JP2007187341A - Accumulated heat using operation device, accumulated heat using operation system, accumulated heat using operation method and accumulated heat using operation program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To perform an efficient accumulated heat using operation by performing load prediction considering load factors of cooling and air conditioning in each area in a space including air conditioning equipment and cooling equipment, thereby performing further accurate load prediction. <P>SOLUTION: The accumulated heat using operation device 10 for performing accumulated heat using operation of the cooling equipment 21 and the air conditioning equipment 22 provided in a predetermined space 20 comprises a load prediction means 11 and a heat accumulation control means 13. The load prediction means 11 calculates divides the space into a plurality of areas according to the load factors of cooling and air conditioning, and calculating load prediction values of cooling and air conditioning for each area, and the heat accumulation control means 13 controls the accumulated heat using operation based on the calculated load prediction values. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a heat storage use operation device, a heat storage use operation system, a heat storage use operation method, and a heat storage use operation program.

Even in conventional heat storage use systems, it has been studied to perform a heat storage use operation based on prediction of an air conditioning load or a refrigeration load (for example, Patent Document 1, Patent Document 2, and Patent Document 3).
Japanese Patent Laid-Open No. 9-4906 JP 2002-277017 A JP 2002-349932 A

  However, in spaces where air-conditioning equipment and refrigeration equipment are mixed, such as supermarkets and convenience stores, the load depends on the area, such as the purpose of use in each area, the influence of outside air, or the influence of the operation of the installed refrigeration equipment. Are very different. If load prediction is performed without considering such a difference in load factors in the same space, an error between the predicted value and the actual load value increases. As a result, it becomes difficult to efficiently use the heat storage energy, such as excessively supplying the heat storage energy or insufficient heat storage energy.

  An object of the present invention is to perform efficient heat storage by performing load prediction in consideration of load factors of refrigeration and air conditioning in each area in a space where air conditioning equipment and refrigeration equipment are mixed. It is to perform use operation.

  A heat storage utilization operation device according to a first aspect of the present invention is a heat storage utilization operation device that performs a heat storage utilization operation of a refrigeration device and an air conditioner provided in a predetermined space, and includes a load prediction unit and a heat storage control unit. The load predicting unit divides the space into a plurality of regions according to the load factors of refrigeration and air conditioning, and calculates predicted load values of refrigeration and air conditioning for each region. The heat storage control means controls the heat storage use operation based on the predicted load value.

Here, a space with refrigeration equipment and air-conditioning equipment (hereinafter referred to as refrigeration / air-conditioning equipment) is divided into a plurality of areas according to the load factors of refrigeration and air conditioning, and load prediction is performed for each area, thereby enabling more accurate load prediction. Can be performed. As described above, according to the present invention, it is possible to predict the load of the entire space more accurately by considering the load factors of refrigeration and air conditioning for each region in the space, and it is possible to realize an efficient heat storage operation. It becomes.
Note that refrigeration equipment includes refrigeration equipment. The load factor is a load factor in each area. For example, various factors that affect the air-conditioning / cooling load in that area such as the influence of outside air radiation close to the window surface and the cold air leak around the showcase. Means a significant factor.

The heat storage utilization operation device according to the second invention is the heat storage utilization operation device according to the first invention, and further includes a power demand prediction means for predicting a power demand required for the space. The power demand prediction means includes a demand prediction unit that calculates a power demand prediction value related to the refrigeration / air conditioning equipment based on the load prediction value.
Here, it is possible to perform an effective heat storage operation by performing a power demand prediction of the space based on the predicted load value of the refrigeration / air conditioning equipment.

A heat storage utilization operation device according to a third aspect of the present invention is the heat storage utilization operation device of the first aspect, wherein the load prediction means has a region data holding unit. The area data holding unit holds data related to the area. The load predicting unit calculates a load predicted value based on the data regarding the region.
Here, the load prediction value is calculated based on the data related to the region, so that more accurate load prediction is possible.
Note that the data related to the area is information related to the area specified in advance based on, for example, the air-conditioning / cooling contribution ratio of the building structure or the showcase.

The heat storage utilization operation device according to the fourth invention is the heat storage utilization operation device according to the second invention, wherein the power demand prediction means acquires and holds past operation data of facilities other than the refrigeration / air-conditioning equipment in the space. A data acquisition unit is further included. The power demand prediction unit acquires a power demand prediction value related to the facility based on the data of the power demand data acquisition unit, and calculates a power demand prediction value for the entire space together with the power demand prediction value related to the refrigeration / air conditioning equipment.
Here, the power demand prediction means also acquires a power demand prediction value of equipment (lighting, electromagnetic cooker, defrost heater, etc.) other than the refrigeration / air conditioning equipment. As a result, the power demand of the entire space can be grasped, and more effective power demand prediction can be performed.

