JPH06300344A - Method and apparatus for controlling cooling/heating system - Google Patents

Abstract

PURPOSE:To provide a cooling/heating system controller in which an optimum operation plan can be simply obtained. CONSTITUTION:A feedback fuzzy inference unit 43 fuzzy-infers a midnight heat storage amount and a daytime heat pump operating amount based on an air conditioning ending time residual heat storage amount and a daytime heat pump operation amount given from a state recognition unit 41. A feedforward fuzzy inference unit 44 fuzzy-infers a midnight heat storage amount and a daytime heat pump operation amount based on a past air conditioning load performance and air conditioning load increase/decrease estimate given from the unit 41. A weight average calculator 46 calculates a midnight heat storage amount and a daytime heat pump operation amount based on an inference result of the unit 44 and an inference result of the unit 43.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a cooling / heating system control device, and more particularly to proper control of an operation plan.

[0002]

2. Description of the Related Art Today, as a heating and cooling system in a building,
A heat storage type heat pump system is drawing attention. The heat storage type heat pump system is a system in which a heat pump of a heat source device is installed on the roof and a heat storage tank is installed in the basement, and cooling and heating are performed by using nighttime electric power.

Specifically, it is carried out as follows.
Cold water is stored in the heat storage tank in the summer and hot water is stored in the heat storage tank in the winter. In the summer, cold water is piped to each part of the building,
Heat is exchanged with air (cold air) by the fan coil unit.
On the other hand, in winter, hot water is sent to each part of the building, and the fan coil unit exchanges heat with air (cold air).

With such a heat storage type heat pump system, heat is stored in advance by using electric power at night when power demand is low, and this heat is used for daytime cooling and heating. Therefore, power demand can be leveled. As a result, there is an advantage that the cooling and heating costs can be saved, and that the electric power company does not need to construct a power plant according to a time period when the electric power demand is large.

[0005]

However, such a heat storage type heat pump system has the following problems.

In the heat storage type heat pump system,
The heat is stored with electricity at night and this heat is used for air conditioning and heating during the day. Therefore, by predicting the amount of electricity used in the daytime,
It was necessary to make a nighttime operation plan according to this usage amount.

For example, if the nighttime heat storage amount is smaller than the daytime power consumption amount on the next day, it is necessary to operate the heat pump during a time period when the power demand is high. If the amount of stored heat at night is larger than the amount of power used during the daytime on the next day, it means that unnecessary heat is stored.

For this reason, the manufacturer sets a recommended value in advance every month, and the security personnel performs the operation by finely adjusting the operation plan for each building. In other words, instead of accurately grasping the thermal characteristics of each building, a standard building was set up and adapted to it, and an operation plan was created.

Further, with such a method, it is difficult to predict the daytime power consumption on the next day and prepare an accurate operation plan. For example, if the temperature suddenly rises or falls within the same month, it is not possible to follow this and make an optimal operation plan.

An object of the present invention is to provide a cooling / heating system control device which solves the above problems and can easily obtain an optimum operation plan.

[0011]

According to a first aspect of the present invention, there is provided a heat storage means for storing heat by using electric power, an operating means for performing daytime cooling and heating operation using heat stored in the heat storage means, A heating / cooling system control method for controlling a heating / cooling system comprising: When the residual heat storage amount of the heat storage means at the end of the daytime cooling / heating operation is given, fuzzy inference is performed based on the remaining heat storage amount, and the nighttime heat storage schedule is set. The heat quantity stored in the heat storage means at night is controlled based on the quantity.

According to another aspect of the present invention, there is provided an air conditioning system including a heat storage means for storing heat by using electric power and an operating means for performing daytime cooling and heating operation using the heat stored in the heat storage means. A cooling and heating system control device for controlling, when the residual heat storage amount of the heat storage means at the end of the daytime cooling and heating operation is given, fuzzy inference is performed based on this residual heat storage amount, and the nighttime heat storage schedule is based on this fuzzy inference result. Fuzzy inference means for outputting a quantity, and night heat storage quantity control means for controlling the heat quantity stored in the heat storage means at night based on the night heat storage planned quantity.

