JP6040691B2 - Energy saving performance evaluation system, energy saving performance evaluation method, and energy saving performance evaluation program - Google Patents

Description

  The present invention relates to an energy saving performance evaluation system, an energy saving performance evaluation method, and an energy saving performance evaluation program for evaluating energy saving performance of an apartment house.

  In recent years, effective use of resources has been demanded, and construction has been evaluated for energy saving performance (energy saving performance). The energy saving performance may be evaluated using, for example, an annual heat load coefficient (PAL) for a building having a large total area. In addition, for single-family houses and the like, performance evaluation is performed using a heat loss coefficient (Q value) and a summer solar radiation acquisition coefficient (μ value) (see, for example, Patent Document 1). This document describes heat loss coefficient-heating load approximation line information derived from simulation results based on building element information of basic specification buildings, and heat loss calculated from building element information of detached houses. The heating load is predicted and presented based on the coefficient. Thereby, the heating load can be presented quickly for a building slightly different from the basic specification building.

Japanese Patent Laid-Open No. 2002-4403

  In an apartment house, energy saving performance can be evaluated using a yearly heat load coefficient as a building having a large total area. However, the calculation method of the annual heat load coefficient is complicated, and a large burden is required for the energy-saving performance evaluation process.

  In addition, energy-saving performance can also be evaluated for apartment houses using heat loss coefficients and summer solar radiation acquisition coefficients in the same way as detached houses. However, in the case of an apartment house with upper and lower floors and adjacent rooms, the direction in which heat escapes to the outside is limited as opposed to a single-family house where heat escapes from all directions, front, rear, left, right, up and down. For this reason, it is difficult to accurately and quantitatively evaluate the energy saving performance of an apartment house by the same method as that for a detached house.

  The present invention has been made in view of the above problems, and an object thereof is to provide an energy saving performance evaluation system, an energy saving performance evaluation method, and an energy saving evaluation program for efficiently performing quantitative evaluation of energy saving performance for an apartment house. .

In order to solve the above-mentioned problems, the invention according to claim 1 is characterized in that a thermal conductivity storage means storing thermal conductivity according to the type of heat insulating material, an area division where an apartment house is constructed, and cooling A degree data storage unit that stores a load and a heating load in association with each other, an input unit that acquires input conditions, and an output unit that outputs an evaluation result, and includes a control unit that evaluates the energy saving performance of the apartment house. The control unit, from the input unit, the area classification of the apartment, the total floor area of the apartment, the total number of units , the number of the top and bottom floors, the floor height, the outer wall perimeter, the opening The condition acquisition means for acquiring the input condition including the opening area of the apparatus, the means for calculating the average floor area by dividing the total floor area of the apartment house by the total number of houses, and the apartment house specified in the input unit About the insulation used , Specifying the thermal conductivity from the thermal conductivity storage means, and specifying the thermal conductivity of the outer wall, roof, under floor, opening and thermal bridge of the apartment house according to the thermal conductivity and the configuration of the apartment house, A heat loss coefficient calculating means for calculating a heat loss coefficient for each of the uppermost, intermediate and lowermost floors using the heat transmissibility, the average floor area, and the acquired input conditions; and the degree data The cooling degree degree and the heating degree degree corresponding to the region classification are acquired from the data storage unit, and using these degree days and the calculated heat loss coefficients for the top floor, the middle floor and the bottom floor , the top floor, the middle floor and calculating a separate heating and cooling loads lowest floor, calculated top floor, each of the intermediate floor and the lowest floor by the heating and cooling load, by multiplying the top floor of the number of units, the intermediate floor number of units and the lowest floor of the number of units To calculate the evaluation value It makes the gist further comprising a performance evaluation means for calculating energy-saving performance of the entire apartment, and output means for outputting the evaluation value to the output unit.

The invention according to claim 2 is the energy-saving performance evaluation system according to claim 1 ,
Before SL control unit the Rukoto issuing calculate the intermediate floor number of units and the subject matter by subtracting the pre-Symbol the top floor and the bottom floor of the number of units from the total number of units.

  The invention according to claim 3 is the energy saving performance evaluation system according to claim 1 or 2, wherein the control unit is further connected to a reference heat loss coefficient storage unit storing a heat loss coefficient for each energy saving measure class. The condition acquisition means acquires an energy saving measure class to be compared, acquires a reference heat loss coefficient corresponding to the energy saving measure class from a reference heat loss coefficient storage unit, and the performance evaluation means Using the heat loss coefficient of the house and the specified reference heat loss coefficient, the gist is to evaluate the energy saving performance of the apartment house based on the difference from the energy saving measures.

  Invention of Claim 4 is the energy-saving performance-evaluation system of any one of Claims 1-3, The said control part was linked | related with the direction of the main opening of an apartment house, and the area of an apartment house Stores the azimuth coefficient data storage unit that stores the azimuth coefficient, the calculated value calculated from the projecting dimensions, the distance between the ridge and the window, the height of the window, the correction coefficient associated with the area and the main opening azimuth. A correction coefficient data storage unit, and an opening solar intrusion rate data storage unit that stores the solar intrusion rate of the opening associated with the glass specifications of the opening and the solar shielding type, and The condition acquisition means further acquires the orientation of the main opening of the housing complex, the protruding dimensions, the distance between the fence and the window, the height of the window, the glass specifications of the opening, and the solar shading object type, and the control unit acquires Orientation coefficient data from the direction and area of the main opening The orientation coefficient is specified in the data storage unit, the correction coefficient data is specified in the correction coefficient data storage unit, and the acquired aperture is obtained from the obtained protruding dimensions, the distance between the ridge and the window, the height of the window, the area, and the orientation of the main opening. From the glass specifications of the part and the type of solar shielding, the apparatus further comprises coefficient specifying means for specifying the solar intrusion rate of the opening in the opening solar intrusion rate data storage unit, and the performance evaluation means includes the specified azimuth coefficient and correction coefficient. And calculating the summer solar radiation acquisition coefficient using the solar radiation penetration rate of the opening, and the output means outputs to the output unit including the summer solar radiation acquisition coefficient as energy saving performance of the entire apartment house. To do.

The invention according to claim 5 stores the thermal conductivity storage means storing the thermal conductivity according to the type of heat insulating material, the area division where the apartment house is constructed, the cooling load and the heating load in association with each other. The energy saving performance of the housing complex is evaluated using an energy saving performance evaluation system that is connected to the degree data storage unit, the input unit that acquires the input condition, and the output unit that outputs the evaluation result and includes a control unit. The control unit, from the input unit, the area classification of the apartment house, the total floor area of the apartment house, the total number of houses , the number of the top and bottom floors, the floor height, the outer wall perimeter, the opening A condition acquisition stage for acquiring an input condition including an opening area, a stage for calculating an average floor area by dividing the total floor area of the apartment house by the total number of houses, and an apartment house specified in the input unit. Insulation Therefore, the thermal conductivity is identified from the thermal conductivity storage means, and the thermal conductivity of the outer wall, roof, under floor, opening and thermal bridge of the apartment is determined according to the thermal conductivity and the configuration of the apartment. A heat loss coefficient calculating step for calculating a heat loss coefficient in one house for each of the uppermost floor, the intermediate floor and the lowermost floor using the heat transmissibility, the average floor area, and the acquired input conditions; and the degree The cooling degree degree and the heating degree degree corresponding to the region classification are acquired from the data storage unit, and using these degree days and the calculated heat loss coefficients for the top floor, the middle floor, and the bottom floor , the top floor, the middle floor And the heating / cooling load for each lower floor is calculated, and the calculated heating / cooling loads for the uppermost floor, intermediate floor, and lowermost floor are multiplied by the number of uppermost floors, the number of intermediate floors, and the number of lowermost floors, respectively. The evaluation value obtained by adding these By leaving, and summarized in that the execution and performance evaluation step of calculating energy-saving performance of the entire apartment, and an output step of outputting the evaluation value to the output unit.

