Air conditioning load prediction device and air conditioning load prediction method

Abstract

To provide an air conditioning load prediction device and method for easily predicting the air conditioning load of a target space. [Solution] An air conditioning load prediction device having a control unit, wherein the control unit acquires the measured air conditioning load of the air conditioners that provide air conditioning to the target space, acquires characteristic information of the target space, calculates the air conditioning load configuration of the target space based on the air conditioning load configuration ratio and measured air conditioning load of a typical building corresponding to the characteristic information, and predicts the air conditioning load of the target space at the expected outdoor temperature based on the air conditioning load configuration of the target space.

Description

Technical Field

[0001] The present disclosure relates to an air conditioning load prediction device and an air conditioning load prediction method.

Background Art

[0002] For example, a technique for calculating an external heat load flowing from the outside to the inside of a building and estimating an internal heat load from the difference between the external heat load and the heat load of air conditioning equipment estimated from the load current of the air conditioning equipment installed in the building has been conventionally known (see, for example, Patent Document 1). In Patent Document 1, the external heat load was calculated using data on building specifications (walls, glass, etc.).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In Patent Document 1, as data on building specifications, the external heat load is calculated using the gaps and heat insulation states of glass windows, interior and exterior walls, doors, etc., the concrete thickness, the size and orientation of windows, the orientation of the building itself, etc. The input of data on building specifications may be complicated. Also, data on building specifications may be difficult to obtain. Thus, the technique of Patent Document 1 may not be able to easily perform air conditioning load prediction.

[0005] An object of the present disclosure is to provide an air conditioning load prediction device and an air conditioning load prediction method that can easily perform air conditioning load prediction for a target space.

Means for Solving the Problems

[0006] A first aspect of the present disclosure is an air conditioning load prediction device having a control unit, wherein the control unit acquires the measured air conditioning load of an air conditioner that provides air conditioning to a target space, acquires characteristic information of the target space, calculates the air conditioning load configuration of the target space based on the air conditioning load configuration ratio of a typical building corresponding to the characteristic information and the measured air conditioning load, and predicts the air conditioning load of the target space at the expected outdoor temperature based on the air conditioning load configuration of the target space.

[0007] In the first aspect of this disclosure, the air conditioning load configuration of the target space used for air conditioning load prediction is calculated based on the air conditioning load configuration ratio of a representative building corresponding to the characteristic information of the target space and the actual measured air conditioning load of the target space. According to the first aspect of this disclosure, the air conditioning load prediction of the target space can be easily performed.

[0008] A second aspect of this disclosure is an air conditioning load prediction device according to the first aspect, wherein the air conditioning load configuration ratio includes the ratio of the building envelope load or the ratio of the outside air load, the air conditioning load configuration includes the building envelope load or the outside air load, and the control unit predicts the building envelope load or the outside air load at the expected outdoor temperature of the target space based on the ratio of the building envelope load or the ratio of the outside air load.

[0009] According to a second aspect of this disclosure, the envelope load or outside air load at the expected outdoor temperature of the target space can be easily predicted based on the ratio of the envelope load or the ratio of the outside air load.

[0010] A third aspect of the present disclosure is an air conditioning load prediction device according to the first or second aspect, wherein the control unit calculates a first coefficient proportional to the indoor-outdoor temperature difference of the target space based on the air conditioning load configuration of the target space, and predicts the air conditioning load at the expected outdoor temperature of the target space based on the first coefficient.

[0011] According to a third aspect of this disclosure, the air conditioning load at the expected outdoor temperature of the target space can be predicted based on a first coefficient that is proportional to the indoor-outdoor temperature difference of the target space.

[0012] A fourth aspect of the present disclosure is an air conditioning load prediction device according to any one of the first to third aspects, wherein the control unit calculates a second coefficient proportional to the indoor-outdoor enthalpy difference of the target space based on the air conditioning load configuration of the target space, and predicts the air conditioning load at the expected outdoor enthalpy of the target space based on the second coefficient.

[0013] According to a fourth aspect of this disclosure, the air conditioning load at the expected outdoor enthalpy of the target space can be predicted based on a second coefficient that is proportional to the difference in indoor and outdoor enthalpy of the target space.

[0014] A fifth aspect of this disclosure is an air conditioning load prediction device according to any one of the first to fourth aspects, wherein the control unit identifies the air conditioning load configuration ratio of a representative building corresponding to the characteristic information using information relating the characteristic information of the target space to the air conditioning load configuration ratio of a representative building.