According to a third aspect of the present invention, there is provided the cooling / heating system control device further comprising residual heat quantity detecting means for detecting the residual heat quantity at the end of the daytime cooling / heating operation of the heat storage means and outputting it to the fuzzy inference means. To do.

In the cooling / heating system control method of the fourth aspect, fuzzy inference is performed based on the daytime temperature,
It is characterized in that the scheduled heat storage amount for the daytime is output and the amount of heat stored in the heat storage means during the daytime is controlled based on the scheduled heat storage amount for the daytime.

According to another aspect of the present invention, there is provided an air-conditioning system control means for detecting an air temperature, and a daytime heat storage amount control means for controlling an amount of heat stored in the heat storage means during the daytime on the basis of a given scheduled heat storage amount during the daytime. The fuzzy inference means performs fuzzy inference based on the air temperature detected by the air temperature detecting means, and outputs the scheduled daytime heat storage amount to the daytime heat storage amount control means.

According to a sixth aspect of the present invention, there is provided a cooling and heating system control method, wherein fuzzy inference is performed based on the past past temperature information, and a planned nighttime heat storage amount is output.

According to a seventh aspect of the present invention, there is provided an air-conditioning system control device comprising: an air temperature detecting means for detecting an air temperature; and an air temperature information storage means for storing the air temperature detected by the air temperature detecting means, wherein the fuzzy inference means is the air temperature information storage. Fuzzy inference is performed based on the past temperature information stored in the means, and the planned nighttime heat storage amount is output to the nighttime heat storage amount control means.

In the cooling and heating system control method of the eighth aspect, fuzzy inference is performed based on the given past temperature information, and the planned night heat storage amount and the planned daytime heat storage amount are output.

According to a ninth aspect of the present invention, there is provided an air conditioning system control device comprising: an air temperature detecting means for detecting an air temperature; and an air temperature information storage means for storing the air temperature detected by the air temperature detecting means, wherein the fuzzy inference means is the air temperature information storage. Fuzzy inference is performed based on the past temperature information stored in the means, and the planned nighttime heat storage amount and the planned daytime heat storage amount are output to the nighttime heat storage amount control means.

[0020]

In the cooling / heating system control method or the control device according to claim 1 or 2, when the residual heat storage amount of the heat storage means at the end of the daytime cooling / heating operation is given, fuzzy inference is performed based on this residual heat storage amount. Based on this fuzzy inference result, the planned nighttime heat storage amount is output to the nighttime heat storage control means. Therefore, it is possible to properly infer the required scheduled nighttime heat storage amount based on the remaining heat storage amount at the end of the daytime cooling and heating operation.

In the cooling and heating system control device of the third aspect, the residual heat amount detecting means detects the residual heat amount at the end of the daytime cooling and heating operation of the heat storing means and outputs it to the fuzzy inference means. Therefore, the residual heat storage amount can be automatically detected.

In the air-conditioning system control method or control device according to claim 4 or 5, fuzzy inference is performed on the basis of the daytime temperature to output the daytime scheduled heat storage amount, and based on the daytime scheduled heat storage amount, the daytime heat storage scheduled amount is output. The amount of heat stored in the heat storage means is controlled. Therefore, the cooling / heating system can be appropriately controlled even when the daytime air-conditioning load is exceeded only by the amount of heat stored at night.

In the cooling / heating system control method or control device according to claim 6 or 7, fuzzy inference is performed based on the given past temperature information, and the planned nighttime heat storage amount is output. Therefore, it is possible to infer the planned nighttime heat storage amount based on the past temperature information.

In the cooling / heating system control method or the control device according to claim 8 or 9, fuzzy inference is performed based on the given past temperature information, and the nighttime heat storage planned amount and the daytime heat storage planned amount are output. . Therefore,
Based on the past temperature information, it is possible to infer the planned night heat storage amount and the planned daytime heat storage amount.

[0025]

【Example】

(1) Configuration One embodiment of the present invention will be described with reference to the drawings. FIG. 1 shows a functional block diagram of the cooling and heating system control device 1. The cooling and heating system control device 1 includes a fuzzy inference means 3, a nighttime heat storage amount control means 5, and a daytime heat storage amount control means 6.
Heat storage means 8, operation means 10, and residual heat storage amount detection means 1
Control the heating and cooling system with 2. In the cooling and heating system, the heat storage means 8 stores heat using electric power. The operating means 10 performs the daytime cooling / heating operation using the heat stored in the heat storage means 8. The residual heat amount detecting means 12 is
The residual heat storage amount at the end of the daytime cooling / heating operation of the heat storage means 8 is detected.

