JP2017134478A - Program, information processing method, and information processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To more easily and more quickly select a set of house facility combinations which achieve a desired design primary energy consumption amount.SOLUTION: For a set of house facility combinations and combinations of values of a shell heat loss amount per unit temperature difference, a cooling period solar heat acquisition amount per unit solar radiation intensity, and a heating period solar heat acquisition amount per unit solar radiation intensity, a reference primary energy consumption amount and design primary energy consumption amount are calculated. For a set of house/unit facility combinations, a regression model is calculated, in which the values of the shell heat loss amount per unit temperature difference, the cooling period solar heat acquisition amount per unit solar radiation intensity, and the heating period solar heat acquisition amount per unit solar radiation intensity are explanatory variables and the design primary energy consumption amount is an objective variable.SELECTED DRAWING: Figure 4

Description

  The present invention relates to a program, an information processing method, and an information processing apparatus, and more particularly to a program, an information processing method, and an information processing apparatus suitable for evaluating energy saving performance of a house.

  There is a demand for rationalization of energy use, that is, energy saving in houses. When a house has a predetermined energy saving performance, it can receive various support or preferential treatment from the government.

  "Standards for judgment of owners of specified buildings and owners regarding rationalization of energy use" (2013 Ministry of Economy, Trade and Industry, Ministry of Land, Infrastructure, Transport and Tourism Notification No. 1) stipulates standards for primary energy consumption. ing. In order to receive tax incentives such as the long-term excellent housing certification system, it is often one of the conditions that the primary energy consumption class 4 or the primary energy consumption class 5 is. In order to be the primary energy consumption class 4, it is required that the designed primary energy consumption is smaller than the standard primary energy consumption in the energy saving standard. Moreover, in order to be the primary energy consumption class 5, it is required that the designed primary energy consumption is smaller than the standard primary energy consumption based on the low carbon standard.

  Conventionally, a housing design support system for supporting housing design includes advice / improvement plan data storage means for storing advice / improvement plan data on housing performance including energy saving performance and living comfort, site, and resident information. Design preparation information input means for inputting design preparation information including information necessary for housing design, etc., and corresponding advice / improvement proposal data is extracted from the advice / improvement proposal data storage means based on the inputted design preparation information. There are also provided an advice / improvement plan data extracting means for performing an advice / improvement plan display means for displaying the extracted advice / improvement plan data (see, for example, Patent Document 1).

JP 2015-162150 A

  To calculate the primary energy consumption according to the standard, use the Judgment Program for Energy Conservation Performance of Housing / Dwelling Units or the API (Application Programming Interface) Judgment Program for Energy Conservation Performance of Housing / Dwelling Units provided by the National Institute for Building Science It is standard to do. This program calculates the primary energy consumption of the house by using the basic information of the house such as the floor area and the information of the installed equipment such as air conditioning.

  However, although it is easy to input a set of information and obtain the primary energy consumption of the house, how to enter the information in many cases and introduce various air conditioning and hot water facilities It is not suitable for comparing and examining whether energy consumption changes.

  The present invention has been made in view of such a situation, and when a plurality of combinations of facilities are input, a determination program API for energy-saving performance of a house / dwelling unit is automatically called as many times as necessary to each primary energy consumption amount. Is calculated, and the regression model of the design primary energy consumption when the equipment is introduced is output, so that selection of an appropriate equipment combination can be supported. That is, it is possible to more easily and more quickly select a set of residential equipment combinations that will provide the desired design primary energy consumption.

  A program according to an aspect of the present invention includes a first acquisition step for acquiring a floor area of a house and an energy saving standard area classification and an annual solar radiation area section determined by a user, and energy saving of a housing skin. Ranges of values indicating the amount of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar radiation intensity, and heating period solar heat gain per unit solar radiation intensity, which is a value indicating performance. A second acquisition step of acquiring an upper limit value and a lower limit value of a range specified by the user, and an amount of skin heat loss per unit temperature difference and a unit solar radiation intensity within the respective ranges indicated by the upper limit value and the lower limit value Combine one value from at least two values of the amount of solar heat acquired per cooling period and the amount of solar heat acquired per unit solar intensity. A combination generation step for generating a plurality of combinations, a third acquisition step for acquiring information indicating a set of residential facilities that affect consumption or generation of energy specified by the user, and the generated combination A selection step for selecting one combination, a determination program for calculating a reference primary energy consumption amount and a design primary energy consumption amount to determine the energy saving performance of the house, the selected combination, the floor area of the house, Information indicating energy saving standard area classification, annual solar radiation area classification, and information indicating a set of housing equipment, combined to indicate floor area of the house, energy saving standard area classification, annual solar radiation area classification, and a set of housing equipment Call step to obtain the design primary energy consumption calculated from The selection step and the calling step are repeated as many times as the number of combinations generated, and a regression model calculation step is further performed to calculate a regression model by multiple regression analysis using the combinations as explanatory variables and the design primary energy consumption as a target variable. The computer performs a regression model calculation process including the computer.

  For a set of residential equipment that affects energy consumption or production, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity. Since a regression model is calculated with the combination as the explanatory variable and the primary energy consumption of the design as the target variable, a set of residential equipment and the amount of skin heat loss per unit temperature difference that will be the desired primary energy consumption of the design , The cooling period solar heat gain per unit solar intensity, and the combination of heating period solar heat per unit solar intensity can be easily known, which makes it easier, faster, and desired design You can select a set of residential equipment combinations that will be the primary energy consumption.

  In the calling step, the design primary energy consumption and the reference primary energy consumption calculated from information indicating the combination, the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the set of housing equipment will be obtained. Can be. In this way, it is possible to more easily and more quickly determine a set of residential equipment combinations that provides the desired design primary energy consumption while more easily determining the primary energy consumption class.

  In the calling step, a determination program provided from the National Research and Development Institute of Building Research can be called. In this way, it is possible to select a set of residential equipment combinations that will provide the desired primary energy consumption for design more reliably.

  In the calling step, the determination program can be called by an API (Application Programming Interface). In this way, it is possible to more easily select a set of residential equipment combinations that provide the desired design primary energy consumption.

  In the third acquisition step, a plurality of pieces of information indicating a set of residential facilities are acquired, and the selection step and the calling step are repeated by the number of combinations generated for each piece of information indicating the set of residential facilities. In the calculation step, for each piece of information indicating a set of residential equipment, a regression model can be calculated by multiple regression analysis using the combination as an explanatory variable and the design primary energy consumption as a target variable. In this way, it is possible to more easily and more quickly select a set of residential equipment combinations that achieves the desired design primary energy consumption from a plurality of sets of residential equipment combinations.

  An information processing method according to an aspect of the present invention includes a first acquisition step of acquiring a floor area of a house, an energy saving standard area section determined by the location of the house, and an annual solar radiation area section specified by a user; In the range of each value of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar intensity, and heating period solar heat gain per unit solar intensity A second acquisition step of acquiring an upper limit value and a lower limit value of a range specified by the user, and an amount of skin heat loss per unit temperature difference in each range indicated by the upper limit value and the lower limit value, in units Combine one value from each of at least two values of the amount of solar heat acquired during the cooling period per solar intensity and the amount of solar heat acquired during the heating period per unit solar intensity. A combination generation step for generating a plurality of combinations, a third acquisition step for acquiring information indicating a set of residential facilities that influences the consumption or generation of energy specified by the user, and among the generated combinations A selection step for selecting one combination from the above, a judgment program for calculating a reference primary energy consumption amount and a design primary energy consumption amount to determine the energy saving performance of the house, and the selected combination and the floor area of the house , Send information with energy saving standard area classification, annual solar radiation area classification, and information indicating a set of housing equipment to show the combined floor area, energy saving standard area classification, annual solar radiation area classification, and housing equipment set A call step to obtain the design primary energy consumption calculated from the information. Thus, the selection step and the calling step are repeated as many times as the number of combinations generated, and the regression model calculation step for calculating the regression model by multiple regression analysis with the combinations as explanatory variables and the design primary energy consumption as the target variable is performed. In addition.

