Building performance prediction method and program

Abstract

To provide a building performance prediction method and a program for predicting solar radiation and heat insulation performance in a target building simply and accurately.SOLUTION: A building performance prediction method comprises an acquisition step, a calculation step, and an output step, and predicts solar radiation and heat insulation performance in a target building. The acquisition step is a step of acquiring input conditions including building information having pitch numbers and heights as side lengths, area divisions in which buildings are built, and information on presence or absence of azimuth deviation. If there is no azimuth deviation, a normal line of a side of the building skin in plan view is set to face north, east, south, or west. If there is azimuth deviation, the normal line is set to face northeast, southeast, southwest, or northwest. The calculation step is a step of calculating a total area of the outer skin, an average heat transmission coefficient of the outer skin, an average solar heat gain coefficient in a cooling period, and the average solar heat gain coefficient in a heating period as calculation results based on the input conditions.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a building performance prediction method and program. [Background technology]

[0002] Recently, the spread of ZEH (Net Zero Energy House) has been promoted. ZEH is "a house that aims to achieve zero annual primary energy consumption by significantly improving the insulation performance of the building envelope, and by introducing highly efficient equipment systems to achieve significant energy savings while maintaining the quality of the indoor environment, and by introducing renewable energy." To achieve ZEH, it is necessary to improve the insulation performance of the building to reduce the energy required for air conditioning, install highly efficient air conditioning equipment, and create energy through solar power generation, etc. For this, it is necessary to accurately grasp the building envelope performance (insulation performance) and the energy consumption required for air conditioning, etc. in the building.

[0003] For example, Patent Document 1 describes an insulation performance estimation device, but this performs actual measurements using a temperature sensor and is not capable of predicting insulation performance at the design stage.

[0004] The energy consumption of a building can be calculated using a calculation program such as the "Building Energy Consumption Performance Calculation Program" published by the Building Research Institute, a national research and development agency. When using such a calculation program, information on the solar radiation and insulation performance of the target building is required as input conditions for calculating the energy consumption. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2014-009498 A Summary of the Invention [Problem to be solved by the invention]

[0006] The present disclosure has been invented in consideration of the above-mentioned problems in the conventional technology, and has an objective of providing a building performance prediction method and program for easily and accurately predicting the solar radiation and insulation performance of a target building. [Means for solving the problem]

[0007] A building performance prediction method according to one aspect of the present disclosure is a building performance prediction method for predicting solar radiation and thermal insulation performance of a target building, comprising an acquisition step, a calculation step, and an output step. The building is designed so that the length of one side of the outer skin in a plan view is an integer multiple of a preset reference pitch, the multiple sides are parallel or at right angles to each other, and the height of the outer skin is one of one or multiple preset heights. The acquisition step is a step of acquiring input conditions including building information having the number of pitches as the length of the side and the height, the regional division in which the building is built, and information on the presence or absence of azimuth deviation. When the azimuth deviation is absent, the normal of the side in the plan view of the outer skin is set to face north, east, south, or west, and when the azimuth deviation is present, the normal is set to face northeast, southeast, southwest, or northwest. The calculation step is a step of calculating the total area of ​​the outer wall, the average heat transfer coefficient of the outer wall, the average solar heat gain coefficient in a cooling season, and the average solar heat gain coefficient in a heating season as calculation results based on the input conditions. The output step is a step of outputting the calculation results.

[0008] A program according to one embodiment of the present disclosure causes one or more processors to execute the building performance prediction method. Effect of the Invention

[0009] According to the building performance prediction method and program of one aspect of the present disclosure, it is possible to easily and accurately predict the solar radiation and insulation performance of a target building. [Brief description of the drawings]

[0010] [Figure 1] 1A and 1B are diagrams illustrating a grid for designing a building according to one embodiment. [Diagram 2] FIG. 2 is a configuration diagram of the building performance prediction system in the above embodiment. [Diagram 3] FIG. 3 is a flow diagram of a building performance prediction method in the above embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] (overview) The present disclosure relates to a building performance prediction system, a building performance prediction method, and a program. More specifically, the present disclosure relates to a building performance prediction system, a building performance prediction method, and a program that can easily and accurately predict solar radiation and insulation performance of a target building.

