JP6155067B2 - System and method for calculating index value for heating / cooling load reduction - Google Patents

Description

  The present invention relates to a heating / cooling load reduction index value calculation system and a calculation method thereof that can accurately calculate a building heating / cooling load reduction index value.

As an energy-saving building, a passive design that considers sunlight and wind has been proposed. Passive design is a method of designing a building so that the sun and the wind can be taken in properly according to the time, rather than blocking all the nature.
Passive design is considered to be effective in energy saving because it uses nature such as wind and light, but the effect is not quantified like thermal insulation performance, and the effect is difficult to see. There is a demand for establishment of an index representing passive performance.

On the other hand, a heat loss coefficient (Q value), a heating / cooling load (heat load), a summer solar radiation acquisition coefficient (μ), and the like have been conventionally used as indices indicating energy saving properties of buildings.
Here, the heat loss coefficient (Q value) refers to the amount of heat that escapes from the entire house per 1 m ² of floor area per hour when the temperature difference between indoors and outdoors is 1 ° C., and is used as an index of heat insulation performance of a house. ing. The smaller the heat loss coefficient, the less the heat loss, so it is judged that the living performance is good.
The heating / cooling load is synonymous with a heat load, and refers to the total amount of heat (sensible heat load) and moisture (latent heat load) required when maintaining a predetermined temperature, and includes a heating load and a cooling load.
The summertime solar radiation acquisition coefficient μ represents the amount of solar radiation that intrudes per 1 m ^{2 of} the building, and indicates the ease of solar radiation entering the building. The smaller the μ value, the more the cooling load in summer can be reduced.

As a method for calculating the heating / cooling load, a system for calculating the thermal load of a house from the degree of shielding of a window has been proposed (for example, Patent Document 1).
The thermal load calculation system disclosed in Patent Literature 1 performs calculations using shielding conditions such as window types, window thicknesses, window frame types, solar shading device types, opening / closing degrees, dimensions, and the like input by users. By comparing and displaying the energy saving effect of a plurality of openings, it is possible to easily find the shielding conditions of the openings that are advantageous for energy saving.

However, the thermal load calculation system disclosed in Patent Document 1 compares the energy saving effect of a single opening, and compares the energy saving effect of the entire building when passive design is performed for the entire building. Can not do it.
In particular, the energy-saving effect of passive design may change depending on the overall design of the building, such as the opening ratio of the opening and the ventilation effect. It cannot be said that it has been evaluated.

JP 2012-82991 A

The present invention has been made in view of the above circumstances. The purpose of the present invention is to easily evaluate the energy saving effect of passive design on a building-by-building basis. An object of the present invention is to provide an index value calculation system and method for calculating a high heating / cooling load reduction.
Another object of the present invention is to provide a system and a method for calculating an index value for reducing a heating / cooling load that is easily comprehensible to the energy saving effect of the passive design and that is highly persuasive to the user.

According to the first aspect of the present invention, there is provided a system for calculating an index value for heating / cooling load reduction, which indicates how much heating / cooling load reduction effect is obtained by building design, by a computer. The computer or a server connected to the computer so as to be able to transmit / receive information is for calculating a pseudo Q value that is an approximate value of the Q value (heat loss coefficient) of the building from the area ratio of the area of the building. A pseudo Q value conversion means; and a standard Q value storage means for storing a Q value of the standard plan of the building, wherein the computer receives information on an opening area and a total floor area of the building in all directions, By applying the calculated aperture ratio area ratio to the aperture ratio area ratio calculating means for calculating the aperture ratio area ratio by dividing the total opening area by the total floor area and the pseudo Q value converting means. The pseudo Q value deriving means for deriving the pseudo Q value of the building, and the standard Q value storage means, obtaining the Q value of the standard plan, and deriving the pseudo Q value derived from the Q value of the standard plan By adding the heating load and the cooling load of the building to calculate the heating / cooling load and multiplying the heating / cooling load by the adiabatic correction coefficient. Means for calculating a heating / cooling load, means for acquiring a reference heating / cooling load that is a heating / cooling load of a standard model building in the construction area of the building, the acquired reference heating / cooling load, and the corrected heating / cooling Using the load, the means for calculating the heating / cooling load reduction rate of the building by (1−the corrected heating / cooling load / the reference heating / cooling load) × 100, and the heating / cooling load reduction rate of the building or the Processing heating / cooling load reduction rate This is solved by providing index value output means for outputting the information obtained as the index value for the heating / cooling reduction.