The heat storage utilization operation device according to the fifth aspect of the present invention is the heat storage utilization operation device of the second invention, wherein the heat storage control means has a schedule creation unit for creating a schedule of the heat storage utilization operation based on the prediction of the power demand prediction means. .
Here, by creating a schedule based on the prediction of power demand, it is possible to perform an efficient heat storage operation.

A heat storage utilization operation device according to a sixth aspect of the present invention is the heat storage utilization operation device of the first invention, wherein the heat storage control means has information relating to the COP of the refrigeration / air conditioning equipment, and performs the heat storage utilization operation based on the information of the COP. Control.
Here, it is possible to perform a heat storage utilization operation taking into consideration the coefficient of performance COP of the refrigeration / air conditioning equipment, that is, the energy consumption efficiency. Specifically, efficient heat storage use operation can be performed by preferentially using heat storage for devices with low energy consumption efficiency.

A heat storage utilization operation device according to a seventh aspect is the heat storage utilization operation device according to the first aspect, wherein the load prediction means calculates a load prediction value based on outside air information or inside air information.
Here, more accurate load prediction is possible by including outside air information and inside air information including temperature and humidity in the load prediction.

A heat storage utilization operation device according to an eighth aspect of the present invention is the heat storage utilization operation device according to the first aspect, wherein the load prediction means includes a load variation calculation unit and a load correction unit. The load fluctuation calculation unit calculates a load fluctuation due to control of the refrigeration / air conditioning equipment. The load correction unit corrects the predicted load value based on the calculated load fluctuation.
Here, it is possible to calculate a more accurate predicted load value by calculating a load fluctuation amount due to operation control in each device and correcting the predicted load value by the load fluctuation amount.

The heat storage utilization operation device according to the ninth invention is the heat storage utilization operation device according to the eighth invention, wherein the control of the refrigeration / air conditioning equipment is at least one of heat recovery operation, defrost, night temperature change, or daytime temperature change. Is one control.
Here, by specifying the control of the refrigeration equipment that causes the correction of the load prediction, more accurate load prediction becomes possible.

A heat storage utilization operating device according to a tenth aspect of the present invention is the heat storage utilization operation device of the first invention, and the heat storage control means controls so that a constant amount of heat storage for the heat storage utilization operation always remains.
Here, it is possible to control the heat storage amount not to be insufficient by leaving a certain amount of the heat storage amount.

The heat storage utilization operation system which concerns on 11th invention is equipped with the heat storage utilization operation apparatus which concerns on 1st invention, refrigeration / air-conditioning equipment, a heat storage tank, and an outdoor unit. The refrigeration / air-conditioning device is subject to heat storage use operation control by the heat storage use operation device. The heat storage tank supplies heat storage energy to the refrigeration / air-conditioning equipment based on the heat storage use operation control by the heat storage use operation device. The outdoor unit supplies heat storage energy to the refrigeration / air conditioning equipment via the heat storage tank based on the heat storage use operation control by the heat storage use operation device.
Here, since the refrigeration / air-conditioning apparatus is in the same refrigerant circuit, it is possible to perform an efficient heat storage use operation.

A heat storage utilization operating system according to a twelfth aspect of the present invention is the heat storage utilization operation system according to the eleventh aspect of the present invention, further comprising a power demand control device that controls a power demand in space. The heat storage use operation device transmits information indicating that the heat storage amount is insufficient to the power demand control device when the heat storage amount for the heat storage use operation is insufficient. The power demand control device controls the power demand based on information indicating that the heat storage amount is insufficient.
Here, when the heat storage amount is insufficient, it is possible to avoid the heat storage amount shortage by transmitting the information to the power demand control device and performing the demand control.

A heat storage utilization operating system according to a thirteenth aspect of the present invention is the heat storage utilization operation system of the eleventh aspect, wherein at least one of the refrigeration / air conditioning apparatuses has a sensor for sensing outside air or inside air. A sensor transmits the information regarding the sensed external air or internal air to the load prediction means of a heat storage utilization driving | operation apparatus.
Here, the sensor of the refrigeration / air-conditioning device can acquire information related to outside air or inside air such as temperature and humidity, and can transmit the information to the load predicting means of the heat storage operation device, thereby enabling more accurate load prediction.

A heat storage utilization operation system according to a fourteenth aspect of the present invention is the heat storage utilization operation system according to the eleventh aspect, wherein the heat storage utilization operation device further receives weather prediction information through a public network and calculates a load prediction value based on the weather prediction information. calculate.
Here, since the heat storage utilization operation device can acquire weather prediction information through the public network, more accurate load prediction is possible.

A heat storage use operation method according to a fifteenth aspect of the present invention is a heat storage use operation method for performing heat storage use operation of refrigeration equipment and air conditioning equipment provided in a predetermined space, and includes a load prediction step and a heat storage control step. In the load prediction step, the space is divided into a plurality of areas according to the load factors of refrigeration and air conditioning, and predicted load values for refrigeration and air conditioning are calculated for each area. The heat storage control step controls the heat storage use operation based on the predicted load value.
Here, by dividing the space into a plurality of regions according to the load factors of refrigeration and air conditioning, and performing load prediction for each region, it becomes possible to perform more accurate load prediction and realize efficient heat storage operation It becomes possible.