[0012] (detail) A building performance prediction system, a building performance prediction method, and a program according to an embodiment of the present disclosure will be described in detail below with reference to Figures 1 to 3. First, a building that is a target of the building performance prediction system and the building performance prediction method will be described.

[0013] (1) Building The building has a roof, ceiling, exterior walls, floors, foundations, and openings that are related to the thermal insulation performance of the envelope. The building is two stories high, and each floor has multiple rooms separated by partitions.

[0014] The upper surface of the envelope, which forms the thermal boundary between the inside and outside of the building, is made up of the roof (or ceiling) excluding openings. The side surface of the envelope, which forms the thermal boundary between the inside and outside of the building, is made up of the exterior wall excluding openings. The lower surface of the envelope, which forms the thermal boundary between the inside and outside of the building, is made up of the floor (or foundation). Openings include entrances, windows, skylights, etc.

[0015] It should be noted that the buildings covered by this disclosure do not necessarily have to be actually constructed, but may be buildings that are primarily in the design stage or on rough plans.

[0016] The building in this embodiment is an industrialized house designed by selecting from preset grids and heights. As shown in FIG. 1A and FIG. 1B, in a plan view, a grid having a predetermined reference span S is defined in the vertical and horizontal directions perpendicular to each other. The reference span S is four times the length of the reference pitch, but may be three or two times the reference span S. The length of one side of the vertical and horizontal directions of the building's envelope is basically an integer multiple of the reference pitch and is expressed by the number of pitches. Note that the length of the vertical and horizontal sides of the envelope may be a part that is not an integer multiple of the reference pitch. For example, as shown in FIG. 1B, a setback SB having a depth half the reference span S may be formed. In addition, some of the sides of the envelope may not be perpendicular to other sides.

[0017] Similarly, the height of the outer skin (particularly the side parts) is designed to have one or more preset heights. Basically, the height of the side parts of the outer skin is determined by the number of floors, i.e. one, two, three, etc. Note that the height of the outer skin corresponding to each floor may be selectable from a number of heights (e.g., 240 cm and 260 cm).

[0018] The shape of the roof of the building is selected from a group of roof shapes including various shape patterns such as hipped roof, flat roof, etc. The shape, size, direction of each roof surface, and angle with respect to the horizontal plane of the roof are determined by the outer shape of the outer skin and the roof shape set by the grid.

[0019] (2) Building performance prediction system Next, the building performance prediction system 1 will be described. As shown in Fig. 2, the building performance prediction system 1 includes an acquisition unit 11, a storage unit 12, a calculation unit 13, and an output unit 14, and predicts solar radiation and insulation performance of a target building. The building performance prediction system can be realized, for example, by a computer system including one or more processors (microprocessors) and one or more memories. In other words, the one or more processors execute one or more (computer) programs (applications) stored in one or more memories, thereby functioning as a building performance prediction system.

[0020] The acquisition unit 11 acquires input conditions. The acquisition unit 11 has an interface 111 with an external device, and can acquire input conditions from an external storage device 15 via the interface 111. The acquisition unit 11 can also acquire input conditions from an input device 16, such as a mouse or a keyboard. The acquisition unit 11 can also acquire input conditions from both the external storage device 15 and the input device 16.

[0021] The input conditions acquired by the acquisition unit 11 include building information such as the number of pitches as the length of the side of the outer skin and the height, the roof shape, the area division in which the building is built, and information on the presence or absence of azimuth deviation.

[0022] A regional division is a grouping of a wide area (for example, the whole of Japan) into several regional divisions, and for each regional division, representative values ​​such as sunrise and sunset times by season (date), the direction and altitude of the sun at each hour, and temperature at each hour are used.