According to the sixth aspect of the present invention, the thermal conductivity storage means that stores the thermal conductivity according to the type of heat insulating material, the regional division in which the apartment house is constructed, the cooling load and the heating load are stored in association with each other. The energy saving performance of the housing complex is evaluated using an energy saving performance evaluation system that is connected to the degree data storage unit, the input unit that acquires the input condition, and the output unit that outputs the evaluation result and includes a control unit. The control unit, from the input unit, the area classification of the apartment house, the total floor area of the apartment house, the total number of houses , the number of the top and bottom floors, the floor height, the outer wall perimeter, the opening Condition acquisition means for acquiring an input condition including an opening area, means for calculating an average floor area by dividing the total floor area of the apartment house by the total number of houses, and used for the apartment house designated in the input unit Thermal insulation The thermal conductivity is identified from the thermal conductivity storage means, and the thermal conductivity of the outer wall, roof, under floor, opening and thermal bridge of the apartment is determined according to the thermal conductivity and the configuration of the apartment. A heat loss coefficient calculating means for calculating a heat loss coefficient for each of the top floor, the middle floor and the bottom floor using the heat flow rate, the average floor area, and the acquired input condition; The cooling degree degree and the heating degree degree corresponding to the region classification are acquired from the data storage unit, and using these degree days and the calculated heat loss coefficients for the top floor, the middle floor and the bottom floor , the top floor, the middle floor and calculating a separate heating and cooling loads lowest floor, calculated top floor, each of the intermediate floor and the lowest floor by the heating and cooling load, by multiplying the top floor of the number of units, the intermediate floor number of units and the lowest floor of the number of units , The evaluation value obtained by adding these By leaving, and summarized in that to function performance evaluation means for calculating energy-saving performance of the entire apartment, and the evaluation value as an output means for outputting to the output unit.

(Function)
According to the first, fifth, and sixth aspects of the present invention, the control unit, from the input unit, determines the area classification of the housing complex, the total floor area of the housing complex, the total number of units , the number of top and bottom floors, and the floor height. The average floor area is calculated by acquiring input conditions including the outer wall perimeter and the opening area of the opening , and dividing the total floor area of the apartment house by the total number of houses . The control unit specifies the thermal conductivity from the thermal conductivity storage means for the heat insulating material used for the apartment house specified in the input unit, and the outer wall of the apartment house according to the thermal conductivity and the configuration of the apartment house, Specify the heat transmissivity of the roof, under the floor, opening and thermal bridge, and use the heat transmissibility, the average floor area, and the acquired input conditions , one house for each of the top floor, middle floor and bottom floor The heat loss coefficient at is calculated. The control unit acquires the cooling degree degree and the heating degree degree corresponding to the regional division from the degree day data storage part, and uses the degree of heat loss coefficients for the top floor, the middle floor, and the bottom floor to calculate the top floor. calculates the intermediate floor and another heating and cooling loads lowest floor, calculated top floor, each of the intermediate floor and another heating and cooling loads lowest floor, the top floor of the number of units, the intermediate floor number of units and the lowest floor of the number of units By multiplying and calculating an evaluation value obtained by adding these, the energy saving performance of the entire apartment house is calculated, and the evaluation value is output to the output unit. As a result, the air conditioning load is calculated using the heat loss coefficient in one house, and the energy saving performance of the entire apartment house is calculated by the evaluation value obtained by multiplying the calculated heating and cooling load and the number of apartment houses. Quantitative evaluation of energy saving performance can be performed. As a result, even if the floor area and shape of each individual house are not used, the total floor area and the total number of houses in the apartment are used, considering the top floor, middle floor, and bottom floor, and efficient energy saving performance. Can be quantitatively evaluated.

According to the invention described in claim 2, the control unit, that to calculate the intermediate floor number of units by the total number of units for subtracting the top floor of the number of units and the lowest floor of the number of units.

  According to the third aspect of the present invention, the control unit acquires the energy saving measure class to be compared, and acquires the reference heat loss coefficient corresponding to the energy saving measure class from the standard specification heat loss coefficient storage unit. The control unit uses the heat loss coefficient of the apartment house and the specified reference heat loss coefficient to evaluate the energy saving performance of the apartment house as a difference amount from the energy saving measure. Thereby, since it evaluates with the difference amount from an energy saving measure grade, quantitative evaluation of energy saving performance can be performed more appropriately.

  According to the invention described in claim 4, the control unit further determines the orientation of the main opening of the housing complex, the protruding size, the distance between the fence and the window and the height of the window, the glass specification of the opening, and the solar radiation shielding type. get. The control unit specifies the orientation coefficient in the orientation coefficient data storage unit from the acquired direction and area of the main opening, and from the obtained heading size, distance between the window and the window, the height of the window, the area and the orientation of the main opening, A correction coefficient is specified in the correction coefficient data storage unit, and the solar radiation penetration rate of the opening is specified in the opening solar radiation penetration rate data storage unit based on the acquired glass specifications of the opening and the type of solar shield. The control unit further calculates the summer solar radiation acquisition coefficient using the specified azimuth coefficient, correction coefficient and solar radiation penetration rate of the opening, and outputs it to the output unit including the summer solar radiation acquisition coefficient as the energy saving performance of the entire apartment house To do. Thereby, quantitative evaluation of the energy saving performance of the apartment house with a balcony can be efficiently performed from another viewpoint.

  ADVANTAGE OF THE INVENTION According to this invention, energy saving performance can be efficiently quantitatively evaluated about an apartment house.

The schematic block diagram of the evaluation system in this embodiment. Explanatory drawing explaining the data structure memorize | stored in the coefficient data storage part of this embodiment. It is explanatory drawing explaining the data structure memorize | stored in the data memory | storage part of this embodiment, Comprising: (a) is a heat transmissivity data memory | storage part, (b) is a heat loss data memory | storage part, (c) is a solar radiation penetration rate. A data memory | storage part, (d) is explanatory drawing of an air conditioning load data memory | storage part. Explanatory drawing explaining the input data of this embodiment.

  Hereinafter, an embodiment of an energy saving evaluation system embodying the present invention will be described with reference to FIGS. Here, it is assumed that the energy saving performance of the apartment house is evaluated from the specifications (configuration, materials used, etc.) of the apartment house to be constructed. In this case, the carbon dioxide (CO2) reduction amount with respect to the energy saving measure grade is used as the evaluation value.

  As shown in FIG. 1, the evaluation system 20 of this embodiment is a computer system for evaluating energy saving, and is connected to an input unit 11 such as a keyboard and a pointing device, and an output unit 12 such as a display.

  The evaluation system 20 includes a control unit 21, a coefficient data storage unit 23, a degree data storage unit 24, an input data storage unit 25, a setting data storage unit 26, a thermal conductivity data storage unit 27, a heat loss data storage unit 28, a solar radiation An intrusion rate data storage unit 29 and an air conditioning load data storage unit 30 are provided.

