Power management device, power management method, power management program, facility, and refrigerator

Abstract

This power management device: collects data related to power of a facility that has a freezer and a power load other than the freezer; performs prediction related to the total power consumption of the facility on the basis of the collected data; and controls the freezer on the basis of a result of the prediction. The power management device performs control such that the reduction of the peak of the total power consumption of the facility is prioritized over the reduction of the peak of the power consumption of the freezer.

Description

[Technical Field]

[0001] The present disclosure relates to a power management device, a power management method, a power management program, a facility, and a chiller. [Background technology]

[0002] Patent Document 1 describes a cooling device that has a cold storage unit having a heat storage material, and that manually or automatically switches between cold storage operation, which cools the heat storage material, and cold storage operation stop, which cools by storing cold in the heat storage material. In this cooling device, when automatic switching is performed in response to the operation of a timer, the cold storage operation is performed during the nighttime hours when the timer is operating, and the operation of the cooling device is stopped during other hours. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-201510 Summary of the Invention

[0004] A power management device according to a first aspect includes a collection unit that collects data related to the power of a facility having chillers and power loads other than the chillers, a prediction unit that predicts the total power consumption of the facility based on the data, and a control unit that controls the chillers based on the results of the prediction. The control unit performs the control so that the peak power consumption of the facility is reduced with priority over reducing the peak power consumption of the chillers.

[0005] A power management method according to a second aspect includes the steps of collecting data on power consumption of a facility having chillers and power loads other than the chillers, predicting total power consumption of the facility based on the data, and controlling the chillers based on the results of the prediction. In the control step, the control is performed so that reduction of peak total power consumption of the facility is prioritized over reduction of peak power consumption of the chillers.

[0006] A power management program according to a third aspect causes a computer to execute the following processes: collecting data on power consumption of a facility having chillers and power loads other than the chillers, predicting total power consumption of the facility based on the data, and controlling the chillers based on the results of the prediction. In the control process, the control is performed so that reduction of peak total power consumption of the facility is prioritized over reduction of peak power consumption of the chillers.

[0007] A facility according to a fourth aspect includes a chiller and an electric load other than the chiller. The facility also includes a collection unit that collects data related to the electric power of the facility, a prediction unit that predicts the total power consumption of the facility based on the data, and a control unit that controls the chiller based on the results of the prediction. The control unit performs the control so that the peak of the total power consumption of the facility is reduced with priority over reducing the peak of the power consumption of the chiller.

[0008] A chiller according to a fifth aspect includes a collection unit that collects data related to power consumption of a facility having the chiller and a power load other than the chiller, a prediction unit that predicts total power consumption of the facility based on the data, and a control unit that controls the chiller based on the results of the prediction. The control unit performs the control so that reduction of peak power consumption of the facility is prioritized over reduction of peak power consumption of the chiller. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating a configuration of a power management system according to an embodiment. [Figure 2] FIG. 1 is a diagram illustrating an example of a facility according to an embodiment. [Figure 3] 1 is a diagram illustrating a configuration of a power management apparatus according to an embodiment. [Figure 4]FIG. 10 is a diagram showing the transition of power consumption per day when neither the chiller control device nor the power management device according to the embodiment performs peak reduction control. [Figure 5] FIG. 10 is a diagram showing the transition of power consumption per day when the refrigerator control device according to the embodiment performs peak reduction control. [Figure 6] 10 is a diagram showing the transition of power consumption per day when the power management apparatus according to the embodiment performs peak reduction control. FIG. [Figure 7] FIG. 2 is a diagram illustrating a power management method performed by a power management apparatus according to an embodiment. [Figure 8] FIG. 10 is a diagram for explaining a first modification of the power management system according to the embodiment. [Figure 9] FIG. 10 is a diagram for explaining a second modification of the power management system according to the embodiment. [Figure 10] FIG. 10 is a diagram for explaining a third modified example of the power management system according to the embodiment. [Figure 11] FIG. 10 is a diagram illustrating another modified example of the power management system according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] Conventional technologies provide closed-loop control of cooling devices (or, from another perspective, chillers), so there is room for improvement in terms of more efficient chiller control. For example, the technology has limited effectiveness in reducing the peak total power consumption of facilities equipped with chillers.

[0011] Therefore, an object of the present disclosure is to enable more efficient control of a refrigerator.

[0012] A power management system according to an embodiment will be described with reference to the drawings. In the description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

[0013] (Configuration of power management system) First, the configuration of a power management system according to an embodiment will be described with reference to Fig. 1. As shown in Fig. 1, the power management system according to the embodiment has, as equipment provided in a facility 1, a distribution board 100, a chiller 200, a chiller control device 300, a power load 400, a power generation facility 500, and a power management device 600.

[0014] Facility 1 is a facility managed by a warehouse operator and is a warehouse facility having a cold storage facility 20. Facility 1 has a power receiving point 3 connected to power grid 2, and receives power from power grid 2 via power receiving point 3. The flow of power from power grid 2 to facility 1 is also called power flow. Facility 1 may be capable of reverse power flow to power grid 2. Reverse power flow refers to the flow of power from facility 1 to power grid 2. Power grid 2 is managed by an electric power operator (electric power company, power generation operator, power transmission and distribution operator, or power retailer).

[0015] Here, the electricity fee paid by the warehouse operator to the power supplier may be determined based on the instantaneous peak power (kW) of power consumption and the amount of power consumption (kWh), which is an integrated value of the power consumption. For example, the basic portion of the electricity fee may be determined based on the instantaneous peak power (kW), and the metered portion of the electricity fee may be determined based on the amount of power consumption (kWh). Furthermore, in order to prevent a shortage of power grid 2 and stabilize power grid 2, it is desirable to reduce the instantaneous peak power (kW) and the amount of power consumption (kWh).

[0016] The distribution board 100 is a device that distributes power from the power system 2 to the chillers 200 and the power loads 400 via the power lines 10. The distribution board 100 has a sensor 101 for detecting the total power consumption of the facility 1 (i.e., the power flow to the facility 1). The distribution board 100 outputs sensor data obtained by the sensor 101 to the power management device 600.

