WO2016009506A1

WO2016009506A1 - Air conditioning controller, air conditioning control method, and program

Info

Publication number: WO2016009506A1
Application number: PCT/JP2014/068900
Authority: WO
Inventors: 浩子泉原
Original assignee: 三菱電機株式会社
Priority date: 2014-07-16
Filing date: 2014-07-16
Publication date: 2016-01-21
Also published as: JP6125104B2; JPWO2016009506A1; CN106461255A; CN106461255B; DE112014006809T5

Abstract

In the present invention, a control algorithm database (121) stores a plurality of types of control algorithms for controlling air conditioning units. A properties database (123) stores property data specific to a building in which the air conditioning unit is disposed. An environment data acquisition unit (131) controls a communication unit (11) and acquires environmental data for the inside and outside of the building. On the basis of acquired environment data and the properties data, a prediction unit (132) runs a simulation for each control algorithm where the air conditioning units are controlled by that control algorithm and predicts control results for each control algorithm. A selection unit (133) evaluates each predicted control result on the basis of energy efficiency and comfort in order to select one of the control algorithms. A control unit (134) controls the air conditioning unit on the basis of the selected control algorithm.

Description

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

The present invention relates to an air conditioning control device, an air conditioning control method, and a program that can appropriately control an air conditioner installed in a building such as a building.

In recent years, there has been an increasing demand for energy saving for air conditioners installed in buildings. For this reason, manufacturers of air conditioners have improved energy efficiency by making the power of the air conditioners more efficient and controlling the air conditioners according to the air conditioning load.

As a prior art for controlling such an air conditioner, for example, in Patent Document 1, a heat load in a building is predicted, the number of operating air conditioners (air conditioning heat source units) and the operation pattern are selected, and the operation schedule An invention of a system (navigation system) for setting the system is disclosed.

JP 2011-002112 A

In the system of Patent Document 1 described above, an operation schedule corresponding to the predicted heat load is set in the air conditioner to improve energy saving. However, simply selecting the number of operating units and controlling the air conditioner with respect to the heat load may cause temperature unevenness in the room and reduce user comfort.

The present invention was made in order to solve the above-described problems. An air conditioning control device, an air conditioning control method, and the like that can appropriately control an air conditioner while achieving both comfort and energy saving. And it aims at providing a program.

In order to achieve the above object, an air conditioning control device according to the present invention includes:
An air conditioning control device for controlling an air conditioner installed in a building,
An algorithm storage unit for storing a plurality of types of control algorithms;
A characteristic data storage unit for storing characteristic data unique to the building;
An environmental data acquisition unit for acquiring environmental data inside and outside the building;
Based on the acquired environmental data and the characteristic data, a prediction unit that executes a simulation using each control algorithm for controlling the air conditioner and predicts a control result for each control algorithm. When,
A selection unit that selects any of the control algorithms by evaluating the predicted control results based on energy saving and comfort, respectively.
A control unit for controlling the air conditioner based on the selected control algorithm;
Is provided.

According to the present invention, the results of executing the simulation using a plurality of types of control algorithms for controlling the air conditioner are each evaluated based on energy saving and comfort. And an air conditioner is controlled based on the control algorithm selected by those evaluations. As a result, the air conditioner can be appropriately controlled while achieving both comfort and energy saving.

It is a schematic diagram which shows an example of the whole structure of the air conditioning system which concerns on embodiment of this invention. It is a block diagram which shows an example of a structure of the air-conditioning control apparatus which concerns on embodiment of this invention. It is a schematic diagram which shows an example of a control algorithm database. It is a schematic diagram which shows an example of the control result estimated by simulation. It is a flowchart which shows an example of the air-conditioning control process which concerns on embodiment of this invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In this case, the same or corresponding parts are denoted by the same reference numerals in the drawings.

FIG. 1 is a schematic diagram showing an example of the overall configuration of an air conditioning system 1 according to an embodiment of the present invention. The air conditioning system 1 is a system that controls an air conditioner (an outdoor unit 20 or an indoor unit 30) installed in a building such as a building. The air conditioning system 1 includes an air conditioning control device 10, an outdoor unit 20, an indoor unit 30 (30a, 30b), and a remote controller 40 (40a, 40b). Among these, the air conditioning control device 10, the outdoor unit 20, and the indoor unit 30 are communicably connected via the air conditioning communication network 90. Further, the indoor unit 30 and the remote controller 40 are communicably connected via a communication line or the like.