[0015] According to a fifth aspect of this disclosure, by using information that associates characteristic information of a target space with the air conditioning load composition ratio of a representative building, the air conditioning load composition ratio of a representative building corresponding to the characteristic information of the target space can be identified.

[0016] A sixth aspect of this disclosure is an air conditioning load prediction device according to any one of the first to fifth aspects, wherein the characteristic information of the target space includes information about the region of the target space or information about the use of the target space.

[0017] In a sixth aspect of this disclosure, information about the area of ​​the target space or information about the use of the target space can be used as identifying information for the target space.

[0018] A seventh aspect of this disclosure is an air conditioning load prediction device according to any one of the first to sixth aspects, wherein the control unit selects an air conditioner capable of processing the predicted air conditioning load.

[0019] According to a seventh aspect of this disclosure, an air conditioner capable of handling the air conditioning load at the predicted outdoor temperature of the predicted target space can be selected.

[0020] The eighth aspect of the present disclosure is an air conditioning load prediction method executed by an air conditioning load prediction device having a control unit. The control unit acquires the measured air conditioning load of an air conditioner that performs air conditioning in a target space, acquires the characteristic information of the target space, calculates the air conditioning load composition of the target space based on the air conditioning load composition ratio of a representative building corresponding to the characteristic information and the measured air conditioning load, and predicts the air conditioning load at the predicted outdoor temperature of the target space based on the air conditioning load composition of the target space.

[0021] In the eighth aspect of the present disclosure, the air conditioning load composition of the target space used for air conditioning load prediction is calculated based on the air conditioning load composition ratio of a representative building corresponding to the characteristic information of the target space and the measured air conditioning load of the target space. According to the eighth aspect of the present disclosure, the air conditioning load prediction of the target space can be easily performed.

Brief Description of the Drawings

[0022] [Figure 1] It is a configuration diagram of an example of the air conditioning load prediction system 1 according to the present embodiment. [Figure 2] It is a hardware configuration diagram of an example of the computer 500 according to the present embodiment. [Figure 3] It is a flowchart of an example of the processing of the air conditioning load prediction system 1 according to the present embodiment. [Figure 4] It is a configuration diagram of an example of the air conditioning load composition ratio DB. [Figure 5] It is a flowchart of an example of the processing of steps S16 and S18. [Figure 6] It is an explanatory diagram of an example of the processing of steps S16 and S18. [Figure 7] It is a diagram for explaining an example of the use of the envelope load and the outside air load of the target space whose variation is predicted.

Modes for Carrying Out the Invention

[0023] Next, embodiments of the present disclosure will be described in detail.

[0024] <System Configuration> Figure 1 is a configuration diagram of an example of an air conditioning load prediction system 1 according to this embodiment. The air conditioning load prediction system 1 shown in Figure 1 includes an air conditioning load prediction device 10, a weather information provision device 20, an air conditioner 30, and an air conditioning load calculation device 40. The air conditioning load prediction device 10, the weather information provision device 20, and the air conditioner 30 are connected to each other via a communication network N. The communication network N is, for example, the Internet or a LAN (Local Area Network).

[0025] The air conditioner 30 and the air conditioning load calculation device 40 are installed in a building such as a building. A building is an example of a space that the air conditioner 30 provides air conditioning for. In the air conditioning load prediction system 1 shown in Figure 1, an example is shown in which the air conditioning load calculation device 40 is connected to the communication network N via the air conditioner 30, but the air conditioning load calculation device 40 may be connected to the communication network N without going through the air conditioner 30. The air conditioner 30 and the air conditioning load calculation device 40 may be integrated into one unit.

[0026] The air conditioning load calculation device 40 calculates the air conditioning load of the air conditioner 30. Hereinafter, the air conditioning load calculated by the air conditioning load calculation device 40 will be referred to as the measured air conditioning load. The air conditioning load calculation device 40 may also calculate the measured air conditioning load of the air conditioner 30 from the power consumption of the air conditioner 30. Alternatively, the air conditioning load calculation device 40 may calculate the measured air conditioning load for a given operating condition by conversion from data indicating the operating condition of the air conditioner 30, such as compressor outlet pressure data included in the existing operating data of the air conditioner 30, and temperature data from temperature sensors for intake and exhaust air during air conditioning. The air conditioning load calculation device 40 transmits the measured air conditioning load data of the air conditioner 30 to the air conditioner 30. Note that if the air conditioner 30 has measured air conditioning load data, the air conditioning load calculation device 40 may be omitted.