  The control unit 21 includes control means including a CPU, a RAM, a ROM, and the like (not shown), and will be described later (input condition acquisition stage, average floor area calculation stage, coefficient specification stage, heat transmissivity calculation stage, heat loss coefficient calculation. A process including a stage, a summer solar radiation acquisition coefficient calculation stage, a performance evaluation stage air conditioning heating load calculation stage, a CO2 reduction amount calculation stage, and an output stage). Then, by executing the energy saving evaluation program for this purpose, the control unit 21 causes the input condition acquisition unit 210, the average floor area calculation unit 211, the coefficient identification unit 212, the heat transmissivity calculation unit 213, and the heat loss coefficient calculation unit 214. It functions as summer solar radiation acquisition coefficient calculation means 215, air conditioning load calculation means 216, CO2 reduction amount calculation means 217, output display means 218, and the like. In this embodiment, the summer solar radiation acquisition coefficient calculation means 215, the heating / cooling load calculation means 216, and the CO2 reduction amount calculation means 217 function as performance evaluation means.

The input condition acquisition unit 210 executes a process of acquiring an input condition of an evaluation target apartment house for evaluating energy saving performance.
The average floor area calculating unit 211 executes a process of calculating the average floor area using the input dedicated unit total floor area and the number of dwelling units.

The coefficient specifying unit 212 executes processing for specifying a coefficient used for evaluation using the acquired input condition and each table data stored in the coefficient data storage unit 23.
The heat transmissivity calculating means 213 executes processing for calculating the heat transmissivity using the selected heat insulating material type, heat insulating material thickness, and glass specifications of the opening. Therefore, the heat transmissivity calculating means 213 stores calculation formulas for calculating the heat transmissivity of the outer wall, the roof, the underfloor, the outer wall heat bridge portion, the beam type heat bridge portion, and the opening.

  The heat loss coefficient calculation unit 214 performs a process of calculating the heat loss coefficient Q using the input condition, the specified coefficient, and the calculated heat transmissibility. For this reason, the heat loss coefficient calculating means 214 stores calculation formulas for calculating the heat loss coefficients of the uppermost floor, the intermediate floor, and the lowermost floor, respectively.

  The summertime solar radiation acquisition coefficient calculating means 215 executes a process of calculating the summertime solar radiation acquisition coefficient μ using the input condition, the specified coefficient, and the calculated heat transmissibility. For this reason, the summertime solar radiation acquisition coefficient calculating means 215 stores calculation formulas for calculating the summertime solar radiation acquisition coefficient μ on the top floor, the intermediate floor, and the bottom floor, respectively.

The heating / cooling load calculation means 216 executes a process of calculating the intrusion flow ratio and the cooling / heating load using the heat loss coefficient Q, and stores the calculation in the cooling / heating load data storage unit 30.
The CO2 reduction amount calculation means 217 executes a process of calculating the CO2 reduction amount of the entire apartment house and the average CO2 reduction amount per door, and stores it in the air conditioning load data storage unit 30.
The output display unit 218 functions as an output unit, and executes a process of acquiring the calculated CO2 reduction amount from the cooling / heating load data storage unit 30 and displaying it on the output unit 12.

  As shown in FIG. 2, the coefficient data storage unit 23 stores a table for each coefficient used for evaluation of energy saving performance. Specifically, a thermal conductivity table 230, an orientation coefficient table 231, a correction coefficient table 232, an opening solar radiation penetration rate table 233, and a reference heat loss coefficient table 234 are stored. In the present embodiment, the coefficient data storage unit 23 functions as a thermal conductivity storage unit, an orientation coefficient data storage unit, a correction coefficient data storage unit, and a reference heat loss coefficient storage unit. These coefficient tables are recorded in advance before the evaluation process by the evaluation system 20 is performed.

  In the heat conductivity table 230 of the heat insulating material, the heat conductivity of the material belonging to the heat insulating material section and the name of the material (material name) belonging to the heat insulating material section are recorded in association with the heat insulating material section. . By using this thermal conductivity table 230, the thermal conductivity can be specified from the heat insulating material classification or the material name.

  In the azimuth coefficient table 231, an azimuth coefficient is recorded in association with the azimuth of the main opening and the region classification. This azimuth coefficient is a coefficient for adjusting the amount of solar radiation according to the area and the azimuth of the main opening.

  In the correction coefficient table 232, correction coefficients are recorded in association with the area division, the orientation of the main opening, and the value L1 (or L2). The values L1 and L2 are coefficients for adjusting the amount of solar radiation using the distance Y1 between the ridge and the window, the height Y2 of the window, and the protruding dimension Z (L1 = Y1 / Z, L2 = (Y1 + Y2)). / Z).

In the opening solar radiation penetration rate table 233, the solar radiation penetration rate η0 of the opening for evaluating the effect of the sunshade is recorded in association with the solar shading object type and the glass specification.
In the reference heat loss coefficient table 234, the reference heat loss coefficient is recorded in association with the region classification and the energy saving grade.

  The degree day data storage unit 24 stores data relating to the integrated temperature (cooling degree day and heating degree day) for each region. The cooling degree degree and the heating degree day are acquired and recorded from the extended degree day table data stored in the CD-ROM issued by the building environment / energy saving mechanism.

In the area classification data area, data relating to an identifier for specifying each area is recorded.
In the cooling degree data area, data relating to the cooling degree day (the product of the difference between the outside air temperature and the cooling set temperature and the integrated value of time) is recorded.
In the heating degree data area, data relating to the heating degree (the product of the difference between the outside air temperature and the heating set temperature and the integral value of the time) in this area is recorded.

  The input data storage unit 25 stores data related to the input conditions (preconditions and dwelling unit conditions) acquired by the input condition acquisition unit 210. Specifically, the area division scheduled for construction of the housing complex, the energy saving measure class to be compared, the CO2 basic unit, the air conditioning COP, the number of units on the top floor and the bottom floor are stored. Furthermore, data on the direction of the main opening, exterior wall type, roof insulation material type, exterior wall thermal bridge part type, beam type thermal bridge part type, exterior wall insulation material type, floor insulation material type, glass specifications of the opening, solar radiation shielding type Is memorized. In addition, total floor area, number of units, average floor height, average ceiling height, outer wall circumference, outer wall thickness, floor slab thickness, roof insulation thickness, exterior insulation thickness, floor insulation thickness, opening area Data relating to the dimensions, the distance between the ridge and the window, and the height of the window is stored.

In the area division data area, data relating to an identifier for specifying the area division scheduled to be constructed for the apartment house is recorded.
In the energy saving measure class data area, data related to measure grades to be compared for energy saving evaluation is recorded.

In the CO2 basic unit data area, data relating to a conversion amount that is reduced from electric power to CO2 when output and displayed as a CO2 reduction amount is recorded.
In the air-conditioning COP data area, data relating to the coefficient of performance (COP: the ratio of heat / cold energy generated during air-conditioning to the amount of power consumption) of the air-conditioning equipment used in this apartment is recorded.

In the uppermost floor data area and the lowermost floor data area, data relating to the uppermost floor number and the lowermost floor number of the apartment house are recorded, respectively.
In the main opening direction data area, data on the direction (direction) of the main opening of the apartment house is recorded.

