values ​​of the performance indexes for each combination of load distribution calculated in the process of step S4, and extracts a load distribution for each heat source unit that optimizes any of the performance indexes selected by the manager of the air conditioning system 1 from the performance indexes of the entire air conditioning system 1. The control device 2 also extracts optimal operating conditions for the extracted load distribution from the calculation results of step S2. Then, the control device 2 sends control signals to the controllers of each heat source unit and other equipment of the air conditioning system 1 so that the heat source units and other equipment of the air conditioning system 1 operate according to the load distribution and optimal operating conditions extracted in the process of step S6.

[0028] The outline of the processing executed by the control device 2 has been described above. FIG. 3 is a diagram showing the above series of processing contents in an image. When processing the thermal load (heat source required load) required for the entire air conditioning system 1, the control device 2 uses a method (rule engine) for determining optimal operating conditions realized by the above series of processing flows, so that the performance index becomes optimal. The load distribution of each heat source machine and the operating conditions of each heat source machine can be determined. In addition, since the load distribution of each heat source machine and the operating conditions of each heat source machine that optimize the performance index extracted in step S6 are simply extracted from the calculation results already obtained for all types of performance indexes by the series of processes from step S1 to step S5, for example, when the manager of the air conditioning system 1 changes the performance index prioritized in the control of the air conditioning system 1, the load distribution of each heat source machine and the operating conditions of each heat source machine that optimize the newly selected performance index can be extracted by simply executing the process of step S6 without executing the series of processes from step S1 to step S5 again.

[0029] A specific example of the processing executed by the control device 2 will be described in detail below. Fig. 4 is a first flowchart showing a specific example of the processing executed by the control device 2. Fig. 5 is a second flowchart showing a specific example of the processing executed by the control device 2. A specific example of the processing executed by the control device 2 will be described with reference to the flowcharts of Figs. 4 and 5.

[0030] When the total amount of thermal load that needs to be processed by the entire air conditioning system 1 (required load heat amount of the entire air conditioning system 1) is input and an evaluation item is selected, the control device 2 executes a series of processes from step S101 to step S106, which corresponds to step S1 described above.

[0031] That is, the control device 2 gradually assumes the load distribution of each heat source machine within a range of 0% to 100% so that the sum of the load distribution of all heat source machines is 100% when the load distribution ratio of each heat source machine is expressed as a percentage (S101). Since this load distribution is the ratio of the load distribution of each heat source machine expressed as a percentage, it will be referred to as the load distribution ratio hereinafter. If the priority order of the heat sources is set by the administrator of the air conditioning system 1, the control device 2 corrects the assumed range of the load distribution ratio according to that order. Furthermore, if the constraint conditions for the air conditioning system 1 are set by the administrator of the air conditioning system 1, the control device 2 corrects the assumed range of the load distribution ratio so as to satisfy those conditions.

[0032] For example, if an upper limit is set on the power consumption of the entire air conditioning system 1 due to a contract between the manager of the air conditioning system 1 and the power company, and the manager of the air conditioning system 1 sets an upper limit value for power consumption (power demand value), the control device 2 makes a positive determination in the process of determining whether or not the upper limit value exists (S103).Then, the control device 2 refers to the characteristic data related to the power consumption of each heat source unit, and corrects the assumed range of the load distribution rate so that the power consumption of the entire air conditioning system 1 does not exceed the upper limit value (S104).

[0033] FIG. 6 is a flow chart showing the processing contents of step S104. In the graph of FIG. 6, the heat quantity (load distribution quantity) on the horizontal axis is expressed as a percentage of the production capacity of the heat source unit. In the processing of step S104, the control device 2 specifies the relationship between the requested load heat quantity and the power consumption for each heat source unit based on the characteristic data of each heat source unit (S104A), and corrects the upper limit value of the assumed range of the load distribution rate for each type of heat source unit so that the power consumption of the entire air conditioning system 1 does not exceed the power demand value (S104B). Since the system power consumption of the heat source unit system is a value obtained by dividing the production heat quantity by the system COP of the system, for example, if the relationship between the system COP and the production heat quantity of the heat source unit system is already prepared as the characteristic data of the heat source unit, it is possible to obtain characteristic data (graph) showing the relationship between the requested load heat quantity and the power consumption of the heat source unit by modifying the formula showing the characteristic data, making the left term (vertical axis) the power consumption and the right term (horizontal axis) the value obtained by dividing the production heat quantity by the system COP. Therefore, by using this characteristic data, the control device 2 can specify a requested load heat quantity that does not exceed the power demand value.