In addition, the structure of the air conditioning system 1 shown in FIG. 1 is an example, and can be changed suitably. For example, an appropriate number of the indoor units 30 is installed according to the size of the room in a building, the floor plan (room separation), and the like. Also, an appropriate number of outdoor units 20 is installed according to the number of indoor units 30 and the like. The air conditioning system 1 can be appropriately changed to a configuration according to such an actual building.

The air conditioning control device 10 controls the outdoor unit 20 and the indoor unit 30 via the air conditioning communication network 90. Details of the air conditioning control device 10 will be described later.

The outdoor unit 20 is installed outside the building rooftop or the like, and is controlled by the air conditioning control device 10 or the like. The outdoor unit 20 includes, for example, a compressor and a heat source side heat exchanger, and is connected to the indoor units 30 (30a, 30b) by piping. The outdoor unit 20 circulates the refrigerant between the outdoor unit 20 and the indoor unit 30 through this pipe. The outdoor unit 20 includes a sensor for measuring environmental data such as temperature and humidity, for example, and the measured environmental data (outdoor temperature (outside temperature) and outdoor humidity) is transmitted via the air conditioning communication network 90. To the air conditioning control device 10.

The indoor unit 30 (30a, 30b) is installed in a room such as a ceiling in a building, and is controlled by the air conditioning control device 10 or the remote controller 40 (40a, 40b). The indoor unit 30 includes, for example, an expansion valve and a load-side heat exchanger, and is connected to the outdoor unit 20 by piping. The indoor unit 30 evaporates or condenses the refrigerant in the load side heat exchanger, and performs air conditioning of the target space. The indoor unit 30 includes a sensor for measuring environmental data such as temperature and humidity, for example, and the measured environmental data (for example, indoor temperature and indoor humidity near the ceiling) is sent to the air conditioning communication network 90. Is transmitted to the air conditioning control device 10. As will be described later, since the environmental data measured by the remote controller 40 is also collected in the indoor unit 30, the indoor unit 30 also transmits this environmental data to the air conditioning control device 10.

The remote control 40 (40a, 40b) is installed in a room such as a wall in the building. The remote controller 40 includes, for example, a liquid crystal display panel and buttons, and is connected to the indoor unit 30 via a communication line or the like. Then, the remote controller 40 displays the operation status of the indoor unit 30 on the liquid crystal display panel, or detects the pressing of the button to accept an operation from the user. In addition, the remote controller 40 includes a sensor for measuring environmental data such as temperature and humidity, and transmits the measured environmental data (for example, indoor temperature and indoor humidity near the wall) to the indoor unit 30. To do.

Next, details of the air conditioning control device 10 will be described with reference to FIG. FIG. 2 is a block diagram showing an example of the configuration of the air conditioning control device 10 according to the embodiment of the present invention. As illustrated, the air conditioning control device 10 includes a communication unit 11, a data storage unit 12, and an arithmetic processing unit 13.

The communication unit 11 is, for example, a communication interface that can communicate with the outdoor unit 20 and the indoor unit 30 through the air conditioning communication network 90. The communication unit 11 is controlled by the arithmetic processing unit 13, receives environmental data from the outdoor unit 20 and the indoor unit 30, and transmits command data to the outdoor unit 20 and the indoor unit 30.

The data storage unit 12 plays a role as a so-called secondary storage device (auxiliary storage device), and includes, for example, a readable / writable nonvolatile semiconductor memory such as a flash memory. The data storage unit 12 stores a control algorithm database 121, a control result database 122, and a characteristic database 123 described below. In addition, the data storage unit 12 stores a program executed by the arithmetic processing unit 13.

First, the control algorithm database 121 will be described with reference to FIG. FIG. 3 is a schematic diagram illustrating an example of the control algorithm database 121. The control algorithm database 121 stores a plurality of types of algorithms for controlling the outdoor unit 20 and the indoor unit 30 (that is, the air conditioner). The name shown in FIG. 3 has shown the name attached | subjected to the control algorithm. Further, the recommended environment shown in FIG. 3 defines an environment (for example, temperature or weather) recommended when using the control algorithm. And the control content shown in FIG. 3 has shown the specific content of the algorithm. The contents of the control are shown in text for easy understanding, but actually, for example, various control parameters and application conditions are defined by numerical data.