[0017] The refrigerator 200 is a type of power load that consumes power supplied via the power line 10. The refrigerator 200 is a device that cools the interior (freezer compartment) of the cold storage warehouse 20. The refrigerator 200 has a general configuration including, for example, a compressor, a condenser, an expansion valve, and an evaporator as its components. The compressor, condenser, expansion valve, and evaporator form a refrigeration cycle. The compressor and the condenser may be provided in an outdoor unit outside the cold storage warehouse 20. The expansion valve and the evaporator may be provided in an indoor unit inside the cold storage warehouse 20. The refrigerator 200 has a sensor 201 for detecting the temperature of the components of the refrigerator 200 and / or the power consumption of the refrigerator 200. The refrigerator 200 outputs sensor data obtained by the sensor 201 to the refrigerator control device 300.

[0018] The freezer warehouse 20 is a warehouse in which goods such as frozen foods are stored. The freezer warehouse 20 has a sensor 21 and a heat storage material 22.

[0019] The sensor 21 detects the temperature inside the freezer warehouse 20 and / or whether the door of the freezer warehouse 20 is open or closed. The sensor 21 may also detect the temperature of the heat storage material 22. The sensor 21 outputs sensor data indicating the detection result to the refrigerator control device 300.

[0020] The heat storage material 22 is used to maintain a constant temperature inside the cold storage warehouse 20, and is also called a phase change material (PCM), a cold insulator, or a latent heat storage material. The heat storage material 22 has the characteristics of low thermal resistance and fast heat transfer. The heat storage material 22 also has a high specific heat and can store more cold energy than the stored goods (e.g., frozen foods). Furthermore, the temperature of the heat storage material 22 can be set, and it can store and release heat at a specific temperature commonly used in freezing and refrigeration.

[0021] The chiller control device 300 is a device that controls the chiller 200. The chiller control device 300 is connected to a communication network and may be provided outside the facility 1. The chiller control device 300 controls the chiller 200 based on sensor data from the sensor 21 and sensor data from the sensor 201. The chiller control device 300 may have a function of controlling the chiller 200 so as to reduce peaks in power consumption of the chiller 200. For example, the chiller control device 300 controls the power consumption of the chiller 200 so as to equalize (average). However, the chiller control device 300 can only perform closed control of the chiller 200 (i.e., partial optimization).

[0022] The power load 400 is a device that consumes power supplied via the power line 10. The power load 400 includes, for example, at least one of an air conditioner, a lighting device, a conveying machine, an automated device, and an office machine. The power load 400 may be controllable from the power management device 600 via a control panel. The power load 400 (or the control panel) has a sensor 401 for detecting the power consumption and / or operating state of the power load 400. The sensor 401 outputs sensor data indicating the detection result to the power management device 600.

[0023] The power generation facility 500 is a device that generates power. The power generation facility 500 outputs the generated power to the chiller 200 and the power load 400 via the power line 10. The power generation facility 500 may be, for example, a solar power generation facility, a fuel cell facility, a wind power generation facility, a geothermal power generation facility, and / or a biomass power generation facility. In the following, an example in which the power generation facility 500 is a solar power generation facility will be mainly described. The power generation facility 500 has a sensor 501 for detecting the generated power of the power generation facility 500 and / or the operating state of the power generation facility 500. The sensor 501 outputs sensor data indicating the detection result to the power management device 600.

[0024] The power management device 600 is a device that manages power in the facility 1. The power management device 600 is connected to a communication network and may be installed outside the facility 1. The power management device 600 collects various data, including sensor data, from each piece of equipment (distribution board 100, chiller control device 300, power load 400, and power generation equipment 500) installed in the facility 1, predicts the total power consumption of the facility 1 based on the collected data, and controls each piece of equipment (particularly the chiller 200) based on the prediction results. A specific example of such prediction will be described later. Here, the power management device 600 collects sensor data about the cold storage warehouse 20 and the chiller 200 from the chiller control device 300. The power management device 600 also controls the chiller 200 via the chiller control device 300.

[0025] In this way, the power management device 600 takes into consideration the overall status of each piece of equipment in the facility 1 (for example, the power usage status of the power load 400 and the power generation status of the power generation equipment 500), thereby making it possible to achieve overall optimization of the facility 1 rather than partial optimization limited to the chiller 200. Specifically, the power management device 600 controls the total power consumption of the facility 1 to be uniform (averaged). In the embodiment, the power management device 600 controls the chiller 200 so that the peak of the total power consumption of the facility 1 is reduced, prioritizing the reduction of the peak power consumption of the chiller 200.

[0026] (Example of facility) Next, an example of a facility 1 according to an embodiment will be described with reference to FIG. 2. In the example of FIG. 2, facility 1 is a three-temperature zone warehouse facility, and has one freezer warehouse 20, one refrigerated warehouse 30, and two room-temperature warehouses 40 (40a, 40b). Facility 1 may further have an office / cafeteria 50. However, facility 1 is not limited to such a three-temperature zone warehouse facility, and may be, for example, "only a freezer warehouse and a refrigerated warehouse," "only a freezer warehouse," "a freezer warehouse within a food factory," "a food processing factory within the facilities of a logistics warehouse (including a freezer warehouse)," or "a walk-in freezer installed in a grocery store or a large cafeteria."

[0027] The inside of the freezer warehouse 20 is cooled by a freezer 200a. A heat storage material 22 is arranged in the freezer warehouse 20. A freezer control device 300 controls the freezer 200a while managing the cold stored in the heat storage material 22.

[0028] The interior of the refrigerated warehouse 30 is cooled by the refrigerator 200b. Although an example is shown in which the heat storage material 22 is not provided in the refrigerated warehouse 30, a heat storage material may also be provided in the refrigerated warehouse 30. The power management device 600 may control the refrigerator 200b in addition to or instead of the refrigerator 200a.

[0029] The temperature inside the room-temperature warehouse 40 (40a, 40b) is controlled by air conditioners 410 (410a, 410b). The air conditioners 410 (410a, 410b) are an example of a power load 400 other than the freezer 200. The air conditioners 410 (410a, 410b) may be controlled by a power management device 600.

[0030] The temperature inside the office / dining room 50 is controlled by an air conditioner 410c. The air conditioner 410c is an example of a power load 400 other than the refrigerator 200. The air conditioner 410c may be controlled by the power management device 600.