In the outer wall type data area, data relating to an identifier for specifying the type of structure of the outer wall of the apartment house is recorded.
In the roof heat insulating material type data area, data relating to an identifier for specifying the type of heat insulating material used for the roof is recorded.

In the outer wall thermal bridge section type data area and the beam type thermal bridge section type data area, data relating to an identifier for specifying the type of structure of the outer wall thermal bridge section and the beam type thermal bridge section is recorded.
In the outer wall heat insulating material type data area and the floor heat insulating material type data area data area, data relating to an identifier for specifying the type of heat insulating material used for the outer wall and the floor is recorded, respectively.

In the glass specification data area of the opening, data relating to an identifier for specifying the specification of the glass used for the opening is recorded.
In the solar shading object type data area, data relating to an identifier for specifying the type of spec of the solar shading object in the opening is recorded.

In the exclusive part total floor area data area, data relating to the total value of the floor area of the exclusive part of the apartment house is recorded.
In the dwelling unit data area, data relating to the dwelling unit number of the apartment house is recorded. In the present embodiment, data related to the total number of houses in the apartment house is recorded.

In the average floor height data area and the average ceiling height data area, respective data relating to the average floor height and the average ceiling height of the apartment house are recorded.
In the outer wall circumference data area, data relating to the average outer wall circumference per house is recorded in this apartment house.

  The outer wall thickness data area, floor slab thickness data area, roof insulation thickness data area, outer wall insulation thickness data area, and floor insulation thickness data area are the outer wall thickness, floor slab thickness, and roof insulation, respectively. Data relating to the thickness of the material and the thickness of the outer wall insulation is recorded.

In the opening area data area, data relating to the opening area of an opening (for example, a window for going out to a balcony) in one house is recorded.
In the squeeze dimension data area, data relating to the dimension in the direction in which the scab provided above the opening extends outward is recorded. In the present embodiment, the protruding dimension is the width of the ridge (the ridge provided on the balcony or the opening).
In the distance data area between the eyelid and the window, data relating to the distance between the eyelid and the opening (window) is recorded.
Data relating to the height of the opening (window) is recorded in the window height data area.

  The setting data storage unit 26 stores setting values calculated based on input conditions designated by the input unit 11 and data relating to the specified setting values. Specifically, data relating to the average floor area calculated based on the input conditions, the thermal conductivity of the specified heat insulating material, the correction coefficient, the solar radiation penetration rate η0 of the opening, and the reference heat loss coefficient are stored. The average floor area is recorded when the average floor area calculating unit 211 calculates the average floor area. The thermal conductivity, the correction coefficient, the solar radiation penetration rate η0 of the opening, and the reference heat loss coefficient are recorded when the coefficient specifying unit 212 specifies the coefficient.

In the average floor area data area, data related to the average floor area per apartment house is recorded.
In the heat conductivity data area of the heat insulating material, data on the heat conductivity of the heat insulating material used in the apartment is recorded.

In the correction coefficient data area, correction coefficients used for the dwelling unit conditions of the apartment house are recorded.
In the opening portion solar radiation penetration rate data area, data relating to a coefficient indicating an effect of blocking the solar radiation to the house is recorded according to the glass specification of the opening portion of the apartment house and the presence / absence or type of the solar shading object in the opening portion.
In the reference heat loss coefficient data area, data related to the reference heat loss coefficient of the energy saving grade (energy saving grade) to be compared with the energy saving performance of the apartment house is recorded.

  As shown in FIG. 3A, the thermal conductivity data storage unit 27 stores thermal conductivity data 270 registered by the thermal conductivity calculation means 213. The heat transmissibility data 270 includes data on the heat transmissivity of each of the outer wall, roof, under floor, outer wall thermal bridge, beam-type thermal bridge, and opening.

  The outer wall data area, roof data area, underfloor data area, outer wall thermal bridge data area, beam-type thermal bridge data area, and opening data area are the outer wall, roof, underfloor, outer wall thermal bridge section, and beam-type heat, respectively. Data relating to the thermal conductivity at the bridge and opening is recorded.

  As shown in FIG. 3B, the heat loss data storage unit 28 stores heat loss amount data 280 and heat loss coefficient data 281, 282, and 283 for the uppermost floor, intermediate floor, and lowermost floor. These heat loss amount data 280 and heat loss coefficient data 281, 282, and 283 are recorded when the heat loss coefficient calculation means 214 calculates. The heat loss data 280 relates to the amount of heat loss and ventilation heat loss in the roof, under the floor, outer wall, opening, thermal bridge (outer wall), thermal bridge (upper beam), and thermal bridge (lower beam). Contains data.

Roof data area, underfloor data area, outer wall data area, opening data area, thermal bridge (outer wall) data area, thermal bridge (upper beam) data area, thermal bridge (lower beam) data area include roof, Data on the amount of heat loss from each part of the floor, outer wall, opening, thermal bridge (outer wall), thermal bridge (upper beam), and thermal bridge (lower beam) is recorded.
In the ventilation heat loss data area, data related to the heat loss due to ventilation is recorded.

  The heat loss coefficient data 281, 282, and 283 include data relating to the total heat loss amount and the heat loss coefficient Q for the uppermost floor, intermediate floor, and lowermost floor.

In the total heat loss data area, the amount of heat loss from each part of the roof, under floor, outer wall, opening, thermal bridge (outer wall), thermal bridge (upper beam), thermal bridge (lower beam), Data relating to the total amount of ventilation heat loss is recorded.
In the heat loss coefficient data area, data relating to the heat loss coefficient Q in one house calculated from the total heat loss amount and the average floor area is recorded.

  As shown in FIG. 3C, the solar radiation penetration rate data storage unit 29 stores solar radiation penetration rate data 291, 292, and 293 for the top floor, intermediate floor, and bottom floor. These solar radiation penetration rate data 292 are recorded when the summer solar radiation acquisition coefficient calculation means 215 calculates.

  The solar intrusion rate data 291, 292, and 293 include the solar intrusion rate, solar intrusion rate, and summer solar radiation acquisition coefficient for each part of the roof, outer wall, opening, thermal bridge (outer wall), and thermal bridge (upper beam). Data on is included.

The roof data area, outer wall data area, opening data area, thermal bridge section (outer wall) data area, and thermal bridge section (upper beam) data area are respectively the roof, outer wall, opening, thermal bridge section (outer wall), Data on the solar radiation penetration rate of the thermal bridge (upper beam) is recorded.
In the solar radiation penetration rate data area, data relating to the solar radiation penetration rate is recorded.
In the summertime solar radiation acquisition coefficient data area, data relating to the summertime solar radiation acquisition coefficient μ is recorded.

  As shown in FIG. 3D, the heating / cooling load data storage unit 30 includes the standard heating / cooling load data 300, the heating / cooling load data 301, 302, 303 for the top floor, the middle floor, and the bottom floor, and the amount of CO2 reduction. Data 305, 306, 307 and total reduction amount data 309 are stored. The heating / cooling load data 300, 301, 302, 303 are recorded when the heating / cooling load calculation means 216 calculates the heating / cooling load, and the CO2 reduction amount data 305, 306, 307 and the total reduction amount data 309 are the CO2 reduction amount calculation means. 217 is recorded when the reduction amount is calculated.

  The air conditioning load data 300 of the standard specification relates to the heating load, the heating CO2 emission amount, the cooling load, the cooling CO2 emission amount, the cooling and heating load, and the heating and cooling CO2 emission amount calculated using the reference heat loss coefficient corresponding to the energy saving class to be compared. Contains data.