Referring back to FIG. 2, the control result database 122 stores a log of actual control results. For example, when the air conditioner (the outdoor unit 20 or the indoor unit 30) is controlled according to the control algorithm, the control result database 122 is the operation data such as ON / OFF of the air conditioner and the set temperature, the air conditioner Power consumption data and indoor / outdoor environmental data are stored.

The characteristic database 123 stores data representing characteristics unique to a building (property). For example, the characteristic database 123 includes data such as building dimensions and building materials, data on the types and installation positions of equipment such as air conditioners and lighting, data such as the number of set residents (users) and standard positions, and the like. , Memorize the dimensions and location data of fixtures.

The arithmetic processing unit 13 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like (all not shown), and controls the entire air conditioning control device 10. Functionally, the arithmetic processing unit 13 includes an environmental data acquisition unit 131, a prediction unit 132, a selection unit 133, and a control unit 134. These functions are realized by the CPU appropriately executing various programs stored in the ROM or the data storage unit 12 using the RAM as a work memory.

The environmental data acquisition unit 131 controls the communication unit 11 to acquire environmental data inside and outside the building. That is, the environmental data acquisition unit 131 acquires environmental data such as temperature and humidity measured by the sensors of the outdoor unit 20 and the indoor unit 30 (remote controller 40). Note that the environmental data may include CO ₂ concentration, airflow (direction and intensity), and the like.

The prediction unit 132 performs simulation using each control algorithm stored in the control algorithm database 121 based on the environmental data acquired by the environmental data acquisition unit 131 and the characteristic data stored in the characteristic database 123 (as an example, Each of the control results for each control algorithm is predicted. Note that the prediction unit 132 may further execute simulation using each control algorithm in addition to the actual control result stored in the control result database 122 in addition to the data. Further, the prediction unit 132 may narrow down the control algorithm for performing the simulation using the recommended environment illustrated in FIG. 3 described above. In other words, the prediction unit 132 may narrow down only the control algorithm whose current environmental data matches the specified recommended environment, and execute a simulation based only on the control algorithm that is expected to exhibit a high effect.

Specifically, the prediction unit 132 predicts a control result as shown in FIG. 4 by simulation. That is, the prediction unit 132 divides the room (the room to be air-conditioned) into a plurality of sections, and predicts the temperature and the direction and strength of the airflow in each section. The prediction unit 132 predicts such a control result for each control algorithm.

2, the selection unit 133 selects one of the control algorithms by evaluating each control result predicted by the prediction unit 132 based on energy saving and comfort. Such a selection unit 133 includes an energy saving performance evaluation unit 133a and a comfort evaluation unit 133b in more detail.

The energy saving evaluation unit 133a evaluates each control result predicted by the prediction unit 132 based on the energy saving property. For example, the energy saving evaluation unit 133a evaluates the predicted control result based on the energy saving obtained from the relationship between the power consumption of the air conditioner (the outdoor unit 20 or the indoor unit 30) and the target power consumption. This will be specifically described below.

First, the energy-saving evaluation unit 133a acquires the set temperature and operation time of the air conditioner (the outdoor unit 20 and the indoor unit 30) when the control algorithm is executed from the predicted control result, and predicts the power consumption. To do. In addition, the energy saving evaluation unit 133 a reads the target power consumption set by the user from the data storage unit 12. In addition, when the target power consumption is not set, a virtual value (for example, the power consumption of the previous day) is used as the target power consumption. And the energy-saving evaluation part 133a calculates the energy-saving index of a control algorithm. This energy saving index is the reciprocal of the predicted power consumption with respect to the target power consumption per unit time. For example, if the target power consumption is 1 kWh and the predicted power consumption is 2 kWh, the energy saving index is 0.5. The energy saving evaluation unit 133a evaluates the predicted control result based on the energy saving index (energy saving) obtained in this way.

The comfort evaluation unit 133b evaluates each control result predicted by the prediction unit 132 based on the comfort. This will be specifically described below.

First, the comfort evaluation part 133b calculates | requires the comfort in each division based on the control result as shown in FIG. 4 mentioned above. For this comfort, for example, a comfort evaluation index such as SET * (Standard Effective Temperature) or PMV (Predicted Mean Vote) is used. That is, comfort is calculated using a predetermined arithmetic expression for the comfort evaluation index. Note that SET * and PMV are examples, and other comfort evaluation indices may be used, or comfort may be calculated using a unique evaluation function. Next, the comfort evaluation unit 133b refers to the standard position of the user stored in the characteristic database 123, and weights comfort (comfort evaluation index, etc.) according to the number of people in the section. Then, the comfort evaluation unit 133b evaluates the predicted control result based on the comfort thus obtained.