According to the fourth aspect of the present invention, there is provided a method for calculating, by a computer, an index value for reducing the heating / cooling load indicating how much the effect of reducing the heating / cooling load is obtained by the design of the building. The computer or a server connected to the computer so as to be able to transmit / receive information is for calculating a pseudo Q value that is an approximate value of the Q value (heat loss coefficient) of the building from the area ratio of the area of the building. A pseudo Q value conversion means; and a standard Q value storage means for storing a Q value of the standard plan of the building, wherein the computer receives information on an opening area and a total floor area of the building in all directions, By applying the calculated opening ratio area ratio to the opening ratio area ratio calculation procedure for calculating the opening ratio area ratio by dividing the total opening area by the total floor area, and the pseudo Q value conversion means, The pseudo Q value derivation procedure for deriving the pseudo Q value of the building and the standard Q value storage means obtain the Q value of the standard plan, and the derived pseudo Q value is obtained from the Q value of the standard plan. The heating / cooling load is calculated by adding the heating load and the cooling load of the building, and the heating / cooling load is multiplied by the adiabatic correction coefficient. Using a procedure for calculating a cooling load, a procedure for acquiring a reference heating / cooling load that is a heating / cooling load of a standard model building in the construction area of the building, the acquired reference heating / cooling load, and the corrected heating / cooling load The procedure for calculating the heating / cooling load reduction rate of the building by (1−the corrected heating / cooling load / the reference heating / cooling load) × 100, and the heating / cooling load reduction rate of the building or the heating / cooling load reduction Information processed rate, This is solved by executing an index value output procedure for outputting as an index value for heating / cooling reduction.

Since it is configured in this way, it is possible to know how much energy saving effect there is by the passive design of the building compared to the standard. As a result, the index value for heating / cooling reduction can be shown as a value compared with the standard, which can be easily understood by a user such as a client. In addition, it is known that the heating / cooling load is affected by the construction area of the building, the orientation of the opening, ventilation, heat storage measures, etc., so by comparing the heating / cooling load for the entire building, It becomes possible to confirm in a form that matches the actual situation.
The inventors' diligent research has revealed that the Q value of a building has a correlation with the opening area ratio of the building. In the present invention, the Q value (heat loss coefficient) of the building is determined from the opening area ratio of the building. ) Is provided with a pseudo Q value conversion means for calculating a pseudo Q value that is an approximate value of (2), it is possible to easily derive a pseudo Q value that can be handled as a Q value of a building.
Moreover, in the present invention, since a tool for evaluating the passive performance of a building is provided, the heat insulation performance is not basically evaluated. However, the increase or decrease in the opening area affects the heat insulation performance of the building. Therefore, in the present invention, the ratio of the pseudo Q value of the building to the Q value of the standard plan is used as a coefficient of the heat insulation performance of the building to correct the heating / cooling load, so that the index value of the heating / cooling reduction is in accordance with the actual situation. Value.

Further, the computer or a server connected to the computer so as to be able to transmit and receive information includes a reference heating / cooling load storage unit that stores a reference heating / cooling load that is a heating / cooling load of the standard plan of the building for each construction area, It means for acquiring the reference heating and cooling loads, receives the engaging Ru regional specific information to the construction area of the building, searching said reference heating and cooling load storage means the region-specific information as a key, the area specifying information It is preferable to acquire the reference heating / cooling load corresponding to.
Thus, since the reference heating / cooling load is stored in the reference heating / cooling load storage unit in advance, the heating / cooling load reduction rate can be easily calculated by referring to the reference heating / cooling load storage unit.
In addition, since the reference heating / cooling load is stored in the reference heating / cooling load storage unit for each construction area, it is possible to derive a reduction rate according to the actual situation for the heating / cooling load that is affected by the climate of the construction area. .

In addition, the computer or the server includes conversion information storage means for storing conversion information for dividing a numerical value from 0 to 1 into n stages (n is an integer of 1 or more), and the computer stores the conversion information storage Means for obtaining the conversion information from the means, and using the conversion information, the means for converting the heating / cooling load reduction rate of the building into a passive value composed of an integer of 1 or more and n or less, and the index value The output means is preferably configured to output a passive value of the building as an index value for the heating / cooling reduction.
Since it is configured in this way, passive values that serve as index values for heating and cooling reduction can be displayed in n stages (n is an integer of 1 or more), so that the energy saving effect by the passive design of the building can be reduced. Can be displayed in a manner that is easy for the user to understand.