  A heat storage use operation program according to a sixteenth aspect of the invention is a heat storage use operation program for performing a heat storage use operation of a refrigeration device and an air conditioner provided in a predetermined space, and includes a first step to a tenth step. In the first step, data relating to the area of the space divided according to the load factors of refrigeration and air conditioning is acquired. In the second step, predicted load values for refrigeration and air conditioning are calculated for each region based on the data related to the region acquired in the first step. In the third step, the load fluctuation is calculated. In the fourth step, the predicted load value is corrected based on the variation. In the fifth step, the predicted power demand value of the device is calculated based on the predicted load value corrected in the fourth step. In the sixth step, a power demand prediction value related to equipment other than the equipment in the space is acquired based on data related to the equipment acquired in advance. In the seventh step, the power demand prediction values acquired in the fifth and sixth steps are added together. In the eighth step, the peak time of the power demand for the space is extracted based on the predicted power demand value added in the seventh step. In the ninth step, a schedule for heat storage utilization operation is created based on the time extracted in the eighth step. In the tenth step, control for the heat storage utilization operation is performed based on the schedule.

  Here, it is possible to perform accurate load prediction by dividing the space with refrigeration / air-conditioning equipment into multiple areas according to load factors and performing load prediction for each area and correcting the load fluctuations. Thus, it is possible to realize an efficient heat storage operation.

In the heat storage utilization operating device according to the first invention, it is possible to perform more accurate load prediction by dividing into a plurality of regions in accordance with load factors of refrigeration and air conditioning, and performing load prediction for each region, and efficient heat storage Use operation can be realized.
In the heat storage utilization operation device according to the second aspect of the invention, it is possible to perform an effective heat storage utilization operation by performing a power demand prediction of the space based on the predicted load value of the refrigeration / air conditioning equipment.

In the heat storage utilization operation device according to the third aspect of the invention, the load prediction value is calculated based on the data related to the region, so that more accurate load prediction is possible.
In the heat storage utilization operating device according to the fourth aspect of the present invention, the power demand of the entire space can be grasped, and effective power demand prediction can be performed.
In the heat storage utilization operation device according to the fifth aspect of the invention, it is possible to perform an efficient heat storage utilization operation by creating a schedule based on prediction of electric power demand.

In the heat storage utilization operation device according to the sixth aspect of the invention, since the heat storage energy is allocated taking into consideration the COP which is the energy consumption efficiency of the refrigeration / air conditioning equipment, it is possible to perform an efficient heat storage utilization operation.
In the air purification system according to the seventh aspect of the present invention, more accurate load prediction is possible by including outside air information and inside air information in the load prediction.

In the heat storage utilization operating device according to the eighth aspect of the invention, the load fluctuation due to the control in each facility is calculated, and the predicted load value is corrected by the fluctuation. Therefore, a more accurate load predicted value can be calculated.
In the heat storage utilization operating device according to the ninth aspect of the invention, more accurate load prediction is possible by specifying the control of the refrigeration / air-conditioning equipment that causes the correction of the load prediction value.

In the heat storage utilization operating device according to the tenth aspect of the invention, it is possible to perform control so that the heat storage amount does not become insufficient by leaving a certain amount of the heat storage amount.
In the heat storage utilization operation system according to the eleventh aspect of the invention, since the refrigeration / air conditioning apparatus is in the same refrigerant circuit, it is possible to perform an efficient heat accumulation utilization operation.
In the heat storage utilization operation system according to the twelfth aspect, when the heat storage amount is insufficient, it is possible to avoid the shortage of the heat storage amount by transmitting the information to the power demand control device and performing the demand control.

In the heat storage utilization operation system according to the thirteenth aspect of the invention, since the sensor of the refrigeration / air conditioning equipment can acquire information such as temperature and humidity and transmit it to the load prediction means of the heat storage utilization operation device, more accurate load prediction is possible. It becomes possible.
In the heat storage utilization operation system according to the fourteenth aspect, since the heat storage utilization operation device can acquire weather prediction information through the public network, more accurate load prediction is possible.

In the heat storage utilization operation method according to the fifteenth aspect of the present invention, it is possible to perform more accurate load prediction by dividing the space into a plurality of regions according to load factors of refrigeration and air conditioning, and performing load prediction for each region. It is possible to realize an efficient heat storage operation.
In the heat storage utilization operation program according to the sixteenth aspect of the invention, the space having the refrigeration / air-conditioning equipment is divided into a plurality of regions according to load factors, load prediction is performed for each region, and load fluctuation correction is performed. Therefore, accurate load prediction can be performed, and efficient heat storage utilization operation can be realized.