And the selection part 133 selects such a control algorithm with the highest energy-saving property and comfort. For example, the selection unit 133 normalizes the obtained energy saving index and the comfort evaluation index, and linearly corrects so that the maximum value of each value becomes 1. And the selection part 133 adds the normalized energy-saving index | exponent and the comfort index | exponent, and selects the control algorithm with the largest value.

The control unit 134 controls the outdoor unit 20 and the indoor unit 30 based on the control algorithm selected by the selection unit 133. That is, the control unit 134 controls the air conditioner based on a control algorithm that has been highly evaluated for both energy saving and comfort.

Hereinafter, the operation of the air-conditioning control apparatus 10 having such a configuration will be described with reference to FIG. FIG. 5 is a flowchart illustrating an example of the air conditioning control process according to the embodiment of the present invention.

First, the air conditioning control device 10 acquires environmental data (step S501). That is, the environmental data acquisition unit 131 acquires environmental data such as temperature and humidity measured by the outdoor unit 20 and the indoor unit 30 (remote controller 40).

The air conditioning control device 10 narrows down the control algorithm (step S502). That is, the prediction unit 132 narrows down the control algorithm for performing the simulation using the recommended environment illustrated in FIG. 3 described above. For example, the prediction unit 132 narrows down only the control algorithms whose current environment data matches the recommended environment as targets to be simulated.

The air conditioning control device 10 executes a simulation using each control algorithm and predicts the control result (step S503). That is, the prediction unit 132 executes a simulation using each control algorithm narrowed down in step S502 based on the environmental data acquired by the environmental data acquisition unit 131 and the characteristic data stored in the characteristic database 123. Then, the control result for each control algorithm is predicted. Note that the prediction unit 132 may further execute simulation using each control algorithm in addition to the actual control result stored in the control result database 122 in addition to the data.

The air conditioning control device 10 calculates an energy saving index from the predicted control result (step S504). That is, the energy saving evaluation unit 133a calculates the energy saving index obtained from the relationship between the power consumption of the air conditioner (the outdoor unit 20 or the indoor unit 30) and the target power consumption. Specifically, the energy saving evaluation unit 133a acquires the set temperature and operating time of the air conditioner when the control algorithm is executed from the predicted control result, and predicts the power consumption. In addition, the energy saving evaluation unit 133 a reads the target power consumption set by the user from the data storage unit 12. In addition, when the target power consumption is not set, a virtual value (for example, the power consumption of the previous day) is used as the target power consumption. And the energy-saving evaluation part 133a calculates the energy-saving index | exponent made into the reciprocal number of the predicted power consumption with respect to the target power consumption per unit time.

The air conditioning control device 10 calculates a comfort evaluation index from the predicted control result (step S505). That is, the comfort evaluation unit 133b obtains a comfort evaluation index in each section based on the control result as shown in FIG. The comfort evaluation index is calculated using an arithmetic expression such as SET * or PMV, for example. And the comfort evaluation part 133b refers to the standard position of the user memorize | stored in the characteristic database 123, and weights a comfort evaluation index | exponent highly according to the number of persons in a division, etc.

The air conditioning control device 10 selects a control algorithm based on the calculated energy saving index and comfort evaluation index (step S506). That is, the selection unit 133 selects a control algorithm with the highest energy saving performance and comfort.

The air conditioning control device 10 controls the air conditioner based on the selected control algorithm (step S507). That is, the control unit 134 controls the outdoor unit 20 and the indoor unit 30 based on the control algorithm selected in step S506. At this time, the air-conditioning control device 10 stores control data during operation (for example, operation mode, set temperature, etc.), environment data, and the like in the control result database 122.

The air conditioning control device 10 executes such an air conditioning control process at predetermined timings. For example, as will be described later, when the weather data is acquired from the outside, the air conditioning control device 10 executes such an air conditioning control process every time the weather data is announced (for example, three times a day). To do.