  For a set of residential equipment that affects energy consumption or production, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity. Since a regression model is calculated with the combination as the explanatory variable and the primary energy consumption of the design as the target variable, a set of residential equipment and the amount of skin heat loss per unit temperature difference that will be the desired primary energy consumption of the design , The cooling period solar heat gain per unit solar intensity, and the combination of heating period solar heat per unit solar intensity can be easily known, which makes it easier, faster, and desired design You can select a set of residential equipment combinations that will be the primary energy consumption.

  An information processing apparatus according to an aspect of the present invention includes: a first acquisition unit that acquires a floor area of a house, an energy-saving standard area section and an annual solar radiation area section that are determined by a user; In the range of each value of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar intensity, and heating period solar heat gain per unit solar intensity A second acquisition means for acquiring an upper limit value and a lower limit value of a range specified by a user, and an amount of skin heat loss per unit temperature difference in each range indicated by the upper limit value and the lower limit value, in units Multiple combinations of one value each from at least two values of the cooling period solar heat acquisition amount per solar radiation intensity and the heating period solar heat acquisition amount per unit solar radiation intensity A combination generation means for generating a combination; a third acquisition means for acquiring information indicating a set of residential equipment that affects consumption or generation of energy, designated by a user; and one of the generated combinations Selection means for selecting combinations in a predetermined order, and for each selected combination, a reference primary energy consumption amount and a design primary energy consumption amount are calculated to call a determination program that determines the energy saving performance of the house, and is selected. The combination of the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and information indicating a set of housing equipment, and the combination, the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, And obtain design primary energy consumption calculated from information indicating a set of housing equipment And fine out means, and a combination of explanatory variables, multiple regression analysis to target variable design primary energy consumption, and a regression model calculation means for calculating a regression model.

  For a set of residential equipment that affects energy consumption or production, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity. Since a regression model is calculated with the combination as the explanatory variable and the primary energy consumption of the design as the target variable, a set of residential equipment and the amount of skin heat loss per unit temperature difference that will be the desired primary energy consumption of the design , The cooling period solar heat gain per unit solar intensity, and the combination of heating period solar heat per unit solar intensity can be easily known, which makes it easier, faster, and desired design You can select a set of residential equipment combinations that will be the primary energy consumption.

  As described above, according to one aspect of the present invention, a set of residential equipment, the amount of skin heat loss per unit temperature difference, the cooling period solar heat per unit solar radiation intensity, which is the desired design primary energy consumption It is possible to easily know the acquisition amount and the combination of the heating period solar heat acquisition amount per unit solar radiation intensity.

  Also, according to one aspect of the present invention, it is possible to select a set of residential equipment combinations that achieves the desired design primary energy consumption more easily and more quickly.

It is a figure explaining the example of a structure of the information processing system containing the personal computer of one embodiment of this invention. It is a block diagram which shows the example of a hardware structure of the personal computer 11-1. It is a block diagram which shows the example of a structure of the function implement | achieved in the personal computer 11-1 which executes a program. It is a flowchart explaining the calculation process of a regression model. It is a flowchart explaining the designation | designated process of the determination program API address. It is a flowchart explaining the process of acquisition of a reference | standard primary energy consumption and a design primary energy consumption. It is a figure which shows the example of the design primary energy consumption with respect to each value of the range of the cooling period solar heat acquisition amount per unit solar radiation intensity and the heating period solar heat acquisition amount per unit solar radiation intensity obtained from a regression model.

  Embodiments of the present invention will be described below. Correspondences between the configuration requirements of the present invention and the embodiments described in the detailed description of the present invention are exemplified as follows. This description is to confirm that the embodiments supporting the present invention are described in the detailed description of the invention. Accordingly, although there are embodiments that are described in the detailed description of the invention but are not described here as embodiments corresponding to the constituent elements of the present invention, It does not mean that the embodiment does not correspond to the configuration requirements. Conversely, even if an embodiment is described here as corresponding to a configuration requirement, that means that the embodiment does not correspond to a configuration requirement other than the configuration requirement. It's not something to do.

  A program according to one aspect of the present invention is a first acquisition step (for example, step of FIG. 4) of acquiring a floor area of a house, an energy saving standard area section and an annual solar radiation area section determined by a user, and determined by the location of the house. (Procedure of S12), and the amount of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar intensity, and heating period solar heat per unit solar intensity, which are values indicating the energy saving performance of the housing skin A second acquisition step (for example, the procedure of step S13 in FIG. 4) for acquiring an upper limit value and a lower limit value of a range specified by the user, and an upper limit value and a lower limit value. The amount of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar radiation intensity, and unit solar radiation intensity within each range indicated by A combination generation step (for example, the procedure of step S14 in FIG. 4) for generating a plurality of combinations by combining one value from each of at least two values of the heating period solar heat acquisition amount, is designated by the user. A third acquisition step (for example, the procedure of step S15 in FIG. 4) for acquiring information indicating a set of residential equipment that affects energy consumption or generation, and one combination is selected from the generated combinations. A selection step (for example, the procedure of step S17 in FIG. 4), a determination program for calculating a reference primary energy consumption amount and a design primary energy consumption amount to determine the energy saving performance of the house, and the selected combination; Housing floor area, energy-saving standard area classification, annual solar radiation area classification, and housing equipment Calling step to send design information and get design primary energy consumption calculated from information showing combination, floor area of house, energy-saving standard area classification, annual solar radiation area classification, and housing equipment For example, the selection step and the calling step are repeated by the number of generated combinations, the combination is an explanatory variable, and the design primary energy consumption is a target variable. Thus, the computer is caused to perform a regression model calculation process that further includes a regression model calculation step for calculating a regression model (for example, the procedure of step S20 in FIG. 4).

  The information processing method according to one aspect of the present invention includes a first acquisition step (for example, FIG. 4) of acquiring a floor area of a house, an energy saving standard area section and an annual solar radiation area section determined by a user, and determined by the location of the house. Step S12), and the amount of skin heat loss per unit temperature difference, the cooling period per unit solar radiation intensity, the amount of solar heat acquired per unit solar radiation intensity, and the heating period per unit solar radiation intensity A second acquisition step (for example, the procedure of step S13 in FIG. 4) for acquiring an upper limit value and a lower limit value of a range specified by the user, each range of the solar heat acquisition amount; Within each range indicated by the lower limit, skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar radiation intensity, and unit solar radiation intensity A combination generation step (for example, the procedure of step S14 in FIG. 4) for generating a plurality of combinations by combining one value from each of at least two values of the amount of solar heat acquired during the heating period, specified by the user A third acquisition step (for example, the procedure of step S15 in FIG. 4) for acquiring information indicating a set of residential equipment that affects energy consumption or generation, and selecting one combination from the generated combinations A selection step to be performed (for example, the procedure of step S17 in FIG. 4), a determination program for calculating a reference primary energy consumption amount and a design primary energy consumption amount to determine the energy saving performance of the house, and the selected combination , Residential floor area, energy conservation standard area classification, annual solar radiation area classification, and housing installation Calling step to send a combination of information indicating a set of energy and obtaining a design primary energy consumption calculated from information indicating a combination, floor area of the house, energy saving standard area classification, annual solar radiation area classification, and a set of housing equipment (For example, the procedure of step S18 in FIG. 4), the selection step and the calling step are repeated by the number of generated combinations, the combination is an explanatory variable, and the design primary energy consumption is a target variable. A regression model calculation step (for example, the procedure of step S20 in FIG. 4) for calculating a regression model by analysis is further included.