  The heating / cooling load data 301, 302, and 303 for the top floor, the middle floor, and the bottom floor include the heating load calculated using the heat loss coefficient calculated for the top floor, the middle floor, and the bottom floor, the heating CO2 emission amount, Data on cooling load, cooling CO2 emission, cooling / heating load, and cooling / CO2 emission are included.

In the heating load data area and the heating CO2 emission amount data area, data relating to the heating load and the CO2 emission amount obtained by converting the heating load is recorded, respectively.
In the cooling load data area and the cooling CO2 emission amount data area, data related to the cooling load and the CO2 emission amount obtained by converting the cooling load are recorded, respectively.
In the air conditioning load data area and the air conditioning CO2 emission data area, data related to the air conditioning load and the CO2 emissions converted from the air conditioning load are recorded, respectively.

  The CO2 reduction amount data 305, 306, and 307 include data relating to the heating / cooling load difference amount and the CO2 reduction amount for the top floor, the middle floor, and the bottom floor.

  In the air conditioning load difference data area and the CO2 reduction data area, data on the difference from the standard specification air conditioning load and data on the CO2 reduction converted from the difference are recorded, respectively.

The total reduction amount data 309 includes the total CO2 reduction amount of the entire apartment house and the CO2 reduction amount per unit.
In the total CO2 reduction amount data area, data relating to the CO2 reduction amount of the entire apartment house is recorded.
In the CO2 reduction amount data area per unit, data on the CO2 reduction amount per unit of the apartment is recorded.

Next, processing executed by each means of the control unit 21 described above will be described in detail.
The input condition acquisition unit 210 outputs an input screen for acquiring input conditions such as a precondition and a dwelling unit condition to the output unit 12 and uses the input unit 11 to select a selected item and an input value (input value). ) To get. Here, on the input screen, the climate characteristics (regional classification), standard specifications (compared to energy saving measures) and CO2 basic unit for construction of this apartment are selected as preconditions for processing, respectively, and air conditioning COP, top floor And the number of houses on the lowest floor is input respectively.

  As shown in FIG. 4, the input screen further includes an item display field 510 for inputting dwelling unit conditions. In this item display column 510, the orientation in which the main opening is directed, the outer wall type, the roof heat insulating material type, the outer wall thermal bridge type, the beam type thermal bridge type, the outer wall heat insulating material type, the floor heat insulating material type, the glass of the opening Specifications and solar shading object type are selected. In addition, in this item display column 510, the dedicated part total floor area, the number of units, average floor height, average ceiling height, outer wall perimeter, outer wall thickness, floor slab thickness, roof heat insulating material thickness, outer wall heat insulating material thickness, floor heat insulating material Each value of thickness, opening area, protruding dimension Z, distance Y1 between the window and window, and window height Y2 is input. The input condition acquisition unit 210 stores the acquired item and input value in the input data storage unit 25.

The average floor area calculating unit 211 calculates the average floor area by dividing the input dedicated unit total floor area by the number of dwelling units, and stores it in the setting data storage unit 26.
The coefficient specifying means 212 specifies the thermal conductivity, orientation coefficient, correction coefficient fc, solar radiation penetration rate η0 of the opening, and reference heat loss coefficient.

About the heat conductivity of a heat insulating material, it specifies using the selected heat insulating material division or material name, and the heat conductivity table 230. FIG.
Further, the azimuth coefficient is specified by using the area division, the direction (direction) of the main opening, and the azimuth coefficient table 231.

  Further, correction coefficients f1 and f2 used for the correction coefficient fc are calculated. Specifically, for these correction coefficients f1 and f2, as is well known, a value L1 obtained by dividing the distance Y1 between the eyelid and the window by the projecting dimension Z, the distance Y1 between the eyelid and the window, and the height of the window. The correction coefficient table 232 is used for identification according to the value L2 obtained by dividing the value obtained by adding Y2 by the projecting dimension Z, the area division scheduled for construction of the housing complex, and the direction of the main opening. As is well known, the correction coefficient fc is calculated using the correction coefficients f1 and f2, the protruding dimension Z, the distance Y1 between the window and the window, and the window height Y2.

The solar radiation penetration rate η0 of the opening is specified using the solar shading object type, the glass specification, and the solar radiation penetration rate table 233 of the opening.
The reference heat loss coefficient is specified by using the region classification, the energy saving grade, and the reference heat loss coefficient table 234.
Then, the coefficient specifying unit 212 stores the specified coefficient in the setting data storage unit 26.

The heat transmissivity calculating means 213 calculates the heat transmissivity of each of the outer wall, the roof, the underfloor, the outer wall thermal bridge, the beam type thermal bridge, and the opening as well known. Specifically, for the outer wall thermal conductivity, substitute the thermal conductivity, outer wall thickness, thermal conductivity of the outer wall thermal insulation and outer wall thermal insulation thickness according to the outer wall type into the outer wall thermal permeability calculation formula. calculate. The roof heat transmissibility is calculated by substituting the thermal conductivity and the roof heat insulating material thickness according to the roof heat insulating material type into the roof heat transmissivity calculating formula. Further, the thermal conductivity and the thickness of the floor heat insulating material according to the floor heat insulating material type are calculated by substituting them into the underfloor heat transmissivity calculation formula. The outer wall thermal bridge thermal conductivity is calculated by substituting the thermal conductivity and material thickness according to the outer wall thermal bridge type into the outer wall thermal bridge thermal conductivity calculation formula. The thermal conductivity of the beam-type thermal bridge section is calculated by substituting the thermal conductivity and material thickness according to the type of the beam-type thermal bridge section into the formula for calculating the thermal conductivity of the beam-type thermal bridge section. About an opening part flow rate, the heat flow rate of the glass specification of an opening part is substituted and calculated for an opening part flow rate calculation formula.
The heat transmissivity calculating means 213 stores the calculated heat transmissivity in the heat transmissibility data storage unit 27.

The heat loss coefficient calculation unit 214 calculates the heat loss coefficients of the top floor, the middle floor, and the bottom floor.
In this case, the heat loss coefficient calculating means 214 first uses the respective heat transmissibility stored in the heat transmissibility data storage unit 27 to use the roof, the floor, the outer wall, the opening, the outer wall thermal bridge, and the lower beam thermal bridge. The amount of heat loss and the amount of ventilation heat loss are calculated. Specifically, the amount of heat loss of the roof is calculated by multiplying the thermal conductivity of the roof and the average floor area. The amount of heat loss under the floor is calculated by multiplying the under-floor heat transmissivity and the average floor area. The heat loss amount of the outer wall is calculated by multiplying the outer wall perimeter and the floor height, and subtracting the opening area from this to multiply the heat transmissivity of the outer wall. The amount of heat loss in the opening is calculated by multiplying the heat transmissivity of the opening by the opening area. The amount of heat loss in the outer wall thermal bridge is calculated by multiplying the floor height, the heat transmissivity of the outer wall thermal bridge, and a value that is half the outer wall insulation thickness. The heat loss of the lower beam thermal bridge is calculated by multiplying the outer wall perimeter, the heat transmissivity of the beam type thermal bridge, and half the slab thickness. The amount of loss is calculated as half of the amount of heat loss in the lower beam thermal bridge. The ventilation heat loss amount is calculated by multiplying the ceiling height, the average floor area, the specific heat of the air, and the ventilation frequency. In the present embodiment, “0.5” is used as the ventilation frequency.