[0027] The air conditioner 30 is installed in a building, such as a building, which is an example of a space to be air-conditioned. The air conditioner 30 transmits existing operating data to the air conditioning load prediction device 10. The existing operating data is information indicating the operating status of the air conditioner 30 and may include the power consumption of the air conditioner 30, pressure data at the compressor outlet during air conditioning, and temperature data of the intake and exhaust air during air conditioning.

[0028] Furthermore, the air conditioner 30 transmits the measured air conditioning load data of the air conditioner 30, received from the air conditioning load calculation device 40, to the air conditioning load prediction device 10. Alternatively, the air conditioner 30 may calculate its measured air conditioning load using existing operating data and transmit it to the air conditioning load prediction device 10.

[0029] The weather information provider 20 provides weather information to the air conditioning load prediction device 10. The weather information provided by the weather information provider 20 includes the temperature, humidity, wind speed, and solar radiation outside the building, such as a building, which is the target space to be air-conditioned by the air conditioner 30.

[0030] The air conditioning load prediction device 10 acquires data on the actual air conditioning load of the air conditioner 30 that provides air conditioning to the target space from the air conditioner 30. The air conditioning load prediction device 10 also acquires characteristic information of the target space that the air conditioner 30 provides air conditioning to. For example, the characteristic information of the target space is input by the user operating the air conditioning load prediction device 10.

[0031] The air conditioning load prediction device 10 uses a table described later to obtain the air conditioning load composition ratio of a typical building corresponding to the characteristic information of the target space that the air conditioner 30 will air condition. Based on the obtained air conditioning load composition ratio and the measured air conditioning load, the air conditioning load prediction device 10 calculates the air conditioning load composition of the target space as described later. Furthermore, based on the air conditioning load composition of the target space, the air conditioning load prediction device 10 predicts the air conditioning load at the expected outdoor temperature of the target space as described later.

[0032] The air conditioning load prediction device 10, the weather information provision device 20, the control unit 32 of the air conditioner 30, and the air conditioning load calculation device 40 are information processing devices such as PCs (Personal Computers). The air conditioning load prediction device 10, the weather information provision device 20, the control unit 32 of the air conditioner 30, and the air conditioning load calculation device 40 may be implemented using cloud computing services.

[0033] The air conditioning load prediction device 10 has a control unit 12. The air conditioner 30 has a control unit 32. The control units 12 and 32 are hardware configurations that execute programs, and are such as a CPU (Central Processing Unit), ASIC (Application Specific Integrated Circuit), or FPGA (Field Programmable Gate Array).

[0034] The control unit 12 of the air conditioning load prediction device 10 and the control unit 32 of the air conditioner 30 can perform various processes according to this embodiment, as described later, by having the CPU execute a program. In this embodiment, the air conditioning load prediction system 1 may have either the control unit 12 of the air conditioning load prediction device 10 or the control unit 32 of the air conditioner 30 perform the various processes according to this embodiment, or the control unit 12 of the air conditioning load prediction device 10 and the control unit 32 of the air conditioner 30 perform them in cooperation.

[0035] The configuration of the air conditioning load prediction system 1 shown in Figure 1 is just one example. For example, the air conditioning load prediction device 10 may be implemented using multiple information processing devices. Alternatively, the air conditioning load prediction device 10 may be omitted by integrating its functions into the air conditioner 30. The air conditioning load prediction system 1 shown in Figure 1 can have various system configurations depending on the application and purpose.

[0036] <Hardware Configuration> The air conditioning load prediction device 10 and the control unit 32 of the air conditioner 30 shown in Figure 1 are implemented by a computer 500 with the hardware configuration shown in Figure 2, for example. Figure 2 is a hardware configuration diagram of an example of the computer 500 according to this embodiment.

[0037] The computer 500 shown in Figure 2 includes an input device 501, a display device 502, an external interface 503, RAM (Random Access Memory) 504, ROM (Read Only Memory) 505, a CPU 506, a communication interface 507, and an HDD (Hard Disk Drive) 508, all of which are interconnected via bus B. The input device 501 and the display device 502 may be connected and used only when necessary.

[0038] The input device 501 is used by the user to input various signals, such as a touch panel, operation keys, buttons, keyboard, or mouse. The display device 502 consists of a display such as a liquid crystal or organic EL that displays a screen, and a speaker that outputs sound data such as voice or music. The communication interface 507 is an interface for the computer 500 to perform data communication via the communication network N.