  The information processing apparatus according to one aspect of the present invention (for example, the personal computer 11-1 in FIG. 1) is configured to specify a floor area of a house, an energy saving standard area classification and an annual solar radiation area classification determined by the location of the house. The first acquisition means to acquire (for example, the floor area / division acquisition unit 84 in FIG. 3) and the value indicating the energy saving performance of the housing skin, the amount of skin heat loss per unit temperature difference, per unit solar radiation intensity Second acquisition means for acquiring an upper limit value and a lower limit value of a range specified by the user, each range of the cooling period solar heat acquisition amount and the heating period solar heat acquisition amount per unit solar radiation intensity. For example, the skin energy saving performance value range acquisition unit 85) in FIG. 3 and the amount of skin heat loss per unit temperature difference and the unit solar radiation intensity within the respective ranges indicated by the upper limit value and the lower limit value. Combination generating means for generating a plurality of combinations by combining one value from each of at least two values of the amount of solar heat acquisition per cooling period and the amount of solar heat acquisition per unit solar radiation intensity (for example, FIG. 3 combination generation unit 63) and third acquisition means (for example, the facility combination information acquisition unit in FIG. 3) that acquires information indicating a set of residential facilities that affect energy consumption or generation, specified by the user. 86), a selection unit (for example, the selection unit 65 in FIG. 3) for selecting one combination from the generated combinations in a predetermined order, and the reference primary energy consumption and the design primary for each selected combination. Calls a judgment program that calculates energy consumption and determines the energy-saving performance of a house, and the selected combination Send the floor area of the house, energy saving standard area classification, annual solar radiation area classification, and information indicating a set of housing equipment, and combine the floor area of the house, energy saving standard area classification, annual solar radiation area classification, and housing equipment The calling means (for example, the energy consumption acquisition unit 66 in FIG. 3) for acquiring the design primary energy consumption calculated from the information indicating the set of the above and the combination as the explanatory variable, and the design primary energy consumption as the target variable Regression model calculation means for calculating a regression model by multiple regression analysis (for example, regression analysis unit 67 in FIG. 3).

  Hereinafter, an example of a personal computer according to an embodiment of the present invention will be described with reference to FIGS.

  FIG. 1 is a diagram for explaining an example of the configuration of an information processing system including a personal computer according to an embodiment of the present invention. The information processing system performs processing related to the energy consumption of the house. The information processing system includes personal computers 11-1 to 11-3 and a server 12. The personal computers 11-1 to 11-3 and the server 12 are connected via the Internet 13. The personal computers 11-1 to 11-3 are general-purpose computers that can be directly operated by the user. Each of the personal computers 11-1 to 11-3 executes a program and performs a regression model calculation process described later.

  The personal computer 11-1 is a so-called desktop personal computer that is placed on a desk. The personal computer 11-2 is a so-called laptop personal computer in which a main body, a display, and a keyboard are housed in one housing. The personal computer 11-3 is a so-called tablet personal computer that is a plate-shaped all-in-one computer.

  The server 12 provides various services such as calculation processing, file storage, and web page provision to the personal computers 11-1 to 11-3 via the Internet 13. The server 12 includes a dedicated server, a personal computer, or a virtual server. The server 12 may be a system composed of a combination of a dedicated server, a personal computer, or a virtual server.

  The server 12 executes a determination program for energy saving performance of a house / dwelling unit provided by the National Institute for Architectural Research. The personal computers 11-1 to 11-3 use a determination program API (Application Programming Interface) for determining the energy saving performance of a house / dwelling unit, thereby determining the energy saving performance of the house / dwelling unit provided by the National Institute for Building Research. You can call the program. When the personal computers 11-1 to 11-3 call the determination program using the determination program API of the energy saving performance of the house / dwelling unit, the server 12 executes the determination program and passes the personal computer via the Internet 13. The reference primary energy consumption amount and the designed primary energy consumption amount are calculated from the input data (input set to be described later with reference to FIG. 6) transmitted from 11-1 to 11-3. 11-3.

  Here, input items and output items of the judgment program for energy saving performance of houses and units provided by the National Research and Development Institute of Architecture will be described.

  The input items of the energy conservation performance judgment program for houses and units are the floor area of the house, the energy conservation standard area classification and the annual solar radiation area classification, the amount of skin heat loss per unit temperature difference, and the cooling period solar heat per unit solar radiation intensity. It consists of the amount of acquisition, the amount of heat gained during the heating period per unit solar radiation intensity, and information indicating a set of residential equipment that affects the consumption or generation of energy.

  First, the floor area of the house, the energy saving standard area classification, and the annual solar radiation area classification will be described. The floor area of a house is determined by the layout of the house. If the floor plan of a house is defined, the floor area of the house will not change. The floor area of a house is obtained from the values of the areas of the main room, other rooms, and non-rooms.

  The energy conservation standard area classification and annual solar radiation area classification are determined by the location of the house. In addition, if the location of the house is determined, the energy conservation standard area classification and annual solar radiation area classification will not change. The energy conservation standard area classification reflects the regional climate characteristics, and is an area from 1 area to 8 areas in administrative units. The annual solar radiation area classification is the classification indicated in the list of solar radiation area classifications published on the website of the National Institute for Building Science, “Technical information on energy conservation standards for houses and buildings and certification standards for low-carbon buildings” It is.

  Next, the skin heat loss amount per unit temperature difference, the cooling period solar heat acquisition amount per unit solar radiation intensity, and the heating period solar heat acquisition amount per unit solar radiation intensity will be described. Skin heat loss per unit temperature difference (W / K) (hereinafter also referred to as q value) refers to the amount of heat escaping from the inside of the house to the outside, such as walls, floors, ceilings, and openings that come into contact with the outside air Is the total heat loss from

Cooling period solar heat gain per unit solar radiation intensity (W / (W / m ² )) (hereinafter also referred to as _mc value) enters the room with unit solar radiation intensity of 1 during the cooling period It refers to the amount of solar radiation, and is the sum of the amount of solar radiation that enters from the roof or ceiling, outer wall, doors and other enclosures, and the amount of solar radiation that enters from the window glass. Heating period solar heat gain per unit solar radiation intensity (W / (W / m ² )) (hereinafter also referred to as m _H value) enters the room with unit solar radiation intensity 1 during the heating period. It refers to the amount of solar radiation, and is the sum of the amount of solar radiation that enters from the roof or ceiling, outer wall, doors and other enclosures, and the amount of solar radiation that enters from the window glass.

  In addition, residential facilities that affect energy consumption or generation will be described. Residential facilities that affect energy consumption or generation include ventilation equipment, heat storage equipment, ventilation system equipment that introduces outside air via the underfloor space, heating system / heating equipment or radiator Type, cooling system / cooling equipment type, ventilation system, hot water supply / heat source machine type, lighting equipment, solar power generation equipment, and the like.

  The information on the equipment using ventilation indicates whether ventilation is used or not used as an alternative to ventilation for each of the main room and other rooms. Information on facilities that use heat storage indicates whether to use heat storage materials for dwelling units and whether or not to use heat storage to keep room temperature stable. The information on the facility of the ventilation system that introduces outside air through the underfloor space indicates whether or not the ventilation method of introducing outside air through the underfloor space is adopted.

