JP2021082007A - Energy-saving effect estimation device, energy-saving effect estimation system, energy-saving effect estimation method and program - Google Patents

Abstract

To provide an energy-saving effect estimation device, an energy-saving effect estimation system, an energy-saving effect estimation method, and a program each allowing for estimation of an energy-saving effect obtained when energy-saving control is performed for an air conditioner installed in a specific property.SOLUTION: In an energy-saving effect estimation system, a heat load feature quantity calculation unit 103 acquires a heat load feature quantity of a property in which an air conditioner 200 is installed based on air conditioning data. An energy-saving effect estimation unit 108 acquires a value indicating the energy-saving effect of energy-saving control for a property in which the energy-saving control is performed for the air conditioner, among a plurality of properties, and compares the heat load feature quantity of the property in which the energy-saving control is performed with the heat load feature quantity of a property in which the energy-saving control is not performed, such that an estimated value of the energy-saving effect for the property in which the energy-saving control is not performed, is calculated from a value indicating the energy-saving effect of the property in which the energy-saving control is performed.SELECTED DRAWING: Figure 5

Description

The present invention relates to an energy saving effect estimation device, an energy saving effect estimation system, an energy saving effect estimation method and a program.

Air conditioners installed in properties such as office buildings and commercial facilities are operated, maintained and inspected by the air conditioners or property managers. Such a manager provides the customer who owns the property with a license for energy-saving control of the air conditioner or expansion of the function of the air conditioner for a fee. For example, an air conditioner manager may recommend that a customer obtain a license for energy-saving control of an air conditioner.

However, since the energy-saving control is not performed before the license for the energy-saving control of the air conditioner is obtained, it is not possible to obtain the energy-saving effect obtained when the energy-saving control is executed. For this reason, there is a problem that the customer cannot determine whether or not to obtain a license.

On the other hand, the manager of the air conditioner can collect the air conditioning data of the air conditioner because the maintenance is performed even if the customer does not have the license for the energy saving control. From the air conditioning data, the feature amount of the air conditioning target space can be obtained. For example, Patent Document 1 discloses a technique for measuring the heat load amount of the air conditioning target space in which the air conditioner is installed.

International Publication No. 2014/162509

However, with the above-mentioned conventional technology, although the feature amount of the air-conditioned space can be known, it is not possible to know the energy-saving effect obtained when the air conditioner installed in the customer's property is subjected to energy-saving control. ..

The present invention has been made in view of the above problems, and is an energy-saving effect estimation device capable of estimating the energy-saving effect obtained when energy-saving control is performed on an air conditioner installed in a specific property. , The purpose is to provide an energy saving effect estimation system, an energy saving effect estimation method and a program.

In order to achieve the above object, the energy saving effect estimation device according to the present invention is used.
A heat load feature acquisition means for acquiring the heat load features calculated for the plurality of properties based on air conditioning data collected from air conditioners installed in the plurality of properties.
Among the plurality of properties, the property that implements energy-saving control for the air conditioner acquires a value indicating the energy-saving effect of the energy-saving control, and the heat load feature of the property that implements the energy-saving control. By comparing the amount with the heat load feature amount of the property for which the energy saving control is not implemented, the energy saving control is implemented from the value indicating the energy saving effect of the property for which the energy saving control is implemented. It is equipped with an energy saving effect estimation means for calculating an estimated value of the energy saving effect in a property that does not exist.

According to the present invention, an energy-saving effect estimation device, an energy-saving effect estimation system, and an energy-saving effect estimation capable of estimating the energy-saving effect obtained when energy-saving control is performed on an air conditioner installed in a specific property. Methods and programs can be provided.

Block diagram of the energy saving effect estimation system according to the embodiment Block diagram showing the hardware configuration of the energy saving effect estimation device according to the embodiment Block diagram showing the hardware configuration of the air conditioner according to the embodiment Block diagram showing the hardware configuration of the terminal device according to the embodiment Block diagram showing the functional configuration of the energy saving effect estimation device according to the embodiment The figure which shows the example of the air-conditioning data which concerns on embodiment The figure which shows the example of the data of the heat load feature amount which concerns on embodiment The figure which shows the example of the property data which concerns on embodiment The figure which shows the example of the data of the power consumption reduction rate which concerns on embodiment The figure which shows the example of the classification result of the property which concerns on embodiment Block diagram showing the functional configuration of the terminal device according to the embodiment The figure which shows the example of the image displayed on the screen of the terminal apparatus which concerns on embodiment. A flowchart showing a heat load feature amount calculation process executed by the energy saving effect estimation device according to the embodiment. A flowchart showing the energy saving effect calculation process executed by the energy saving effect estimation device according to the embodiment. A flowchart showing the energy saving effect presentation process executed by the energy saving effect estimation system according to the embodiment. A flowchart showing the property classification process executed by the energy saving effect estimation device according to the embodiment. A flowchart showing the energy saving effect estimation process executed by the energy saving effect estimation device according to the embodiment.

(Embodiment)
The energy-saving effect estimation system 1 according to the embodiment is a system capable of estimating the energy-saving effect obtained when energy-saving control is performed in a property in which energy-saving control is not performed on the air conditioner. As shown in FIG. 1, the energy-saving effect estimation system 1 includes an energy-saving effect estimation device 100 that estimates the energy-saving effect, and air conditioners 200-1, ..., 200-i (i:) installed in a plurality of properties. It includes a natural number of 2 or more) and a terminal device 300 that presents an estimated energy saving effect. In the following, unless a specific air conditioner is described, the air conditioners 200-1, ..., 200-i are collectively referred to as an air conditioner 200.

The energy saving effect estimation device 100 communicates with the air conditioners 200 installed in a plurality of properties via the network 400-1. Properties are, for example, office buildings, commercial facilities, and condominiums. Further, the energy saving effect estimation device 100 communicates with the terminal device 300 via the network 400-2. The energy saving effect estimation device 100 collects air conditioning data described later from the air conditioner 200, and estimates the energy saving effect based on the collected air conditioning data. Further, the energy saving effect estimated value 100 transmits the estimated value of the energy saving effect for the property according to the request to the terminal device 300 in response to the request from the terminal device 300.

The air conditioner 200 is an air conditioner installed in a plurality of properties. For example, the air conditioner 200-1 is installed in the property A, and the air conditioner 200-2 is installed in the air conditioner 200 in the property B. Further, the air conditioner 200 includes an indoor unit, an outdoor unit, and an air conditioning control device, respectively. For example, the air conditioner 200-1 includes an indoor unit 210-1, ..., 210-m1 (natural number of m1: 1 or more) and an outdoor unit 220-1, ..., 220-n1 (n1: 1). The above natural number) and the air conditioning control device 230 are provided. The air conditioner 200-i includes indoor units 210-1, ..., 210-mi (natural numbers of mi: 1 or more) and outdoor units 220-1, ..., 220-ni (ni: 1). The above natural number) and the air conditioning control device 230 are provided. The air conditioning control device 230 of the air conditioner 200 transmits the air conditioning data to the energy saving effect estimation device 100. In the following, the indoor units included in each of the air conditioners 200 are collectively referred to as indoor units 210, and the outdoor units included in each of the air conditioners 200 are collectively referred to as outdoor units 220.