[0031] Lighting equipment 420 is provided in each of the freezer warehouse 20, the refrigerated warehouse 30, the room-temperature warehouse 40 (40a, 40b), and the office / cafeteria 50. Furthermore, conveying machines / automated devices 430 (430a to 430d) and the like are provided in each of the freezer warehouse 20, the refrigerated warehouse 30, and the room-temperature warehouse 40 (40a, 40b). Furthermore, office / cafeteria 50 is provided with office equipment 450 and the like. The lighting equipment 420, the conveying machines / automated devices 430 (430a to 430d), and the office equipment 450 are examples of power loads 400 other than the freezers 200.

[0032] As described above, the facility 1 is provided with various power loads 400 in addition to the chillers 200. Therefore, simply reducing the peak power consumption of the chillers 200 has a limited effect on reducing the peak power consumption of the total power consumption of the facility 1. In the embodiment, the power management device 600 controls the chillers 200 (and the power loads 400) so as to reduce the peak power consumption of the total power consumption of the facility 1.

[0033] (Power Management Device Configuration) Next, the configuration of a power management apparatus 600 according to an embodiment will be described with reference to Fig. 3. As shown in Fig. 3, the power management apparatus 600 includes a communication unit 610, a management unit 620, and a processing unit 630. The communication unit 610, the management unit 620, and the processing unit 630 are connected by a bus 601.

[0034] The communication unit 610 performs communication under the control of the processing unit 630. The communication unit 610 may have a transmitter for transmitting data and a receiver for receiving data. For example, the communication unit 610 receives sensor data from each piece of equipment (the distribution board 100, the chiller control device 300, the power load 400, and the power generation equipment 500) installed in the facility 1. The communication unit 610 may receive auxiliary data used in the prediction process from an external server. The communication unit 610 transmits a message to the equipment for controlling the equipment installed in the facility 1. The message may be a control message for controlling the operation of the equipment. Alternatively, the message may be an inquiry message for inquiring about the status of the equipment. For example, the communication unit 610 transmits a control message for controlling the chiller 200 to the chiller control device 300.

[0035] The management unit 620 includes a storage unit 621 that stores sensor data and manages the sensor data. The storage unit 621 may be configured with various types of memory, such as a read-only memory (ROM), a random access memory (RAM), and an auxiliary storage device. The storage unit 621 also stores programs executed by the processing unit 630.

[0036] The processing unit 630 includes at least one processor and executes a program stored in the storage unit 621. The at least one processor may be configured as a single integrated circuit (IC), or may be configured as multiple circuits (integrated circuits and / or discrete circuits, etc.) connected to each other in a communicative manner. The processing unit 630 executes the program stored in the storage unit 621 to provide the functions of the collection unit 631, the prediction unit 632, and the control unit 633.

[0037] The collection unit 631 collects sensor data related to the power of the facility 1 that has the chillers 200 and the power loads 400 other than the chillers 200. Specifically, the collection unit 631 collects the sensor data by communicating with each piece of equipment via the communication unit 610. The collection unit 631 may collect auxiliary data to be used in the prediction process from an external server via the communication unit 610. The collection unit 631 stores the collected data in the storage unit 621.

[0038] The prediction unit 632 makes a prediction regarding the total power consumption of the facility 1 based on the data collected by the collection unit 631. The prediction unit 632 may make a prediction using machine learning (for example, knowledge-based, statistical-based, or neural network-based) such as reinforcement learning. For example, the prediction unit 632 performs machine learning using the sensor data (and auxiliary information) and the actual total power consumption of the facility 1 as learning data, constructs a trained model for predicting (inferring) the future total power consumption of the facility 1, and predicts the future total power consumption of the facility 1 using the trained model. The trained model includes an algorithm constructed by machine learning and / or a parameter set of a neural network.

[0039] The control unit 633 controls the chiller 200 (and the power load 400) based on the result of the prediction by the prediction unit 632. Specifically, the control unit 633 creates a power plan including an operation plan for the chiller 200 (and the power load 400) from the result of the prediction by the prediction unit 632, and controls the chiller 200 (and the power load 400) using the created plan. Specifically, the control unit 633 uses the plan to generate a message for controlling the chiller 200 (and the power load 400), and transmits the message via the communication unit 610. The control unit 633 may create a power plan for a certain day on the previous day, and modify the power plan as appropriate depending on the situation on that day.

[0040] For example, the prediction unit 632 predicts a facility peak time period, which is a time period including a peak in the total power consumption of the facility 1, based on the data collected by the collection unit 631. The time period may be a time unit of a fixed time length. Alternatively, the time period may be a time unit of a variable time length, but hereinafter, the time period is assumed to be a time unit of a variable time length. The control unit 633 creates an operation plan for the chiller 200 so that the peak power consumption of the chiller 200 occurs in a predetermined time period before the predicted facility peak time period. In other words, the control unit 633 cools the heat storage material 22 by the chiller 200 in a predetermined time period before the predicted facility peak time period. This allows sufficient cold energy to be stored in the heat storage material 22 of the cold storage warehouse 20 in the predetermined time period before the facility peak time period.

[0041] Furthermore, the control unit 633 creates an operation plan for the chiller 200 so as to perform operation suppression that suppresses operation of the chiller 200 during the predicted facility peak time period. The suppression operation of the chiller 200 may be an operation that maintains the temperature inside the freezer warehouse 20 by using the cold stored in the heat storage material 22. For example, the suppression operation of the chiller 200 may be an operation that stops the operation of the chiller 200. Alternatively, the suppression operation of the chiller 200 may be an operation that intermittently operates the chiller 200. The suppression operation of the chiller 200 may be an operation that operates the chiller 200 only when the temperature of the heat storage material 22 and / or the temperature inside the freezer warehouse 20 is below a threshold value.

[0042] By such control, reduction of the peak of total power consumption of the facility 1 is prioritized over reduction of the peak of power consumption of the refrigerator 200, and it becomes possible to control the refrigerator 200 more efficiently.

[0043] (Power management system operation) Next, an example of the operation of the power management system according to the embodiment will be described with reference to FIGS.

[0044] Fig. 4 shows the change in power consumption per day when neither the chiller control device 300 nor the power management device 600 performs peak reduction control. In the example of Fig. 4, the proportion of power consumption by the chiller 200 out of the total power consumption of the facility 1 is, for example, about 40%. It should be noted that this proportion is merely an example.