  For information on the type of heating system / heating equipment / heatsink, for each of the main rooms and other rooms, the presence or absence of energy conservation measures, the type of hot water heater, the laying rate, and the insulation of the floor (top heat dissipation rate) Show. If there is an energy saving measure in the information on the heating system / heating equipment or radiator type, if the heating equipment is a room air conditioner, the information indicating the energy consumption efficiency classification, the heating equipment is a room air conditioner. Information indicating whether or not a variable capacity compressor is installed, and energy consumption efficiency at the rated capacity when the heating equipment is a FF (Forced Flue) heater Contains information.

  The information indicating the type of the hot water heater is included in the information on the type of the heating system / heating equipment or radiator when the heating equipment is a panel radiator, hot water floor heating, or a fan convector.

  In addition, the information indicating the laying rate is included in the information on the type of heating method / heating equipment or radiator when the heating equipment is a hot water floor heater, an electric heater floor heating, or a hot water floor heater with room air conditioner.

  Information indicating floor insulation (upper surface heat dissipation rate) is information on the type of heating system / heating equipment or radiator if the heating equipment is hot water floor heating, electric heater floor heating, or hot water floor heater with room air conditioner include.

  The information on the type of the cooling system / cooling equipment indicates whether or not the main room and other rooms have energy saving measures. If there is an energy saving measure in the information on the type of cooling system / cooling equipment, when the cooling equipment is a room air conditioner, information indicating the energy consumption efficiency category, when the cooling equipment is a room air conditioner, And information indicating whether or not the variable displacement compressor is installed.

  The information on the method of the ventilation facility indicates the presence / absence of energy saving measures, the number of ventilations, the effective ventilation rate in the case of the first type ventilation facility, and the like. Ventilation system information includes energy saving measures, when installing duct type ventilation equipment, information indicating the energy saving method to be used, and information indicating specific power consumption when installing duct type ventilation equipment. It is.

  Information on the type of hot water supply heat source / heat source is either JIS (Japanese Industrial Standards) efficiency input or not, or the heat source configuration for an electric heat pump / gas combined hot water hot water heater, dedicated to hot water supply Presence / absence and type of bathing function in case of mold, tank capacity of hot water, installation location of tank unit such as indoor or outdoor, piping method such as pre-branching method or header method, “2-valve faucet” or thermostatic hot / cold water faucet For example, kitchen faucet faucet system, bathroom shower faucet faucet system, bathroom faucet faucet system, and bathtub heat insulation Show. The information on the type of hot water supply heat source / heat source includes information indicating the JIS efficiency of the hot water supply unit when inputting JIS efficiency, and the JIS efficiency of the heating unit in the case of an integrated hot water supply / hot water heating type.

  The information on the lighting facilities indicates whether or not the main living room, other living rooms, and non-residential rooms are installed. Information on lighting equipment includes the use of incandescent lamps, the use of incandescent lamps, the use of multiple-light distributed lighting systems when installed in main rooms or other rooms, or the main rooms or other rooms. Information indicating whether or not to adopt a dimmable control when installed in a non-occupied room or whether or not to use a human sensor when installed in a non-residential room is included.

  Information on photovoltaic power generation equipment includes the number of panels with different orientations, the system capacity (kW) of the solar cell array, the type of solar cell array, the solar cell array installation method, the panel installation azimuth angle, the panel installation inclination angle, and the power conditioner The rated load efficiency of For example, the number of panels with different orientations is 1 if all panels are in the same direction, and 2 if there are east-facing panels and south-facing panels. The solar cell array refers to an aggregate obtained by mechanically integrating and connecting solar cell modules or solar cell panels. The type of the solar cell array indicates any type of “crystalline solar cell” or “non-crystalline solar cell” such as an amorphous solar cell or a multi-junction solar cell. The solar cell array installation method indicates a stand installation type or a roof placement type.

  Next, output items of the determination program for energy saving performance of houses and units will be described. The output items of the judgment program for energy saving performance of houses and dwelling units are the standard primary energy consumption based on the energy saving standard, the standard primary energy consumption based on the low carbon standard, and the design primary energy consumption. The standard primary energy consumption in the energy saving standard, the standard primary energy consumption in the low carbon standard, and the design primary energy consumption were promulgated on January 31, 2013, “Builders etc. regarding rationalization of energy use and Criteria for Judgment of Specific Building Owners "(2013 Ministry of Economy, Trade and Industry, Ministry of Land, Infrastructure, Transport and Tourism Notification No. 1) (Final Revision 2013, Ministry of Economy, Trade and Industry, Ministry of Land, Infrastructure, Transport and Tourism Notification No. 10) and December 2012 Promulgated in May (partially revised in September 2013) “Certification standards for low-carbon buildings (for further promotion of rationalization of energy use related to buildings and other carbon reductions in buildings) (Standards to be guided to the Ministry of Economy, Trade and Industry, Ministry of Land, Infrastructure, Transport and Tourism, Ministry of the Environment Notification No. 119).

  Returning to FIG. 1, the Internet 13 is an example of a network, such as a wired or wireless general-purpose line or dedicated line, or a plurality of wired or wireless networks, such as a LAN (Local Area Network) or a WAN (Wide Area Network). Consists of.

  Hereinafter, the personal computers 11-1 to 11-3 are examples of the information processing apparatus, have the same hardware configuration, and perform the same processing, so the details of the personal computers 11-2 and 11-3 are detailed. Will be omitted, and the personal computer 11-1 will be described as an example.

  FIG. 2 is a block diagram illustrating an example of a hardware configuration of the personal computer 11-1.

  In the personal computer 11-1, a CPU (Central Processing Unit) 31, a ROM (Read Only Memory) 32, and a RAM (Random Access Memory) 33 are connected to each other by a bus 34.

  An input / output interface 35 is further connected to the bus 34. The input / output interface 35 includes an input unit 36 including a keyboard, a mouse, a touch pad, and a microphone, an output unit 37 including a display and a speaker, a storage unit 38 including a hard disk and a non-volatile memory, and a network interface. A communication unit 39, a drive 40 that drives a removable medium 41 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory are connected.

  In the personal computer 11-1 (computer) configured as described above, the CPU 31 loads, for example, a program stored in the storage unit 38 to the RAM 33 via the input / output interface 35 and the bus 34 and executes the program. By doing so, a series of processing described later is performed.

  The program executed by the personal computer 11-1 (CPU 31) is, for example, a magnetic disk (including a flexible disk), an optical disk (CD-ROM (Compact Disc-Read Only Memory), DVD (Digital Versatile Disc), etc.), magneto-optical. It is recorded on a removable medium 41, which is a package medium made of a disk or a semiconductor memory, or provided via a wired or wireless transmission medium such as a local area network, the Internet 12, or digital satellite broadcasting.

  The program can be installed in the computer by mounting the removable medium 41 in the drive 40 and storing it in the storage unit 38 via the input / output interface 35. Further, the program can be installed in a computer by being received by the communication unit 39 via a wired or wireless transmission medium and stored in the storage unit 38. In addition, the program can be installed in the computer in advance by storing it in the ROM 32 or the storage unit 38 in advance.

  FIG. 3 is a block diagram illustrating an example of a functional configuration realized in the personal computer 11-1 that executes the program. That is, when the personal computer 11-1 executes the program, the API address designation unit 61, the input value acquisition unit 62, the combination generation unit 63, the determination unit 64, the selection unit 65, the energy consumption acquisition unit 66, the regression analysis unit 67, And the table 68 is implement | achieved.