[0023] The azimuth deviation means that the normal of the side of the outer skin in a plan view deviates from the direction facing north, east, south, or west. Specifically, when there is no azimuth deviation, the normal of the side part of the outer skin is set as facing north, east, south, or west as part of the input conditions. When there is azimuth deviation, the normal of the side part of the outer skin is set as facing northeast, southeast, southwest, or northwest. Since there are only two patterns of azimuth deviation, "with" and "without", it is preferable to judge whether there is azimuth deviation or not from the viewpoint of whether the building actually constructed is close to azimuth deviation or no azimuth deviation. A specific explanation will be given using 16 directions. The surfaces of the outer skin whose normals face north, east, south, or west when there is no azimuth deviation are respectively set as provisional first surface to provisional fourth surface. In this case, if the provisional first plane faces north-northwest to north-northeast, the provisional second plane faces east-northeast to east-southeast, the provisional third plane faces south-southeast to south-southwest, and the provisional fourth plane faces west-southwest to west-northwest, then there is no deviation in the orientation. Also, if the provisional first plane faces northwest to north-northwest or north-northeast to northeast, the provisional second plane faces northeast to east-northeast or east-southeast to southeast, the provisional third plane faces southeast to south-southeast or south-southwest to southwest, and the provisional fourth plane faces southwest to west-southwest or west-northwest to northwest, then there is deviation in the orientation. Note that it can be arbitrarily decided which of the two sides the boundary of the orientation belongs to.

[0024] The storage unit 12 stores various data including the input conditions acquired by the acquisition unit 11. The storage unit 12 is appropriately configured with, for example, an Electrically Erasable Programmable Read Only Memory (EEPROM) or a Hard Disk Drive (HDD), but is not limited to these.

[0025] The calculation unit 13 calculates the total area (m 2 ), the average heat transfer coefficient of the outer shell U A (W / m 2 K), cooling period average solar heat gain rate η AC , heating season average solar heat gain rate η AH The calculation result is the amount of electricity generated (W) by solar panels that can be mounted on the roof.

[0026] The output unit 14 outputs the calculation results. The output unit 14 has an interface 141 with an output device 17 such as a display, and can output the calculation results to the output device 17.

[0027] (3) Building performance prediction method Next, a building performance prediction method will be described with reference to Fig. 3. The building performance prediction method includes an acquisition step, a calculation step, and an output step.

[0028] The acquisition step (step S1) is executed by the acquisition unit 11. The acquisition step is a step for acquiring input conditions including building information such as the number of pitches and height as the length of the side of the outer skin, the roof shape, the area division in which the building is to be built, and information on the presence or absence of azimuth deviation. The acquisition unit 11 acquires the input conditions from the external storage device 15 or the input device 16.

[0029] The storage step (step S2) is a step in which the input conditions acquired by the acquisition unit 11 are stored in the storage unit 12.

[0030] The calculation step (step S3) is executed by the calculation unit 13. The calculation step calculates the total area of ​​the outer skin, the average heat transmission coefficient U A , cooling period average solar heat gain rate η A,C , heating season average solar heat gain rate η A,H This is a step of calculating the amount of power generated by the solar power generation panels that can be mounted on the roof as a calculation result.

[0031] Total surface area of ​​the hull (m 2 ) is calculated by adding up the area of ​​each side of the skin, calculated by multiplying the horizontal length (m) calculated from the number of pitches by the height (m). The area of ​​the top surface of the skin is calculated by multiplying the vertical length (m) calculated from the number of pitches by the horizontal length (m) calculated from the number of pitches.

[0032] Average heat transfer coefficient of the outer shell U A (W / m 2 K) can be calculated by the following formula [Mathematical formula 1].

[0033]

number

[0034] Where: A i : Area of ​​the outer skin part (general part or opening) i (m 2 ) U i : Thermal transmittance of the outer skin part (general part or opening) i (W / m 2 K) H i : Temperature difference coefficient of the outer skin part (general part or opening) i L j : Length of the outer periphery j of the thermal bridge and the earthen floor (m) Psi J : Linear heat transmittance of the outer periphery of thermal bridges and earthen floors (W / mK) H J :Temperature difference coefficient of the outer periphery j of thermal bridges and earthen floors, etc. A env : Total area of ​​the outer skin (m 2 ) It is.

[0035] Cooling period average solar heat gain rate η A,C The average solar heat gain coefficient η during the heating season is calculated by the following formula [Equation 2]. A,H can be calculated using the following formula [Equation 3].

[0036]

number

[0037]

number

[0038] Where: η C,i : Solar heat gain coefficient during cooling season for exterior part (general part or opening) i η H,i : Solar heat gain coefficient during heating season for exterior part (general part or opening) i ν C,i : Orientation coefficient for cooling period of exterior part (general part or opening) i ν H,i : Orientation coefficient of the outer skin part (general part or opening) i during the heating period It is.