  Then, the heat loss coefficient calculating means 214 records the calculated heat loss amounts of the outer wall, roof, under floor, outer wall heat bridge portion, beam-type heat bridge portion, and opening portion, and the ventilation heat loss amount. Data 280 is generated and recorded in the heat loss data storage unit 28.

  Next, the heat loss coefficient calculation unit 214 calculates the heat loss coefficient of the top floor on the assumption that there is no heat loss down the floor because there is a room below the floor on the top floor. Specifically, the amount of heat loss and ventilation heat loss of the roof, outer wall, opening, outer wall thermal bridge portion, and upper beam thermal bridge portion recorded in the heat loss data storage unit 28 in the uppermost heat loss coefficient calculation formula. The heat loss coefficient of the top floor is calculated by substituting the quantity and the average floor area.

  Further, the heat loss coefficient calculation means 214 calculates the heat loss coefficient of the lowermost floor, assuming that there is no heat loss to the roof and the upper beam thermal bridge portion because there is a room on the lowermost floor. Specifically, each heat loss amount of the outer wall, the opening, the outer wall heat bridge portion, and the lower beam heat bridge portion recorded in the heat loss data storage unit 28 and the ventilation heat loss are calculated in the lowest-order heat loss coefficient calculation formula. The heat loss coefficient of the lowest floor is calculated by substituting the quantity and the average floor area.

  Further, the heat loss coefficient calculation means 214 calculates the heat loss coefficient of the intermediate floor on the assumption that there is no heat loss to the roof, under the floor, and the upper beam thermal bridge portion because there are rooms on the upper and lower floors in the intermediate floor. Specifically, the amount of heat loss of the underfloor, outer wall, opening, outer wall thermal bridge, and lower beam thermal bridge recorded in the heat loss data storage unit 28 in the intermediate floor heat loss coefficient calculation formula, and the ventilation heat The heat loss coefficient of the intermediate floor is calculated by substituting the loss amount and the average floor area.

  Then, the heat loss coefficient calculation means 214 generates floor type heat loss coefficient data 281, 282, and 283 respectively recording the calculated heat loss total and heat loss coefficient Q for each of the highest floor, intermediate floor, and bottom floor. Then, it is recorded in the heat loss data storage unit 28.

  Summertime solar radiation acquisition coefficient calculation means 215 calculates summertime solar radiation acquisition coefficients for the top floor, intermediate floor, and bottom floor. In this case, for the summer solar radiation acquisition coefficient μ on the top floor, the average floor is multiplied by the sum of the solar radiation intrusion amounts of the roof, outer wall, opening, upper beam thermal bridge and outer wall thermal bridge. Calculated by dividing by area. The summer solar radiation acquisition coefficient μ on the intermediate floor and the lower floor has no sunshine from the roof and upper beam thermal bridge. Calculated by multiplying by a coefficient and dividing by the average floor area.

  Here, the solar radiation intrusion amount of the roof is calculated by multiplying the average floor area by the conversion coefficient (0.034) and the thermal conductivity of the roof. The amount of solar radiation entering the outer wall is calculated by subtracting the opening area from the value obtained by multiplying the outer wall circumference by the floor height, and multiplying this value by the conversion coefficient and the heat transmissivity of the outer wall. The amount of solar radiation entering the outer wall thermal bridge portion is calculated by multiplying the conversion coefficient and the thermal permeability of the outer wall thermal bridge portion. The amount of solar radiation entering the upper beam thermal bridge is calculated by multiplying the conversion coefficient by the thermal transmissivity of the beam type thermal bridge.

The solar radiation intrusion amount of the opening is calculated by multiplying the opening area by the summer solar radiation infiltration rate of the opening. Here, the summer solar radiation penetration rate of the opening is calculated by multiplying the solar radiation penetration rate η0 of the opening by the correction coefficient fc.
Then, the summertime solar radiation acquisition coefficient calculating means 215 records the calculated summer solar radiation acquisition coefficients μ of the top floor, intermediate floor, and bottom floor in the solar radiation intrusion rate data storage unit 29.

  The air conditioning / heating load calculating means 216 calculates the intrusion flow rate and the air conditioning / heating load for the top floor, the middle floor, and the bottom floor. Specifically, the heating / cooling load calculation means 216 uses the heat penetration coefficient Q recorded in the heat loss data storage unit 28 and the summer solar radiation acquisition coefficient μ recorded in the solar radiation penetration rate data storage unit 29. Calculate by dividing. Next, the cooling / heating load calculating means 216 adds the cooling load obtained by multiplying the heat loss coefficient Q by the average floor area and the cooling degree day, and the heating load obtained by multiplying the heat loss coefficient Q by the average floor area and the heating degree day. The air conditioning load is calculated. Furthermore, the cooling / heating load calculating means 216 calculates the CO2 emission amount by multiplying the calculated cooling load, heating load, and cooling / heating load by the air conditioning COP and the CO2 basic unit.

  The CO2 reduction amount calculating means 217 calculates the standard specification cooling load, heating load, and cooling / heating load for the top floor, the middle floor, and the bottom floor using the reference heat loss coefficient. Then, the CO2 reduction amount calculation means 217 calculates the heating / cooling load difference amount by subtracting the heating / cooling load calculated by the heating / cooling load calculation means 216 from the calculated standard heating / cooling load for each of the uppermost floor, the middle floor, and the lowermost floor. And stored in the heating / cooling load data storage unit 30.

  Then, the CO2 reduction amount calculating means 217 calculates the number of intermediate floors by subtracting the number of top and bottom floors stored in the input data storage unit 25 from the total number of houses. Next, the CO2 reduction amount calculation means 217 multiplies the air conditioning load difference amounts on the top floor, intermediate floor, and bottom floor by the number of units, and totals them to obtain the total CO2 reduction amount of the entire apartment house. calculate. Then, the CO2 reduction amount calculation means 217 calculates the average CO2 reduction amount per unit by dividing the calculated CO2 reduction amount of the entire apartment house by the total number of houses.

  The output display unit 218 functions as an output unit, and the heating / cooling load data storage unit 30 stores the heating / cooling load differential amount between the uppermost floor, the middle floor, and the lowermost floor, the CO2 reduction amount and the average CO2 reduction amount per unit of the entire apartment. And is displayed on the output unit 12.

According to this embodiment, the following effects can be obtained.
(1) In this embodiment, the control part 21 of the evaluation system 20 acquires the input conditions of the apartment house of evaluation object via the input part 11, and calculates an average floor area using this input conditions, Specify coefficients such as thermal conductivity of thermal insulation and standard heat loss coefficient. The control unit 21 calculates the heat transmissivity from the input conditions, the thermal conductivity, and the like, and calculates the heat loss coefficient Q and the summer solar radiation acquisition coefficient μ using the heat transmissibility and the average floor area. The control unit 21 calculates an air conditioning load using the calculated heat loss coefficient Q, calculates a difference amount from the air conditioning load corresponding to the energy saving grade using the air conditioning load, and calculates a CO2 reduction amount in one house. Then, by multiplying the CO2 reduction amount by the number of units, the CO2 reduction amount of the entire apartment is calculated and output to the output unit 12. Thereby, the amount of CO2 reduction in each house can be efficiently quantitatively evaluated using the average floor area. Moreover, since it evaluates using the CO2 reduction amount corresponding to the difference amount from the heating / cooling load corresponding to the energy saving grade, the energy saving performance can be quantitatively evaluated more accurately.