[0039] Furthermore, HDD508 is an example of a non-volatile storage device that stores programs and data. The programs and data stored include the OS (Operating System), which is the basic software that controls the entire computer 500, and applications that provide various functions on the OS. Note that computer 500 may use a drive device that uses flash memory as a storage medium (e.g., SSD; Solid State Drive) instead of HDD508.

[0040] External I / F 503 is an interface to external devices. External devices include recording media 503a. This allows computer 500 to read from and write to recording media 503a via external I / F 503. Recording media 503a include flexible disks, CDs (Compact Discs), DVDs (Digital Versatile Discs), SD (Secure Digital) memory cards, or USB (Universal Serial Bus) memory.

[0041] ROM505 is an example of non-volatile semiconductor memory (storage device) that can retain programs and data even when the power is turned off. ROM505 stores programs and data such as the BIOS (Basic Input Output System), OS settings, and network settings that are executed when the computer 500 starts up. RAM504 is an example of volatile semiconductor memory (storage device) that temporarily holds programs and data.

[0042] The CPU 506 is an arithmetic unit that reads programs and data from the ROM 505 and HDD 508 onto the RAM 504 and executes processing, thereby realizing the control and functions of the entire computer 500, and is an example of the control unit 12 or 32.

[0043] <Processing> The following describes an example of processing performed by the control unit 12 of the air conditioning load prediction device 10.

[0044] The air conditioning load prediction system 1 shown in Figure 1 easily predicts the air conditioning load of a target space that is air-conditioned by an air conditioner 30, as shown in Figure 3, for example. Figure 3 is a flowchart of an example of the processing of the air conditioning load prediction system 1 according to this embodiment.

[0045] In step S10 of Figure 3, the control unit 12 of the air conditioning load prediction device 10 acquires the measured air conditioning load of the air conditioner 30 in the target space. The control unit 12 may, for example, acquire the measured air conditioning load of the air conditioner 30 from the air conditioner 30 or the air conditioning load calculation device 40. In addition, in step S10, the control unit 12 acquires the measured temperature and humidity inside the target space (e.g., indoors) and outside the target space (e.g., outdoors) at the time of measurement of the measured air conditioning load. Note that it may not always be possible to acquire the measured temperature and humidity inside the target space at the time of measurement of the measured air conditioning load. Therefore, the measured temperature and humidity inside the target space at the time of measurement of the measured air conditioning load acquired in step S10 do not necessarily have to be the measured temperature and humidity, and for example, the temperature and humidity obtained through interviews or the design indoor temperature and humidity may be used.

[0046] In step S12, the control unit 12 acquires characteristic information of the target space. The characteristic information of the target space includes information about the area of ​​the target space, or information about the use of the target space. The characteristic information of the target space may include information about the area of ​​the target space and information about the use of the target space. Information about the area of ​​the target space is information indicating the area of ​​the building (property) in which the target space is located. Examples of area information for the target space include Sapporo, Sendai, Tokyo, Osaka, Fukuoka, and Naha. Information about the use of the target space is information indicating the intended use of the target space, such as an office, hotel, hospital, retail store, restaurant, or school. The characteristic information of the target space is not limited to information about the area of ​​the target space and information about the use of the target space, and is not limited to information that corresponds to the air conditioning load composition ratio of a typical building as described later.

[0047] In step S14, the control unit 12 obtains the air conditioning load configuration ratio of a representative building corresponding to the characteristic information of the target space acquired in step S12, for example, using the air conditioning load configuration ratio DB shown in Figure 4.

[0048] Figure 4 shows a diagram illustrating an example of an air conditioning load composition ratio database. The air conditioning load composition ratio database is an example of information that associates characteristic information of a target space with the air conditioning load composition ratio of a typical building.

[0049] The HVAC load composition ratio database in Figure 4 shows an example where the characteristic information of the target space is information about the region of the target space and information about the use of the target space. Furthermore, the HVAC load composition ratio database in Figure 4 shows an example where the HVAC load composition ratio of a typical building is the internal heat generation ratio, the outside air load ratio, and the building envelope load ratio.

[0050] The Air Conditioning Load Composition Ratio Database in Figure 4 stores the Air Conditioning Load Composition Ratios for each region and use of the target space, based on the calculation results of the Air Conditioning Load of representative buildings. The Air Conditioning Load Composition Ratio Database in Figure 4 shows an example where the Air Conditioning Load Composition Ratios of representative buildings are stored separately for cooling and heating.