[0039] In addition, if part i of the exterior is shaded by a canopy or other means, the cooling season solar heat gain coefficient η C,i The solar heat gain coefficient η in the heating season is calculated by the following formula [4]. H,i can be calculated using the following formula [5].

[0040]

number

[0041]

number

[0042] Where: f sh,C,i :Coefficient of sunshade effectiveness for general area i during the cooling season f sh,H,i :Coefficient of sunshade effectiveness during heating season for general area i It is.

[0043] To calculate the amount of power generated by photovoltaic panels that can be mounted on the roof, first, the number of photovoltaic panels that can be mounted on each roof surface that constitutes the roof is calculated. To do this, the number of photovoltaic panels having a given shape that can be mounted is calculated based on the acquired roof shape and the shape and size of each roof surface. In addition, the amount of power generated is calculated taking into account the direction of each roof surface, its angle with respect to the horizontal plane, and the solar radiation received by the photovoltaic panels mounted on each roof surface, based on the regional classification. The amount of power generated by the photovoltaic panels on the entire roof is calculated by adding up the amount of power generated by each roof surface.

[0044] The output step (step S4) is executed by the output unit 14. The output step is a step of outputting the calculation result.

[0045] According to the above-mentioned building performance prediction method (building performance prediction system 1), the solar radiation and thermal insulation performance (total area of ​​the envelope, average heat transfer coefficient U A , cooling period average solar heat gain rate η A,C , heating season average solar heat gain rate η A,H , the amount of power generated by solar panels that can be mounted on the roof) can be predicted easily and accurately. In particular, by considering the presence or absence of deviation in the building's orientation, the average solar radiation heat gain coefficient η A,C and the average solar heat gain coefficient η during the heating season A,H can be calculated.

[0046] In addition, the amount of electricity generated by solar panels that can be installed on the roof is calculated, which is convenient as it makes it possible to grasp the amount of electricity generated when designing and operating a building that is particularly ZEH-compatible.

[0047] (4) Variations Next, possible modifications of the above-described embodiment will be described.

[0048] (4.1) Variation 1 In variant example 1, the calculation step further includes a step of setting the building orientation (direction) to unfavorable conditions when calculating the cooling season average solar heat gain coefficient and the heating season average solar heat gain coefficient, thereby increasing the safety of the calculation results (calculating to low specifications).

[0049] Specifically, the calculation step further includes a step of provisionally calculating the cooling season average solar heat gain coefficient of the building for each case in which the normal of the provisional first surface faces north, east, south, or west when there is no acquired azimuth deviation, and adopting the largest value among these as the cooling season average solar heat gain coefficient of the building.

[0050] In addition, the calculation step further includes a step of, when calculating the cooling season average solar heat gain coefficient, if there is an acquired azimuth deviation, provisionally calculating the cooling season average solar heat gain coefficient of the building for each case in which the normal of the provisional first surface faces northeast, southeast, southwest or northwest, and adopting the largest value among these as the cooling season average solar heat gain coefficient of the building.

[0051] Next, the calculation step further includes a step of provisionally calculating, when there is no azimuth deviation obtained, the heating season average solar heat gain coefficient of the building for each of the cases in which the normal of the provisional first surface faces north, east, south or west, and adopting the smallest value among these as the heating season average solar heat gain coefficient of the building.

[0052] In addition, the calculation step further includes a step of, when calculating the heating season average solar heat gain coefficient, if there is an acquired azimuth deviation, provisionally calculating the heating season average solar heat gain coefficient of the building for each case in which the normal of the provisional first surface faces northeast, southeast, southwest or northwest, and adopting the smallest value among these as the heating season average solar heat gain coefficient of the building.

[0053] In variant example 1, the presence or absence of azimuth deviation at a building construction site is determined, but the safety of the calculation results is increased in cases where the floor plan and overall shape of the building are determined but the direction of each wall is not determined.

[0054] (4.2) Variation 2 In variant example 2, the calculation step further includes a step of setting the orientation (azimuth) of the opening to unfavorable conditions when calculating the cooling season average solar heat gain coefficient and the heating season average solar heat gain coefficient, thereby increasing the safety of the calculation results (calculating to low specifications).

[0055] Specifically, the obtaining step further includes a step of obtaining a total opening area of ​​the openings formed in the outer skin as the input condition.