[0034] 4 again, the process after step S104 will be described. For example, if the manager of the air conditioning system 1 and the gas company agree to a contract, In the case where a lower limit is set for the gas consumption to be processed by the entire air conditioning system 1 and the manager of the air conditioning system 1 has set a minimum gas consumption amount, the control device 2 makes a positive determination in the process of determining whether or not the minimum gas consumption amount exists (S105).Then, the control device 2 refers to the characteristic data related to the gas consumption amount of each heat source unit, and corrects the assumed range of the load distribution rate so that the gas consumption amount of the entire air conditioning system 1 does not fall below the minimum gas consumption amount (S106).

[0035] Fig. 7 is a flow chart showing the processing content of step S106. In the graph of Fig. 7, the heat quantity (load distribution amount) on the horizontal axis is expressed as a percentage of the production capacity of the heat source unit. In the processing of step S106, the control device 2 refers to characteristic data showing the relationship between the required load heat quantity and the gas consumption amount for each heat source unit (S106A), and corrects the lower limit value of the assumed range of the load distribution rate for each type of heat source unit so as not to fall below the minimum gas consumption amount (S106B).

[0036] The process after step S105 will be described with reference to the flowchart of Fig. 4 again. After the control device 2 determines the assumed range of the load distribution ratio by the series of processes from step S101 to step S106, it executes a series of processes from step S107 to step S118 which correspond to the series of processes from step S2 to step S5 described above.

[0037] That is, the control device 2 first calculates the amount of heat production (load allocation amount) that each heat source unit should produce from the above load allocation rate (S107). For example, if the required load heat amount of the entire air conditioning system 1 is 100 kW, and the load allocation rate of the turbo chiller 3A is 30%, the load allocation rate of the absorption chiller / heater 3B is 30%, the load allocation rate of the air-cooled heat pump 3C is 20%, and the load allocation rate of the heat storage tank 3D is 20%, the control device 2 calculates the amount of heat production of the turbo chiller 3A to be 30 kW, the amount of heat production of the absorption chiller / heater 3B to be 30 kW, the amount of heat production of the air-cooled heat pump 3C to be 20 kW, and the amount of heat production of the heat storage tank 3D to be 20 kW.

[0038] Next, the control device 2 specifies the optimal operating conditions of each heat source device based on the outdoor air conditions such as temperature and relative humidity and the amount of heat produced (S108). The optimal operating conditions of each heat source device are specified as follows. For example, the turbo chiller 3A is provided with a pump for circulating chilled water and a pump for circulating cooling water. Therefore, when processing a specific required heat load, an example of an operating condition in which the total value of the power consumption of the entire heat source device system including these auxiliary devices is the smallest can be said to be the optimal operating condition. In order to specify such an optimal operating condition, the control device 2 reads out characteristic data showing the correlation between the operating state of each device and the COP specific to the device, and specifies the control target value of each device when the COP of the heat source device system is maximized. In this specification, the control device 2 infers various parameters such as chilled water temperature based on virtual indoor design conditions and virtual air conditioner design prepared in advance for calculation, and specifies the control target value based on this inference. When multiple heat source devices and auxiliary devices are prepared in parallel, the number of these devices in operation is determined based on an operation design sheet in which the number of devices in operation is defined in advance for each chilled water temperature and each cooling water temperature. The optimal operating conditions of each heat source machine may be the same as or different from the performance index selected for the optimization calculation for each heat source and the performance index selected for the calculation in a plurality of units. For example, the primary energy consumption may be selected for the optimization calculation for each heat source, and the energy cost may be selected as the performance index selected for the calculation in a plurality of units. If any one of the performance indexes selected for the optimization calculation is selected, both the optimization calculation for each heat source and the performance index selected for the calculation in a plurality of units may be set to the selected performance index, or may be set individually. Furthermore, the performance index selected for the optimization calculation may be any one of the four, the primary energy consumption, the energy consumption cost, the carbon dioxide emission, and the COP, or may be another index.

[0039] Next, the control device 2 derives the individual COP of each heat source unit from the characteristic data of each heat source unit based on the operating conditions specified in step S108 (S109). The energy consumed by each unit (heat source input energy) is calculated by dividing the amount of heat produced by the unit COP (S110). That is, the control device 2 calculates the energy consumed by each heat source unit by using the following formula (1). Heat source input energy (kW) = produced heat (kW) / unit COP (1)

[0040] Next, the control device 2 calculates the performance index of each heat source unit. That is, the control device 2 determines the type of energy (electricity or gas) consumed by each heat source unit (S111). Then, if the heat source unit consumes electricity, the control device 2 executes a process (S112) to calculate the power consumption of the heat source unit and auxiliary units, and then executes a process (S113) to calculate the performance index of the heat source unit system including the auxiliary units based on the calculated power consumption. Also, if the heat source unit consumes gas, the control device 2 executes a process (S114) to calculate the gas consumption of the heat source unit, and then executes a process (S115) to calculate the performance index of the heat source unit system based on the calculated gas consumption.