As described above, the air conditioning control device 10 according to the embodiment of the present invention is a result of executing a simulation using a plurality of types of control algorithms for controlling the air conditioner (the outdoor unit 20 or the indoor unit 30). Are evaluated based on energy saving and comfort. And an air conditioner is controlled based on the control algorithm selected by those evaluations. As a result, the air conditioner can be appropriately controlled while achieving both comfort and energy saving.

In addition, the air conditioning control device 10 according to the embodiment of the present invention can reduce a calculation load and the like by narrowing down a control algorithm for performing simulation using the recommended environment illustrated in FIG. 3 described above. That is, the prediction of the control result of the air conditioner using a hot air flow simulation or the like has a high calculation load, and in order to predict the control result of a large number of control algorithms, the air conditioning controller 10 includes a high-performance arithmetic processing unit 13 (CPU Etc.) may be required. Nevertheless, as in the present invention, by defining a recommended environment in which the control algorithm is expected to exert a high effect, and narrowing down the control algorithm that matches the recommended environment to the current environment data, it is not so powerful for simulation. Since the arithmetic processing unit 13 is not required, the cost of the product can be reduced, and the operation time until the calculation is completed can be reduced.

In the air conditioning control device 10 according to the above embodiment, the comfort evaluation unit 133b obtains the comfort in each section based on the control result as shown in FIG. Although the case of weighting has been described with reference to the user's standard position, the comfort of only the section corresponding to the user's standard position may be obtained instead of weighting. In this case, it is possible to select a control algorithm in which comfort is highly evaluated at a place where the user is present and energy saving performance is highly evaluated at a place where the user is not present.

In the air-conditioning control apparatus 10 according to the above-described embodiment, the case where the selection unit 133 selects a control algorithm that has been highly evaluated for both energy saving and comfort has been described. You may enable it to perform the setting which gives priority to either. For example, when the user has set priority for either energy saving or comfort, the selection unit 133 selects one of the control algorithms by giving a higher weight to the priority evaluation. You may make it do. In this case, by enabling the user to select whether to place importance on energy saving or comfort, if the user wants to reduce power consumption, priority is given to energy saving. An algorithm can be selected.

In the air-conditioning control apparatus 10 according to the above-described embodiment, the case where the standard position of the user is stored in the characteristic database 123 has been described. It may be possible to acquire changes in the number of people. Further, a human sensor or the like may be further disposed in the room to detect the current user position (approximate position) and use it for weighting evaluation of comfort.

In the above embodiment, the case where the outdoor unit 20, the indoor unit 30, and the remote controller 40 are provided with sensors for measuring environmental data such as temperature and humidity has been described. However, similar sensors are further arranged inside and outside the building. Thus, the environment data may be acquired more finely. The environmental data is not limited to the temperature and humidity measured by the sensor, and may include various weather data that can be acquired from the outside. For example, if the air conditioning control device 10 can also access an external network (such as the Internet) via the communication unit 11, the air conditioning control device 10 receives weather data from a predetermined server (such as a public or private weather data distribution server). Receive. This meteorological data may include not only current meteorological data but also forecasted data (forecasted meteorological data) about several hours later.

In the air-conditioning control device 10 according to the above-described embodiment, the case where the target power consumption is a fixed value (set value or the like) has been described when calculating the energy saving index in step S504 described above. When weather data (for example, forecast weather data such as a weekly forecast) is acquired from the outside, power consumption that may be used today may be obtained from such weather data. For example, the target power consumption may be set low when the forecast is that the outside air temperature is relatively low and a hot day follows the next day. In this case, the determined target power consumption can be effectively distributed and used.

In the air conditioning control device 10 according to the above-described embodiment, the case where the control algorithm is narrowed down using the recommended environment in the above-described step S502 has been described, but the control algorithm may be narrowed down as appropriate. For example, the control results that have been highly effective may be narrowed down from the past control results stored in the control result database 122. The actual air conditioning effect may differ from the simulation results due to the influence of indoor heat source arrangement and partition layout change. For this reason, it is possible to select a control algorithm more suitable for the actual environment by effectively using the control result when the control algorithm is actually executed.