  The API address designating unit 61 performs the process of designating the address of the judgment program API of the judgment program for the energy saving performance of a house / unit provided by the National Institute for Architectural Research. The input value acquisition unit 62 acquires various values such as a value to be transmitted to a determination program for energy saving performance of a house / dwelling unit, which is input by a user operation on the input unit 36. The combination generation unit 63 is a value indicating the energy saving performance of the outer skin of the house among the values acquired by the input value acquisition unit 62, the amount of skin heat loss per unit temperature difference, the cooling period solar heat per unit solar radiation intensity Heating amount per unit temperature difference, amount of skin heat loss per unit temperature difference, amount of cooling period solar heat per unit solar intensity, and heating per unit solar intensity A combination is generated by combining one value from each value within the range of the amount of period solar heat acquired.

  The determination unit 64 determines a condition for repeating the procedure in the regression model calculation process. The selection unit 65 is information indicating a set of housing / dwelling unit combinations that affect energy consumption or generation, and selects one from one or a plurality of acquired information. In addition, the selection unit 65 generates the amount of skin heat loss per unit temperature difference, the cooling period solar heat acquisition amount per unit solar intensity, and the heating period solar heat acquisition amount per unit solar intensity generated by the combination generation unit 63. From the values within the respective ranges, any one of the combinations obtained by combining the values one by one is selected.

  The energy consumption acquisition unit 66 calls a program for judging energy-saving performance of houses and dwelling units provided by the National Institute for Architectural Research. The amount of skin heat loss per unit temperature difference and the cooling period solar heat per unit solar radiation intensity Of the combination of acquisition value and heating period solar heat intensity per unit solar radiation intensity, the selected combination and the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the housing Information indicating a set of equipment is sent to the judgment program. The energy consumption acquisition unit 66 is a standard primary energy consumption calculated from information indicating a combination, a floor area of a house, an energy saving standard area classification, an annual solar radiation area classification, and a set of housing equipment transmitted from the determination program. Get quantity and design primary energy consumption.

The regression analysis unit 67 calculates the amount of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar radiation intensity, A regression model is obtained by multiple regression analysis with the value of the amount of solar heat acquired during the heating period per unit solar intensity as an explanatory variable (independent variable) and the design primary energy consumption as an objective variable (dependent variable). More specifically, the regression analysis unit 67 uses the coefficient a, the coefficient b, the coefficient c, and the coefficient in the formula (1) when a set of a combination of housing and dwelling equipment that affects energy consumption or generation is defined. Find d.
Design primary energy consumption = a x skin heat loss per unit temperature difference
+ b x Cooling period solar heat gain per unit solar radiation intensity
+ c x heating period per unit solar radiation intensity
+ d
... Formula (1)

  Table 68 shows the floor area, energy saving standard area classification, and annual solar radiation area classification, the amount of skin heat loss per unit temperature difference, the cooling period solar heat per unit solar radiation intensity, which is determined by the floor plan and location of the house , And each range of the amount of solar heat acquired during the heating period per unit solar radiation intensity, a value indicating the combination generated by the combination generation unit 63, and a set of housing / dwelling unit combinations that affect energy consumption or generation , The reference primary energy consumption and the design primary energy consumption obtained from the determination program, the value indicating the regression model obtained by the regression analysis unit 67, and the like are stored in an editable and readable manner.

  The API address specifying unit 61 includes a host name acquisition unit 81, an IP (Internet Protocol) address acquisition unit 82, and a path acquisition unit 83. The host name acquisition unit 81 acquires the host name of the server 12 in which the determination program API of the determination program for energy saving performance of houses and dwelling units provided by the National Institute for Architectural Research is present. The IP address acquisition unit 82 acquires an IP address from the host name of the server 12 where the determination program API exists by using DNS (Domain Name System) or the like. In this case, the acquired IP address indicates the IP address of the server 12. The path acquisition unit 83 acquires a path indicating a directory (folder) where the determination program API exists. The path specifies a directory having a hierarchical structure in a file system for managing files recorded and stored in a recording medium (storage medium).

  The input value acquisition unit 62 includes a floor area / section acquisition unit 84, a skin energy saving performance value range acquisition unit 85, and an equipment combination information acquisition unit 86. The floor area / section acquisition unit 84 acquires the floor area of the house, the energy saving standard area section, and the annual solar radiation area section specified by the user. That is, the floor area / classification acquisition unit 84 is a value of each area for the main room, other rooms, and non-rooms, which is input by a user operation on the input unit 36 such as a keyboard, a mouse, or a touch pad. To get the floor area of the house.

  In addition, the floor area / classification acquisition unit 84 includes an energy-saving standard area class and an annual period that indicate an address input by a user operation on the input unit 36 such as a keyboard, a mouse, or a touch pad, and the address and the class in association with each other. From the list of solar radiation areas, obtain the energy saving standard area classification and annual solar radiation area classification. Alternatively, the floor area / segment acquisition unit 84 acquires an energy saving reference region segment and an annual solar radiation region segment that are directly input by a user operation on the input unit 36 such as a keyboard, a mouse, or a touch pad.

  The skin energy saving performance value range acquisition unit 85 is a value indicating the energy saving performance of the housing skin, the amount of skin heat loss per unit temperature difference, the cooling period solar heat acquisition amount per unit solar radiation intensity, and the unit solar radiation intensity per unit solar radiation intensity The upper limit value and the lower limit value of the range of the respective values of the heating period solar heat acquisition amount specified by the user are acquired.

  For example, the skin energy saving performance value range acquisition unit 85 acquires an upper limit value and a lower limit value that are input to a field (text box) by a user operation on the input unit 36 such as a keyboard, a mouse, or a touch pad. To do. Further, for example, the skin energy saving performance value range acquisition unit 85 is configured such that the upper limit value, the range width value, and the lower limit value that are input to the field by a user operation on the input unit 36 such as a keyboard, a mouse, or a touch pad. The upper limit value and the lower limit value of the range are acquired by acquiring the value of the range and the range width, or the median value and the range width.

  Furthermore, for example, the skin energy-saving performance value range acquisition unit 85 can display a range of a slider, a spin button, a radio button, a check box, a drop-down list, a combo box, or a visual displayed on the output unit 37 that is a display. An upper limit value and a lower limit value of the range may be acquired from values input from the user by operating the input unit 36 such as a keyboard, mouse, or touch pad on a panel to be specified. You may make it acquire the upper limit and lower limit of the range input with the sound from the part 36. FIG.

  The skin energy saving performance value range acquisition unit 85 includes an initial value setting unit 101. The initial value setting unit 101 stores, in advance, an outer skin heat loss amount per unit temperature difference, a cooling period solar heat acquisition amount per unit solar radiation intensity, and a heating period solar heat acquisition amount per unit solar radiation intensity. The value of the value range is set in the skin energy saving performance value range acquisition unit 85 as an initial value. Whether the skin energy saving performance value range acquisition unit 85 displays the value set by the initial value setting unit 101 on the display as the input unit 36 as the initial value, and acquires the initial value as it is as the upper limit value and the lower limit value of the range. Alternatively, the value changed from the initial value by the user operation is acquired as the upper limit value and the lower limit value of the range.

  The facility combination information acquisition unit 86 specifies a field (text box), slider, spin button, radio button, check box, drop-down list, combo box, or visual range displayed on the output unit 37 that is a display. Information indicating a set of residential facilities that affect energy consumption or generation is acquired from a value input by the user by operating the input unit 36 such as a keyboard, mouse, or touch pad on a panel or the like.

  The energy consumption acquisition unit 66 includes a connection unit 87, a transmission unit 88, a reception unit 89, and an analysis unit 90. The connection unit 87 is an IP address (IP address of the server 12) and path of the determination program API acquired by the National Institute of Advanced Industrial Science and Technology, which is acquired by the API address designating unit 61, for the determination program for energy saving performance of houses and dwelling units. Create a socket from and connect to the judgment program API.