When the residual heat storage amount of the heat storage means 8 at the end of the daytime cooling / heating operation is given, the fuzzy inference means 3 carries out fuzzy inference based on this residual heat storage amount, and based on this fuzzy inference result, the planned nighttime heat storage amount. Is output. The night heat storage amount control means 5 controls the heat amount stored in the heat storage means 8 at night based on the night heat storage planned amount output by the fuzzy inference means 3.

When the daytime temperature is given, the fuzzy inference means 3 performs fuzzy inference based on the daytime temperature and outputs the daytime scheduled heat storage amount. Daytime heat storage amount control means 6
Controls the amount of heat stored in the heat storage means 8 during the day based on this scheduled amount of heat storage during the day.

(2) Example of Air Conditioning / Heating System Configuration FIG. 2 shows the overall configuration of the air conditioning system. 2 is shown in FIG.
Is an example of an air conditioning system that more specifically configures each function of. The cooling and heating system of FIG. 2 includes a plan generation unit 21, an air conditioner control unit 23, an air conditioner 25, a heat pump control unit 29, a heat pump 31, a heat storage tank 27, and an air conditioning load 32. Plan generation unit 21
Outputs a signal to the air conditioner control unit 23 provided for each room of the building so as to start or stop at a set time.

The air conditioner control unit 23 receives the signal and operates the air conditioner 25. As a result, the air conditioner 2
5 uses the heat stored in the heat storage tank 27 to load the air conditioning load 32.
Air conditioning. In this embodiment, each room of the building, which is a space to be cooled and heated, is adopted as the air conditioning load.

The air conditioner 25 is composed of an outdoor unit and an indoor unit, and each of the outdoor unit and the indoor unit is provided with a temperature sensor. The outdoor temperature detected by the temperature sensor of the outdoor unit is sent to the generation planning unit 21. Further, the room temperature detected by the temperature sensor of the indoor unit is sent to the air conditioner control unit 23, and the air conditioner 25 is controlled so as to reach the set room temperature. In this way, daytime cooling and heating is performed.

On the other hand, the plan generator 21 fuzzy infers the nighttime driving plan and the daytime driving plan as described later.
Based on this inference result, a nighttime operation plan is prepared, and based on the plan, the heat pump control unit 29 is
A start or stop signal is output so that the required amount of heat is stored in the heat storage tank 27.

Upon receiving this signal, the heat pump control section 29 controls the heat pump 31, and the heat storage tank 27
Store heat in. The heat storage tank 27 is provided with a water temperature sensor. The bath temperature detected by the water temperature sensor is sent to the heat pump control unit 29 so that the bath temperature becomes the same value as the target temperature sent from the plan generation unit 21,
The operating state of the heat pump 31 is controlled. In particular,
The operating time and the number of operating heat pumps 31 are controlled.

Further, the plan generating section 21 uses the heat pump 3
When it is determined that the required amount of heat cannot be stored only by driving 1 at night, the heat pump 31 is operated during the daytime. Therefore, based on the planned daytime operation plan,
A start or stop signal is output to the heat pump control unit 29 to control the operating time and the number of operating units so that the temperature inside the heat storage tank 27 reaches the target temperature.

As described above, in this embodiment, the heat used for cooling and heating during the daytime on the next day is stored at night, and when the heat storage amount at night is not sufficient, the heat is stored in the heat storage tank 27 during the daytime. Then, the heat stored at night or daytime is used to cool and heat the air conditioning load 32.

(3) Details of Plan Generation Unit 21 Next, the details of the control performed by the plan generation unit 21 will be described with reference to FIG.

The plan generation unit 21 shown in FIG. 2 includes a situation recognition unit 41, a feedback fuzzy inference unit 43, a feedforward fuzzy inference unit 44, and a weighted average calculation unit 46, as shown in FIG.