[0045] The power consumption of the chiller 200 increases in response to an increase in the outside temperature and operations of the facility 1 (for example, opening and closing doors for loading and unloading, heat from the inventory brought in, and heat emitted by people and forklifts). In the example of FIG. 4, the power consumption of the chiller 200 begins to increase early in the morning (6:00 AM), and peaks at 2:00 PM. The peak value of the power consumption of the chiller 200 is about 300 kW. After that, the high power consumption of the chiller 200 continues until 6:00 PM, and the power consumption of the chiller 200 decreases from 6:00 PM.

[0046] The total power consumption of facility 1 is the sum of the power consumption of chiller 200 and the power consumption of power load 400. The total power consumption of facility 1 changes according to the change in the power consumption of chiller 200, and peaks at 2:00 PM. The peak value of total power consumption of facility 1 is approximately 700 kW. After that, the total power consumption of facility 1 remains high until 6:00 PM, and then decreases from 6:00 PM. Here, the period from 1:00 PM to 6:00 PM, during which the total power consumption of facility 1 peaks and remains high, is defined as the facility peak time period.

[0047] Fig. 5 shows the transition of power consumption per day when the chiller control device 300 performs peak reduction control. In this case, the chiller control device 300 controls the chiller 200 to reduce the peak power consumption of the chiller 200, and the power consumption of the chiller 200 is equalized (averaged). As a result, the peak of total power consumption of the facility 1 is also reduced. In the example of Fig. 5, the peak value of total power consumption of the facility 1 is about 600 kW, which is reduced by about 100 kW compared to Fig. 4. However, the chiller control device 300 can only perform peak reduction control closed to the chiller 200, and the effect of reducing the peak of total power consumption of the facility 1 is limited.

[0048] 6 shows the change in power consumption per day when the power management device 600 performs peak reduction control. The power management device 600 controls the chillers 200 so that the peak of total power consumption of the facility 1 is reduced, with priority given to reducing the peak of power consumption of the chillers 200.

[0049] Specifically, the power management device 600 predicts the facility peak time period (1:00 PM to 6:00 PM) and controls the power consumption of the chiller 200 so that its peak occurs in a predetermined time period before the facility peak time period. In the example of Fig. 6, the power management device 600 controls the power consumption of the chiller 200 so that a first peak occurs in a time period including 12:00 PM, and so that a second peak occurs in a time period including 6:00 AM. This makes it possible to keep a sufficient amount of cold energy stored in the heat storage material 22 when the facility peak time period begins.

[0050] The power management device 600 controls the operation of the refrigerator 200 to be suppressed during facility peak hours (1:00 PM to 6:00 PM). Here, the power management device 600 reduces the power consumption of the refrigerator 200 while maintaining the temperature inside the cold storage warehouse 20 using the cold stored in the heat storage material 22. Therefore, the power consumption of the refrigerator 200 is significantly reduced during facility peak hours. As a result, the peak total power consumption of the facility 1 during facility peak hours is also significantly reduced. In the example of FIG. 6, the peak value of the total power consumption of the facility 1 is about 530 kW, which is a reduction of about 170 kW compared to FIG. 4.

[0051] 6, the power management device 600 controls the chiller 200 so as to reduce the peak of the total power consumption of the facility 1. This makes it possible to further reduce the peak value of the total power consumption of the facility 1 compared to when the chiller control device 300 controls the chiller 200 so as to reduce the peak of the power consumption of the chiller 200 (see FIG. 5).

[0052] 6, the power management device 600 determines a time period including 6:00 and a time period including 12:00 as predetermined time periods, and controls the refrigerator 200 so that peak power consumption occurs during the determined predetermined time periods. Specifically, the power management device 600 causes the refrigerator 200 to cool the heat storage material 22 during the determined predetermined time period, and stores cold energy in the heat storage material 22. As a method for determining such predetermined time periods, one method or a combination of two or more methods from the following (a) to (e) can be used.

[0053] (a) Methods based on ambient temperature and / or humidity The prediction unit 632 of the power management apparatus 600 predicts the outdoor temperature and / or humidity for each time period. For example, the prediction unit 632 of the power management apparatus 600 predicts the outdoor temperature and / or humidity in one-hour increments. Methods for predicting the outdoor temperature and / or humidity include a learning-based method and a method based on weather forecast data from an external server. The control unit 633 of the power management apparatus 600 controls the power consumption of the chiller 200 so that a peak occurs in a predetermined time period when the predicted outdoor temperature and / or humidity meets a predetermined standard.

[0054] Generally, the lower the outdoor temperature and / or humidity, the higher the efficiency of the chiller 200. In other words, if the chiller 200 is operated when the outdoor temperature and / or humidity is low, a high cooling effect can be obtained with less power consumption. For example, the control unit 633 of the power management device 600 determines, as the predetermined time period, a time period before the predicted facility peak time period when the predicted outdoor temperature and / or humidity is lowest, or a time period when the predicted outdoor temperature and / or humidity is lower than a threshold value. This allows the power consumption of the chiller 200 to be reduced efficiently.

[0055] (b) Method based on generated power The prediction unit 632 of the power management apparatus 600 predicts the power generation of the power generation facility 500 for each time period. For example, the prediction unit 632 of the power management apparatus 600 predicts the power generation (kWh) in one-hour increments. When the power generation facility 500 is a solar power generation facility, for example, a method based on learning or a method based on weather forecast data from an external server can be used to predict the power generation. The control unit 633 of the power management apparatus 600 controls the chiller 200 so that its peak power consumption occurs during a predetermined time period when the predicted power generation meets a predetermined standard.

[0056] For example, the control unit 633 of the power management apparatus 600 determines, as the predetermined time period, a time period before the predicted facility peak time period when the predicted power generation is greatest or when the predicted power generation is greater than a threshold value. This allows the power generated by the power generation facility 500 to be used effectively.

[0057] (c) Carbon dioxide emission factor-based method The prediction unit 632 of the power management device 600 predicts the carbon dioxide emission coefficient for each time period. The carbon dioxide emission coefficient represents the amount of carbon dioxide emitted when generating 1 kWh of electricity. As renewable energy becomes more widespread, it is expected that the amount of carbon dioxide emissions will change depending on the time period. Methods for predicting the carbon dioxide emission coefficient include a learning-based method and a method based on data from an external server. The control unit 633 of the power management device 600 controls the chiller 200 so that its peak power consumption occurs during a specified time period when the predicted carbon dioxide emission coefficient meets a specified standard.