[0051] The typical air conditioning load composition ratio for a building can be determined by calculating the ratio of internal heat generation, external air load, and building envelope load to the total air conditioning load, based on the building's general specifications (e.g., floor plan and wall heat transfer coefficient) and the heat generation schedule of personnel and equipment, for each region and use of the building. The calculation of internal heat generation, external air load, and building envelope load is performed using building equipment design standards widely used in air conditioning load (heat load) calculations. Furthermore, for the calculation of the building envelope load, the effective temperature difference (ETD), which takes into account the delay in heat transfer due to the heat capacity of the exterior walls, may be used. In the calculation of the building envelope load, the time delay may be taken into account by using, for example, the difference between ETD and the internal-external temperature difference as a correction value.

[0052] The control unit 12 can use the air conditioning load composition ratio DB shown in Figure 4 to identify and obtain the air conditioning load composition ratio of a representative building corresponding to the specific information of the target space acquired in step S12. For example, if the region of the target space acquired in step S12 is "Sapporo" and the use of the target space is "office", the control unit 12 will acquire an internal heat generation ratio of "0.3", an outside air load ratio of "0.35", and an envelope load ratio of "0.35" as the air conditioning load composition ratio.

[0053] Thus, the air conditioning load prediction system 1 according to this embodiment can easily obtain the air conditioning load composition ratio of a target space by inputting regional data and usage data for the target space, without having to input different building specifications data for each target space.

[0054] In step S16, the control unit 12 calculates the air conditioning load configuration of the target space based on the measured air conditioning load of the air conditioner 30 in the target space acquired in step S10 and the air conditioning load configuration ratio of the target space acquired in step S14.

[0055] For example, in the case of the air conditioning load composition ratio DB in Figure 4, the air conditioning load composition ratio of the target space obtained in step S14 represents the internal heat generation ratio, outdoor air load ratio, and building envelope load ratio of the air conditioner 30 in the target space relative to the measured air conditioning load, obtained in step S10. The control unit 12 can calculate the measured internal heat generation, outdoor air load, and building envelope load of the measured air conditioning load by using the internal heat generation ratio, outdoor air load ratio, and building envelope load ratio of the air conditioner 30 in the target space relative to the measured air conditioning load. Hereafter, the measured outdoor air load of the measured air conditioning load calculated in step S16 will be referred to as the measured outdoor air load. Also, hereafter, the measured building envelope load of the measured air conditioning load calculated in step S16 will be referred to as the measured building envelope load.

[0056] In step S18, the control unit 12 predicts the air conditioning load at the expected outdoor temperature of the target space based on the air conditioning load configuration of the target space calculated in step S16. The processes in steps S16 and S18 will be explained in more detail with reference to Figures 5 and 6.

[0057] Figure 5 is a flowchart of an example of the processing in steps S16 and S18. Figure 6 is an explanatory diagram of an example of the processing in steps S16 and S18.

[0058] In step S20, the control unit 12 calculates the measured envelope load of the target space as shown in Figure 6, based on the measured air conditioning load of the air conditioner 30 in the target space acquired in step S10 in Figure 3 and the envelope load ratio of the target space acquired in step S14 in Figure 3.

[0059] In step S22, the control unit 12 calculates an envelope load coefficient, which is proportional to the measured indoor-outdoor temperature difference of the target space, based on the measured envelope load of the target space, as shown in Figure 6. The measured indoor-outdoor temperature difference of the target space is the temperature difference between the inside (e.g., indoors) and outside (e.g., outdoors) of the target space at the time of measurement of the measured air conditioning load. The envelope load coefficient is an example of a first coefficient that is proportional to the indoor-outdoor temperature difference of the target space.

[0060] The envelope load coefficient can be calculated using the following formula (1), as shown in Figure 6. Envelope load coefficient = Measured envelope load / Measured internal-external temperature difference ... (1) In step S24, the control unit 12 calculates the measured outdoor air load of the target space as shown in Figure 6, based on the measured air conditioning load of the air conditioner 30 in the target space acquired in step S10 in Figure 3 and the outdoor air load ratio of the target space acquired in step S14 in Figure 3.

[0061] In step S26, the control unit 12 calculates an outdoor air load coefficient, which is proportional to the measured indoor-outdoor enthalpy difference of the target space, based on the measured outdoor air load of the target space, as shown in Figure 6. The measured indoor-outdoor enthalpy difference of the target space is the enthalpy difference between the inside (e.g., indoors) and outside (e.g., outdoors) of the target space at the time of measurement of the measured air conditioning load. The outdoor air load coefficient is an example of a second coefficient that is proportional to the indoor-outdoor enthalpy difference of the target space.