  FIG. 1 shows a heat storage utilization operation system 1 according to the present invention. In the present embodiment, it is assumed that the heat storage utilization operation system 1 is mainly used for a store 20 such as a convenience store, a supermarket, a restaurant, and a department store. It should be noted that the heat storage utilization operation system 1 is not limited to the use of a store, but may be applied to any place where there can be a space where there are a plurality of regions having different load factors of refrigeration and air conditioning, such as a facility such as a hospital or a company. Is possible.

<Schematic configuration of heat storage utilization operation system>
The heat storage use operation system 1 includes a heat storage use operation device 10 having a control unit for heat storage use operation, equipment such as a showcase 21 and an air conditioning indoor unit 22 arranged in the store 20, facilities such as lighting 23, and It has a heat storage tank 41 and an outdoor unit 51 connected by a showcase 21, an air conditioning indoor unit 22, and a refrigerant circuit. The heat storage utilization operating device 10 is further connected to the management center 60 via the public line network 70 and receives information such as weather forecast information.

Here, it is assumed that the showcase 21 includes not only a refrigeration function but also a refrigeration function. In addition, although not particularly illustrated, the store 20 may include devices (for example, an electromagnetic cooker, a defrost heater, etc.) other than the showcase 21, the air conditioning indoor unit 22, and the lighting 23.
In addition, in this embodiment, although ice heat storage is a premise, the heat storage method is not limited to this.

<Configuration of heat storage operation device>
As shown in FIG. 1, the heat storage utilization operation system 10 mainly includes a load prediction unit 11, a power demand prediction unit 12, and a heat storage control unit 13. The processing by these means is executed by a computer, and is executed by an arithmetic control device (CPU) or the like according to a predetermined program stored in a storage device in advance.
(A) Load Prediction Unit The load prediction unit 11 includes an area data holding unit 11a, an outside / inside air measurement unit 11b, a weather prediction information holding unit 11c, a load prediction unit 11d, a load variation calculation unit 11e, and a load. And a correction unit 11f.

  The area data holding unit 11a stores area data (hereinafter, area data). The area is a space obtained by dividing the space of the store 20 in advance according to a load factor. The area data is stored as an accessible database including, for example, an ID code that identifies each area and information (such as a load prediction formula described later) that identifies the load factor of the area. The outside air / inside air measuring unit 11b measures the temperature and humidity inside and outside the store 20, and acquires outside air and inside air information (hereinafter, outside air / inside air information). This measurement is performed based on information sent from the sensor 24 installed inside and outside the store 20. The weather prediction information holding unit 11c stores weather prediction information transmitted from the management center 60.

The load predicting unit 11d calculates a predicted load value for each region based on information from the region data holding unit 11a, the outside air / inside air measuring unit 11b, and the weather prediction information holding unit 11c as described later.
As will be described later, the load fluctuation component calculation unit 11e calculates a load fluctuation caused by a heat recovery operation that is a change in operation control of the refrigeration equipment. Furthermore, the load correction unit 11f receives the load prediction value from the load prediction unit 11d, and corrects the load prediction value by adding a load fluctuation (+ or-) from the prediction value. As a result, a final load prediction value is calculated.
(B) Demand prediction unit The demand prediction unit 12 includes a power measurement unit 12a, a power demand data holding unit 12b, a power demand prediction unit 12c, and a demand peak extraction unit 12d.

  The power measuring unit 12 a measures the power consumption of the lighting 23 of the store 20 transmitted from the distribution board 25 of the store 20. The power consumption of the showcase 21 and the air conditioning indoor unit 22 is obtained from the predicted load value calculated by the load prediction unit 11 as described above. Therefore, the actual value held in the power demand data holding unit 12b described below means other equipment (equipment other than refrigeration / air-conditioning equipment such as lighting, electromagnetic cooker, defrost heater, etc., hereinafter, other equipment. ) Related to power consumption.

  The power demand data holding unit 12b holds the actual value of the power demand from the amount of power consumption measured by the power measuring unit 12a. For example, in the case of the lighting 23, the power demand value is determined every day in accordance with the normal opening time, so that it can be easily predicted from past measurement results and design values. In general, an electromagnetic cooker cooks in time for meals, but cannot be predicted because it fluctuates depending on the property, person in charge, event, or the like. Therefore, the maximum value of past measurement results is used as the predicted value. The defrost heater requires the heater driving time and the amount of heat generated when selecting the showcase 21. Since these are rarely changed, the obtained value is used as a predicted value.

  The power demand prediction unit 12 c calculates the power demand prediction value of the entire store 20. The predicted power demand value includes the predicted power demand value of other equipment acquired from the power demand data holding unit 12b, and the predicted load value of the showcase 21 and the air conditioner indoor unit 22 received from the load correcting unit 11f of the load predicting unit 11. It is obtained by adding the predicted power demand value that is apparent from

The demand peak extraction unit 12d extracts the occurrence time of the peak of the power demand. In addition, in the provisions of the contract with the electric power company, if the heat storage use operation must be carried out between 13:00 and 16:00, which is the required time period for heat storage use operation, the peak should be extracted in advance excluding this time zone. Set.
(C) Heat Storage Control Unit The heat storage control unit 13 includes a COP information holding unit 13a, a heat storage amount detection unit 13b, a schedule creation unit 13c, and a heat storage operation control unit 13d.