The property in which the air conditioner 200 is installed includes a property for which a license for carrying out energy saving control is obtained for the air conditioner 200 and a property for which a license for carrying out energy saving control is not obtained. .. The license for implementing the energy-saving control is obtained by the customer from the manager of the air conditioner 200. The customer is typically the owner of the property. In the following, the customer will be described as the owner of the property. The manager of the air conditioner 200 is a person who provides services such as operation control and maintenance / inspection of the air conditioner, and has a maintenance contract with the customer. Therefore, the manager of the air conditioner 200 can collect the air conditioning data of the air conditioner 200 installed in the customer's property. The manager of the air conditioner 200 may be the manager of the entire property.

Here, the energy saving control is a control for suppressing the electric power consumed by the air conditioner 200, and includes, for example, a rotation control and a capacity saving control. Rotation control is an arbitrary method in which a plurality of indoor units 210 in a certain property are regarded as one group, and at least one indoor unit in the group is stopped, blown, and power consumption is suppressed by setting the temperature upward or downward. It refers to the control of rotating the indoor unit 210 that changes the operation content and changes the operation content at specified time intervals such as 3 minutes, 6 minutes, 9 minutes, and 15 minutes within the group. Further, the capacity save control is a control that limits the maximum value of the capacity such as the compressor frequency of the outdoor unit 220. For example, when the capacity save rate is 80%, the outdoor unit 220 has the maximum capacity. It only works up to 80%. In addition, the energy-saving control includes various controls for suppressing power consumption, such as a control in consideration of the installation position of the air conditioner 200, such as raising or lowering the set temperature of the air conditioner 200 on the corridor side.

The terminal device 300 is a device that receives an instruction requesting the presentation of the estimated value of the energy saving effect and presents the estimated value of the energy saving effect. The terminal device 300 is, for example, a personal computer, a smartphone, a tablet terminal, or the like.

The networks 400-1 and 400-2 are wireless or wired communication networks, such as the Internet, an intranet, an extranet, a LAN (Local Area Network), a VPNN (Virtual Private Network), and a telephone line network.

Next, the hardware configuration of the energy saving effect estimation device 100 will be described with reference to FIG. The energy saving effect estimation device 100 stores a processor 11 that performs processing for obtaining an estimated value of the energy saving effect, a main storage unit 12 used as a work area of the processor 11, and various data used for processing of the processor 11. It has an auxiliary storage unit 13, a communication unit 14 for communicating with an external device, and an RTC (Real Time Clock) 15 for measuring time. The main storage unit 12, the auxiliary storage unit 13, the communication unit 14, and the RTC 15 are all connected to the processor 11 via the bus 16.

The processor 11 includes a CPU (Central Processing Unit). The processor 11 realizes various functions of the energy saving effect estimation device 100 by executing a program stored in the auxiliary storage unit 13.

The main storage unit 12 includes a RAM (Random Access Memory). A program is loaded into the main storage unit 12 from the auxiliary storage unit 13. Then, the main storage unit 12 is used as a work area of the processor 11.

The auxiliary storage unit 13 includes a non-volatile memory represented by an EEPROM (Electrically Erasable Programmable Read-Only Memory). The auxiliary storage unit 13 stores various data used in the processing of the processor 11 in addition to the program. The auxiliary storage unit 13 supplies the data used by the processor 11 to the processor 11 according to the instruction of the processor 11, and stores the data supplied from the processor 11.

The communication unit 14 includes a network interface circuit for communicating with an external device. The communication unit 14 receives a signal from an external device and outputs the data indicated by this signal to the processor 11. Further, the communication unit 14 transmits a signal indicating the data output from the processor 11 to an external device.

The RTC15 is a timekeeping device provided with an oscillation circuit using a crystal oscillator. The RTC 15 has a built-in battery, for example, and continues timing even while the power of the energy saving effect estimation device 100 is off.

Next, the hardware configuration of the air conditioner 200 will be described with reference to FIG. The air conditioner 200 includes an indoor unit 210 installed inside the property, an outdoor unit 220 installed outside the property, and an air conditioning control device 230 that controls the indoor unit 210 and the outdoor unit 220.

The indoor unit 210 includes a heat exchanger 211 that functions as a condenser that condenses the refrigerant or an evaporator that evaporates the refrigerant, a fan 212 that takes in indoor air, and a wind direction control plate 213 for adjusting the direction of the blown air. A temperature sensor 214 for measuring the temperature in the room and a humidity sensor 215 for measuring the humidity in the room are provided.

The heat exchanger 211 functions as an evaporator during the cooling operation and as a condenser during the heating operation. The heat exchanger 211 exchanges heat between the air taken in by the fan 212 and the refrigerant flowing through the heat exchanger 211.

The fan 212 takes in the air in the room from the suction port and blows out the air heat-exchanged by the heat exchanger 211 from the air outlet. As the fan 212, for example, a sirocco fan, a turbo fan, or the like is adopted.

The wind direction control plate 213 adjusts the direction of the air whose temperature is adjusted by its inclination, that is, the wind direction.

The temperature sensor 214 detects the temperature in the room, which is the space to be air-conditioned. For example, the temperature sensor 214 detects the temperature of the air sucked from the suction port of the indoor unit 210.

The humidity sensor 215 detects the humidity in the room, which is the space subject to air conditioning.

The outdoor unit 220 includes a heat exchanger 221 that functions as a condenser that condenses the refrigerant or an evaporator that evaporates the refrigerant, a fan 222 that takes in air from the outside, and a temperature sensor 223 that measures the temperature outside the room.

The heat exchanger 221 functions as a condenser during the cooling operation and as an evaporator during the heating operation. The heat exchanger 221 exchanges heat between the air taken in by the fan 222 and the refrigerant flowing through the heat exchanger 221.

The fan 222 takes in the outdoor air from the suction port and blows out the heat exchanged air by the heat exchanger 221 from the air outlet.

The temperature sensor 223 detects the outdoor temperature outside the air-conditioned space.

The air-conditioning controller 230 assists in storing a processor 231 that performs processing for controlling the air conditioner 200, a main storage unit 232 that is used as a work area of the processor 231 and various data used for processing of the processor 231. It has a storage unit 233, a communication unit 234 for communicating with an external device, an RTC 235 for measuring time, and a power meter 236 for measuring the power consumed by the air conditioner 200. The main storage unit 232, the auxiliary storage unit 233, the communication unit 234, the RTC 235, and the power meter 236 are all connected to the processor 231 via the bus 237.

The processor 231, the main storage unit 232, the auxiliary storage unit 233, the communication unit 234, and the RTC 235 have the same functions as the processor 11, the main storage unit 12, the auxiliary storage unit 13, the communication unit 14, and the RTC 15, respectively.

The power meter 236 measures the electric power supplied to the air conditioner 200 via the power line. Processor 231 calculates the amount of power in a unit period based on the measured power. The calculated electric energy is transmitted to the energy saving effect estimation device 100 via the communication unit 234.