[0041] The control device 2 calculates the power consumption amount in step S112, for example, using the following formula (2). Power consumption (kWh) = Σ(heat source input energy (kW) + auxiliary power (kW)) × specified time (h) (2)

[0042] Furthermore, the control device 2 calculates the primary energy consumption amount, which is one of the performance indexes in step S113, by using, for example, the following formula (3). Primary energy consumption (MJ) = power consumption (kWh) × primary energy consumption conversion coefficient (MJ / kWh) (3) (The primary energy consumption conversion factor varies depending on the region and the electricity supplier.)

[0043] Furthermore, the control device 2 calculates the energy cost, which is one of the performance indexes in step S113, by using, for example, the following formula (4). Energy cost (yen) = power consumption (kWh) × electricity price (yen / kW) (4) (Electricity prices vary depending on the contract and time of day)

[0044] Furthermore, the control device 2 calculates the amount of carbon dioxide emissions, which is one of the performance indexes in step S113, using, for example, the following formula (5). CO2 emissions (t-CO2) = Electricity consumption (kWh) x CO2 emissions coefficient (t-CO2 / kWh) (5) (CO2 emission coefficients vary depending on the region and electricity supplier)

[0045] Furthermore, the control device 2 calculates the system COP of the heat source machine system, which is one of the performance indexes in step S113, by using, for example, the following formula (6). System COP = (amount of heat produced (kW) × given time (h)) / power consumption (kWh) (6)

[0046] Furthermore, the control device 2 calculates the gas consumption amount in step S114 using, for example, the following formula (7). Gas consumption (Nm 3 ) = Heat source input energy (kW) × specified time (h) × 3.6 (MJ / kWh) / calorific value (MJ / Nm 3 ) ···(7)

[0047] Furthermore, the control device 2 calculates the primary energy consumption amount, which is one of the performance indexes in step S115, by using, for example, the following formula (8). Primary energy consumption (MJ) = Gas consumption (Nm 3 ) x calorific value (MJ / Nm 3) ···(8) (The primary energy consumption conversion factor varies depending on the region and the electricity supplier.)

[0048] Furthermore, the control device 2 calculates the energy cost, which is one of the performance indexes in step S115, by using, for example, the following formula (9). Energy cost (yen) = gas consumption (Nm 3 ) x gas / electricity (yen / Nm 3 ) ···(9) (Gas prices vary depending on the contract)

[0049] Furthermore, the control device 2 calculates the amount of carbon dioxide emissions, which is one of the performance indexes in step S115, using, for example, the following formula (10). CO2 emissions (t-CO2) = Primary energy consumption (MJ) × CO2 emissions coefficient (t-CO2 / MJ) ···(10)

[0050] Furthermore, the control device 2 calculates the system COP of the heat source machine system, which is one of the performance indexes in step S115, by using, for example, the following formula (11). System COP = (amount of heat produced (kW) × time (h)) / (input energy (kWh) + auxiliary power (kWh)) (11)

[0051] The control device 2 repeatedly executes the series of processes from step S107 to step S115 until the calculation is completed for all types of heat source units (S116). That is, since the air conditioning system 1 is equipped with four types of heat source units, namely, the turbo chiller 3A, the absorption chiller / heater 3B, the air-cooled heat pump 3C, and the heat storage tank 3D, the control device 2 repeatedly executes the series of processes from step S107 to step S115 four times.

[0052] The control device 2 performs a series of processes from step S107 to step S115 until calculations are completed for all types of heat source units, and then adds up the performance indexes of all types of heat source units to calculate the performance index of the entire air conditioning system 1 for each combination of load distribution rates (S117). That is, the control device 2 calculates the primary energy consumption, energy consumption cost, carbon dioxide emission amount, and system COP for each combination of load distribution rates for the entire air conditioning system 1. The control device 2 performs calculation of each performance index for the entire air conditioning system 1 until it is completed for all combination patterns of load distribution rates within the assumed range (S118).

[0053] After the control device 2 has completed calculation of each performance index of the entire air conditioning system 1 for all combination patterns of load distribution rates within the assumed range, it executes a series of processes from step S119 to step S121, which corresponds to step S6 described above.