In the situation recognition section 41, night heat pump operating time and its operating number, daytime heat pump operating time and its operating number, bath temperature, room temperature, outside temperature, and calendar are input.

In this embodiment, the night heat pump operating time and the number of operating heat pumps, and the daytime heat pump operating time and the operating number thereof are shown in FIG. Since the start and stop signals are output to the control unit 29, the data is used.

The temperature inside the tank was obtained using the water temperature sensor of the heat storage tank 27, and the room temperature and the outside air temperature were obtained from the temperature sensor provided in the air conditioner 25.

The calendar is information relating to date and holiday settings, and may be input by the operator, or the date may be automatically obtained using a date mechanism such as a computer. Good.

The situation recognizing unit 41 outputs the residual heat storage amount at the end of air conditioning and the daytime heat pump operating amount to the feedback fuzzy inference unit 43.

In the present embodiment, the residual heat storage amount at the end of air conditioning was calculated based on the difference between the temperature inside the tank at the start and the end of air conditioning, the specific heat of the water in the heat storage tank, and the water amount. Further, the daytime heat pump operating amount was calculated from the operating time of the heat pump 31 and the number of operating units.

The feedback fuzzy inference unit 43 fuzzy infers the nighttime heat storage amount and the daytime heat pump operation amount on the basis of the given air conditioning end remaining heat storage amount and the daytime heat pump operation amount. In this embodiment, fuzzy inference is performed using the rules shown in FIG. 4, the membership function of the antecedent part shown in FIG. 5, and the membership function of the consequent part shown in FIG.

Specifically, the degree of suitability of the antecedent part is calculated by using the given residual heat quantity at the end of air conditioning and the daytime heat pump operating quantity by using the membership function of FIG. With respect to each obtained conformity, the conformity of the consequent part is calculated using each rule shown in FIG. 4 and the membership function of the consequent part shown in FIG. The obtained adaptability is combined to obtain the increment (correction value) of the nighttime heat storage amount and the daytime heat pump operation amount.

For example, regarding the nighttime heat storage amount shown in FIG. 6, if "small" is the fitness of 0.4, "as is" is the fitness of 0.6, and "large" is the fitness of 0.8, The inference result "large" having the highest matching level is output.

The inference result of the feedback fuzzy inference unit 43 is given to the weighted average calculation unit 46.

Now, the rules (see FIG. 4) adopted in this embodiment will be described. The first "IF If the remaining heat quantity at the end of air conditioning is large and the daytime heat pump operation amount is large, then the THEN daytime heat pump operation amount (load factor)
To reduce. "If the amount of heat stored at night is sufficient, first of all, the power consumption is suppressed during a period when the power demand is high.

The second "IF If the remaining heat quantity at the end of air conditioning is large and the daytime heat pump operation amount is small, THEN
Reduce nighttime heat storage. The reason is that the heat pump operating amount during the daytime, which is a time period when power demand is high, is small.
It is intended to reduce the amount of heat stored at night and eliminate unnecessary driving.

In order to reduce the nighttime heat storage amount, the operating time may be shortened or the target temperature may be corrected.
The target temperature is the water temperature of the heat storage tank 27. To correct the target temperature so as to reduce the nighttime heat storage amount, for example, the water temperature may be increased in the case of cooling, and the water temperature may be decreased in the case of heating. Further, it is possible to correct the nighttime heat storage amount by reducing the operating time.

The third "IF If the remaining heat quantity at the end of air conditioning is small and the daytime heat pump operating quantity is large, THEN
Increase nighttime heat storage. "Is intended to equalize the power demand by increasing the power consumption during the time when the power demand is low compared to the power consumption during the time when the power demand is high.

The fourth "IF If the residual heat quantity at the end of air conditioning is small and the daytime heat pump operating quantity is small, THEN
The amount of heat stored at night remains unchanged. Since it is ideal to set the remaining heat storage amount to 0, it is originally preferable to slightly reduce the nighttime heat storage amount, but if the air conditioning load increases from today to the next day, the nighttime heat storage amount This is because there is a risk that the heat pump will be used up and the heat pump will be operated during the day.