Next, the hardware configuration of the terminal device 300 will be described with reference to FIG. The terminal device 300 includes a processor 31 that performs processing according to input from a user, a main storage unit 32 that is used as a work area of the processor 31, and an auxiliary storage unit 33 that stores various data used for processing of the processor 31. It has a communication unit 34 for communicating with an external device, an input unit 35 for acquiring information input by the user, an output unit 36 for presenting various information to the user, and an RTC 37 for measuring time. The main storage unit 32, the auxiliary storage unit 33, the communication unit 34, the input unit 35, the output unit 36, and the RTC 37 are all connected to the processor 31 via the bus 38.

The processor 31, the main storage unit 32, the auxiliary storage unit 33, the communication unit 34, and the RTC 37 have the same functions as the processor 11, the main storage unit 12, the auxiliary storage unit 13, the communication unit 14, and the RTC 15, respectively.

The input unit 35 includes an input device such as an input key and a pointing device. The input unit 35 acquires the information input by the user and notifies the processor 31 of the acquired information.

The output unit 36 includes an output device such as an LCD (Liquid Crystal Display) and a speaker. The output unit 36 may form a touch screen integrally formed with the pointing device constituting the input unit 35. The output unit 36 presents various information to the user according to the instruction of the processor 31.

Next, the function of the energy saving effect estimation device 100 will be described with reference to FIG. Functionally, the energy-saving effect estimation device 100 uses a collecting unit 101 that collects air-conditioning data from the air conditioner 200, an air-conditioning data storage unit 102 that stores air-conditioning data, and a heat load feature amount of the property using the air-conditioning data. The heat load feature amount calculation unit 103 that calculates the heat load feature amount, the heat load feature amount storage unit 104 that stores the heat load feature amount, the energy saving effect calculation unit 105 that calculates the value indicating the energy saving effect using the air conditioning data, and the energy saving effect. The energy-saving effect storage unit 106 that stores the value indicating the energy-saving effect, the property classification unit 107 that classifies the properties in which the air conditioner 200 is installed, and the energy-saving effect estimation unit 108 that estimates the value indicating the energy-saving effect are provided.

The collecting unit 101 periodically collects air conditioning data from the air conditioners 200 installed in a plurality of properties. The collecting unit 101 is realized by the cooperation of the processor 11 and the communication unit 14. The collecting unit 101 is an example of collecting means.

The air conditioning data is information including set values such as a set temperature and an operation mode set in the air conditioner 200, and measured values measured and calculated by the air conditioner 200.

Further, "collecting periodically" means that the collecting unit 101 repeatedly collects the air conditioning data, and the collecting interval is not limited to a constant value. The interval is arbitrarily determined by the administrator of the energy saving effect estimation device 100. The intervals may be set according to predetermined rules or may be set to irregular values.

The collecting unit 101 writes the collected air conditioning data in the air conditioning data storage unit 102. FIG. 6 shows an example of air conditioning data stored by the air conditioning data storage unit 102.

The table of FIG. 6 is, for example, air conditioning data collected from the air conditioner 200-1. The air conditioner ID of the air conditioner 200-1 is set to "00001". The air conditioning data storage unit 102 registers the air conditioning data of all the air conditioners 200 that are connected to the energy saving effect estimation device 100 and are permitted to collect the air conditioning data. A table of air conditioning data such as 6 is stored. In this embodiment, air conditioning data is collected every minute. In the table of FIG. 6, the date and time when the air conditioning data was collected, the set temperature set in the air conditioner, the suction temperature of the air sucked from the suction port of the indoor unit 210, and the operating state of the air conditioner 200 are displayed. The outside temperature measured by the temperature sensor 223 of the outdoor unit 220, the control content of the air conditioner 200, the operation mode of the air conditioner 200, and the power consumption of the air conditioner 200 are registered in association with each other. ing.

The operating state includes "thermo-on" indicating the operating state when the room temperature does not reach the set temperature, "thermo-off" indicating the operating state when the room temperature reaches the set temperature, and before shifting to the operating state of the thermo-on. Suppose there is "in preparation" that indicates the operating status of. Further, it is assumed that the control contents include "normal", "energy saving control 1", "energy saving control 2", and "energy saving control 3". The “normal” control content indicates an air-conditioning control that is not air-conditioned to obtain an energy-saving effect. Further, "energy saving control 1", "energy saving control 2", and "energy saving control 3" indicate air conditioning control capable of obtaining an energy saving effect. In the air conditioning data of the air conditioner 200 installed in a property that has not obtained a license for energy-saving control, only "normal" is described in the control content column. The power consumption is the power measured by the power meter 236, and indicates the power consumed by the air conditioner 200 in a predetermined unit period. In the present embodiment, the unit period is 1 minute, which is the amount of electric power measured in the most recent 1 minute on the date and time when the air conditioning data was collected.

The record in the first row of the table in FIG. 6 collects air conditioning data at "14:00 on August 26, 2019", the set temperature of the air conditioner 200-1 is "26 ° C", and the suction temperature is "". 26.5 ℃ ”, the operating condition is“ Thermoon ”, the outside temperature outside the air conditioning target space of the air conditioner 200-1 is“ 28.2 ℃ ”, the control content of the air conditioner 200-1 is“ normal ”, and the operation The mode is "cooling" and the power consumption is "0.3kWh".

The heat load feature calculation unit 103 of FIG. 5 calculates the heat load feature of the property in which the air conditioner 200 is installed based on the air conditioning data, and writes it in the heat load feature storage unit 104 as described later. .. Further, the heat load feature amount calculation unit 103 acquires the calculated heat load feature amount from the heat load feature amount storage unit 104. The heat load calculation process, which will be described later, performed by the heat load feature amount calculation unit 103 may be performed at the same timing as the collection process performed by the collection unit 101, or may be performed at different timings. For example, the collecting unit 101 collects air conditioning data every minute, and the heat load feature calculation unit 103 calculates the heat load feature every hour based on the collected air conditioning data. Alternatively, the heat load feature amount calculation unit 103 performs the heat load feature amount calculation process according to the operation of the administrator of the energy saving control estimation device 100. The heat load feature amount calculation is realized by the processor 11. The heat load feature amount calculation unit 103 is an example of a heat load feature amount acquisition means and a heat load feature amount calculation means.

The heat load feature amount calculation unit 103 first classifies the air conditioning data of each air conditioner 200 for each operating state. Next, the heat load feature amount calculation unit 103 classifies the air conditioning data classified for each operating state for each outside temperature zone at predetermined intervals. Then, the heat load feature amount calculation unit 103 obtains the difference obtained by subtracting the set temperature from the suction temperature of the air conditioner 200 for each of the classified air conditioning data, and obtains the average value for each outside temperature zone. Further, the heat load feature calculation unit 103 obtains the average value of the differences obtained for each outside temperature zone for each operating state, and uses this as the heat load feature of the property in which the air conditioner 200 is installed. .. That is, the heat load feature of the property is a multidimensional vector represented by k heat load features, where k is the number of operating states. As will be described later, the heat load feature amount is an index used when determining the degree of similarity between properties.