  The COP information holding unit 13 a holds information related to COPs of the showcase 21 and the indoor air conditioner 22. For example, the COP information holding unit 13a is stored as an accessible database in which the ID code of each device is associated with the COP of the device. When the heat storage energy is allocated, the heat storage energy is allocated from a device with a small COP, that is, a device with low energy consumption efficiency. In general, the order is refrigeration equipment, refrigeration equipment, and then air conditioning equipment. By using heat storage energy preferentially according to this order, energy is effectively used.

The heat storage amount detection unit 13 b detects the heat storage amount stored in the heat storage tank 41. The schedule creation unit 13c creates a schedule for heat storage utilization operation. Specifically, a schedule according to the following conditions is created.
(A) Use the detected remaining heat storage amount during a time period when the demand peak is large. (B) Preferentially supply heat storage energy to each device from a device with a small COP. The control instruction | command of the heat storage utilization driving | operation which followed was transmitted, and the instruction | command is transmitted to the control part (illustration omitted) of the thermal storage tank 41 and the outdoor unit 51.

  In addition, when it is clear that the heat storage amount of the heat storage tank 41 is insufficient, the heat storage amount allocated to the demand peak time is set to be a certain amount (dJ) smaller. dJ is set in advance by, for example, obtaining from past measurement data. For example, if the remaining amount of heat is generated at 22:00 (the time when the store 20 is closed and the night heat storage operation starts), if dJ is reduced by 10% and the heat storage operation is insufficient, , DJ is increased by 10%. The heat storage operation control unit 13d subtracts this dJ when assigning the heat storage energy to each device.

<Other device configuration>
The heat storage tank 41 and the outdoor unit 51 form a refrigerant circuit 26 together with the showcase 21 and the air conditioning indoor unit 22. The heat storage tank 41 and the outdoor unit 51 perform a heat storage operation for supplying the heat storage energy and a heat storage operation for storing the heat energy based on the command from the heat storage operation control unit 13d. For example, heat storage operation is performed during the daytime, and heat storage operation is performed at night when the electricity bill is low and the store is closed.

<Load prediction>
Next, load factors that differ for each region of the store 20 and how the load prediction unit 11 performs prediction for each region will be described using a specific example.
As described above, the load prediction unit 11d of the load prediction unit 11 predicts the air conditioning and refrigeration loads for each region in the store 20 with reference to the information in the region data holding unit 11a. The store 20 is roughly divided into a sales floor, a kitchen, and an office. Further, at the sales floor, for example, it can be divided into a perimeter zone on the window side, an interior zone near the center, and a cold zone around the showcase. The air-conditioning load of each zone has the following characteristics, and it is expected that the accuracy of the load prediction can be improved by summing up the load predictions. Examples of the area of the store 20 include the following.
(A) Sales floor For example, load prediction is performed for each area as follows.
(A) Perimeter For example, a range of 5 meters from the window surface is set as a perimeter. Since the influence of outside air radiation from the window is strong, the air conditioning load due to radiant heat is considered in consideration of the direction of the window. The indoor and outdoor enthalpy difference is calculated from the measured value by the sensor 24 in the store 20 and the weather forecast value. The sensible heat load due to radiation is generally obtained by calculation from the amount of solar radiation.
Air conditioning load = indoor / outdoor enthalpy difference + sensible heat load due to radiation

(B) Cold zone The cold zone is 3 meters from the showcase. Since the influence of cold air leakage from the showcase is strong, the contribution of air conditioning due to cold air leakage from the showcase is considered separately from the air conditioning load due to enthalpy differences. The degree of air conditioning contribution is set in advance when designing the store.
Air conditioning load = Indoor / outdoor enthalpy difference-Showcase air conditioning contribution

(C) Interior The area other than the above is set as interior. Since the influence of outside air radiation is weak, the load is predicted only by the enthalpy difference.
Air conditioning load = indoor and outdoor enthalpy difference

(B) Cooking place Effects of ventilation, cooking appliances, water heaters, dishwashers, washing, etc. are considered. Regarding ventilation, the product of ventilation air volume and enthalpy difference is considered to increase as the air conditioning load, so this amount is added to the ventilation time. About the latent heat load increment by hot water supply, it can be assumed that it differs for each property and for each person in charge according to the actual operation, so it is difficult to predict the load. Therefore, a predetermined value is added as the latent heat load increment.
Air conditioning load = Indoor / outdoor enthalpy difference + Latent heat load due to hot water supply + Air conditioning load loss due to ventilation (C) Office Load prediction similar to the above perimeter and interior is performed.