Fifth "IF If the nighttime heat storage amount is the maximum value and the heat storage amount becomes 0 before the end of air conditioning, then THEN
`` Increase the amount of heat pump operation during the day, ''
The reason is as follows. Here, the nighttime heat storage amount means a case where the nighttime heat pump operation is fully operated in the system. Specifically, it refers to the case where the set value of the temperature inside the tank is the maximum value (low temperature in the case of cooling, high temperature in the case of heating) and the operating time is maximum. That is, it is possible to determine whether or not the nighttime heat storage amount is the maximum value by referring to the set value of the bath temperature and the operating time.

When the night heat storage amount is the maximum value, it is impossible to further increase the night heat storage amount, so that the daytime heat pump operating amount is increased in advance to avoid the possibility of stopping the air conditioning. Is what you are trying to do.

Next, returning to FIG. 3, the fuzzy inference of the feedforward fuzzy inference unit 44 will be described.
The inference performed by the feedback fuzzy inference unit 43, which has already been described, is data delayed by one day, and therefore may not be able to follow a sudden change in the air conditioning load. Even in such a case, the feed-forward fuzzy inference unit 44 tries to correct the driving plan from the past weather record.

The situation recognizing unit 41 calculates the heat storage amount at the start of air conditioning and the remaining heat amount at the end of air conditioning based on the temperature inside the tank detected by the temperature sensor of the heat storage tank 27. The heat storage amount at the start of air conditioning and the residual heat storage amount at the end of air conditioning can be calculated based on the temperature inside the tank, the specific heat of water in the heat storage tank, and the amount of water.

Further, the situation recognizing section 41 obtains data on the operating time and the number of operating heat pumps operated based on the daytime operation plan.

Based on the data thus obtained, the air conditioning load performance represented by the following equation (1) is calculated. Here, the air-conditioning load performance refers to the amount of heat actually used to cool and heat the air-conditioning load 32 during the daytime.

Daily air-conditioning load result = (remaining heat storage at air conditioning start−remaining heat storage at air conditioning end) + daytime heat pump operating amount ... (1) In addition, the situation recognition unit 41 has given the past several days. Based on the change in outside temperature, estimate the increase / decrease in air conditioning load on the next day. Specifically, in the case of summer cooling, if the maximum temperature of the past several days has increased, the air conditioning load of the next day is predicted to increase. On the other hand, in the case of winter heating, if the minimum temperature of the past few days has decreased, the air conditioning load of the next day is predicted to increase.

In this embodiment, in the case of summer cooling,
The average of changes in the maximum temperature for the past 3 days is calculated to calculate the increase / decrease in the air conditioning load, and in the same way as for winter heating, the average of changes in the minimum temperature for the past 3 days is calculated to calculate the air conditioning load. Calculated the expected increase / decrease.

In this way, the situation recognizing unit 41 infers the past air conditioning load record and the expected increase or decrease of the air conditioning load on the next day based on the data of the tank temperature, the daytime heat pump operating time and its number, and the outside air temperature.

Feedforward fuzzy inference unit 44
Fuzzy infers the nighttime heat storage amount and the daytime heat pump operating amount based on the given past air conditioning load result and the expected increase or decrease of the air conditioning load. In this embodiment, the rules shown in FIG. 7, the membership function of the antecedent part shown in FIG.
Fuzzy reasoning was performed using the membership function of the consequent part shown in.

Specifically, the degree of suitability of the antecedent part is calculated by using the given past air conditioning load result and the expected increase or decrease of the air conditioning load of the next day by using the membership function of FIG. For each of the obtained goodness of fit, the goodness of fit of the consequent part is calculated using each rule shown in FIG. 7 and the membership function of the consequent part shown in FIG. The obtained adaptability is combined to obtain the increment (correction value) for the nighttime heat storage amount and the daytime heat pump operation amount.

For example, regarding the amount of heat stored at night, "small" has a suitability of 0.4, and "as is" has a suitability of 0.6.
Then, if "large" is the goodness of fit of 0.8, the inference result "large" having the highest goodness of fit is output.

The inference result of the feedforward fuzzy inference unit 44 is given to the weighted average calculation unit 46.