  (2) In this embodiment, the control unit 21 of the evaluation system 20 calculates the heat loss coefficient Q and the summer solar radiation acquisition coefficient μ for the top floor, the middle floor, and the bottom floor, and the top floor, the middle floor, and the bottom floor. Separately, a CO2 reduction amount is calculated. The control unit 21 multiplies each CO2 reduction amount by the number of houses on the top, middle and bottom floors using the average floor area calculated using the total floor area and the total number of apartments of the apartment house. Are calculated, and the amount of CO2 reduction of the entire apartment is calculated and output. As a result, energy saving performance can be efficiently achieved by considering the top floor, middle floor, and bottom floor by using the total floor area and total number of apartments without using the floor area and shape of each individual house. Can be quantitatively evaluated.

Moreover, you may change the said embodiment as follows.
-In above-mentioned embodiment, the control part 21 of the evaluation system 20 acquired the average outer-wall perimeter per house using the item display column 510 contained in an input screen. The perimeter of the outer wall may be calculated or obtained from the length of the apartment house, the floor area, or the like instead of the input.

  In the above embodiment, the control unit 21 of the evaluation system 20 performs the quantitative evaluation of the energy saving performance by distinguishing the top floor, the middle floor, and the bottom floor, but does not distinguish the top floor, the middle floor, and the bottom floor. It is also possible to do this. Specifically, the control unit 21 calculates the CO2 reduction amount in one house by multiplying the total number of houses. Furthermore, the control unit 21 obtains the total number of houses and the number of top and bottom floors, and uses these numbers to quantitatively evaluate the energy saving performance of the entire apartment building. Evaluation may be performed. Specifically, the control unit 21 calculates the number of units per floor (the number of top and bottom floors) by dividing the total number of units by the number of floors, and calculates the number of units on the top and bottom floors. The number of intermediate floors is calculated by subtracting from the total number of houses. And the amount of CO2 reduction of the whole apartment complex is calculated using the number of units on the top floor, the middle floor, and the bottom floor. In these cases, the calculation can be performed more easily.

  -In above-mentioned embodiment, although the control part 21 of the evaluation system 20 performed the quantitative evaluation of energy-saving performance using the average floor area which divided the whole exclusive floor area of the apartment house by the total number of houses, the exclusive floor area of a dwelling unit When there is a different dwelling unit, the heat loss coefficient Q may be calculated using the dedicated floor area of each dwelling unit instead of the average floor area. Further, when there is a dwelling unit having a greatly different heat loss coefficient Q such as a corner room, the heat loss coefficient Q may be calculated for each corner room and other rooms (door to door). Specifically, the control unit 21 stores a calculation formula for calculating the heat loss coefficient of the intermediate room and the corner room. Since the corner room has a longer outer wall circumference than the intermediate room, the equation for calculating the heat loss coefficient of the corner room is an expression in which the amount of heat loss from the outer wall is larger than that of the intermediate room. By using these calculation formulas, it is possible to efficiently perform a quantitative evaluation of the energy saving performance while considering the configuration of each house for the apartment house.

  Furthermore, according to the shape of the apartment house, the apartment house may be divided into a plurality of parts, a heat loss coefficient may be calculated for each room belonging to each part, and these may be added. For example, for an L-shaped apartment house, it is divided into a L-shaped vertical part and a horizontal part of the building room, and the heat loss coefficient of each part's room is calculated according to the direction of each main opening. To do. Then, by adding the calculated heat loss coefficients, the energy saving performance of the apartment house is quantitatively evaluated. Also in this case, it is possible to evaluate more accurately by calculating the heat loss coefficient Q for each of the top floor, the middle floor, and the bottom floor.

  In the above embodiment, the control unit 21 of the evaluation system 20 determines the heating / cooling load by calculating the difference in the heating / cooling load between the top floor, the middle floor, and the bottom floor, the CO2 reduction amount of the entire apartment house, and the average CO2 reduction amount per door. Obtained from the data storage unit 30 and displayed on the output unit 12. In addition, the control unit 21 may acquire the summer solar radiation acquisition coefficient μ for each of the top floor, intermediate floor, and bottom floor from the solar radiation penetration rate data storage unit 29 and display it on the output unit 12.

  In the above-described embodiment, the control unit 21 of the evaluation system 20 evaluated the energy saving performance using the CO2 reduction amount obtained by converting the difference amount with the standard specification cooling / heating load. In this case, the energy saving measure class to be compared is used as the standard specification, but the standard specification to be compared is not limited to this. Furthermore, the evaluation of the energy saving performance is not limited to this, and the evaluation may be performed based on the difference in heating / cooling load difference instead of the CO2 reduction amount. Further, the calculated heat loss coefficient Q and summer solar radiation acquisition coefficient μ may be compared with the respective energy saving judgment criteria and evaluated based on the comparison result. In this case, the control unit 21 retains data on the determination reference heat loss coefficient of the energy determination reference and the determination reference summertime solar radiation acquisition coefficient. Then, the control unit 21 compares the calculated heat loss coefficients of the uppermost floor, the intermediate floor, and the lowermost floor with the criterion heat loss coefficient. Here, when the heat loss coefficient is equal to or less than the determination reference heat loss coefficient, the control unit 21 displays a determination result indicating that the reference is satisfied on the output unit 12. On the other hand, when the heat loss coefficient is larger than the determination reference heat loss coefficient, a determination result that the reference is not satisfied is displayed on the output unit 12.

  In addition, the control unit 21 compares the calculated summer solar radiation acquisition coefficients of the top floor, the intermediate floor, and the lowest floor with the determination reference summer solar radiation acquisition coefficients. When the summer solar radiation acquisition coefficient is equal to or less than the determination reference summer solar radiation acquisition coefficient, the control unit 21 displays a determination result indicating that the standard is satisfied on the output unit 12. On the other hand, when the summer solar radiation acquisition coefficient is larger than the determination reference summer solar radiation acquisition coefficient, a determination result that the standard is not satisfied is displayed on the output unit 12. Thereby, the determination result corresponding to the evaluation standard of energy-saving performance can be output in each house of an apartment house.

  DESCRIPTION OF SYMBOLS 11 ... Input part, 12 ... Output part, 20 ... Evaluation system, 21 ... Control part, 23 ... Coefficient data storage part, 24 ... Degree day data storage part, 25 ... Input data storage part, 26 ... Setting data storage part, 27 DESCRIPTION OF SYMBOLS ... Heat transmissibility data storage part, 28 ... Heat loss data storage part, 29 ... Solar radiation penetration rate data storage part, 30 ... Heating / cooling load data storage part, 210 ... Input condition acquisition means, 211 ... Average floor area calculation means, 212 ... Coefficient specifying means, 213... Heat transmissivity calculating means, 214... Heat loss coefficient calculating means, 215... Summer solar radiation acquisition coefficient calculating means, 216 .. air conditioning load calculating means, 217... CO2 reduction amount calculating means, 218.