In said embodiment, although the air-conditioning control apparatus 10 demonstrated the case where the outdoor unit 20 and the indoor unit 30 were controlled, operation | movement of such an air blower fan was installed when an air blower fan etc. were installed as an auxiliary machine other than that. The fan may be included in the control target by executing a simulation including

In the above-described embodiment, the case where the air conditioning control device 10 executes a simulation and predicts the control result has been described. However, an external server or the like instead executes the simulation and sends the control result to the air conditioning control device 10. You may make it provide. For example, when the air-conditioning control apparatus 10 can also access an external network (such as the Internet) via the communication unit 11, environmental data, characteristic data, Also, each control algorithm is provided to request a simulation. And when each control result is received from an external server, the air-conditioning control apparatus 10 evaluates each control result based on energy saving performance and comfort in the same manner as described above, so that any one of the control algorithms is determined. select. In addition, you may make it request to an external server until evaluation of energy-saving property and comfort.

Moreover, although the case where the exclusive air-conditioning control apparatus 10 was used was demonstrated in the said embodiment, the said personal program is applicable by applying the operation program which prescribes | regulates the operation | movement of the air-conditioning control apparatus 10 to an existing personal computer, an information terminal device, etc. It is also possible to cause a computer or the like to function as the air conditioning control device 10 according to the present invention.

Further, such a program distribution method is arbitrary. For example, a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), an MO (Magneto Optical Disk), a memory card, etc. can be read by a computer. It may be distributed by storing in a recording medium, or distributed via a communication network such as the Internet.

The present invention is capable of various embodiments and modifications without departing from the spirit and scope of the broad sense. Further, the above-described embodiment is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.

The present invention can be employed to provide an air conditioning control device, an air conditioning control method, and a program capable of appropriately controlling an air conditioner while achieving both comfort and energy saving.

1 air conditioning system, 10 air conditioning control device, 20 outdoor unit, 30 (30a, 30b) indoor unit, 40 (40a, 40b) remote control, 90 air conditioning communication network, 11 communication unit, 12 data storage unit, 13 arithmetic processing unit, 121 Control algorithm database, 122 control result database, 123 characteristic database, 131 environmental data acquisition unit, 132 prediction unit, 133 selection unit, 133a energy saving evaluation unit, 133b comfort evaluation unit, 134 control unit

Claims

An air conditioning control device for controlling an air conditioner installed in a building,
An algorithm storage unit for storing a plurality of types of control algorithms;
A characteristic data storage unit for storing characteristic data unique to the building;
An environmental data acquisition unit for acquiring environmental data inside and outside the building;
Based on the acquired environmental data and the characteristic data, a prediction unit that executes a simulation using each control algorithm for controlling the air conditioner and predicts a control result for each control algorithm. When,
A selection unit that selects any of the control algorithms by evaluating the predicted control results based on energy saving and comfort, respectively.
A control unit for controlling the air conditioner based on the selected control algorithm;
An air conditioning control device.
The selection unit includes a comfort evaluation unit that evaluates the control result predicted by the prediction unit based on comfort calculated using an arithmetic expression of a predetermined comfort evaluation index,
The characteristic data stored in the characteristic data storage unit includes a standard position of the user in the building,
The air conditioning control device according to claim 1, wherein the comfort evaluation unit evaluates comfort at the standard position included in the characteristic data.
The selection unit selects one of the control algorithms by assigning a higher weight to the priority evaluation when the user has made a setting that prioritizes either energy saving or comfort. The air conditioning control device according to claim 1.
The algorithm storage unit stores recommended environment data in association with each control algorithm,
The air conditioning control device according to claim 1, wherein the prediction unit narrows down the control algorithm for executing a simulation according to a relationship between the environmental data acquired by the environmental data acquisition unit and the recommended environmental data.
An air conditioning control method for controlling an air conditioner installed in a building,
An environmental data acquisition step of acquiring environmental data inside and outside the building;
Based on the acquired environmental data and the characteristic data specific to the building, a simulation is performed using a plurality of types of control algorithms for controlling the air conditioner, and control results for the control algorithms are obtained. A prediction step to predict each,
A selection step of selecting any of the control algorithms by evaluating the predicted control results based on energy saving and comfort, respectively.
A control step of controlling the air conditioner based on the selected control algorithm;
An air conditioning control method comprising:
A computer that controls the air conditioner installed in the building
An environmental data acquisition unit for acquiring environmental data inside and outside the building;
Based on the acquired environmental data and the characteristic data specific to the building, a simulation is performed using a plurality of types of control algorithms for controlling the air conditioner, and control results for the control algorithms are obtained. Each predictor,
A selection unit that selects any of the control algorithms by evaluating the predicted control results based on energy saving and comfort, respectively.
A control unit for controlling the air conditioner based on the selected control algorithm;
Program to function as.