[0056] Next, the calculation step further includes a step of provisionally calculating, when there is no azimuth deviation obtained, the average solar heat gain coefficient during the cooling season at the opening for each case in which the normal of the opening having a total opening area faces north, east, south or west, and adopting the largest value among these as the average solar heat gain coefficient during the cooling season at the opening.

[0057] In addition, the calculation step further includes a step of provisionally calculating, when there is an azimuth deviation obtained, the cooling season average solar heat gain coefficient at the opening for each case in which the normal of the opening having a total opening area faces northeast, southeast, southwest or northwest, and adopting the largest value among these as the cooling season average solar heat gain coefficient at the opening.

[0058] Next, the calculation step further includes a step of provisionally calculating, when there is no azimuth deviation obtained, the heating season average solar heat gain coefficient at the opening for each case in which the normal of the opening having a total opening area faces north, east, south or west, and adopting the smallest value among these as the heating season average solar heat gain coefficient at the opening.

[0059] In addition, the calculation step further includes a step of provisionally calculating, when there is an acquired azimuth deviation, the heating season average solar heat gain coefficient at the opening for each case in which the normal of the opening having a total opening area faces northeast, southeast, southwest or northwest, and adopting the smallest value among these as the heating season average solar heat gain coefficient at the opening.

[0060] In variant example 2, the presence or absence of azimuth deviation at a building construction site is determined, and the safety of the calculation results is increased in cases where, although the layout and overall shape of the building are determined, the direction in which each wall and the openings formed in the wall face has not been determined.

[0061] (5) Description As is apparent from the above embodiment, the present disclosure includes the following aspects.

[0062] The first aspect is a building performance prediction method for predicting solar radiation and thermal insulation performance of a target building, comprising an acquisition step, a calculation step, and an output step. The building is designed so that the length of one side in a plan view of the outer skin is an integer multiple of a preset reference pitch, the multiple sides are parallel or at right angles to each other, and the height of the outer skin is one of one or multiple preset heights. The acquisition step is a step of acquiring input conditions including building information having the number of pitches and height as the length of the sides, the regional division in which the building is built, and information on the presence or absence of azimuth deviation. When there is no azimuth deviation, the normal of the side in the plan view of the outer skin is set to face north, east, south, or west, and when there is azimuth deviation, the normal is set to face northeast, southeast, southwest, or northwest. The calculation step is a step of calculating the total area of ​​the outer skin, the average overall heat transfer coefficient of the outer skin, the average solar heat gain coefficient in the cooling season, and the average solar heat gain coefficient in the heating season as calculation results based on the input conditions. The output step is a step of outputting the calculation results.

[0063] In the first aspect, the total area of ​​the envelope of the target building, the average heat transfer coefficient U A , cooling period average solar heat gain rate η A,C and the average solar heat gain coefficient η during the heating season A,H In particular, by considering the presence or absence of deviation in the building orientation, the cooling season average solar heat gain coefficient η A,C and the average solar heat gain coefficient η during the heating season A,H can be calculated.

[0064] The second aspect is a building performance prediction method based on the first aspect. In the second aspect, of the exterior skin, the surfaces whose normals face north, east, south, or west when there is no azimuth deviation are set as tentative first to tentative fourth surfaces, respectively. The calculation step is a step of calculating the cooling season average solar heat gain coefficient when there is no acquired azimuth deviation, provisionally calculating the cooling season average solar heat gain coefficient of the building for each case in which the normal of the tentative first surface faces north, east, south, or west, and adopting the largest value among these as the cooling season average solar heat gain coefficient of the building. The calculation step is a step of calculating the cooling season average solar heat gain coefficient when there is acquired azimuth deviation, provisionally calculating the cooling season average solar heat gain coefficient of the building for each case in which the normal of the tentative first surface faces northeast, southeast, southwest, or northwest, and adopting the largest value among these as the cooling season average solar heat gain coefficient of the building.

[0065] In the second aspect, the direction (orientation) of the building can be set to unfavorable conditions to increase the safety of the calculation results.