[0062] The outside air load coefficient can be calculated using the following equation (2), as shown in Figure 6. Outdoor load coefficient = Measured outdoor load / Measured difference between indoor and outdoor enthalpy…(2) In step S28, the control unit 12 predicts the fluctuation of the envelope load at the design temperature difference between the inside and outside of the target space, based on the envelope load coefficient calculated in step S22, as shown in Figure 6. The design temperature difference between the inside and outside of the target space is the temperature difference between the design indoor temperature inside the target space (e.g., indoors) and the design outdoor temperature outside the target space (e.g., outdoors) at the time of design. For example, the design outdoor temperature and the design indoor temperature are input by the user operating the air conditioning load prediction device 10. The design outdoor temperature and the design indoor temperature are, for example, the design outdoor temperature and the design indoor temperature of the air conditioner 30 agreed upon with the customer. The design outdoor temperature is an example of a predicted outdoor temperature.

[0063] The design envelope load based on the temperature difference between the inside and outside of the target space can be calculated using the following equation (3). Design envelope load = Envelope load coefficient × Design internal-external temperature difference…(3) The control unit 12 can use the calculated design envelope load at the design temperature difference between the inside and outside of the target space to predict fluctuations in the envelope load at the design temperature difference between the inside and outside of the target space (for example, an increase in the envelope load).

[0064] In step S30, the control unit 12 predicts the fluctuation of the outside air load at the design inside-outside enthalpy difference of the target space, based on the outside air load coefficient calculated in step S26, as shown in Figure 6. The design inside-outside enthalpy difference of the target space is the enthalpy difference between the design indoor enthalpy inside the target space (e.g., indoors) and the design outdoor enthalpy outside the target space (e.g., outdoors) at the time of design.

[0065] The design outside air load based on the difference in enthalpy between the design interior and exterior of the target space can be calculated using the following equation (4). Design outdoor load = Outdoor load coefficient × Design indoor / outdoor enthalpy difference…(4) The control unit 12 can predict fluctuations in the outside air load based on the design enthalpy difference between the inside and outside of the target space by using the design outside air load based on the calculated design inside-outside enthalpy difference of the target space.

[0066] The fluctuations in the envelope load due to the temperature difference between the inside and outside of the design space predicted in step S28, and the fluctuations in the outside air load due to the enthalpy difference between the inside and outside of the design space predicted in step S30, can be used, for example, as shown in Figure 7.

[0067] Figure 7 illustrates an example of the use of the predicted envelope load and outside air load of the target space. As shown in Figure 7, the control unit 12 can calculate the air conditioning load configuration of the target space (value of internal heat generation, value of outside air load, and value of envelope load) from the measured air conditioning load of the air conditioners 30 in the target space, based on the air conditioning load configuration ratio of a typical building corresponding to the characteristic information of the target space.

[0068] Furthermore, the control unit 12 calculates the envelope load coefficient and the outside air load coefficient based on the calculated air conditioning load configuration of the target space, and uses the envelope load coefficient and the outside air load coefficient to predict fluctuations in the air conditioning load based on the design internal-to-external temperature difference and the design internal-to-external enthalpy difference. The prediction of fluctuations in internal heat generation is based, for example, on the increase in the number of occupants (e.g., heat generation per person × increase in the number of occupants) and the increase in equipment (e.g., increase in equipment heat generation).

[0069] The control unit 12 can determine the required air conditioning capacity for the air conditioner 30 in the target space based on the predicted fluctuations in the air conditioning load due to the design temperature difference between the inside and outside and the design enthalpy difference between the inside and outside.

[0070] For example, when proposing the replacement of an existing air conditioner 30 with existing operating data, the optimal size of the air conditioner 30 for the target space (selection of the required air conditioning capacity) is determined using the existing operating data. However, if the measurement of the actual air conditioning load occurred during a cool summer, selecting an air conditioner 30 with an air conditioning capacity that satisfies the peak of the measured air conditioning load during the measurement period (peak capacity data) could result in insufficient air conditioning capacity in the target space after the replacement of the air conditioner 30.