[0058] For example, the control unit 633 of the power management apparatus 600 determines, as the predetermined time period, a time period before the predicted peak time period for the facility, when the predicted carbon dioxide emission coefficient is the smallest, or when the predicted carbon dioxide emission coefficient is smaller than a threshold value. This can contribute to suppressing an increase in carbon dioxide emissions.

[0059] (d) Method based on wholesale electricity prices The prediction unit 632 of the power management device 600 predicts the wholesale electricity price by time period. The wholesale electricity price is a trading price in the electricity market and fluctuates depending on the balance between supply and demand of electricity. Methods for predicting the wholesale electricity price include a learning-based method and a method based on data from an external server. The control unit 633 of the power management device 600 controls the chiller 200 so that its peak power consumption occurs during a predetermined time period when the wholesale electricity price meets a predetermined standard.

[0060] For example, the control unit 633 of the power management device 600 determines, as the predetermined time period, a time period before the predicted peak time period for the facility, when the predicted wholesale electricity price is lowest or when the predicted wholesale electricity price is lower than a threshold value. This allows the chiller 200 to consume electricity efficiently during a time period when the amount of electricity supplied is high. Furthermore, if the wholesale electricity price is linked to the electricity rate for the facility 1, the cooling cost of the chiller 200 can be reduced.

[0061] (e) Method based on the heat load of a cold storage facility The prediction unit 632 of the power management device 600 predicts the heat load of the freezer warehouse 20 by time period. The heat load of the freezer warehouse 20 refers to the amount of heat required to maintain the temperature inside the freezer warehouse 20 at a constant temperature (and a constant humidity), and can be expressed in units of the amount of heat required per hour (kcal / h), for example. For example, the time period when the door of the freezer warehouse 20 is open corresponds to the time period when the heat load of the freezer warehouse 20 is high. Methods that can be used to predict the heat load of the freezer warehouse 20 include a learning-based method and a method based on data from an external server.

[0062] The control unit 633 of the power management device 600 controls the power consumption of the refrigerator 200 so that a peak occurs in a predetermined time period when the predicted heat load of the freezer warehouse 20 satisfies a predetermined standard. For example, the control unit 633 of the power management device 600 determines, as the predetermined time period, a time period before the predicted facility peak time period when the predicted heat load of the freezer warehouse 20 is the lowest or a time period when the predicted heat load of the freezer warehouse 20 is lower than a threshold value. This makes it possible to efficiently reduce the power consumption of the refrigerator 20.

[0063] (f) Method based on time-of-day electricity prices The collection unit 631 of the power management apparatus 600 acquires fixed power prices for each time period specified in the contract. The fixed power prices for each time period specified in the contract may be determined by a contract between a consumer and an electricity retailer. The control unit 633 of the power management apparatus 600 controls the chiller 200 so that peak power consumption occurs in a predetermined time period determined based on the power price.

[0064] For example, the control unit 633 of the power management device 600 determines, as the predetermined time period, a time period before the predicted peak time period for the facility, when the electricity price for each time period specified in the contract is the cheapest. This allows the chiller 200 to consume electricity efficiently during the time period when the electricity price is cheap.

[0065] (Power management method) Next, a power management method performed by the power management apparatus 600 according to the embodiment will be described with reference to FIG.

[0066] In step S1, the collection unit 631 of the power management apparatus 600 collects data related to power consumption at the facility 1. Specifically, the collection unit 631 of the power management apparatus 600 collects sensor data by communicating with each piece of equipment at the facility 1. The collection unit 631 of the power management apparatus 600 may also collect auxiliary data to be used in the prediction process from an external server.

[0067] In step S2, the prediction unit 632 of the power management device 600 makes a prediction regarding the total power consumption of the facility 1 based on the data collected in step S1. In an embodiment, the prediction unit 632 of the power management device 600 predicts a facility peak time period, which is a time period that includes the peak of the total power consumption of the facility 1, based on the data collected by the collection unit 631. The prediction unit 632 of the power management device 600 may further predict at least one of parameters for determining a predetermined time period before the predicted facility peak time period, such as the outside air temperature, the generated power, the carbon dioxide emission coefficient, the wholesale electricity price, and the heat load of the cold storage facility 20.

[0068] In step S3, the control unit 633 of the power management apparatus 600 creates an operation plan for the chiller 200 so that the peak power consumption of the chiller 200 occurs in a predetermined time period before the facility peak time period predicted in step S2. The predetermined time period is determined based on the parameters described above. The control unit 633 of the power management apparatus 600 also creates an operation plan for the chiller 200 so as to suppress operation of the chiller 200 during the facility peak time period predicted in step S2. Furthermore, the control unit 633 of the power management apparatus 600 may create an operation plan for the power load 400 so as to suppress operation of the power load 400 during the facility peak time period predicted in step S2.

[0069] In step S4, the control unit 633 of the power management device 600 controls the chiller 200 in accordance with the operation plan created in step S3.

[0070] (First example of power management system modification) Next, a first modification of the power management system according to the above embodiment will be described with reference to FIG.

[0071] As shown in Fig. 8, the power management system according to this modified example does not include the above-described chiller control device 300. Specifically, in this modified example, the functions of the above-described chiller control device 300 are provided to a power management device 600, and the power management device 600 is configured as an integral part of the chiller control device 300. In such a configuration, the power management device 600 can control the chiller 200 without going through the chiller control device 300. Alternatively, the functions of the above-described chiller control device 300 may be provided to the chiller 200, and the chiller 200 may be configured as an integral part of the chiller control device 300.

[0072] (Second modification of the power management system) Next, a second modification of the power management system according to the above embodiment will be described with reference to Fig. 9. This modification may be implemented in combination with the above first modification.

[0073] As shown in Fig. 9, in the power management system according to this modified example, a power management apparatus 600 communicates with a server apparatus 700 via a communication network 5. The server apparatus 700 is an example of an external apparatus, and is, for example, an apparatus managed by an electric power company (including an aggregator). The server apparatus 700 makes a request to the power management apparatus 600 to adjust the balance between power supply and demand. Such a request may be referred to as a DR (Demand Response) request.

[0074] The communication unit 610 of the power management device 600 receives from the server device 700 a request message requesting the suppression or promotion of power consumption in the facility 1. The request message may include information specifying a time period during which the suppression or promotion of power consumption in the facility 1 is requested. The request message may include information specifying the amount of suppression or promotion of power consumption in the facility 1.