[0054] That is, the control device 2 extracts a combination of load distribution (load distribution amount) when the performance index selected by the manager of the air conditioning system 1 is the optimal value based on the calculation results of each performance index of the entire air conditioning system 1 in all combination patterns of load distribution rates within the assumed range obtained by repeating the processes from step S101 to step S118 (S119). If the performance index selected by the manager of the air conditioning system 1 is, for example, primary energy consumption, the control device 2 extracts the load distribution amount when the primary energy consumption is the smallest value. If the performance index selected by the manager of the air conditioning system 1 is, for example, the energy consumption cost, the control device 2 extracts a combination of load distribution amounts when the energy consumption cost is the smallest value. If the performance index selected by the manager of the air conditioning system 1 is, for example, the carbon dioxide emission amount, the control device 2 extracts a combination of load distribution amounts when the carbon dioxide emission is the smallest value. Furthermore, if the performance index selected by the manager of the air conditioning system 1 is, for example, the system COP, the control device 2 extracts a combination of load distribution amounts that results in the highest system COP value.

[0055] In addition, when the manager of the air conditioning system 1 changes the performance index to be prioritized in the control of the air conditioning system 1 (S120), the control device 2 extracts, from the already calculated results of each performance index of the entire air conditioning system 1, a combination of load distribution amounts for which the performance index newly selected by the manager of the air conditioning system 1 is the optimal value.

[0056] FIG. 8 is a table comparing the energy consumption costs of the heat source devices. FIG. 9 is a table comparing the carbon dioxide emissions of the heat source devices. FIG. 10 is a table comparing the primary energy consumption of the heat source devices. The values ​​shown in each table of FIG. 8 to FIG. 10 are examples, and the devices provided in the air conditioning system 1 of this embodiment are not limited to those having such capabilities. For example, when comparing the turbo chiller 3A and the absorption chiller / heater 3B, which have the same cooling capacity, if the COP is the value shown in the figure, it can be seen that the COP of the turbo chiller 3A is higher, but the energy cost of the absorption chiller / heater 3B is lower. It can also be seen that the carbon dioxide emissions and primary energy consumption of the turbo chiller 3A are lower. As described above, since each heat source device has various characteristics, in the case of a system equipped with multiple types of heat source devices such as the air conditioning system 1, the load distribution amount at which the performance index of the air conditioning system 1 is optimal changes depending on the type of performance index selected by the manager of the air conditioning system 1.

[0057] In this regard, in the air conditioning system 1, the load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the performance index are determined by the control device 2 executing the above series of processes from step S101 to step S121. The load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the performance index are simply extracted from the calculation results already obtained for all types of performance indexes by the series of processes from step S101 to step S118. Therefore, even if the manager of the air conditioning system 1 changes the performance index prioritized in the control of the air conditioning system 1, it is possible to extract the load allocation amount of each heat source machine and the operating conditions of each heat source machine that optimize the newly selected performance index by simply executing the process of step S121. Therefore, even if the one prioritized in the control is changed from among multiple performance indexes, the performance index selected by the change is optimized without having to perform complex calculations again that take into account the characteristics and operating conditions of each heat source machine. It is possible to extract the load distribution amount of each heat source machine and the operating conditions of each heat source machine that result in an optimal value.

[0058] The air conditioning system 1 of the above embodiment is not limited to the one in which the control device 2 executes all of the above series of processes from step S101 to step S121. For example, the air conditioning system 1 of the above embodiment may be one in which the control device 2 omits the processes from step S102 to step S106, or other modifications may be added. In the air conditioning system 1 of the above embodiment, the control device 2 performs calculations using relative values ​​that are the ratios of the heat production amounts of each heat source unit in the above series of processes, but the control device 2 may perform calculations using absolute values ​​that are the ratios of the heat production amounts to the heat production amounts or rated capacity of each heat source unit. In the air conditioning system 1 of the above embodiment, the control device 2 calculates the values ​​of the performance indexes for each heat source for all four performance indexes, the primary energy consumption, the energy consumption cost, the carbon dioxide emission amount, and the system COP, but the control device 2 may calculate the value of any one of these four performance indexes for each heat source. [Explanation of symbols]

[0059] 1. Air conditioning system 2. Control device 3A··Centrifugal chiller 3B Absorption type hot and cold water machine 3C··Air-cooled heat pump 3D...Thermal storage tank 4.Indoor

Claims

1. A control device for an air conditioning system having a plurality of types of heat source machines, A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored; A processing unit that determines an amount of heat to be produced by each of the heat source units using information from the storage unit; an input / output interface; When processing a thermal load required for the entire air conditioning system, the processing unit Using the inference of various parameters related to the operating conditions of each heat source device, Outputting control target values ​​of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines; The processing unit includes: Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed, A load distribution that optimizes the system COP is determined within a range of load distribution in which the power consumption of the entire air conditioning system does not exceed an upper limit value. Air conditioning system control device.