Now, the rules (see FIG. 7) adopted in this embodiment will be described. First, "IF If the air conditioning load is expected to increase the next day and the past air conditioning load results are increasing, then increase the THEN night heat storage amount."
This is because, for example, in the case of summer cooling, it is considered that the maximum temperature tends to increase.

The second reason, "if the nighttime heat storage amount is the maximum value, then increase the THEN daytime heat pump operating amount (load factor)." Is that the nighttime operation alone can cover the daytime air conditioning load. This is because the air conditioning may stop in the worst case unless the heat pump operating amount during the day is increased.

Third "IF If the air conditioning load is expected to decrease on the next day, the past air conditioning load results are decreasing, and the daytime heat pump operating amount (load factor) is the minimum value, THEN
Reduce nighttime heat storage. For example, in the case of summer cooling, it is considered that the maximum temperature tends to decrease, and since the power consumption in the time of high power demand is already at the minimum, the night heat storage amount is small. However, there is no problem.

Fourth, "If the air conditioning load on the next day is expected to increase (or decrease) and the past air conditioning load result is decreasing (or increasing), THEN maintains the current operation plan." The reason is that if the air conditioning load forecast for the next day differs from the past air conditioning load results, it cannot be predicted whether the air conditioning load for the next day will decrease or increase. Is.
Note that maintaining the current operation plan means that the night heat storage amount and the daytime heat pump operation amount remain unchanged.

The weighted average calculating unit 46 calculates the night heat storage amount and the daytime heat pump operating amount based on the inference result in the feedforward fuzzy inference unit 44 and the inference result in the feedback fuzzy inference unit 43. In this embodiment, the feedforward fuzzy inference unit 44
And the weight of the feedback fuzzy inference unit 43 is 1: 1.
And

Based on the thus-obtained scheduled heat storage amount at night and the corrected values of the daytime heat pump operating amount, the target temperature, the start / stop time, and the number of started units are output to the heat pump control unit 29.

In this way, it is possible to create an operation plan that grasps the thermal characteristics of each building. As a result, the cooling / heating system control can be performed in consideration of the thermal characteristics of each building.

The weights of the feedforward fuzzy inference unit 44 and the feedback fuzzy inference unit 43 may be manually changed by the building manager.

Further, in this embodiment, the plan generating section 2
1 (see FIG. 2) controls the number of units based on the outside air temperature.
This is because, for example, when there is a sudden temperature rise that exceeds a predetermined threshold in the morning, it is judged that the nighttime heat storage amount will be exceeded surely, and the daytime operation plan prepared in advance is ignored, and the heat pump is It is driven to operate.

For example, when a peak time adjustment contract is made with an electric power company, it is possible to make a contract that power is not transmitted during the peak time period (the time period when the power demand is highest). By making such a contract, the cost of electricity can be reduced. However, under such a contract, if the air-conditioning load suddenly increases, the nighttime heat storage amount will be used up, and the daytime heat storage amount alone will not be sufficient.
Air conditioning may stop during peak cut. Therefore, when there is a rapid temperature rise that exceeds a predetermined threshold value in the morning, a plan for the number of operating heat pumps is created. As a result, it is possible to prevent the air conditioning from stopping during the peak cut time while performing the peak time adjustment contract. In the present embodiment, such a control is meaningful because a detailed operation plan is made.

In this control method, various parameters related to the operation plan are adjusted from appropriate initial values to appropriate values according to the installed environment and its changes. In this embodiment, the standard value of the current method is used as the initial value. For example, regarding the nighttime heat storage operation, the operation time is set to 22:00 to 8:00, and the target temperature is set to a designated value for each month as shown in FIG. In the daytime heat pump operation, the operating hours were set to 8:00 to 11:30 and 15:00 to 18:00, and the load factor was set for each month.

With such a heating / cooling system controller, as shown in FIG. 10B, the air conditioning load b required for the daytime on the next day can be covered by the nighttime heat storage amount a of the previous day. Further, as shown in FIG. 10A, when the nighttime heat storage amount a alone cannot cover the daytime air conditioning load “b + c”, the daytime heat pump operation may be performed.

III. Other Application Examples In this embodiment, both the feedback fuzzy inference unit 43 and the feedforward fuzzy inference unit 44 are provided, but only one of them is used for fuzzy inference. May be.