Taking the table of FIG. 6 as an example, the heat load feature amount calculation unit 103 first classifies the air conditioning data according to the operating states of "thermo-on", "thermo-off", and "preparing". Next, the heat load feature amount calculation unit 103 further applies the air conditioning data classified for each exercise state to 0 ° C. to 5 ° C., 6 ° C. to 10 ° C., ..., 36 ° C. to 40 ° C. Air-conditioning data is classified according to the outside temperature zone set at 5 ° C intervals. The heat load feature amount calculation unit 103 obtains the difference obtained by subtracting the set temperature from the suction temperature at intervals at which the collection unit 101 collects the air conditioning data, that is, every minute for the air conditioning data classified for each outside air temperature zone. , Calculate the average value for each outside temperature zone. Hereinafter, this value is referred to as an outside temperature zone heat load feature amount. When there are eight outside temperature zones, eight outside temperature zone heat load features are obtained. Then, the heat load feature amount calculation unit 103 further obtains an average value of the heat load feature amount in the outside temperature zone, and writes this as the heat load feature amount for each operating state in the heat load feature amount storage unit 104. The interval between the outside temperature zones can be arbitrarily set by the administrator of the energy saving effect estimation device. Further, the interval of the air conditioning data for which the difference is required may be changed to 30 seconds, 5 minutes, 10 minutes or the like according to the interval at which the collecting unit 101 collects the air conditioning data. FIG. 7 shows an example of heat load feature data stored in the heat load feature storage unit 104.

The table of FIG. 7 shows an air conditioner ID for identifying the air conditioner 200, an operating state of the air conditioner 200, an outside temperature zone, an outside temperature zone heat load feature amount, and a heat load feature amount. , Are registered in association with each other. Data for all the air conditioners 200 for which air conditioning data is collected are registered in this table. In the record of the air conditioner 200 in which the heat load feature amount and the heat load feature amount in the outside temperature zone are not calculated, the columns of the heat load feature amount and the heat load feature amount in the outside temperature zone are blank.

For example, the first row of the table in FIG. 7 shows the heat in the outside temperature zone when the air conditioner with the air conditioner ID “00001” is in the operating state of “Thermoon” and the outside temperature zone is “0 ° C to 5 ° C”. It is shown that the load feature amount is "+ 0.3 ° C" and the heat load feature amount in the operating state of "Thermoon" is "+ 0.4 ° C".

The energy saving effect calculation unit 105 of FIG. 5 calculates a value indicating the energy saving effect by controlling the air conditioner 200 for energy saving based on the air conditioning data collected by the collecting unit 101. Hereinafter, a value indicating an energy saving effect due to energy saving control of the air conditioner 200 is referred to as an "energy saving effect value". Here, the air conditioner 200 for which the energy saving effect value is calculated is limited to the one installed in the property in which the property owner has obtained the energy saving control license and the energy saving control is introduced. The energy saving effect calculation unit 105 writes the calculated energy saving effect value in the energy saving effect storage unit 106 as described later. Further, the energy saving effect calculation unit 105 acquires the energy saving effect value from the energy saving effect storage unit 106. The energy saving effect calculation unit 105 is realized by the processor 11. The energy saving effect calculation unit 105 is an example of the energy saving effect calculation means.

The air conditioning data storage unit 102 stores a table of property data showing the correspondence between the property and the air conditioner 200 installed in the property. FIG. 8 shows an example of a table showing property data.

The table of FIG. 8 shows a property ID for identifying a property, an air conditioner ID for identifying an air conditioner 200, and an energy saving control license indicating whether or not an energy saving control license has been acquired for the property. Presence / absence information and presence / absence information are registered in association with each other. The presence / absence information “Yes” of the energy-saving control license indicates that the owner of the property has obtained the license for the energy-saving control of the air conditioner 200 and can control the air conditioner 200 in an energy-saving manner. Further, the presence / absence information “none” of the energy-saving control license indicates that the owner of the property has not obtained the license for the energy-saving control of the air conditioner 200, and the air conditioner 200 cannot be controlled for energy-saving.

For example, in the first row of the table of FIG. 8, the air conditioner 200 of the air conditioner ID “00001” is installed in the property of the property ID “A”, and the air conditioner 200 of the air conditioner ID “00001” is installed. The machine 200 shows that energy-saving control is possible. Further, in the fourth row of the table of FIG. 8, the air conditioner 200 of the air conditioner ID “000010” is installed in the property of the property ID “X”, and the air conditioner 200 of the air conditioner ID “000010” is installed. The machine 200 indicates that the energy saving control cannot be performed.

First, the energy-saving control effect calculation unit 105 is associated with the air conditioner 200 capable of calculating the energy-saving effect value by referring to the property data of FIG. 8, that is, the presence / absence information “yes” of the energy-saving control license. Identify the air conditioner ID that is present. The energy saving effect calculation unit 105 refers to the air conditioning data stored in the air conditioning data storage unit 102 and associated with the specified air conditioner ID, and refers to the air conditioner 200 for each outside temperature zone and each operation mode. The average power consumption when the normal control is performed and the average power consumption when the energy saving control is performed are obtained. Next, the energy saving effect calculation unit 105 obtains the energy saving effect value for each outside temperature zone and each operation mode.

In this embodiment, the energy saving effect value is defined as the power consumption reduction rate. Using the average power consumption during normal control and the average power consumption during energy saving control, the power consumption reduction rate is obtained based on the following (Equation 1).

Power consumption reduction rate (%) = (1-Average power consumption during energy saving control / Average power consumption during normal control) x 100 ... (Equation 1)

Then, the energy saving effect calculation unit 105 further obtains the average value of the power consumption reduction rate obtained for each outside temperature zone and each operation mode for each operation mode. The average value of the obtained power consumption reduction rate is taken as the power consumption reduction rate obtained by the energy saving control.

Specifically, the energy saving effect calculation unit 105 determines the power consumption of the air conditioning data whose control content in the table of FIG. 6 is "normal", such as 0 ° C to 5 ° C, ..., 36 ° C to 40 ° C. Calculate the average value for each outside temperature zone at 5 ° C intervals and for each operation mode of "cooling" and "heating". Further, the energy saving effect calculation unit 105 has the control contents of the table of FIG. 6 for each of the above-mentioned outside temperature zones and operation modes for each of the air conditioning data of "energy saving control 1", "energy saving control 2", and "energy saving control 3". To find the average value of power consumption.

Next, the energy saving effect calculation unit 105 obtains the power consumption reduction rate for each of the "energy saving control 1", "energy saving control 2", and "energy saving control 3" for each of the above-mentioned outside temperature zones and operation modes. For example, for "energy saving control 1", the outside temperature zone is 0 ° C to 5 ° C and the power consumption reduction rate of the operation mode "cooling" is 0 ° C to 5 ° C and the operation mode of "energy saving control 1". Using the average power consumption of "cooling", the "normal" outside temperature range of 0 ° C to 5 ° C, and the average power consumption of the operation mode "cooling", it is calculated according to (Equation 1). The energy saving effect calculation unit 105 obtains the power consumption reduction rate for each of the "energy saving control 1", "energy saving control 2", and "energy saving control 3" for each of the above-mentioned outside temperature zones and operation modes, and then further. , Calculate the average for each operation mode. That is, the energy saving effect calculation unit 105 sets the power consumption reduction rate of the outside temperature range "0 ° C to 5 ° C" of the "energy saving control 1" and the "energy saving control 1" for each of the operation modes "cooling" and "heating". The average value of the power consumption reduction rate of the outside temperature zone "6 ° C to 10 ° C", ..., and the power consumption reduction rate of the outside temperature zone "36 ° C to 40 ° C" of "energy saving control 1" was calculated and obtained. Each of the values is the power consumption of the air conditioner 200 of the air conditioner ID "00001" during the "cooling" operation of the "energy saving control 1" and the power consumption of the "heating" operation of the "energy saving control 1". To do. The energy saving effect calculation unit 105 writes the obtained power consumption reduction rate in the energy saving effect storage unit 106. FIG. 9 shows an example of data of the power consumption reduction rate stored in the energy saving effect storage unit 106.