2. A control device for an air conditioning system having multiple types of heat source machines, A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored; A processing unit that determines an amount of heat to be produced by each of the heat source units using information from the storage unit; an input / output interface; When processing a thermal load required for the entire air conditioning system, the processing unit Using the inference of various parameters related to the operating conditions of each heat source device, Outputting control target values ​​of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines; The processing unit includes: Calculation of the performance index of each of the heat source machines when each of the heat source machines is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, After calculating the performance index of the entire system for each load distribution combination, Determine a load distribution that optimizes the system COP within a range of load distribution that does not fall below a minimum gas consumption required for the air conditioning system; Air conditioning system control device.

3. The processing unit includes: Based on the set temperature, outdoor air conditions, the characteristic data, the virtual indoor design conditions, and the virtual air conditioner design input from the indoor operation panel via the input / output interface, Calculating the required load heat quantity of the entire air conditioning system and the load distribution ratio of each heat source unit; Calculating the amount of heat to be produced by each heat source device according to the load distribution ratio; The control device for an air conditioning system according to claim 1 or 2.

4. The processing unit includes: After executing each of the above processes, re-execute a process of outputting control target values ​​of the various parameters that are optimal for each of the multiple types of performance indexes of each of the heat source machines. The control device for an air conditioning system according to any one of claims 1 to 3.

5. The total value of the performance indexes of each of the heat source machines has a data structure that combines at least the type of each of the heat source machines, the load distribution of each of the heat source machines, each performance index, and the value of each performance index. The control device for an air conditioning system according to any one of claims 1 to 4.

6. A computer for an air conditioning system having multiple types of heat source units, Acquire characteristic data of each heat source unit stored in a storage unit, virtual indoor design conditions of the room to be air-conditioned by the air conditioning system, virtual air conditioner designs of air conditioners provided in the air conditioning system, outdoor air conditions, and the amount of heat to be produced by each heat source unit; Inferring various parameters related to the operating conditions of each of the heat source machines, A control program for outputting control target values ​​of the various parameters when each of the heat source machines is optimal for each of a plurality of types of performance indexes, Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed, A load distribution that optimizes the system COP is determined within a range of load distribution in which the power consumption of the entire air conditioning system does not exceed an upper limit value. Air conditioning system control program.

7. A computer for an air conditioning system having multiple types of heat source machines, Acquire characteristic data of each heat source unit stored in a storage unit, virtual indoor design conditions of the room to be air-conditioned by the air conditioning system, virtual air conditioner designs of air conditioners provided in the air conditioning system, outdoor air conditions, and the amount of heat to be produced by each heat source unit; Inferring various parameters related to the operating conditions of each of the heat source machines, A control program for outputting control target values ​​of the various parameters when each of the heat source machines is optimal for each of a plurality of types of performance indexes, Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed, A load distribution that optimizes the system COP is determined within a range of load distribution that does not fall below a minimum gas consumption required for the air conditioning system. Air conditioning system control program.

8. An air conditioning system comprising: Multiple types of heat source machines, A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored; A processing unit that determines an amount of heat to be produced by each of the heat source units based on the data in the storage unit; an input / output interface; When processing a thermal load required for the entire air conditioning system, the processing unit Using the inference of various parameters related to the operating conditions of each heat source device, Outputting control target values ​​of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines; The processing unit includes: Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed, A load distribution that optimizes the system COP is determined within a range of load distribution in which the power consumption of the entire air conditioning system does not exceed an upper limit value. Air conditioning system.

9. An air conditioning system comprising: Multiple types of heat source machines, A storage unit in which characteristic data of each heat source unit, virtual indoor design conditions of a room to be air-conditioned by the air-conditioning system, and virtual air-conditioner designs of air-conditioners provided in the air-conditioning system are stored; A processing unit that determines an amount of heat to be produced by each of the heat source units based on the data in the storage unit; an input / output interface; When processing a thermal load required for the entire air conditioning system, the processing unit Using the inference of various parameters related to the operating conditions of each heat source device, Outputting control target values ​​of the various parameters when optimal for each of the multiple types of performance indexes of each of the heat source machines; The processing unit includes: Calculation of the performance index of each heat source machine when each heat source machine is operated with a specific load distribution is performed for all types of heat source machines for each of a plurality of types of performance indexes, and a process of calculating the performance index of the entire air conditioning system for each combination of load distribution is performed, Determine a load distribution that optimizes the system COP within a range of load distribution that does not fall below a minimum gas consumption required for the air conditioning system; Air conditioning system.

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