<Correction factor of predicted load value>
Next, the load fluctuation due to the operation control of the showcase 21 and the air conditioning indoor unit 22 will be described. The predicted load value is corrected by this load fluctuation. For example, the following operation control can be considered as the correction factor.
(A) Heat recovery operation of the showcase For example, when the air conditioner performs heating, the refrigerant condensed in the heat exchanger of the air conditioner is used in the evaporation process of the showcase to cool the showcase. In such a heat recovery operation, the cooling load of the showcase is reduced. Therefore, the heating load of the air conditioner is predicted, and the cooling load reduction of the showcase due to this is calculated.
Air-conditioning cooling load: Since it is heating operation, the cooling load is zero. Therefore, it is not incorporated into the cold storage prediction.
Showcase cooling load = “(a) predicted cooling load” − “(b) load reduction by heat recovery”
(A) Cooling load prediction value The cooling load prediction value predicts the load of the showcase 21 from past operation data or the cooling capacity design value of each device, weather prediction information on the next day, and the like.
(B) Reducing load by heat recovery When the cooling capacity required by the showcase 21 is Eo cal / h, and the cooling capacity of the showcase generated by heat recovery when the air conditioner performs heating operation for one hour is Ec cal / h It becomes as follows.
(B-1) Cooling capacity by heat recovery (Ec)> Cooling load (Eo) (when heating load is large)
Since all necessary cooling capacity can be covered by heat recovery,
Showcase load reduction by heat recovery = predicted cooling load. Therefore,
Showcase cooling load = 0
It becomes.
(B-2) Cooling capacity by heat recovery (Ec) = Cooling load (Eo) (When heating load and cooling load are balanced)
Since all necessary cooling capacity can be covered by heat recovery,
Showcase load reduction by heat recovery = predicted cooling load. Therefore,
Showcase cooling load = 0
It becomes.
(B-3) Cooling capacity by heat recovery (Ec) <Cooling load (Eo) (when heating load and cooling load are small)
Since we cannot cover all the necessary cooling capacity with heat recovery,
Showcase load reduction by heat recovery = Ec × heating time. Therefore,
Showcase cooling load = cooling load predicted value−Ec × heating time.
Note that Ec and Eo are obtained in advance from design values.

(B) Defrost Since the temperature rises around the showcase during defrost, the air conditioning cooling load in summer increases and the heating load decreases in winter. The defrost knows in advance the time of appearance and the amount of heat generated for each showcase, so a predetermined value is set in advance as the cooling load fluctuation and added to the air conditioning load value and the showcase load value.
(C) Showcase night temperature change (night setback operation)
The temperature of the showcase is raised at night when the store is closed, and it is returned to the normal set temperature immediately before the store is opened. At this time, the cooling load of the showcase increases, resulting in a demand peak, which causes load fluctuation. The peak value due to the night setback is obtained in advance or measured from the design data of the showcase.
(D) Showcase daytime temperature change (demand setback operation)
Energy saving control is performed to reduce the illumination intensity of the daytime showcase and reduce the cooling load. In this case, since the execution time and the load reduction amount are obtained in advance, this value is used as the fluctuation amount.

<Operation of heat storage operation system>
Hereinafter, operation | movement of the thermal storage utilization operation system 1 is demonstrated along the flowchart shown to FIG. 2A and 2B.
First, data for each area is acquired (step S101). Specifically, the data of each area is acquired from the area data holding unit 11a.

Next, information such as the temperature and humidity inside and outside the store 20 is acquired from the outside air / inside air measuring unit 11b, and weather information is acquired from the weather prediction information holding unit 11c (step S102).
Based on the region data, outside air / inside air information, and weather prediction information, a predicted load value for each region is calculated (step S103).
The load fluctuation calculation unit 11e calculates the load fluctuation (step S104), and corrects the predicted load value by adding the load fluctuation (+ or-) to the load value obtained in step S103. (Step S105).

  Next, a power demand is predicted by the power demand prediction means 12 (step S106). Specifically, power demand data measured by the power measuring unit 12a and stored in the power demand data holding unit 12b is acquired, and the actual value and the load prediction corrected by the load correcting unit 11f of the load predicting unit 11 are obtained. Together with the power demand corresponding to the value, the power demand of the entire store 20 is predicted.

The demand peak extraction unit 12d extracts the occurrence time of the peak of power demand (step S107).
Next, COP information of the showcase 21 and the air conditioning indoor unit 22 is acquired from the COP information holding unit 13a of the heat storage control means 13 (step S108).
The heat storage amount detection unit 13b detects the heat storage amount, and within the range of the heat storage amount (however, excluding the heat amount for dJ set in advance as described above), the heat storage energy is allocated from a device with a small COP (step S109). .