Claims (6)

Thermal conductivity storage means for storing thermal conductivity according to the insulation type, and
A degree data storage unit that stores the area division in which the housing complex is constructed, the cooling load and the heating load in association with each other;
An input unit for acquiring input conditions;
Connected to the output unit that outputs the evaluation results,
A system with a control unit for evaluating the energy saving performance of an apartment house,
The controller is
Conditions for acquiring input conditions including the area classification of the housing complex, the total floor area of the housing complex, the total number of houses , the number of top and bottom floors, the floor height, the outer wall perimeter, and the opening area of the opening from the input unit Acquisition means;
Means for calculating an average floor area by dividing the total floor area of the apartment house by the total number of units;
For the heat insulating material used in the apartment specified in the input unit, the thermal conductivity is specified from the thermal conductivity storage means, and the outer wall of the apartment, the roof according to the thermal conductivity and the configuration of the apartment, Identify the heat transmissivity of the floor, opening and thermal bridge,
A heat loss coefficient calculating means for calculating a heat loss coefficient in one house of the top floor, the middle floor, and the bottom floor using the heat transmissibility, the average floor area, and the acquired input condition;
Obtaining the cooling degree degree and the heating degree degree corresponding to the regional division from the degree day data storage unit, using these degree days and the calculated heat loss coefficients of the top floor, the middle floor and the bottom floor , the top floor, Calculate the heating / cooling load for the middle floor and the bottom floor ,
Calculated top floor, each of the intermediate floor and the lowest floor by the heating and cooling loads, the top floor of the number of units, by multiplying the intermediate floor of the number of units and the lowest floor of the number of units, to calculate the evaluation value obtained by adding these According to the performance evaluation means for calculating the energy saving performance of the entire apartment house,
An energy saving performance evaluation system comprising: output means for outputting the evaluation value to the output unit. Wherein the control unit, energy saving performance evaluation system according to claim 1, characterized in that to calculate the intermediate floor number of units by the previous SL Total units subtracting the top floor and the bottom floor of the number of units. The control unit is further connected to a reference heat loss coefficient storage unit that stores a heat loss coefficient for each energy saving measure class,
The condition acquisition means acquires an energy saving measure class to be compared, acquires a reference heat loss coefficient corresponding to the energy saving measure class from a reference heat loss coefficient storage unit,
The said performance evaluation means evaluates the energy-saving performance of an apartment house by the difference amount from an energy-saving measure using the heat loss coefficient of an apartment house, and the specified reference | standard heat loss coefficient, The characterized by the above-mentioned. 2. The energy saving performance evaluation system according to 2. The controller is
An azimuth coefficient data storage unit storing an azimuth coefficient associated with the direction of the main opening of the apartment house and the area of the apartment house;
A correction coefficient data storage unit that stores a correction coefficient associated with the projected dimension, the distance between the window and the window and the height of the window, the calculated value calculated from the area, and the orientation of the main opening;
It is further connected to the opening solar invasion rate data storage unit storing the solar intrusion rate of the opening associated with the glass specification of the opening and the solar shading object type,
The condition acquisition means further acquires the orientation of the main opening of the housing complex, the protruding dimension, the distance between the fence and the window and the height of the window, the glass specification of the opening, and the type of solar shield.
The controller is
Specify the orientation coefficient in the orientation coefficient data storage unit from the direction and area of the acquired main opening,
Specify the correction coefficient in the correction coefficient data storage unit from the obtained protruding dimensions, the distance between the window and the window, the height of the window, the area and the orientation of the main opening,
From the acquired glass specifications of the opening and the type of solar shield, further comprising coefficient specifying means for specifying the solar intrusion rate of the opening in the opening solar intrusion rate data storage unit,
The performance evaluation means further calculates a summer solar radiation acquisition coefficient using the specified azimuth coefficient, correction coefficient, and solar radiation penetration rate of the opening,
The energy saving performance evaluation system according to any one of claims 1 to 3, wherein the output means outputs the energy saving performance of the entire apartment house to the output section including the summer solar radiation acquisition coefficient. Thermal conductivity storage means for storing thermal conductivity according to the insulation type, and
A degree data storage unit that stores the area division in which the housing complex is constructed, the cooling load and the heating load in association with each other;
An input unit for acquiring input conditions;
Connected to the output unit that outputs the evaluation results,
A method for evaluating energy saving performance of an apartment house using an energy saving performance evaluation system including a control unit,
The controller is
Conditions for acquiring input conditions including the area classification of the housing complex, the total floor area of the housing complex, the total number of houses , the number of top and bottom floors, the floor height, the outer wall perimeter, and the opening area of the opening from the input unit The acquisition phase;
Calculating an average floor area by dividing the total floor area of the apartment house by the total number of units;
For the heat insulating material used in the apartment specified in the input unit, the thermal conductivity is specified from the thermal conductivity storage means, and the outer wall of the apartment, the roof according to the thermal conductivity and the configuration of the apartment, Identify the heat transmissivity of the floor, opening and thermal bridge,
A heat loss coefficient calculation step of calculating a heat loss coefficient in one house by the top floor, the middle floor, and the bottom floor using the heat transmissibility, the average floor area, and the acquired input conditions;
Obtaining the cooling degree degree and the heating degree degree corresponding to the regional division from the degree day data storage unit, using these degree days and the calculated heat loss coefficients of the top floor, the middle floor and the bottom floor , the top floor, Calculate the heating / cooling load for the middle floor and the bottom floor ,
Calculated top floor, each of the intermediate floor and the lowest floor by the heating and cooling loads, the top floor of the number of units, by multiplying the intermediate floor of the number of units and the lowest floor of the number of units, to calculate the evaluation value obtained by adding these According to the performance evaluation stage to calculate the energy saving performance of the entire apartment house,
An output step of outputting the evaluation value to the output unit is executed. Thermal conductivity storage means for storing thermal conductivity according to the insulation type, and
A degree data storage unit that stores the area division in which the housing complex is constructed, the cooling load and the heating load in association with each other;
An input unit for acquiring input conditions;
Connected to the output unit that outputs the evaluation results,
A program for evaluating energy saving performance of an apartment house using an energy saving performance evaluation system equipped with a control unit,
The control unit
Conditions for acquiring input conditions including the area classification of the housing complex, the total floor area of the housing complex, the total number of houses , the number of top and bottom floors, the floor height, the outer wall perimeter, and the opening area of the opening from the input unit Acquisition means,
Means for calculating an average floor area by dividing the total floor area of the apartment house by the total number of units;
For the heat insulating material used in the apartment specified in the input unit, the thermal conductivity is specified from the thermal conductivity storage means, and the outer wall of the apartment, the roof according to the thermal conductivity and the configuration of the apartment, Identify the heat transmissivity of the floor, opening and thermal bridge,
A heat loss coefficient calculating means for calculating a heat loss coefficient in one of the uppermost floor, the middle floor and the lowermost floor using the heat transmissibility, the average floor area, and the acquired input condition;
Obtaining the cooling degree degree and the heating degree degree corresponding to the regional division from the degree day data storage unit, using these degree days and the calculated heat loss coefficients of the top floor, the middle floor and the bottom floor , the top floor, Calculate the heating / cooling load for the middle floor and the bottom floor ,
Calculated top floor, each of the intermediate floor and the lowest floor by the heating and cooling loads, the top floor of the number of units, by multiplying the intermediate floor of the number of units and the lowest floor of the number of units, to calculate the evaluation value obtained by adding these By means of this, a performance evaluation means for calculating the energy saving performance of the entire apartment house, and an output means for outputting the evaluation value to the output unit, an energy saving performance evaluation program characterized by the above.

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