Further, by inputting a seasonal factor into the weighted average calculation unit, more appropriate control of the cooling / heating system can be performed. This is because the feedforward fuzzy inference unit 44 tries to adjust the control for the next day based on such a change when the temperature changes abruptly in the middle of a certain month. Therefore, the calendar information is given to the weighted average calculation unit 46, and in such a seasonal change where a rapid temperature change is likely to occur, the inference result of the feedforward fuzzy inference unit 44 is heavily evaluated to determine the cooling / heating system. This is because more appropriate control can be performed.

In this embodiment, the fuzzy inference is performed using the rule shown in FIG. 4, but the present invention is not limited to this, and another rule may be used from the same viewpoint.

Further, in this embodiment, the actual air conditioning load is obtained by using the residual heat storage amount and the daytime heat pump operating amount. However, without being limited to this,
The air conditioning load performance may be measured based on the night heat pump operating amount, the daytime heat pump operating amount, and the heat amount actually used for air conditioning.

In this embodiment, water is used to store heat in the heat storage tank 27, but other substances may be used.

Further, in this embodiment, as for the nighttime heat storage amount, the heat actually stored in the heat storage tank is detected.
Therefore, even if there is a change over time in the system, an appropriate cooling / heating system can be controlled without considering the relevant factors.

In this embodiment, hot water or cold water in the heat storage tank is directly sent to each part of the building so that the fan coil unit exchanges heat. However, the air may be blown to each part of the building through the air duct after being changed to cold air by the heat exchanger.

Needless to say, when air conditioning is not performed on holidays, the heat stored at night on the next scheduled air conditioning day is used.

In the above embodiment, in order to realize the function shown in FIG. 1, this is realized by hardware such as a logic circuit. However, some or all of it
It may be realized by software using U.

[0086]

According to the air-conditioning system control method or control device of the first or second aspect, when the residual heat storage amount of the heat storage means at the end of the daytime cooling / heating operation is given, the fuzzy inference is performed based on this residual heat storage amount. Based on this fuzzy inference result, the planned nighttime heat storage amount is output to the nighttime heat storage control means. Therefore, it is possible to properly infer the required scheduled nighttime heat storage amount based on the remaining heat storage amount at the end of the daytime cooling and heating operation. Accordingly, it is possible to provide the cooling and heating system control device that can easily obtain the optimum operation plan.

In the cooling and heating system control device of the third aspect, the residual heat storage amount detecting means detects the residual heat storage amount at the end of the daytime cooling and heating operation of the heat storage means and outputs it to the fuzzy inference means. Therefore, the residual heat storage amount can be automatically detected. As a result, it is possible to provide a cooling and heating system control device that can more easily obtain an optimum operation plan.

In the cooling and heating system control method or the control device according to claim 4 or 5, fuzzy inference is performed based on the daytime temperature, the planned daytime heat storage amount is output, and based on the daytime heat storage planned amount, the daytime heat storage planned amount is output. The amount of heat stored in the heat storage means is controlled. Therefore, the cooling / heating system can be appropriately controlled even when the daytime air-conditioning load is exceeded only by the amount of heat stored at night. Accordingly, it is possible to provide the cooling and heating system control device that can easily obtain the optimum operation plan.

In the cooling / heating system control method or the control device according to claim 6 or 7, fuzzy inference is performed based on the given past temperature information, and the planned nighttime heat storage amount is output. Therefore, it is possible to infer the planned nighttime heat storage amount based on the past temperature information. Accordingly, it is possible to provide the cooling and heating system control device that can easily obtain the optimum operation plan.

In the heating / cooling system control method or the control device according to claim 8 or claim 9, fuzzy inference is performed based on the given past temperature information, and the planned nighttime heat storage amount and the planned daytime heat storage amount are output. . Therefore,
Based on the past temperature information, it is possible to infer the planned night heat storage amount and the planned daytime heat storage amount. Accordingly, it is possible to provide the cooling and heating system control device that can easily obtain the optimum operation plan.

[Brief description of drawings]

FIG. 1 is a functional block diagram of an air conditioning system.

FIG. 2 is a diagram showing a hardware configuration for realizing the cooling and heating system shown in FIG.