[0066] A third aspect is a building performance prediction method based on the first or second aspect. In the third aspect, of the exterior skin, the surfaces whose normals face north, east, south, or west when there is no azimuth deviation are set as tentative first to tentative fourth surfaces, respectively. The calculation step is a step of calculating the heating season average solar heat gain coefficient when there is no acquired azimuth deviation, provisionally calculating the heating season average solar heat gain coefficient of the building for each case in which the normal of the tentative first surface faces north, east, south, or west, and adopting the smallest value among these as the heating season average solar heat gain coefficient of the building. The calculation step is a step of calculating the heating season average solar heat gain coefficient when there is acquired azimuth deviation, provisionally calculating the heating season average solar heat gain coefficient of the building for each case in which the normal of the tentative first surface faces northeast, southeast, southwest, or northwest, and adopting the smallest value among these as the heating season average solar heat gain coefficient of the building.

[0067] In the third aspect, the direction (orientation) of the building can be set to unfavorable conditions to increase the safety of the calculation results.

[0068] A fourth aspect is a building performance prediction method based on any one of the first to third aspects. In the fourth aspect, the acquisition step is a step of acquiring the total opening area of ​​the openings formed in the outer skin as an input condition. The calculation step is a step of provisionally calculating the cooling season average solar heat gain coefficient at the openings for each case where the normal line of the openings having the total opening area faces north, east, south, or west when there is no acquired azimuth deviation, and adopting the largest value among these as the cooling season average solar heat gain coefficient at the openings. The calculation step is a step of provisionally calculating the cooling season average solar heat gain coefficient at the openings for each case where the normal line of the openings having the total opening area faces northeast, southeast, southwest, or northwest when there is acquired azimuth deviation, and adopting the largest value among these as the cooling season average solar heat gain coefficient at the openings.

[0069] In the fourth aspect, the orientation (direction) of the opening can be set to unfavorable conditions, thereby improving the safety of the calculation results.

[0070] A fifth aspect is a building performance prediction method based on any one of the first to fourth aspects. In the fifth aspect, the acquisition step is a step of acquiring the total opening area of ​​the openings formed in the outer skin as an input condition. The calculation step is a step of provisionally calculating the heating season average solar heat gain coefficient at the openings for each case where the normal line of the openings having the total opening area faces north, east, south, or west when there is no acquired azimuth deviation, and adopting the smallest value among these as the heating season average solar heat gain coefficient at the openings. The calculation step is a step of provisionally calculating the heating season average solar heat gain coefficient at the openings for each case where the normal line of the openings having the total opening area faces northeast, southeast, southwest, or northwest when there is acquired azimuth deviation, and adopting the smallest value among these as the heating season average solar heat gain coefficient at the openings.

[0071] In the fifth aspect, the orientation (direction) of the opening can be set to unfavorable conditions, thereby improving the safety of the calculation results.

[0072] A sixth aspect is a building performance prediction method based on any one of the first to fifth aspects. In the sixth aspect, the input conditions include information on the shape of the roof part of the building from a group of roof shapes including a hip roof and a flat roof. The calculation step further includes a step of calculating the amount of power generated by a photovoltaic power generation panel that can be mounted on the roof part based on the pitch number as the length of the side of the outer skin and the information on the roof shape.

[0073] In the sixth aspect, it is convenient to know the amount of electricity generated, for example, when designing or operating a ZEH-compatible building.

[0074] A seventh aspect is a program based on any one of the first to sixth aspects. In the seventh aspect, the program causes one or more processors to execute the building performance prediction method of any one of the first to sixth aspects.

[0075] In the seventh aspect, the total area of ​​the envelope of the target building, the average heat transfer coefficient U A , cooling period average solar heat gain rate η A,C and the average solar heat gain coefficient η during the heating season A,H In particular, by considering the presence or absence of deviation in the building orientation, the cooling season average solar heat gain coefficient η A,C and the average solar heat gain coefficient η during the heating season A,H can be calculated. [Explanation of symbols]

[0076] 1. Building performance prediction system 11 Acquisition Department 111 Interface 12 Storage section 13 Calculation section 14 Output section 141 Interface 15 External storage device 16 Input Devices 17 Output Devices

Claims

1. The method includes an acquisition step, a calculation step, and an output step, A building performance prediction method for predicting solar radiation and insulation performance in a target building, comprising: The building is: The length of one side of the outer skin in a plan view is an integer multiple of a preset reference pitch, and the multiple sides are parallel to each other or form a right angle, The height of the outer shell is designed to be one of one or more preset heights, The acquisition step is a step of acquiring input conditions including building information having the number of pitches as the length of the side and the height, a regional division in which the building is to be built, and information on the presence or absence of azimuth deviation, The azimuth deviation is In the case of none, the normal of the edge in a plan view of the outer skin is set to face north, east, south, or west; If yes, the normal is set to face northeast, southeast, southwest or northwest; The calculation step is a step of calculating a total area of ​​the outer shell, an average overall heat transmission coefficient of the outer shell, an average solar radiation heat acquisition coefficient in a cooling season, and an average solar radiation heat acquisition coefficient in a heating season as calculation results based on the input conditions, The output step is a step of outputting the calculation result. Methods for predicting building performance.