Then, based on the demand peak time extracted in step S107 and the heat storage amount allocation performed in step S109, a heat storage use schedule for the showcase 21 and the air conditioning indoor unit 22 is created (step S110), and the heat storage use operation is performed according to the schedule. Is controlled (step S111).
<Characteristics of heat storage operation system>
The main characteristics of this heat storage utilization operation system 1 are as follows.

(A)
In this heat storage utilization operation system 1, since the store 20 first performs load prediction for each area divided according to the load factors of refrigeration and air conditioning, the showcase 21 that is a refrigeration device and the air conditioning indoor unit 22 that is an air conditioning device are provided. Even in a mixed space, more accurate load prediction can be performed.

(B)
In the heat storage utilization operation system 1, the load fluctuation amount calculation unit 11e calculates the load fluctuation amount generated by the operation control of the showcase 21 and the air conditioning indoor unit 22. Since the predicted load value is corrected based on the calculated load fluctuation, more accurate load prediction can be performed.
(C)
In the present heat storage utilization operation system 1, information such as temperature and humidity transmitted from the sensor 24 and measured by the outside air / inside air measuring unit 11b, and received via the public network 60 and held by the weather prediction information holding unit 11c. Perform load prediction based on weather forecast information. Therefore, more accurate load prediction can be performed.

(D)
In the present heat storage utilization operation system 1, the power demand prediction means 12 predicts the power demand of the entire store 20 from the load predicted value and the past actual value, and creates a heat storage utilization schedule based on the demand prediction. Can be operated using heat storage.
(E)
In this heat storage utilization operation system 1, since the schedule coefficient is created so as to retain the information on the coefficient of performance COP and preferentially allocate the heat storage energy to a device having a small COP, efficient heat storage utilization operation is possible.

(F)
In this heat storage utilization operation system 1, it is possible to prevent the heat storage energy from being insufficient by controlling the heat storage amount to remain a constant amount (dJ).
(G)
In the heat storage use operation system 1, the refrigeration / air conditioning devices 21 and 22, the heat storage tank 41, and the outdoor unit 51 are in the same refrigerant circuit 26, so that efficient heat storage use operation can be performed.

<Modification of Embodiment>
As shown in FIG. 3, the heat storage utilization operation system 1 can be provided with a power demand control device 31 that controls the power demand of the store 20. The heat storage operation control means 13 of the heat storage use operation device 10 transmits information indicating that the heat storage amount is insufficient (such as an insufficient heat storage amount and its time) to the power demand control device 31. For example, when the heat storage amount is insufficient during the heat storage use operation essential time zone, demand control is performed to suppress the amount of power corresponding to the insufficient heat storage amount. In this case, the store 20 performs control such as turning off the air conditioning in a place with little influence such as an office.

The heat storage utilization operation system 1 according to this modification can avoid a shortage of heat accumulation energy by performing demand control in accordance with the heat accumulation utilization operation.
The configuration of the heat storage utilization operation system 1 according to the modification of FIG. 3 is the same as that of the embodiment of FIG. 1 except that the demand control device 31 is provided, although illustration is omitted.

  Since the present invention can perform an efficient heat storage use operation by performing more accurate load prediction in consideration of load factors of refrigeration and air conditioning in each region in a predetermined space, an apparatus for using heat storage is provided. It is effective when applied.

The schematic block diagram of the heat storage utilization operation system which concerns on embodiment of this invention. The first half of the flowchart which shows operation | movement of the thermal storage utilization driving | operation system which concerns on embodiment of this invention. The latter half part of the flowchart which shows operation | movement of the thermal storage utilization driving | operation system which concerns on embodiment of this invention. The figure which shows the modification of embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Heat storage utilization driving | operation system 10 Heat storage utilization driving | operation apparatus 11 Load prediction means 11a Area | region data holding | maintenance part 11b Outside air and inside air measurement part 11c Weather prediction information holding part 11d Load prediction part 11e Load fluctuation part calculation part 11f Load correction part 12 Electric power demand prediction means 12a Power measurement unit (power demand data acquisition unit)
12b Power demand data holding unit (power demand data acquiring unit)
12c Electric power demand prediction part 12d Demand peak extraction part 13 Thermal storage control means 13a COP information holding part 13b Thermal storage amount detection part 13c Schedule creation part 13d Thermal storage operation control part 20 Store (space)
21 Showcase (refrigerated equipment)
22 Air conditioner indoor unit (air conditioner)
23 Lighting (Equipment)
24 sensor 25 distribution board 31 power demand control device 41 heat storage tank 51 outdoor unit 60 management center 70 public network

Claims (16)