[0071] In the air conditioning load prediction system 1 according to this embodiment, the building envelope load coefficient and the outside air load coefficient are calculated based on the air conditioning load configuration of the target space. Using the building envelope load coefficient and the outside air load coefficient, the air conditioning load at the expected outdoor temperature of the target space is predicted, allowing for the selection of an air conditioner 30 that incorporates an appropriate margin to prevent insufficient air conditioning capacity in the renovated target space (satisfying the required air conditioning capacity in the renovated target space). The air conditioning load prediction system 1 according to this embodiment may display the selected air conditioner 30 on the air conditioning load prediction device 10 and notify the user operating the air conditioning load prediction device 10.

[0072] Furthermore, the air conditioning load prediction system 1 according to this embodiment can easily predict the air conditioning load of a target space by inputting characteristic information of the target space, such as region and use, without having to input different building specifications data for each target space. In addition, since the air conditioning load prediction system 1 according to this embodiment uses the measured air conditioning load of the air conditioner 30 in the target space, the discrepancy between the predicted air conditioning load and the actual air conditioning load is suppressed.

[0073] In the air conditioning load prediction system 1 according to this embodiment, the measured air conditioning load, the ratio of the internal heat generation, outside air load, and building envelope load of a typical building to the total air conditioning load are used to predict the outside air load and building envelope load at the time of measurement of the measured air conditioning load.

[0074] Furthermore, the air conditioning load prediction system 1 calculates the proportionality constant for the envelope load with respect to the measured temperature difference between the inside and outside (envelope load coefficient) and the proportionality constant for the outdoor load with respect to the measured enthalpy difference between the inside and outside (outdoor air load coefficient), based on the predicted envelope load and outdoor air load, and the measured indoor and outdoor temperature difference and indoor and outdoor enthalpy difference of the actual air conditioning load.

[0075] The air conditioning load prediction system 1 calculates the increase in the building envelope load from the actual air conditioning load by multiplying the difference between the expected indoor-outdoor temperature difference (design indoor-outdoor temperature difference) and the actual indoor-outdoor temperature difference of the measured air conditioning load (actual indoor-outdoor temperature difference) by a calculated proportionality constant. The air conditioning load prediction system 1 also calculates the increase in the outdoor air load from the actual air conditioning load by multiplying the difference between the expected indoor-outdoor enthalpy difference (design indoor-outdoor enthalpy difference) and the actual indoor-outdoor enthalpy difference of the measured air conditioning load (actual indoor-outdoor temperature difference) by a calculated proportionality constant.

[0076] The air conditioning load prediction system 1 predicts the air conditioning load at the expected outdoor temperature of the target space by summing the calculated increases in the envelope load and outdoor air load. This allows the air conditioning load prediction system 1 to predict fluctuations (e.g., increases) in the envelope load and outdoor air load that are affected by the temperature difference between the inside and outside.

[0077] [Effect] The control unit 12 of the air conditioning load prediction device 10 acquires the measured air conditioning load of the air conditioners 30 that provide air conditioning to the target space, acquires characteristic information of the target space, calculates the air conditioning load configuration of the target space based on the air conditioning load configuration ratio of a typical building corresponding to the characteristic information and the measured air conditioning load, and predicts the air conditioning load of the target space at the expected outdoor temperature based on the air conditioning load configuration of the target space.

[0078] The control unit 12 calculates the air conditioning load configuration of the target space used for air conditioning load prediction based on the air conditioning load configuration ratio of a typical building corresponding to the characteristic information of the target space and the actual measured air conditioning load of the target space. According to this embodiment, the air conditioning load prediction of the target space can be easily performed.

[0079] The air conditioning load composition ratio includes the ratio of the building envelope load or the ratio of the outside air load, and the air conditioning load composition includes the building envelope load or the outside air load. The control unit 12 predicts the building envelope load or the outside air load at the expected outdoor temperature of the target space based on the ratio of the building envelope load or the ratio of the outside air load. The control unit 12 can easily predict the building envelope load or the outside air load at the expected outdoor temperature of the target space based on the building envelope load ratio or the outside air load ratio.

[0080] The control unit 12 calculates a first coefficient proportional to the indoor-outdoor temperature difference of the target space based on the air conditioning load configuration of the target space, and predicts the air conditioning load at the expected outdoor temperature of the target space based on the first coefficient. The control unit 12 can predict the air conditioning load at the expected outdoor temperature of the target space based on the first coefficient proportional to the indoor-outdoor temperature difference of the target space.

[0081] The control unit 12 calculates a second coefficient proportional to the difference in indoor and outdoor enthalpy of the target space based on the air conditioning load configuration of the target space, and predicts the air conditioning load at the expected outdoor enthalpy of the target space based on the second coefficient proportional to the difference in indoor and outdoor enthalpy of the target space. The control unit 12 can predict the air conditioning load at the expected outdoor enthalpy of the target space based on the second coefficient proportional to the difference in indoor and outdoor enthalpy of the target space.