FIG. 3 is a diagram showing details of a plan generation unit 21.

FIG. 4 is a diagram showing an example of a rule for performing feedback control.

FIG. 5 is a diagram showing an example of a membership function of an antecedent part for performing feedback control.

FIG. 6 is a diagram showing an example of a membership function of a consequent part for performing feedback control.

FIG. 7 is a diagram showing an example of a rule for performing feedforward control.

FIG. 8 is a diagram showing an example of a membership function of an antecedent part for performing feedforward control.

FIG. 9 is a diagram showing monthly initial setting values of the heat storage tank 27.

FIG. 10 is a diagram showing a ratio of a nighttime heat storage amount and a daytime air conditioning load (cooling / heating).

[Explanation of symbols]

 3 ... Fuzzy inference means 5 ... Night heat storage amount control means 6 ... Daytime heat storage amount control means

Claims (9)

[Claims] 1. A heating / cooling system control method for controlling a heating / cooling system, comprising: heat storage means for storing heat using electric power; and operation means for performing daytime cooling / heating operation using the heat stored in the heat storage means. When the residual heat storage amount of the heat storage means at the end of the daytime cooling and heating operation is given, fuzzy inference is performed based on this residual heat storage amount, and the heat amount stored in the heat storage means at night is controlled based on the nighttime heat storage planned amount. A method of controlling an air conditioning system, characterized by: 2. A cooling / heating system control device for controlling a cooling / heating system, comprising: heat storage means for storing heat using electric power; and operation means for performing daytime cooling / heating operation using the heat stored in the heat storage means. When the residual heat storage amount of the heat storage means at the end of the daytime cooling and heating operation is given, fuzzy inference is performed based on this residual heat storage amount, and a fuzzy inference means that outputs a nighttime heat storage scheduled amount based on the fuzzy inference result, An air-conditioning system control device comprising: a nighttime heat storage amount control means for controlling the amount of heat stored in the heat storage means at night based on a planned nighttime heat storage amount. 3. The cooling / heating system control device according to claim 2, further comprising: residual heat amount detecting means for detecting the residual heat amount at the end of the daytime cooling / heating operation of the heat storing means and outputting it to the fuzzy inference means. Characteristic cooling and heating system control device. 4. The heating / cooling system control method according to claim 1, wherein fuzzy inference is performed on the basis of the daytime temperature to output a planned daytime heat storage amount, and based on the daytime scheduled heat storage amount, stored in the heat storage means during the daytime. A heating / cooling system control method comprising controlling the amount of heat. 5. The cooling / heating system control device according to claim 2, wherein an air temperature detecting means for detecting an air temperature, a daytime heat storage amount control means for controlling an amount of heat stored in the heat storage means in the daytime based on a given daytime scheduled heat storage amount, The fuzzy inference means performs fuzzy inference based on the air temperature detected by the air temperature detecting means, and outputs the planned daytime heat storage amount to the daytime heat storage amount control means. 6. The heating / cooling system control method according to claim 1, wherein fuzzy inference is performed on the basis of given past temperature information to output a planned nighttime heat storage amount. 7. The cooling / heating system control device according to claim 2, further comprising: an air temperature detecting means for detecting an air temperature; and an air temperature information storage means for storing an air temperature detected by the air temperature detecting means, wherein the fuzzy inference means is provided with the air temperature information. A cooling and heating system control device, characterized in that fuzzy inference is performed based on past temperature information stored in a storage means, and a planned nighttime heat storage amount is output to the nighttime heat storage amount control means. 8. A heating / cooling system control method according to claim 4, wherein fuzzy inference is performed on the basis of given past temperature information, and a nighttime heat storage planned amount and a daytime heat storage planned amount are output. System control method. 9. The cooling and heating system control device according to claim 5, further comprising: an air temperature detecting means for detecting an air temperature, and an air temperature information storage means for storing an air temperature detected by the air temperature detecting means, wherein the fuzzy inference means is provided with the air temperature information. A cooling and heating system control device, characterized in that fuzzy inference is performed based on past temperature information stored in a storage means, and a night heat storage planned amount and a daytime heat storage planned amount are output to the night heat storage amount control means.