A heat storage use operation device (10) for performing heat storage use operation of a refrigeration device (21) and an air conditioning device (22) provided in a predetermined space (20),
Load prediction means (11) for dividing the space (20) into a plurality of regions according to a load factor of refrigeration and air conditioning, and calculating a load prediction value of refrigeration and air conditioning for each region;
A heat storage control means (13) for controlling the heat storage use operation based on the predicted load value;
A heat storage utilization operating device. A power demand prediction means (12) for predicting a power demand required for the space (20);
The power demand prediction unit (12) includes a power demand prediction unit (12c) that calculates a power demand prediction value related to the device (21, 22) based on the load prediction value.
The heat storage utilization operation device according to claim 1. The load prediction means (11)
An area data holding unit (11a) for storing data relating to the area;
Calculating the predicted load value based on data relating to the region;
The heat storage utilization operation device according to claim 1. The power demand prediction means (12) includes a power demand data acquisition unit (12a, 12b) that acquires and holds past operation data of facilities (23) other than the devices (21, 22) in the space (20). In addition,
The power demand prediction unit (12c) acquires a power demand prediction value related to the facility (23) based on the data of the power demand data acquisition unit (12a, 12b), and power demand related to the device (21, 22). A power demand prediction value in the entire space (20) is calculated together with the prediction value,
The heat storage utilization operating device according to claim 2. The heat storage control means (13) includes a schedule creation unit (13c) that creates a schedule for the heat storage utilization operation based on the prediction of the power demand prediction means (12).
The heat storage utilization operating device according to claim 2. The heat storage control means (13) has information on the COP of the device (21, 22), and controls the heat storage use operation based on the information on the COP.
The heat storage utilization operation device according to claim 1.   The heat storage utilization operation device according to claim 1, wherein the load prediction means (11) calculates the load prediction value based on outside air information or inside air information. The load prediction means (11)
A load fluctuation calculation unit (11e) that calculates a load fluctuation by the control of the devices (21, 22);
A load correction unit (11f) that corrects the predicted load value based on the calculated fluctuation of the load;
The heat storage utilization operating device according to claim 1, comprising: The control of the device (21) is at least one control of heat recovery operation, defrost, nighttime temperature change, or daytime temperature change.
The heat storage utilization operating device according to claim 8. The heat storage control means (13) controls so that a constant amount of heat storage for the heat storage utilization operation always remains.
The heat storage utilization operation device according to claim 1. The heat storage utilization operating device (10) according to claim 1,
The refrigeration equipment (21) and the air conditioning equipment (22), which are targets of heat storage utilization operation control by the heat accumulation utilization operation device (10),
Based on heat storage use operation control by the heat storage use operation device (10), a heat storage tank (41) for supplying heat storage energy to the devices (21, 22),
An outdoor unit (51) for supplying the heat storage energy to the devices (21, 22) via the heat storage tank (41) based on the heat storage use operation control by the heat storage use operation device (10),
A heat storage operation system (1) comprising: A power demand control device (31) for controlling the power demand of the space (20);
The heat storage use operation device (10) transmits information indicating that the heat storage amount is insufficient to the power demand control device (31) when the heat storage amount for the heat storage use operation is insufficient.
The power demand control device (31) controls the power demand based on information indicating that the heat storage amount is insufficient.
The heat storage utilization operation system according to claim 11. At least one of the devices (21, 22) has a sensor (24) for sensing outside air or inside air,
The sensor (24) transmits information regarding the sensed outside air or inside air to the load predicting means (11) of the heat storage utilization operating device (10).
The heat storage utilization operation system according to claim 11. The heat storage utilization operating device (10) further receives weather prediction information through a public network, and calculates the load prediction value based on the weather prediction information.
The heat storage utilization operation system according to claim 11. A heat storage use operation method for performing heat storage use operation of a refrigeration device (21) and an air conditioner (22) provided in a predetermined space (20),
A load prediction step of dividing the space (20) into a plurality of regions according to a load factor of refrigeration and air conditioning, and calculating a load prediction value of refrigeration and air conditioning for each region;
Based on the predicted load value, a heat storage control step for controlling the heat storage use operation,
A heat storage operation method comprising: A heat storage use operation program for performing heat storage use operation of the refrigeration equipment (21) and the air conditioning equipment (22) provided in the predetermined space (20),
A first step of acquiring data relating to the area of the space (20) divided according to load factors of refrigeration and air conditioning;
A second step of calculating a predicted value of refrigeration and air conditioning load for each region based on the data relating to the region acquired in the first step;
A third step of calculating the load fluctuation;
A fourth step of correcting the predicted load value based on the variation;
A fifth step of calculating a power demand prediction value of the device (21, 22) based on the load prediction value corrected in the fourth step;
A sixth step of acquiring, in the space (20), a power demand prediction value related to the equipment (23) other than the devices (21, 22) based on the data related to the equipment (23) acquired in advance;
A seventh step of adding the power demand prediction values acquired in the fifth and sixth steps;
An eighth step of extracting a power demand peak time for the space (20) based on the predicted power demand value added in the seventh step;
Based on the time extracted in the eighth step, a ninth step for creating a schedule for heat storage utilization operation;
A tenth step of performing control for the heat storage utilization operation based on the schedule;
A storage heat utilization operation program.

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