  The transmitter 88 includes, in the connected determination program API, a skin heat loss amount per unit temperature difference, a cooling period solar heat acquisition amount per unit solar intensity, and a heating period solar heat acquisition amount per unit solar intensity. The selected combination of the value combinations and the information indicating the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the set of equipment of the house are transmitted.

  The determination program being executed by the server 12 uses the determination program API to obtain an amount of skin heat loss per unit temperature difference, a cooling period solar heat acquisition amount per unit solar radiation intensity, and a heating period solar heat per unit solar radiation intensity. When information is sent that shows the selected combination of each value of the acquisition amount, the floor area of the house, the energy-saving standard area classification, the annual solar radiation area classification, and a set of housing equipment, Processes for determining the energy-saving performance of houses and dwelling units, and calculating the standard primary energy consumption based on the energy-saving standard, the standard primary energy consumption based on the low-carbon standard, and the design primary energy consumption calculated from the transmitted information The processing result including it is sent.

  The receiving unit 89 receives a processing result transmitted from the determination program via the determination program API. The analysis unit 90 analyzes the processing result obtained from the determination program, and obtains the reference primary energy consumption and the design primary energy consumption.

  Next, a regression model calculation process performed by the personal computer 11-1 that executes the program will be described with reference to the flowchart of FIG. In step S11, the API address designating unit 61 performs a process of designating the address of the determination program API.

  FIG. 5 is a flowchart for explaining the details of the address designation process of the determination program API. In step S31, the host name acquisition unit 81 of the API address designating unit 61 acquires a signal (input from the input unit 36 such as a keyboard, a mouse, or a touch pad) operated by the user, thereby obtaining a URL (Uniform) input from the user. The host name of the server 12 in which the judgment program API of the judgment program for the energy saving performance of the house / dwelling unit provided by the National Institute for Construction Research is provided.

  In step S32, the API address specifying unit 61 determines whether or not the host name has been acquired in the procedure of step S31 based on whether or not the host name is null (empty). If it is determined in step S32 that the host name could not be acquired, the procedure proceeds to step S33, and the API address specifying unit 61 sets the server host name to http://house.app.lowenergy.jp, and the procedure is as follows. The process proceeds to step S34.

  On the other hand, if it is determined in step S32 that the host name has been acquired, the procedure in step S33 is skipped, and the procedure proceeds to step S34.

  In step S34, the IP address acquisition unit 82 of the API address designating unit 61 accesses the DNS server via the Internet 13, and uses the host (in this case, the server 12) from the host name obtained in step S31 or step S33. Get the IP address. In step S35, the path acquisition unit 83 of the API address designating unit 61 is a path input from the user by acquiring a signal from the input unit 36 such as a keyboard, mouse, or touchpad operated by the user. The path indicating the directory (or folder) of the judgment program API of the judgment program for the energy saving performance of the house / dwelling unit provided by the National Research and Development Institute of Architecture is obtained.

  In step S36, the API address specifying unit 61 determines whether or not the path has been acquired in the procedure of step S35, depending on whether or not the path is null (empty). If it is determined in step S36 that the path could not be acquired, the procedure proceeds to step S37, and the API address specifying unit 61 specifies the IP address and path of the determination program API with the path as / api / v1 / eval. Therefore, the process of specifying the address of the determination program API ends, and the process returns to the calculation of the regression model.

  On the other hand, if it is determined in step S36 that the path has been acquired, the IP address and path of the determination program API are specified, so the procedure of step S37 is skipped and the process returns to the regression model calculation process.

  Returning to FIG. 4, in step S <b> 12, the floor area / section acquisition unit 84 of the input value acquisition unit 62 acquires a signal from the input unit 36 such as a keyboard, a mouse, or a touchpad operated by the user. Get the floor area of the house, the energy saving standard area classification and the annual solar radiation area classification, which are input from The floor area / category acquisition unit 84 uses the floor area of the house, the energy saving standard area classification, and the annual solar radiation area classification as a variable A.

  In step S13, the skin energy saving performance value range acquisition unit 85 of the input value acquisition unit 62 is a range input from the user by acquiring a signal from the keyboard, mouse, or touchpad operated by the user, Values indicating the energy-saving performance of the housing skin, each of the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity Get the range. That is, in step S13, the skin energy saving performance value range acquisition unit 85 obtains the amount of skin heat loss per unit temperature difference, the cooling period solar heat acquisition amount per unit solar radiation intensity, and the heating period solar heat acquisition amount per unit solar radiation intensity. The upper limit value and the lower limit value of the range specified by the user are acquired.

  In step S14, the combination generation unit 63 acquires the amount of skin heat loss per unit temperature difference, the cooling period solar heat acquisition amount per unit solar radiation intensity, and the heating period solar radiation per unit solar radiation intensity acquired in the procedure of step S13. A combination is generated by combining one value from each value within the range of the heat gain. In step S14, the combination generation unit 63 generates a plurality of combinations. For example, the combination generation unit 63 determines the upper limit value and the lower limit value of the amount of skin heat loss per unit temperature difference, the cooling period solar heat acquisition amount per unit solar intensity, and the heating period solar heat acquisition amount per unit solar intensity. To generate a combination.

  In addition, for example, the combination generation unit 63 has an upper skin heat loss amount per unit temperature difference, a cooling period solar heat acquisition amount per unit solar intensity, and a heating period solar heat acquisition amount per unit solar intensity, A combination is generated by combining the lower limit value and the median value. Further, for example, the combination generation unit 63 indicates the respective ranges of the skin heat loss amount per unit temperature difference, the cooling period solar heat acquisition amount per unit solar intensity, and the heating period solar heat acquisition amount per unit solar intensity. The upper limit value to the lower limit value are divided into predetermined numbers such as 3 or 4 at equal intervals, and the upper limit value and the lower limit value are combined with the division boundary value to generate a combination.

  In step S15, the equipment combination information acquisition unit 86 of the input value acquisition unit 62 acquires information from the user by acquiring a signal from the input unit 36 such as a keyboard, mouse, or touchpad operated by the user. Thus, one or more pieces of information indicating a set of residential equipment combinations that affect energy consumption or generation are acquired.

  The information acquired in steps S12 to S15 and the generated information are stored in the table 68 in association with each other.

In step S <b> 16, the selection unit 65 selects one of information indicating a set of house equipment combinations acquired in the procedure of step S <b> 15 and sets it as a variable C _sel . For example, the selection unit 65 selects, from the table 68, one of the information indicating the set of house facilities acquired in the procedure of step S15 in the order of acquisition or randomly selects the information. In addition, the selection unit 65 stores a flag indicating that the information indicating the set of facilities of the selected house is selected as the variable C _sel or a variable having a predetermined value in the table 68.

In step S17, the selection unit 65 generates the amount of skin heat loss per unit temperature difference, the amount of cooling period solar heat acquired per unit solar radiation intensity, and the heating period solar heat generated per unit solar radiation intensity generated in the procedure of step S14. One of the combinations of the acquisition amount values is selected and set as a variable B _sel . For example, the selection unit 65 selects one of the combinations from the table 68 in ascending order, descending order, or randomly. In addition, the selection unit 65 stores a flag indicating that the selected combination is selected as the variable B _sel or a variable having a predetermined value in the table 68.

  In step S <b> 18, the energy consumption acquisition unit 66 performs processing for acquiring the reference primary energy consumption and the designed primary energy consumption.