In the table of FIG. 9, the air conditioner ID for identifying the air conditioner 200, the control name of the energy-saving control, the operation mode, and the power consumption reduction rate achieved by the energy-saving control are associated with each other. It is registered.

For example, in the first row of the table in FIG. 9, when the air conditioner with the air conditioner ID "00001" is air-conditioned with "energy saving control 1" and the operation mode is "cooling", it is "normal". It shows that the power consumption is reduced by "5%" as compared with the case where the air conditioning control is performed.

The property classification unit 107 of FIG. 5 refers to the heat load feature data stored in the heat load feature storage unit 104 and the property data stored in the air conditioning data storage unit 102 to form one or more clusters of properties. Classify. The property classification unit 107 is realized by the processor 11. The property classification unit 107 is an example of property classification means.

Specifically, the property classification unit 107 refers to the heat load feature data of FIG. 7 and the property data of FIG. 8, and obtains the heat load feature data for each operating state of the air conditioner 200 for the property. Acquire as data showing features. For example, the feature amount of the property A is the heat load feature amount "+0.4" of "Thermoon" of the air conditioner ID "00001", the heat load feature amount "-0.3" of "Thermooff", and "Preparing". It is assumed that the heat load feature amount of is "+0.6". The property classification unit 107 obtains the degree of similarity between properties based on the feature amount of the property.

The property classification unit 107 first considers one property as one cluster and calculates the number of clusters. If the number of clusters is greater than a predetermined threshold, the clusters are joined based on the similarity between the clusters. The similarity between clusters is, for example, the Euclidean distance of heat load features between properties included in the cluster, and the shorter the Euclidean distance, the greater the similarity. The property classification unit 107 obtains the similarity between the two clusters, and combines the cluster pair having the highest similarity into one cluster. If the number of clusters after joining is larger than the threshold value, the similarity between the clusters after joining is further obtained, and the clusters are joined.

The degree of similarity is arbitrarily determined by the administrator of the energy saving effect estimation device. For example, among the Euclidean distances between the heat load feature of the property included in cluster 1 and the heat load feature of the property included in cluster 2, the smallest or largest Euclidean distance is defined as cluster 1 and cluster 2. The Euclidean distance between the center of gravity of cluster 1 and the center of gravity of cluster 2 may be set as the degree of similarity between cluster 1 and cluster 2. Also, from the sum of the squares of the Euclidean distance between the center of gravity of cluster 1 and the heat load feature of the property included in cluster 1, the square of the Euclidean distance between the center of gravity of cluster 2 and the heat load feature of the property included in cluster 2. The value obtained by subtracting the sum may be used as the degree of similarity between cluster 1 and cluster 2. It may be defined by the internal product of the thermal load features of the property between clusters.

The property classification unit 107 ends the property classification when the number of clusters becomes equal to or less than a predetermined threshold value. For example, suppose that a property having an air conditioner in which the threshold value of the number of clusters is set to "3" and the heat load feature amount data of FIG. 7 is required is classified into cluster 1, cluster 2, and cluster 3. , The property classification unit 107 ends the classification. An example of the classification result is shown in FIG.

FIG. 10 shows the results of classifying properties based on the heat load feature amount obtained for each of the operating states of “thermo-on”, “thermo-off”, and “preparing”. In the example of FIG. 10, the property A and the property X are classified into the cluster 1, and the property B is classified into the cluster 2.

The energy saving effect estimation unit 108 of FIG. 5 implements energy saving control by comparing the heat load feature amount of the property for which energy saving control is implemented and the heat load feature amount of the property for which energy saving control is not implemented. Calculate the estimated value of the energy saving effect in the property that is not. The estimated value of the energy saving effect in the property that does not implement the energy saving control is called the "estimated value of the energy saving effect". The energy saving effect estimation unit 108 calculates the energy saving effect estimation value of the designated property based on the operation by the administrator of the energy saving effect estimation device 100 or the operation by the user of the terminal device 300 as described later. The energy saving effect estimation unit 108 is realized by the processor 11. The energy saving effect estimation unit 108 is an example of the energy saving effect estimation means.

Specifically, assuming that the property X is included in the cluster 1, the estimated value of the energy saving effect in the property X that does not implement the energy saving control is that the energy saving control is implemented other than the property X included in the cluster 1. Obtained based on the energy saving effect value of the property. For example, the energy saving effect estimation unit 108 uses the representative value of the power consumption reduction rate of the air conditioner 200 installed in the property in the cluster 1 as the energy saving effect estimation value of the property X. The representative value can be arbitrarily specified by the administrator of the energy saving effect estimation device 100, such as the average value, the median value, and the mode value in the cluster. For example, the average value of the power consumption reduction rate when "energy saving control 1", "energy saving control 2", and "energy saving control 3" are executed for the air conditioner 200 provided in the property in the cluster 1 during the heating operation. When are "5%", "10%", and "15%", respectively, the energy saving effect estimation unit 108 sets the "energy saving control 1" to the air conditioner 200 installed in the property X during the heating operation. , "Energy saving control 2" and "Energy saving control 3" are calculated as "5%", "10%", and "15%".

Next, the function of the terminal device 300 will be described with reference to FIG. The terminal device 300 includes a transmission unit 301 for transmitting a request for an estimated energy saving effect value, a receiving unit 302 for receiving a response including information on the estimated energy saving effect value, and a display unit 303 for displaying information on the estimated energy saving effect value. , Equipped with.

Based on the user's operation, the transmission unit 301 transmits to the energy saving effect estimation device 100 a request for obtaining the energy saving effect estimated value for the property for which the energy saving control is not performed for the air conditioner 200. The transmission unit 301 is realized by the cooperation of the processor 31, the communication unit 34, and the input unit 35. The transmission unit 301 is an example of transmission means.

For example, when a user who is in the business of acquiring a license for the owner of the property X who has not acquired the license for energy saving control performs an operation of obtaining an estimated value of the energy saving effect of the property X on the terminal device 300, The transmission unit 301 transmits a request for the energy-saving effect estimation value specified by the property X to the energy-saving effect estimation device 100.

The receiving unit 302 receives a response including information regarding the estimated value of the energy saving effect from the energy saving effect estimation device 100. The receiving unit 302 is realized by the cooperation of the processor 31 and the communication unit 34. The receiving unit 302 is an example of the receiving means.

For example, in the receiving unit 302, when "energy saving control 1", "energy saving control 2", and "energy saving control 3" are executed in the property X from the energy saving effect estimation device 100, the estimated energy saving effect values are "5%" and " Receive the data marked "10%" and "15%".

Further, the receiving unit 302 receives the information of the classification result classified by the property classification unit 107 from the energy saving effect estimation device 100.