[0075] In this modified example, the prediction unit 632 of the power management apparatus 600 may predict whether or not a reduction in power consumption in the facility 1 (so-called downward DR) will be requested by the server apparatus 700. The prediction method may be a learning-based method or a method based on data from an external server. For example, the prediction unit 632 of the power management apparatus 600 predicts a time period in which power is predicted to be tight in the area to which the facility 1 belongs as a time period in which reduction in power consumption in the facility 1 will be requested. The control unit 633 of the power management apparatus 600 controls the refrigerator 200 so that its peak power consumption occurs in a time period before the time period in which the reduction is predicted to be requested (i.e., controls the refrigerator 200 to cool the heat storage material 22). Here, the time period in which the peak power consumption of the refrigerator 200 occurs may be the predetermined time period described above.

[0076] In this modified example, the prediction unit 632 of the power management apparatus 600 may predict whether or not the server apparatus 700 will request an increase in power consumption in the facility 1 (so-called increased DR). The prediction method may be a learning-based method or a method based on data from an external server. For example, the prediction unit 632 of the power management apparatus 600 predicts a time period in which a surplus of power is predicted to occur in the area to which the facility 1 belongs as a time period in which an increase in power consumption in the facility 1 will be requested. The control unit 633 of the power management apparatus 600 controls the refrigerator 200 so that a peak in power consumption occurs in the time period in which the increase is predicted to be requested (i.e., controls the refrigerator 200 to cool the heat storage material 22).

[0077] In this modified example, the communication unit 610 of the power management device 600 may receive a request message from the server device 700 requesting promotion of power consumption in the facility 1. When the communication unit 610 receives the request message, the control unit 633 of the power management device 600 controls the refrigerator 200 so that a peak in power consumption occurs during the time period for which promotion of power consumption is requested by the request message (i.e., controls the refrigerator 200 to cool the heat storage material 22).

[0078] (Third example of power management system modification) Next, a third modified example of the power management system according to the above-described embodiment will be described with reference to Fig. 10. This modified example may be implemented in combination with the above-described first modified example and / or second modified example.

[0079] As shown in FIG. 10 , in this modified example, the facility 1 has a power storage facility (storage battery) 800. The power storage facility 800 is a device that stores power. Under the control of the power management device 600, the power storage facility 800 performs a charging operation to store power supplied from the power grid 2 and / or the power generation facility 500 via the power line 10. Also, under the control of the power management device 600, the power storage facility 800 performs a discharging operation to output power to the chiller 200 and the power load 400 via the power line 10. The power storage facility 800 may have a sensor 801 for detecting the charge / discharge amount and / or remaining amount of power of the power storage facility 800. The power storage facility 800 outputs sensor data obtained by the sensor 801 to the power management device 600.

[0080] In this modified example, when it is not possible to control the chiller 200, for example, when the chiller control device 300 or the chiller 200 notifies the power management device 600 that control is not possible, the control unit 633 of the power management device 600 may perform peak reduction control using the power storage equipment 800. In other words, when the facility 1 has the power storage equipment 800 and it is not possible to control the chiller 200, the control unit 633 of the power management device 600 controls the power storage equipment 800 so that the peak of the total power consumption of the facility 1 is reduced.

[0081] As described above, the prediction unit 632 of the power management device 600 predicts a facility peak time period, which is a time period including the peak of total power consumption of the facility 1, based on the data collected by the collection unit 631. The control unit 633 of the power management device 600 creates an operation plan for the chiller 200 so that the peak of power consumption of the chiller 200 occurs in a predetermined time period before the predicted facility peak time period. In other words, the control unit 633 cools the heat storage material 22 by the chiller 200 in a predetermined time period before the predicted facility peak time period.

[0082] However, it is also conceivable that the chiller 200 cannot be controlled for some reason, for example, because the chiller control device 300 or the chiller 200 notifies the power management device 600 that control is not possible. In such a case, the control unit 633 of the power management device 600 may control the power storage equipment 800 to perform a charging operation during the above-mentioned predetermined time period, instead of cooling the heat storage material 22 by the chiller 200. The control unit 633 of the power management device 600 may then control the power storage equipment 800 to perform a discharging operation during the facility peak time period. In this way, even when the chiller 200 cannot be controlled, the peak reduction effect can be obtained by the control of the power management device 600.

[0083] (Other embodiments) In the above embodiment, an example in which the power management device 600 uses the chiller 200 to perform peak reduction control of the total power consumption of the facility 1 has been described. However, the control unit 633 of the power management device 600 may control the chiller 200 and the power load 400 so that reduction of the total peak power consumption of the facility 1 takes priority over reduction of the peak power consumption of the chiller 200. In particular, if the facility 1 is a warehouse facility and the power load 400 includes warehouse equipment, the control unit 633 of the power management device 600 may control the chiller 200 and the warehouse equipment so that reduction of the total peak power consumption of the warehouse facility takes priority over reduction of the peak power consumption of the chiller 200. Such warehouse equipment may be specific warehouse equipment that is not used regularly but is used temporarily and consumes more power than a predetermined value when used. For example, the specific warehouse equipment available for peak reduction control may be a pallet washer and / or a forklift charger. The pallet washer is equipment that washes pallets used in the warehouse facility. The forklift charger is equipment that charges forklifts used in the warehouse facility.

[0084] For example, the prediction unit 632 of the power management apparatus 600 predicts a facility peak time period, which is a time period including the peak of total power consumption of facility 1, based on the data collected by the collection unit 631. The control unit 633 of the power management apparatus 600 creates an operation plan for a specific warehouse equipment so that the peak of power consumption of the specific warehouse equipment occurs during a predetermined time period before the predicted facility peak time period. In other words, the control unit 633 of the power management apparatus 600 operates the specific warehouse equipment during a predetermined time period before the predicted facility peak time period. The control unit 633 of the power management apparatus 600 also creates an operation plan for the specific warehouse equipment so that operation suppression is performed to suppress the operation of the specific warehouse equipment during the predicted facility peak time period. The suppressed operation of the specific warehouse equipment may be stopping the operation (operation) of the specific warehouse equipment.

[0085] In the above-described embodiment, an example in which the power management device 600 is provided separately from the chiller 200 has been mainly described. However, as shown in Fig. 11 , the chiller 200 may have the functions of the power management device 600, and the power management device 600 may be configured integrally with the chiller 200. In such a modified example, the chiller 200 has the above-described communication unit 610, management unit 620, and processing unit 630. The processing unit 630 has the above-described collection unit 631, prediction unit 632, and control unit 633.