2. Among the outer skin, the surfaces whose normals face north, east, south, or west when the orientation deviation is zero are designated as provisional first to fourth surfaces, respectively; In calculating the cooling season average solar heat gain coefficient, the calculation step When the acquired azimuth deviation is absent, the cooling season average solar radiation heat acquisition coefficient of the building is provisionally calculated for each case in which the normal line of the provisional first surface faces north, east, south, or west, and the largest value among these is adopted as the cooling season average solar radiation heat acquisition coefficient of the building; a step of provisionally calculating the cooling season average solar radiation heat gain coefficient of the building for each of the cases where the normal line of the provisional first surface faces the northeast, southeast, southwest, or northwest when the acquired azimuth deviation exists, and adopting the largest value among these as the cooling season average solar radiation heat gain coefficient of the building; The building performance prediction method according to claim 1 .

3. Among the outer skin, the surfaces whose normals face north, east, south, or west when the orientation deviation is zero are designated as provisional first to fourth surfaces, respectively; In calculating the heating season average solar heat gain coefficient, the calculation step When the acquired azimuth deviation is absent, the heating season average solar heat gain coefficient of the building is provisionally calculated for each case in which the normal line of the provisional first surface faces north, east, south, or west, and the smallest value among these is adopted as the heating season average solar heat gain coefficient of the building; a step of provisionally calculating the heating season average solar heat gain coefficient of the building for each of the cases where the normal line of the provisional first surface faces the northeast, southeast, southwest, or northwest when the acquired azimuth deviation exists, and adopting the smallest value among these as the heating season average solar heat gain coefficient of the building; The building performance prediction method according to claim 1 or 2.

4. The acquisition step is a step of acquiring a total opening area of ​​the openings formed in the outer skin as the input condition, In calculating the cooling season average solar heat gain coefficient, the calculation step When the acquired azimuth deviation is absent, the cooling season average solar radiation heat acquisition coefficient at the opening is provisionally calculated for each of the cases where the normal line of the opening having the total opening area faces north, east, south, or west, and the largest value among these is adopted as the cooling season average solar radiation heat acquisition coefficient at the opening; When the acquired azimuth deviation exists, provisionally calculating the cooling season average solar radiation heat acquisition coefficient at the opening for each of the cases where the normal line of the opening having the total opening area faces the northeast, southeast, southwest, or northwest, and adopting the largest value among these as the cooling season average solar radiation heat acquisition coefficient at the opening. The building performance prediction method according to any one of claims 1 to 3.

5. The obtaining step is a step of obtaining a total opening area of ​​the openings formed in the outer skin as the input condition, In calculating the heating season average solar heat gain coefficient, the calculation step When the acquired azimuth deviation is absent, the heating season average solar heat gain coefficient at the opening is provisionally calculated for each of the cases where the normal line of the opening having the total opening area faces north, east, south, or west, and the smallest value among these is adopted as the heating season average solar heat gain coefficient at the opening; When the acquired azimuth deviation exists, the heating season average solar heat gain coefficient at the opening is provisionally calculated for each of the cases where the normal line of the opening having the total opening area faces the northeast, southeast, southwest, or northwest, and the smallest value among these is adopted as the heating season average solar heat gain coefficient at the opening. The building performance prediction method according to any one of claims 1 to 4.

6. The input conditions include information on which roof shape of the roof portion of the building is selected from a group of roof shapes including a hip roof and a flat roof, The calculation step further includes a step of calculating an amount of power generated by a solar panel that can be mounted on the roof portion based on the pitch number as the length of the side of the outer skin and information on the roof shape. The building performance prediction method according to any one of claims 1 to 5.

7. One or more processors, Executing the building performance prediction method according to any one of claims 1 to 6, program.

Images