For example, it receives information showing a three-axis graph shown in FIG.

The display unit 303 displays the energy saving effect estimated value and the classification result based on the data received by the receiving unit 302. As for the classification result, the data of each property is plotted on the multidimensional space. The display unit 303 is realized by the cooperation of the processor 31 and the output unit 36. The display unit 303 is an example of the display means.

FIG. 12 shows an example of an image displayed by the display unit 303. The image 310 includes an estimated value of the energy saving effect and a three-axis graph of the property classification result. In the 3-axis graph, different colors are added to each cluster.

Next, various processes executed by the energy-saving effect estimation device 100 and the energy-saving effect estimation system 1 according to the present embodiment will be described with reference to the flowchart.

First, the heat load feature calculation process executed by the heat load feature calculation unit 103 of the energy saving effect estimation device 100 according to the present embodiment will be described with reference to the flowchart of FIG. The energy saving effect estimation device 100 starts the heat load feature amount calculation process of FIG. 13 based on, for example, an operation from the administrator of the energy saving effect estimation device 100.

The heat load feature amount calculation unit 103 refers to the table of FIG. 7 stored in the heat load feature amount storage unit 104, and determines whether or not there is an air conditioner for which the heat load feature amount has not been calculated ( Step S101). When the heat load feature amount calculation unit 103 determines that there is an air conditioner for which the heat load feature amount has not been calculated (step S101; YES), the heat load feature amount calculation unit 103 has calculated the heat load feature amount. The air conditioner ID of the air conditioner that does not exist is specified, and the air conditioning data of the specified air conditioner ID is read from the air conditioning data storage unit 102 (step S102). On the other hand, when the heat load feature amount calculation unit 103 determines that there is no air conditioner for which the heat load feature amount has not been calculated (step S101; NO), the heat load feature amount calculation process ends.

The heat load feature amount calculation unit 103 classifies the read air conditioning data for each operating state (step S103). Next, the heat load feature amount calculation unit 103 classifies the air conditioning data classified for each operating state for each outside temperature zone (step S104). Then, the heat load feature amount calculation unit 103 obtains the difference obtained by subtracting the set temperature from the suction temperature for each interval at which the collection unit 101 collects the air conditioning data for the air conditioning data classified for each outside air temperature zone, and obtains the outside air temperature. The difference is averaged for each zone to obtain the heat load feature amount in the outside air temperature zone (step S105).

The heat load feature calculation unit 103 averages the heat load features in the outside temperature zone for each operating state to obtain the heat load features (step S106). The heat load feature calculation unit 103 registers the obtained heat load feature in the table of FIG. 7 stored in the heat load feature storage unit 104 in association with the record of the air conditioner ID specified in step S102. (Step S107).

Next, the energy-saving effect calculation process executed by the energy-saving effect calculation unit 105 of the energy-saving effect estimation device 100 according to the present embodiment will be described with reference to the flowchart of FIG. The energy-saving effect estimation device 100 starts the energy-saving effect calculation process of FIG. 14, for example, based on an operation from the administrator of the energy-saving effect estimation device 100.

First, the energy saving effect calculation unit 105 identifies the air conditioner ID of the property for which the energy saving control license has been acquired with reference to the property data table of FIG. 8, and air-conditions the air conditioning data of the specified air conditioner ID. Read from the data storage unit 102 (step S201).

The energy saving effect calculation unit 105 calculates the average power consumption of the air conditioner 200 during normal control for each outside temperature zone and each operation mode (step S202). Further, the heat load feature amount calculation unit 103 calculates the average power consumption of the air conditioner 200 at the time of energy saving control for each outside temperature zone and each operation mode (step S203). Next, the energy saving effect calculation unit 105 obtains the power consumption reduction rate for each outside temperature zone and each operation mode (step S204). Then, the energy saving effect calculation unit 105 registers the obtained power consumption reduction rate in association with the record of the air conditioner ID specified in step S201 in the table of FIG. 9 stored in the energy saving effect storage unit 106. (Step S205).

Next, the energy-saving effect presentation process executed by the energy-saving effect estimation system 1 according to the present embodiment will be described with reference to the flowchart of FIG. For example, when the user of the terminal device 300 activates the application for presenting the energy saving effect, the energy saving effect estimation system 1 starts the energy saving effect presenting process of FIG.

The energy-saving effect estimation device 100 determines whether or not a request for an estimated energy-saving effect value, which specifies a property for which energy-saving control has not been performed for the air conditioner 200, has been received from the terminal device 300 (step S301). .. When the energy saving effect estimation device 100 determines that the request has been received (step S301; YES), the property classification unit 107 starts the property classification process shown in FIG. 16 (step S302). On the other hand, when the energy saving effect estimation device 100 determines that the request has not been received (step S301; NO), it stands by as it is.

The property classification process executed by the property classification unit 107 of the energy saving effect estimation device 100 according to the present embodiment will be described with reference to the flowchart of FIG.

First, the property classification unit 107 plots each property having the heat load feature amount of the three operating states as the feature amount shown in FIG. 7 in a graph represented by the three axes of the operating state, and plots one property as one. It is regarded as one cluster (step S401). Next, the property classification unit 107 determines whether or not the number of clusters in the 3-axis graph exceeds a predetermined threshold value (step S402). When the property classification unit 107 determines that the number of clusters exceeds the threshold value (step S402; YES), the property classification unit 107 obtains the similarity between the clusters based on the heat load feature amount (step S403). On the other hand, when the property classification unit 107 determines that the number of clusters is equal to or less than the threshold value (step S402; NO), the property classification process ends.

The property classification unit 107 joins the cluster pair having the highest degree of similarity obtained into one cluster (step S404). Then, the process returns to step S402. The processing of steps S402, 403, and S404 is repeated until the number of clusters becomes equal to or less than the threshold value.

In the energy saving effect presentation process of FIG. 15, when the process of step S302 is completed, the energy saving effect estimation unit 108 starts the energy saving effect estimation process shown in FIG. 17 (step S303).

The energy-saving effect estimation process executed by the energy-saving effect estimation unit 108 of the energy-saving effect estimation device 100 according to the present embodiment will be described with reference to the flowchart of FIG.

The energy saving effect estimation unit 108 acquires the information of the property designated in step S301 (step S501). For example, if the user of the terminal device 300 specifies the property X, the energy saving effect estimation unit 108 acquires the information for identifying the property X. Then, the energy saving effect estimation unit 108 identifies the cluster to which the designated property belongs by referring to the property classification result, and among the other properties included in the specified cluster, the other property for which energy saving control is implemented. The representative value of the energy saving effect value of is calculated as the energy saving effect estimated value (step S502). For example, the energy saving effect estimation unit 108 identifies the cluster to which the property X belongs as the cluster 1, and refers to the table of FIG. 9, and sets the representative value of the power consumption reduction rate of the other properties included in the cluster 1 as the energy saving effect. Calculated as an estimated value. When the energy saving effect estimation value is calculated, the energy saving effect estimation unit 108 ends the energy saving effect estimation process.

In the energy saving effect presentation process of FIG. 15, when the process of step S303 is completed, the energy saving effect estimation device 100 transmits the energy saving effect estimated value and the property classification result to the terminal device 300 (step S304).