  FIG. 6 is a flowchart for explaining the details of the process of acquiring the reference primary energy consumption and the designed primary energy consumption. In step S51, the connection unit 87 of the energy consumption acquisition unit 66 obtains the TCP (Transmission) from the IP address (IP address of the server 12) and the path of the determination program API obtained by the process of specifying the address of the determination program API. A socket for control protocol / IP access is created, and the communication unit 39 comprising a network interface is controlled to connect to the determination program API (IP address) via the Internet 13.

In step S52, the transmission unit 88 of the energy consumption acquisition unit 66 controls the communication unit 39 formed of a network interface, and the variable A, variable B _sel , And an input set consisting of the variable C _sel . That is, the transmission unit 88 causes the communication unit 39 to transmit an input set including the variable A, the variable B _sel , and the variable C _sel to the determination program via the determination program API.

The judgment program uses the judgment program API, variable A indicating the floor area of the house, energy-saving standard area classification, and annual solar radiation area classification, skin heat loss per unit temperature difference, cooling period solar heat per unit solar radiation intensity When an input set consisting of a variable B _sel , which is a combination of the acquired amount, and each value of the heating period solar heat acquired amount per unit solar radiation intensity, and a variable C _sel indicating a set of housing equipment is input, The energy-saving performance of the house and dwelling unit is judged for the set, and the processing results including the standard primary energy consumption in the energy-saving standard, the standard primary energy consumption in the low-carbon standard, and the design primary energy consumption are expressed in XML (Extensible Markup Language) method, so in step S53, the receiving unit of the energy consumption acquisition unit 66 9 controls the communication unit 39 composed of a network interface, through the determination program API transmitted from the determining program, receives the processing result. That is, the receiving unit 89 causes the communication unit 39 to receive the processing result transmitted from the determination program via the determination program API.

  In step S54, the analysis unit 90 of the energy consumption acquisition unit 66 parses (analyzes) the processing result obtained from the determination program via the determination program API, and generates the reference primary energy consumption (reference primary in the energy saving standard). Obtaining energy consumption and standard primary energy consumption under low-carbon standards) and design primary energy consumption, the process of obtaining the standard primary energy consumption and design primary energy consumption is completed, and the regression model is calculated. Return to processing.

Returning to FIG. 4, in step S <b> 19, the determination unit 64 refers to the table 68 and acquires the amount of skin heat loss per unit temperature difference and the cooling period solar heat per unit solar radiation intensity generated in the procedure of step S <b> 14. It is determined whether there is a combination that is not selected as the variable B _sel in the combination of the amount and the value of the heating period solar heat acquisition amount per unit solar radiation intensity. If it is determined in step S19 that there is a combination that has not been selected as the variable B _sel in the generated combination, the procedure returns to step S17, and the above-described processing is repeated.

When it is determined in step S19 that there is no unselected combination in the generated combination, the procedure proceeds to step S20, and the regression analysis unit 67 selects the combination of the house / dwelling equipment selected as the variable C _sel. As a explanatory variable (independent variable), the amount of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar intensity, and heating period solar heat gain per unit solar intensity Then, the regression model shown in Equation (1) is obtained by multiple regression analysis using the designed primary energy consumption as an objective variable (dependent variable). The regression analysis unit 67 stores the obtained regression model values in the table 68 in association with a set of the combination of the house / dwelling equipment selected as the variable C _sel . In other words, the regression analysis unit 67 associates the table 68 with a set of the combination of the house / dwelling equipment selected as the variable C _sel , the coefficient a, the coefficient b, the coefficient c, and the coefficient in Expression (1). Stores d.

In step S <b> 21, the determination unit 64 refers to the table 68, and in the information indicating the set of residential equipment acquired in the procedure of step S <b> 15, there is information indicating a combination that is not selected as the variable C _sel. Determine whether. In step S21, when it is determined that there is information indicating a combination that is not selected as the variable C _sel in the acquired information indicating the set of residential equipment combinations, the procedure returns to step S16, and the above-described processing is performed. Repeated.

In step S21, when it is determined that there is no information indicating a combination that is not selected as the variable C _sel in the acquired information indicating a set of residential equipment combinations, the regression model calculation process ends.

  In this way, for each set of residential equipment combinations, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of heating during the heating period per unit solar intensity A combination of quantity values is selected once, a set of residential equipment and the amount of skin heat loss per unit temperature difference, cooling period solar heat per unit solar intensity, and heating per unit solar intensity Standard primary energy consumption (standard primary energy consumption based on energy-saving standards and standard primary energy consumption based on low-carbon standards) and design primary energy consumption are calculated for the combination of the values of period solar heat gain. The amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, The value of the heating period solar heat gain per fine unit solar irradiance as explanatory variables, the regression model for the purpose variable design primary energy consumption is calculated.

  For example, for a set of residential equipment combinations, a combination of values of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar intensity, and heating period solar heat gain per unit solar intensity FIG. 7 shows a case where 2501 items are generated, and a regression model obtained by fixing a term that is a skin heat loss amount per unit temperature difference of 420.43 × mC value−438.32 × mH value + 87808.44 is obtained. Thus, the design primary energy consumption for each value in the range of the cooling period solar heat acquisition amount per unit solar radiation intensity and the heating period solar heat acquisition amount per unit solar radiation intensity can be easily obtained.

  Therefore, it is possible to easily compare and examine how the design primary energy consumption changes when various air conditioning facilities and hot water supply facilities are introduced. In other words, by integrating the cross-section corresponding to the combination of the amount of skin heat loss per unit temperature difference, the cooling period solar heat gain per unit solar intensity, and the heating period solar heat gain per unit solar intensity The overall image of the model of primary energy consumption can be grasped. In this case, the number of sets of residential facilities represents the number of cross sections.

  In this way, a set of residential equipment that provides the desired design primary energy consumption, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the heating per unit solar intensity It is possible to easily know the combination of period solar heat gain.

  This also makes it possible to more easily and more quickly select a set of residential equipment combinations that will provide the desired primary energy consumption for the design.

  The personal computers 11-1 to 11-3 and the server 12 are not limited to the Internet 13 and may be connected by a dedicated network or communication line for connecting a company office or the like.

  Further, the personal computer 11-1 may execute and call a program that performs the same processing as the determination program for energy saving performance of houses and dwelling units provided by the National Research and Development Corporation Building Research Institute.

  Although various data are described as being stored in the table 68, it may be an array or a database.

  As described above, the program executed by the personal computer 11-1 is the first acquisition step of acquiring the energy saving standard area classification and the annual solar radiation area classification specified by the user and determined by the floor area of the house and the location of the house. 4, which is an example of the above, and the amount of skin heat loss per unit temperature difference, cooling period solar heat gain per unit solar radiation intensity, and unit solar radiation, which are values indicating the energy saving performance of the housing skin. The procedure of step S13 of FIG. 4 which is an example of a second acquisition step for acquiring the upper limit value and the lower limit value of the range specified by the user within the respective values of the heating period solar heat acquisition amount per intensity. And the amount of skin heat loss per unit temperature difference and the cooling period per unit solar radiation intensity within the range indicated by the upper and lower limits. Step of FIG. 4 which is an example of a combination generation step for generating a plurality of combinations by combining one value from at least two values of the heat acquisition amount and the heating period solar heat acquisition amount per unit solar radiation intensity. The procedure of S14 and the procedure of step S15 of FIG. 4, which is an example of a third acquisition step, which is an example of a third acquisition step of acquiring information indicating a set of residential facilities that affect energy consumption or generation, specified by the user, are generated. 4, which is an example of a selection step for selecting one combination from among the combinations, and a determination program for determining the energy saving performance of the house by calculating the reference primary energy consumption and the design primary energy consumption Call the selected combination and the floor area of the house, the energy-saving standard area Calculated from the information indicating the combination of residential floor area, energy saving standard area classification, annual solar radiation area classification, and housing equipment. 4, which is an example of a calling step for obtaining the design primary energy consumption, and the procedure of step S17 and the procedure of step S18 are repeated by the number of generated combinations, and the combinations are explained as explanatory variables. And a regression model calculation process that further includes the procedure of step S20 in FIG. 4, which is an example of a regression model calculation step for calculating a regression model by multiple regression analysis using the designed primary energy consumption as a target variable. To do.