[0082] The control unit 12 identifies the air conditioning load configuration ratio of a representative building corresponding to the characteristic information of the target space, using information that associates the characteristic information of the target space with the air conditioning load configuration ratio of a representative building.

[0083] The characteristic information of the target space includes information about the region of the target space or information about the use of the target space. The control unit 12 can use the information about the region of the target space or the use of the target space as specific information about the target space.

[0084] The control unit 12 selects an air conditioner capable of handling the predicted air conditioning load. The control unit 12 can select an air conditioner capable of handling the air conditioning load at the predicted outdoor temperature of the target space.

[0085] An air conditioning load prediction method performed by an air conditioning load prediction device 10 having a control unit 12, wherein the control unit 12 acquires the measured air conditioning load of the air conditioners 30 that provide air conditioning to the target space, acquires characteristic information of the target space, calculates the air conditioning load configuration of the target space based on the air conditioning load configuration ratio and measured air conditioning load of a typical building corresponding to the characteristic information, and predicts the air conditioning load at the expected outdoor temperature of the target space based on the air conditioning load configuration of the target space.

[0086] The control unit 12 calculates the air conditioning load configuration of the target space used for air conditioning load prediction based on the air conditioning load configuration ratio of a typical building corresponding to the characteristic information of the target space and the actual measured air conditioning load of the target space. According to this embodiment, the air conditioning load prediction of the target space can be easily performed.

[0087] As described above, this embodiment can be understood to be capable of various modifications to its form and details without departing from the spirit and scope of the claims. [Explanation of symbols]

[0088] 1. Air Conditioning Load Prediction System 10. Air conditioning load prediction device 20 Weather Information Provisioning Device 12 Control Unit 30 Air conditioner 40. Air conditioning load calculation device

Claims

1. An air conditioning load prediction device having a control unit, The control unit, The measured air conditioning load of the air conditioners that provide air conditioning for the target space is obtained. The characteristic information of the target space is acquired, Based on the air conditioning load configuration ratio of representative buildings corresponding to the aforementioned characteristic information and the measured air conditioning load, the air conditioning load configuration of the target space is calculated. Based on the air conditioning load configuration of the target space, predict the air conditioning load at the expected outdoor temperature of the target space. Air conditioning load prediction device.

2. The aforementioned air conditioning load composition ratio includes the ratio of the building envelope load or the ratio of the outside air load. The aforementioned air conditioning load configuration includes an envelope load or an outside air load, The control unit predicts the envelope load or the outside air load at the expected outdoor temperature of the target space based on the ratio of the envelope load or the ratio of the outside air load. The air conditioning load prediction device according to claim 1.

3. The control unit, Based on the air conditioning load configuration of the target space, a first coefficient proportional to the indoor-outdoor temperature difference of the target space is calculated. Based on the first coefficient, the air conditioning load at the expected outdoor temperature of the target space is predicted. The air conditioning load prediction device according to claim 1.

4. The control unit, Based on the air conditioning load configuration of the target space, a second coefficient proportional to the indoor-outdoor enthalpy difference of the target space is calculated. Based on the second coefficient, the air conditioning load at the expected outdoor enthalpy of the target space is predicted. The air conditioning load prediction device according to claim 1.

5. The control unit uses information relating the characteristic information of the target space to the air conditioning load configuration ratio of a representative building to identify the air conditioning load configuration ratio of the representative building that corresponds to the characteristic information. The air conditioning load prediction device according to claim 1.

6. The characteristic information of the target space includes information about the region of the target space or information about the use of the target space. An air conditioning load prediction device according to any one of claims 1 to 5.

7. The control unit selects an air conditioner capable of handling the predicted air conditioning load. An air conditioning load prediction device according to any one of claims 1 to 5.

8. An air conditioning load prediction method performed by an air conditioning load prediction device having a control unit, The control unit, The measured air conditioning load of the air conditioners that provide air conditioning for the target space is obtained. The characteristic information of the target space is acquired, Based on the air conditioning load configuration ratio of representative buildings corresponding to the aforementioned characteristic information and the measured air conditioning load, the air conditioning load configuration of the target space is calculated. Based on the air conditioning load configuration of the target space, predict the air conditioning load at the expected outdoor temperature of the target space. A method for predicting air conditioning load.

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