The terminal device 300 receives the energy saving effect estimated value and the property classification result from the energy saving effect estimation device 100, and displays the energy saving effect estimated value and the property classification result on the screen of the terminal device 300 (step). S305). The terminal device 300 displays, for example, the image 310 of FIG. 12 on the screen.

In order to implement energy-saving control of air conditioners in properties such as office buildings and commercial facilities, customers obtain a license from the manager of the air conditioner or introduce an air conditioner capable of energy-saving control. There is a need to. However, if the energy saving control is not actually performed, the energy saving effect of the energy saving control cannot be accurately grasped. In some cases, the energy saving effect is calculated from the catalog specifications, but the test conditions are often different from those of the customer's property, and in many cases it cannot be regarded as the energy saving effect of the customer's property.

However, according to the present embodiment, based on the air conditioning data collected from the air conditioner installed in the customer's property, the heat load characteristic amount in the property in which the air conditioner is installed is obtained, and energy saving control is performed. It is possible to estimate the energy-saving effect of the customer's property from the energy-saving effect value of the property whose heat load characteristic amount is similar to that of the customer's property. Thereby, it is possible to present a convincing value for the energy saving effect of the energy saving control. In addition, by showing the property classification results in a graph, the relationship between the customer's property and other properties can be shown relatively, and it is possible to visually judge whether or not the estimated value of the energy saving effect is appropriate. Can be shown.

(Modification example)
Although the embodiments of the present invention have been described above, various modifications and applications are possible in carrying out the present invention.

In the above embodiment, one air conditioner 200 is provided with one air conditioning control device 230, but the present invention is not limited to this. The air conditioner 200 may be provided with a plurality of air conditioning control devices 230. In that case, one of the plurality of air conditioning control devices 230 may be represented and the air conditioning data may be transmitted to the energy saving effect estimation device 100.

Further, in the above embodiment, an example in which one air conditioner 200 is provided in one property is shown, but the present invention is not limited to this. A configuration may include a plurality of air conditioners 200 in one property. In that case, the heat load feature amount and the power consumption reduction rate may be obtained as representative values for each property.

Further, in the above embodiment, the air conditioner 200 is provided with a power meter 236, but the present invention is not limited to this. The air conditioner 200 does not have a power meter 236, and the power consumption of the air conditioner 200 is measured by a power measuring device installed outside the air conditioner 200 and transmitted to the air conditioner 200. You may.

Further, in the above embodiment, the air conditioning data storage unit 102, the heat load feature amount storage unit 104, and the energy saving effect storage unit 106 are included in the energy saving effect estimation device 100, but are not limited thereto. These storage units may be provided on the cloud server.

Further, in the above embodiment, the heat load feature amount is determined for each of the three operating states of "thermo-on", "thermo-off", and "preparing", but the present invention is not limited to this. The operating state can be arbitrarily defined by the administrator of the energy saving effect estimation device 100, and the number of operating states may be any number. Further, the heat load feature amount may be obtained for each operating state and each outside temperature zone. That is, when the number of operating states is k and the number of outside temperature zones is j, the heat load feature amount of a certain air conditioner 200 may be represented by k × j heat load feature amounts. When the heat load feature is represented by a high-dimensional vector of 4 or more, for example, it is reduced to an arbitrary number of dimensions based on a dimensional compression method such as principal component analysis, and then the property classification result is displayed. May be good. As a result, the content of the classification result can be intuitively understood, and the cluster to which the property belongs can be presented in an easy-to-understand manner. The arbitrary number of dimensions may be specified by the administrator of the energy saving effect estimation device 100 or by the user of the terminal device 300.

Further, in the above embodiment, the heat load feature amount is obtained by using the difference obtained by subtracting the set temperature from the suction temperature, but the heat load feature amount is not limited to this. For example, the outside temperature zone heat load feature amount may be obtained by using the time derivative of the difference obtained by subtracting the set temperature from the suction temperature, and the average value of the obtained outside temperature zone heat load feature amount may be used as the heat load feature amount.

Further, in the above embodiment, the heat load feature amount calculation process of FIG. 13 and the energy saving effect calculation process of FIG. 14 are executed based on the operation of the administrator, but the present invention is not limited to this. For example, the heat load feature amount calculation process of FIG. 13 and the energy saving effect calculation process of FIG. 14 may be periodically executed at predetermined timings.

Further, in the above embodiment, the order of the steps of the energy saving effect calculation process executed by the energy saving effect calculation unit 105 is not limited to the order shown in FIG. 14, and the order of steps S202 and step S203 can be exchanged.

Further, in the above embodiment, the energy saving effect estimation device 100 and the air conditioner 200 are connected via the network 400-1, and the energy saving effect estimation device 100 and the terminal device 300 are connected via the network 400-2. , Not limited to this. The energy saving effect estimation device 100, the air conditioner 200, and the terminal device 300 may be connected to the same network.

Further, by applying an operation program that defines the operation of the energy saving effect estimation device 100 according to the above embodiment to an existing personal computer or information terminal device, the personal computer or information terminal device can be applied to the energy saving effect estimation device according to the embodiment. It is also possible to make it function as 100.

The distribution method of such a program is arbitrary, and is stored and distributed in a computer-readable recording medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), or a memory card. It may be distributed via a communication network such as the Internet.

The present invention allows for various embodiments and modifications without departing from the broad spirit and scope of the present invention. Moreover, 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 indicated not by the embodiment but by the claims. And various modifications made within the scope of the claims and within the equivalent meaning of the invention are considered to be within the scope of the present invention.

The present invention provides an energy-saving effect estimation device, an energy-saving effect estimation system, an energy-saving effect estimation method, and an energy-saving effect estimation device capable of estimating the energy-saving effect obtained when energy-saving control is performed on an air conditioner installed in a specific property. A program can be provided.

1 Energy saving effect estimation system 11,231,31 processor, 12,233,32 main memory, 13,233,33 auxiliary storage, 14,234,34 communication, 15,235,37 RTC, 16,237, 38 bus, 35 input unit, 36 output unit, 100 energy saving effect estimation device, 101 collecting unit, 102 air conditioning data storage unit, 103 heat load feature amount calculation unit, 104 heat load feature amount storage unit, 105 energy saving effect calculation unit, 106 Energy saving effect storage unit, 107 property classification unit, 108 energy saving effect estimation unit, 200, 200-1, ..., 200-i air conditioner, 210, 210-1, ..., 210-m1,210-mi Indoor unit, 220, 220-1, ..., 220-n1,220-ni outdoor unit, 211,221 heat exchanger, 212, 222 fan, 213 wind direction control plate, 214, 223 temperature sensor, 215 humidity sensor, 230 air conditioning control device, 236 power meter, 300 terminal device, 301 transmitter, 302 receiver, 303 display, 310 image, 400-1,400-2 network.