[0086] A program may be provided that causes a computer to execute the operations according to the above-described embodiments. The program may be recorded on a computer-readable medium. The computer-readable medium can be used to install the program on a computer. Here, the computer-readable medium on which the program is recorded may be a non-transitory recording medium. The non-transitory recording medium is not particularly limited. For example, it may be a recording medium such as a CD-ROM or a DVD-ROM. Furthermore, circuits that execute the operations according to the above-described embodiments may be integrated to form a semiconductor integrated circuit (chip set, SoC: System on a chip).

[0087] As used in this disclosure, the terms "based on" and "depending on" do not mean "based only on" or "depending only on," unless expressly stated otherwise. The term "based on" means both "based only on" and "based at least in part on." Similarly, the term "depending on" means both "based only on" and "at least in part on." Furthermore, "collect" and "obtain / acquire" may mean obtaining information from stored information, from information received from other nodes, or by generating information. The terms "include" and "comprise" do not mean including only the listed items, but may mean including only the listed items or including additional items in addition to the listed items. Furthermore, as used in this disclosure, the term "or" is not intended to mean an exclusive or. In this disclosure, where articles are added by translation, such as a, an, and the in English, these articles are intended to include the plural unless the context clearly indicates otherwise.

[0088] The above describes the embodiments in detail with reference to the drawings, but the specific configuration is not limited to that described above, and various design changes can be made within the scope that does not deviate from the gist of the invention.

[0089] This application claims priority from Japanese Patent Application No. 2022-84154 (filed May 23, 2022), the entire contents of which are incorporated herein by reference.

[0090] (Addendum) Additional notes will be given regarding the features of the above-described embodiment.

[0091] (Appendix 1) a collection unit that collects data related to power consumption in a facility having a chiller and an electric load other than the chiller; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the refrigerator based on a result of the prediction, The control unit performs the control so that the peak of the total power consumption of the facility is reduced with priority over the reduction of the peak of the power consumption of the refrigerator. Power management device.

[0092] (Appendix 2) The control unit controls the refrigerator and the power load so that the peak of the total power consumption of the facility is reduced with priority over the reduction of the peak of the power consumption of the refrigerator. 2. The power management apparatus of claim 1.

[0093] (Appendix 3) the facility is a warehouse facility, and the power load includes warehouse equipment; The control unit controls the refrigerator and the warehouse equipment so that a peak in total power consumption of the warehouse facility is reduced with priority over a reduction in the peak power consumption of the refrigerator. 3. The power management apparatus of claim 2.

[0094] (Appendix 4) The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The control unit performs the control so that the peak of power consumption of the refrigerator occurs in a predetermined time period before the facility peak time period. 4. A power management device according to any one of claims 1 to 3.

[0095] (Appendix 5) The control unit performs operation suppression to suppress operation of the refrigerator during the facility peak time period. 5. The power management apparatus of claim 4.

[0096] (Appendix 6) The control unit performs the control to cool the heat storage material by the refrigerator during the predetermined time period. 6. The power management device according to claim 4 or 5.

[0097] (Appendix 7) The prediction unit predicts the outside temperature and / or humidity by time period, The control unit performs the control so that a peak in power consumption of the refrigerator occurs during the predetermined time period when the outside air temperature and / or the humidity meets a predetermined standard. 7. A power management device according to any one of claims 4 to 6.

[0098] (Appendix 8) When the facility has a power generation facility, the prediction unit predicts the power generation amount of the power generation facility by time period, The control unit performs the control so that a peak in power consumption of the refrigerator occurs during the predetermined time period when the generated power satisfies a predetermined standard. 8. A power management device according to any one of claims 4 to 7.

[0099] (Appendix 9) The prediction unit predicts a carbon dioxide emission coefficient by time period, The control unit performs the control so that a peak in power consumption of the refrigerator occurs during the predetermined time period in which the carbon dioxide emission coefficient satisfies a predetermined standard. 9. A power management device according to any one of claims 4 to 8.

[0100] (Appendix 10) The prediction unit predicts wholesale electricity prices by time period, The control unit performs the control so that a peak in power consumption of the refrigerator occurs during the predetermined time period when the wholesale electricity price satisfies a predetermined standard. 10. A power management device according to any one of appendixes 4 to 9.

[0101] (Appendix 11) The prediction unit predicts a heat load by time period of the refrigerated warehouse of the facility, The control unit performs the control so that a peak in power consumption of the refrigerator occurs during the predetermined time period when the heat load satisfies a predetermined standard. 11. A power management device according to any one of claims 4 to 10.

[0102] (Appendix 12) the prediction unit predicts whether an external device will request reduction in power consumption in the facility; The control unit performs the control so that the peak of power consumption of the refrigerator occurs in a time period before the time period when the reduction is predicted to be required. 12. A power management device according to any one of claims 1 to 11.

[0103] (Appendix 13) the prediction unit predicts whether an external device will request promotion of power consumption in the facility; The control unit performs the control so that a peak in power consumption of the refrigerator occurs during a time period when the promotion is predicted to be requested. 13. A power management device according to any one of claims 1 to 12.

[0104] (Appendix 14) a communication unit that receives a request message from an external device requesting promotion of power consumption in the facility; The control unit performs the control so that a peak in power consumption of the refrigerator occurs during the time period for which the promotion is requested by the request message. 14. A power management device according to any one of claims 1 to 13.

[0105] (Appendix 15) When the facility has a power storage facility and the refrigerator cannot be controlled, the control unit controls the power storage facility so as to reduce a peak in total power consumption of the facility. 15. A power management device according to any one of claims 1 to 14.

[0106] (Appendix 16) collecting data on electricity in a facility having a chiller and an electric load other than the chiller; generating a prediction regarding the total power consumption of the facility based on the data; and controlling the refrigerator based on the result of the prediction, In the step of performing the control, the control is performed so that the reduction of the peak of the total power consumption of the facility is prioritized over the reduction of the peak of the power consumption of the refrigerator. Power management methods.

[0107] (Appendix 17) On the computer, A process of collecting data related to power consumption in a facility having a chiller and a power load other than the chiller; making a prediction regarding the total power consumption of the facility based on the data; and performing a process of controlling the refrigerator based on the result of the prediction. In the process of performing the control, the control is performed so that the reduction of the peak of the total power consumption of the facility is prioritized over the reduction of the peak of the power consumption of the refrigerator. Power management program.