  In the procedure of step S18 of FIG. 4, the design primary energy consumption and the reference primary energy consumption calculated from the combination, the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the information indicating a set of housing equipment. Can be obtained. In this way, it is possible to more easily and more quickly determine a set of residential equipment combinations that provides the desired design primary energy consumption while more easily determining the primary energy consumption class.

  Moreover, in the procedure of step S18 of FIG. 4, the determination program provided from the National Research and Development Institute Building Research Institute can be called. In this way, it is possible to select a set of residential equipment combinations that will provide the desired primary energy consumption for design more reliably.

  Furthermore, in the procedure of step S18 in FIG. 4, the determination program can be called by the API. In this way, it is possible to more easily select a set of residential equipment combinations that provide the desired design primary energy consumption.

  In the procedure of step S15 in FIG. 4, a plurality of pieces of information indicating a set of residential facilities are acquired, and the procedures in steps S17 and S18 of FIG. 4, the regression model is calculated by multiple regression analysis using the combination as an explanatory variable and the design primary energy consumption as a target variable for each piece of information indicating a set of residential equipment in the procedure of step S20 in FIG. Can be done. In this way, it is possible to more easily and more quickly select a set of residential equipment combinations that achieves the desired design primary energy consumption from a plurality of sets of residential equipment combinations.

  The embodiment of the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present invention.

11-1 to 11-3 Personal computer, 12 server, 13 Internet, 31 CPU, 32 ROM, 33 RAM, 36 input unit, 38 storage unit, 39 communication unit, 41 removable media, 61 API address specification unit, 62 input value Acquisition unit, 63 combination generation unit, 64 determination unit, 65 selection unit, 66 energy consumption acquisition unit, 67 regression analysis unit, 68 table, 81 host name acquisition unit, 82 IP address acquisition unit, 83 path acquisition unit, 84 floor Area / category acquisition unit, 85 skin energy saving performance value range acquisition unit, 86 equipment combination information acquisition unit, 87 connection unit, 88 transmission unit, 89 reception unit, 90 analysis unit, 101 initial value setting unit

Claims (7)

A first acquisition step of acquiring a floor area of a house specified by a user, an energy saving standard area classification determined by a location of the house, and an annual solar radiation area classification;
Each of the amount of skin heat loss per unit temperature difference, cooling period solar heat acquisition amount per unit solar intensity, and heating period solar heat acquisition amount per unit solar intensity, which is a value indicating the energy saving performance of the housing skin. A second obtaining step of obtaining an upper limit value and a lower limit value of a range of values designated by the user;
Within each range indicated by the upper limit and the lower limit, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity A combination generation step of generating a plurality of combinations by combining one value from at least two values of each of
A third acquisition step of acquiring information indicating a set of the facility of the house specified by the user and affecting energy consumption or generation;
A selection step of selecting one combination from the generated combinations;
Calls a judgment program for calculating the reference primary energy consumption and the design primary energy consumption to determine the energy saving performance of the house, and the selected combination, the floor area of the house, the energy saving reference area classification, the year Sending information indicating a solar radiation area classification and a set of equipment of the house, information indicating the combination, the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the set of equipment of the house A calling step to obtain a design primary energy consumption calculated from
The selection step and the calling step are repeated for the number of the combinations generated,
A program that causes a computer to perform a regression model calculation process that further includes a regression model calculation step of calculating a regression model by multiple regression analysis using the combination as an explanatory variable and the design primary energy consumption as a target variable. The program according to claim 1,
In the calling step, the designed primary energy consumption and the reference primary energy calculated from the combination, the floor area of the house, the energy saving reference area classification, the annual solar radiation area classification, and the information indicating a set of equipment of the house. The program for which consumption is obtained. The program according to claim 1,
In the calling step, the determination program provided by the National Institute for Building Science is called. The program according to claim 1,
In the calling step, the determination program is called by an API (Application Programming Interface). The program according to claim 1,
In the third acquisition step, a plurality of pieces of information indicating a set of facilities of the house are acquired,
The selection step and the calling step are repeated for the number of combinations generated for each piece of information indicating a set of equipment of the house.
In the regression model calculation step, the regression model is calculated by multiple regression analysis using the combination as an explanatory variable and the design primary energy consumption as a target variable for each piece of information indicating a set of equipment of the house. . A first acquisition step of acquiring a floor area of a house specified by a user, an energy saving standard area classification determined by a location of the house, and an annual solar radiation area classification;
Each of the amount of skin heat loss per unit temperature difference, cooling period solar heat acquisition amount per unit solar intensity, and heating period solar heat acquisition amount per unit solar intensity, which is a value indicating the energy saving performance of the housing skin. A second obtaining step of obtaining an upper limit value and a lower limit value of a range of values designated by the user;
Within each range indicated by the upper limit and the lower limit, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity A combination generation step of generating a plurality of combinations by combining one value from at least two values of each of
A third acquisition step of acquiring information indicating a set of the facility of the house specified by the user and affecting energy consumption or generation;
A selection step of selecting one combination from the generated combinations;
Call a judgment program for calculating the standard primary energy consumption and the design primary energy consumption to determine the energy saving performance of the house, and select the combination, the floor area of the house, the energy saving standard area classification, the year Sending information indicating a solar radiation area classification and a set of equipment of the house, information indicating the combination, the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the set of equipment of the house A calling step to obtain a design primary energy consumption calculated from
The selection step and the calling step are repeated for the number of the combinations generated,
An information processing method further comprising a regression model calculating step of calculating a regression model by multiple regression analysis using the combination as an explanatory variable and the designed primary energy consumption as a target variable. First acquisition means for acquiring a floor area of a house designated by a user, an energy saving standard area classification determined by a location of the house, and an annual solar radiation area classification;
Each of the amount of skin heat loss per unit temperature difference, cooling period solar heat acquisition amount per unit solar intensity, and heating period solar heat acquisition amount per unit solar intensity, which is a value indicating the energy saving performance of the housing skin. Second acquisition means for acquiring an upper limit value and a lower limit value of a range of values designated by the user;
Within each range indicated by the upper limit and the lower limit, the amount of skin heat loss per unit temperature difference, the amount of solar heat acquired during the cooling period per unit solar intensity, and the amount of solar heat acquired during the heating period per unit solar intensity Combination generating means for generating a plurality of combinations by combining one value from at least two values of each of
Third acquisition means for acquiring information indicating a set of facilities of the house specified by the user and affecting energy consumption or generation;
Selecting means for selecting one combination from the generated combinations in a predetermined order;
For each selected combination, a determination program for calculating the reference primary energy consumption and the design primary energy consumption to determine the energy saving performance of the house is called, and the selected combination, the floor area of the house, Sending the energy saving standard area classification, the annual solar radiation area classification, and information indicating a set of the equipment of the house, the combination, the floor area of the house, the energy saving standard area classification, the annual solar radiation area classification, and the A calling means for obtaining a design primary energy consumption calculated from information indicating a set of residential equipment;
An information processing apparatus comprising: regression model calculating means for calculating a regression model by multiple regression analysis using the combination as an explanatory variable and the designed primary energy consumption as a target variable.