Claims (17)

A heat load feature acquisition means for acquiring the heat load features calculated for the plurality of properties based on air conditioning data collected from air conditioners installed in the plurality of properties.
Among the plurality of properties, the property that implements energy-saving control for the air conditioner acquires a value indicating the energy-saving effect of the energy-saving control, and the heat load feature of the property that implements the energy-saving control. By comparing the amount with the heat load feature amount of the property for which the energy saving control is not implemented, the energy saving control is implemented from the value indicating the energy saving effect of the property for which the energy saving control is implemented. An energy-saving effect estimation device equipped with an energy-saving effect estimation means for calculating an estimated value of an energy-saving effect in a property that does not exist. A collecting means for collecting the air conditioning data from the air conditioners installed in the plurality of properties, and
A heat load feature calculation means for calculating the heat load feature of the plurality of properties in which the air conditioner is installed based on the air conditioning data, and a heat load feature calculation means.
Among the plurality of properties, for a property in which energy saving control is performed on the air conditioner, an energy saving effect calculating means for calculating a value indicating the energy saving effect by the energy saving control based on the air conditioning data is further provided. The energy-saving effect estimation device according to claim 1. The air conditioning data includes a set temperature value of the air conditioner and a suction temperature value of the air conditioner.
The heat load feature amount calculating means calculates the heat load feature amount for each operating state of the air conditioner by using the value of the set temperature and the value of the suction temperature.
The energy saving effect estimation device according to claim 2. The heat load feature amount calculating means calculates the heat load feature amount for each outside air temperature when the air conditioning data is acquired by using the set temperature value and the suction temperature value.
The energy saving effect estimation device according to claim 3. Further provided with a property classification means for classifying the plurality of properties into one or more clusters based on the heat load feature amount.
The energy saving effect estimation means is a property included in a cluster including properties that do not implement the energy saving effect, and the representative value of a value indicating the energy saving effect of the property that implements the energy saving control is taken as the energy saving. Estimated value of energy saving effect of uncontrolled property,
The energy saving effect estimation device according to any one of claims 1 to 4. The property classification means
One property is regarded as one cluster, and when the number of the clusters exceeds the threshold value, the similarity between the clusters is calculated, and the cluster pair having the highest similarity is combined into one cluster.
Until the number of clusters including the combined cluster becomes a number equal to or less than the threshold value, the similarity between the clusters is obtained, and the combination of the clusters is repeated.
The energy saving effect estimation device according to claim 5. The similarity between the clusters is the Euclidean distance between the heat load feature of the property included in one cluster among the clusters and the heat load feature of the property included in the other cluster among the clusters. Of these, the smallest Euclidean distance,
The energy saving effect estimation device according to claim 6. The similarity between the clusters is the Euclidean distance between the heat load feature of the property included in one cluster among the clusters and the heat load feature of the property included in the other cluster among the clusters. Of these, the largest Euclidean distance,
The energy saving effect estimation device according to claim 6. The similarity between the clusters is the Euclidean distance between the centers of gravity of the heat load features between the clusters.
The energy saving effect estimation device according to claim 6. The similarity between the clusters is determined from the sum of the squares of the Euclidean distance between the center of gravity of the heat load feature of one of the clusters and the heat load feature of the property included in the one cluster. It is the value obtained by subtracting the sum of squares of the Euclidean distance between the center of gravity of the heat load feature of the other cluster and the heat load feature of the property included in the other cluster.
The energy saving effect estimation device according to claim 6. The energy-saving effect estimating means classifies the estimated value of the energy-saving effect of the property that does not implement the energy-saving control into the same cluster as the property that does not implement the energy-saving control, and the property that implements the energy-saving control. The average value, median value, or mode value that indicates the energy saving effect.
The energy saving effect estimation device according to any one of claims 5 to 10. The energy saving effect calculating means sets a value indicating the energy saving effect as a reduction rate of power consumption when the air conditioner is controlled for energy saving as compared with the time when the air conditioner is normally controlled.
The energy saving effect estimation device according to any one of claims 2 to 11. An air conditioner installed in a plurality of properties, an energy saving effect estimation device that estimates the energy saving effect obtained by controlling the air conditioner for energy saving, and a terminal device that displays the result of the estimated energy saving effect. In the energy saving effect estimation system to be prepared
The energy saving effect estimation device is
A collecting means for collecting air conditioning data from the air conditioner and
A heat load feature calculation means for calculating the heat load feature of the property in which the air conditioner is installed based on the air conditioning data, and a heat load feature calculation means.
Among the plurality of properties, the energy-saving effect calculation means for calculating the value indicating the energy-saving effect by the energy-saving control based on the air-conditioning data for the property for which the energy-saving control is performed on the air conditioner.
By comparing the heat load feature amount of the property that implements the energy saving control with the heat load feature amount of the property that does not implement the energy saving control, the property that implements the energy saving control It is equipped with an energy saving effect estimation means for calculating an estimated value of the energy saving effect in a property for which the energy saving control is not implemented from the value indicating the energy saving effect.
The terminal device is
A transmission means for transmitting a request for transmitting an estimated value of the energy saving effect of a property for which the energy saving control is not implemented to the energy saving effect estimation device, and
A receiving means for receiving the estimated value of the energy saving effect of the property for which the energy saving control according to the request is not implemented from the energy saving effect estimation device.
A display means for displaying the received estimated value of the energy saving effect is provided.
When the request is received from the terminal device, the energy saving effect estimation device causes the energy saving effect estimation means to calculate an estimated value of the energy saving effect of the property related to the request, and the calculated estimated value of the energy saving effect is calculated by the terminal device. Send to,
Energy saving effect estimation system. The heat load feature is a multidimensional vector represented by the heat load feature for each operating state of the air conditioner and for each outside temperature zone.
The energy saving effect estimation device further includes a property classification means for classifying the plurality of properties into one or more clusters based on the heat load feature amount.
The receiving means receives the information of the classification result by the property classification means, and receives the information.
The display means plots the heat load feature amount in a multidimensional space and gives a different color to each cluster based on the classification result.
The energy saving effect estimation system according to claim 13. The display means reduces the number of dimensions of the heat load feature amount to the number of dimensions specified by the user of the terminal device by principal component analysis, and plots the reduced number of dimensions in a multidimensional space.
The energy saving effect estimation system according to claim 14. The heat load feature acquisition means acquires the heat load features calculated for the plurality of properties based on the air conditioning data collected from the air conditioners installed in the plurality of properties.
The energy saving effect estimation means acquires a value indicating the energy saving effect by the energy saving control for the property for which the energy saving control is performed for the air conditioner among the plurality of properties, and implements the energy saving control. By comparing the heat load feature amount of the property with the heat load feature amount of the property not performing the energy saving control, the value indicating the energy saving effect of the property carrying the energy saving control can be obtained. Calculate the estimated value of the energy saving effect in the property that does not implement the energy saving control,
Energy saving effect estimation method. Computer,
A heat load feature acquisition means for acquiring the heat load features calculated for the plurality of properties based on the air conditioning data collected from the air conditioners installed in the plurality of properties.
Among the plurality of properties, the property that implements energy-saving control for the air conditioner acquires a value indicating the energy-saving effect of the energy-saving control, and the heat load feature of the property that implements the energy-saving control. By comparing the amount with the heat load feature amount of the property for which the energy saving control is not implemented, the energy saving control is implemented from the value indicating the energy saving effect of the property for which the energy saving control is implemented. It functions as an energy saving effect estimation means for calculating the estimated value of the energy saving effect in a property that does not exist.
program.

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