[0108] (Appendix 18) A facility including a refrigerator and an electric load other than the refrigerator, a collection unit that collects data related to the power of the facility; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the refrigerator based on a result of the prediction, The control unit performs the control so that the peak of the total power consumption of the facility is reduced with priority over the reduction of the peak of the power consumption of the refrigerator. facility.

[0109] (Appendix 19) A refrigerator, a collection unit that collects data related to power in a facility that has the chiller and an electric load other than the chiller; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the refrigerator based on the result of the prediction, The control unit performs the control so that the peak of the total power consumption of the facility is reduced with priority over the reduction of the peak of the power consumption of the refrigerator. Freezer. [Explanation of symbols]

[0110] 1: Facility 2: Power system 3: Power receiving point 5: Communication network 10: Power lines 20: Refrigerated warehouse 21: Sensor 22: Heat storage material 30: Refrigerated warehouse 40: Room temperature warehouse 50: Dining room 100: Distribution board 101: Sensor 200: Refrigerator 201: Sensor 300: Refrigeration control device 400: Power load 401: Sensor 410:Air conditioner 420: Lighting equipment 430:Conveyor / Automation Equipment 450: Office equipment 500: Power generation facilities 501: Sensor 600: Power management device 601: Bus 610: Communications Department 620: Management Department 621: Storage section 630: Processing section 631: Collection Department 632: Prediction Department 633: Control unit 700: Server device 800: Energy storage facility

Claims

1. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility and the peak power consumption of the cooling device according to at least the outside air temperature based on the data; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The control unit performs the control so that the predicted peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period. Power management device.

2. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, the facility is a warehouse facility, and the power load includes warehouse equipment; The control unit controls the cooling device and the warehouse equipment so that the peak of total power consumption of the warehouse facility is reduced with priority over the reduction of the peak of power consumption of the cooling device. Power management device.

3. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; the control unit performs the control so that the peak power consumption of the cooling device occurs in a predetermined time period before the facility peak time period, The control unit performs the control to cool the heat storage material by the cooling device during the predetermined time period. Power management device.

4. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The prediction unit predicts the outside temperature and / or humidity by time period, The control unit performs the control so that a peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period and in which the outside air temperature and / or the humidity meets a predetermined standard. Power management device.

5. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The prediction unit predicts a carbon dioxide emission coefficient by time period, The control unit performs the control so that a peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period and in which the carbon dioxide emission coefficient satisfies a predetermined standard. Power management device.

6. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The prediction unit predicts a heat load by time period of the refrigerated warehouse of the facility, The control unit performs the control so that a peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period and in which the heat load satisfies a predetermined standard. Power management device.

7. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, the prediction unit predicts whether an external device will request reduction in power consumption in the facility; The control unit performs the control so that the peak of power consumption of the cooling device occurs in a time period before the time period when the suppression is predicted to be requested. Power management device.

8. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction, the prediction unit predicts whether an external device will request promotion of power consumption in the facility; The control unit performs the control so that a peak in power consumption of the cooling device occurs during a time period when the promotion is predicted to be requested. Power management device.

9. A collection unit that collects data regarding power consumption in a facility having a cooling device and a power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data; a control unit that controls the cooling device based on the result of the prediction; a communication unit that receives a request message from an external device requesting promotion of power consumption in the facility; The control unit performs the control so that a peak in power consumption of the cooling device occurs during the time period for which the promotion is requested by the request message. Power management device.

10. The control unit controls the cooling device and the power load so that the reduction of the peak power consumption of the total facility is prioritized over the reduction of the peak power consumption of the cooling device. The power management device according to any one of claims 1 and 3 to 9.

11. The control unit performs operation suppression to suppress operation of the cooling device during the facility peak time period. The power management device according to any one of claims 1 and 3 to 6.

12. When the facility has a power generation facility, the prediction unit predicts the power generation amount of the power generation facility by time period, The control unit performs the control so that a peak of power consumption of the cooling device occurs during the predetermined time period when the generated power satisfies a predetermined standard. The power management device according to any one of claims 1 and 3 to 6.

13. The prediction unit predicts wholesale electricity prices by time period, The control unit performs the control so that a peak in power consumption of the cooling device occurs during the predetermined time period when the wholesale electricity price satisfies a predetermined standard. The power management device according to any one of claims 1 and 3 to 6.

14. When the facility has a power storage facility and the cooling device cannot be controlled, the control unit controls the power storage facility so as to reduce a peak in total power consumption of the facility. The power management device according to any one of claims 1 to 9.

15. Collecting data related to power consumption at a facility having a cooling device and a power load other than the cooling device; making a prediction regarding the total power consumption of the facility based on the data and a prediction of a peak power consumption of the cooling device depending on at least an outside temperature; and controlling the cooling device based on the result of the prediction. performing the prediction includes predicting a facility peak time period, which is a time period including a peak in total power consumption of the facility, based on the data; The control includes performing the control so that the predicted peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period. Power management methods.

16. On the computer, collecting data relating to power in a facility having a cooling device and a power load other than the cooling device; a process of predicting the total power consumption of the facility based on the data and predicting the peak power consumption of the cooling device depending on at least the outside temperature; and performing a process of controlling the cooling device based on the result of the prediction. In the process of making the prediction, a facility peak time period, which is a time period including a peak of total power consumption of the facility, is predicted based on the data; In the process of performing the control, the control is performed so that the predicted peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period. Power management program.

17. A facility equipped with a cooling device and an electric load other than the cooling device, a collection unit that collects data related to the power of the facility; a prediction unit that predicts the total power consumption of the facility based on the data and predicts the peak power consumption of the cooling device according to at least the outside air temperature; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The control unit performs the control so that the predicted peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period. facility.

18. A cooling device, a collection unit that collects data related to power in a facility that has the cooling device and an electric power load other than the cooling device; a prediction unit that predicts the total power consumption of the facility based on the data and predicts the peak power consumption of the cooling device according to at least the outside air temperature; a control unit that controls the cooling device based on the result of the prediction, The prediction unit predicts a facility peak time period, which is a time period including a peak of total power consumption of the facility, based on the data; The control unit performs the control so that the predicted peak of power consumption of the cooling device occurs in a predetermined time period before the facility peak time period. Cooling device.

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