  By building passive design, you can know how much energy saving effect compared to the standard. As a result, the index value for heating / cooling reduction can be shown as a value compared with the standard, which can be easily understood by a user such as a client. In addition, it is known that the heating / cooling load is affected by the construction area of the building, the orientation of the opening, ventilation, heat storage measures, etc. It becomes possible to confirm in a form that matches the actual situation.

It is a perspective view which shows the whole image of the solar radiation effect index value calculation system which concerns on one Embodiment of this invention. It is a block diagram which shows the hardware constitutions of the server which concerns on one Embodiment of this invention. It is a calculation flow of the correction heating / cooling load used for calculation of a passive value. It is a calculation flow of the cooling load used for calculation of correction heating / cooling load. It is a calculation flow of the heating load used for calculation of correction heating / cooling load. It is a graph which shows the correlation of the solar radiation amount and the cooling load which were correct | amended by the air conditioning degree day. It is a graph which shows the correlation of the solar radiation amount which performed correction | amendment by heating degree day, and a heating load. It is a graph which shows the correlation with Q value at the time of changing an opening area ratio in three representative plans. It is a graph which shows the relationship between Q value and annual heating and cooling load. It is a form of P value simulation. It is explanatory drawing which shows the input screen of a passive value calculation program. It is explanatory drawing which shows a general input item (1) input screen. It is explanatory drawing which shows a general input item (2) input screen. It is a flowchart which shows the process of P value calculation program. It is a flowchart which shows the process of P value calculation program.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, the structure demonstrated below does not limit this invention, Of course, it can change variously along the meaning of this invention.
The passive value calculation system S of the present embodiment is a system that calculates the building thermal load from the heating and cooling load of the building and the Q value (heat loss coefficient), and is an index value calculation system for heating and cooling load reduction according to the present invention. Applicable.
The calculated thermal load value is used as a passive value that is an index representing the energy saving effect by passive design.

Here, the passive value (P value) is a value obtained by quantifying the energy saving effect that has not been seen so far with respect to a passive design in consideration of solar radiation, wind, and the like, and includes a value of a heat load. The building's construction performance and surrounding conditions can be reproduced as much as possible, and the building's passive performance can be evaluated.
Passive design is a method of designing a building so that the sun and the wind can be taken in properly according to the time, rather than blocking all the nature. Even in buildings with the same thermal insulation performance, energy saving performance differs depending on whether or not there is a passive design. For example, even in buildings with the same Q value, the energy used for heating and cooling can be reduced by designing the windows.

Examples of passive designs include the promotion of ventilation, the blocking of solar radiation in the summer, and the active incorporation of solar radiation in the winter.
By promoting ventilation, it is possible to lower the sensible temperature by incorporating ventilation and reduce cooling energy. In order to promote ventilation as much as possible, consideration should be given to the flow of vertical winds as well as two-way openings.
By blocking the sun's sunlight in the summer, the heat inside the building during the summer is alleviated by using the eaves, eaves, and heat shield screens to block the sun.
As a method for actively incorporating solar radiation in winter, it is possible to use glass that incorporates solar radiation as much as possible, and to devise the layout design of windows, instead of the glass that blocks the popular solar radiation.
Specifically, there are methods such as providing an opening such as a large window on the south surface, adopting a heat storage floor, providing a top light (skylight) on the ceiling, and providing an interior window and a heat shield screen.

In this specification, “building” includes a detached house, a condominium, an apartment, a flat, a company house owned by a company, a country, a local government, etc., a housing complex, etc.
In this specification, “computer” means to include all information terminals provided with an arithmetic device. For example, in addition to supercomputers, general-purpose computers, office computers, control computers, workstations, personal computers, portable information terminals, PDAs (Personal Digital Assistants), mobile phones with computing devices, wearable computers, electronic papers, etc. .
This passive value calculation system (hereinafter referred to as this system S) S is used by a housing maker design or sales representative to confirm the energy saving effect of the passive design of a house to be supplied, It is used to explain the energy saving effect of passive design of detached houses and to consult about the design of houses.
However, the present invention is not limited to this, and the system S may be used by a building builder such as a building construction company, a design office, or a condominium developer.

As shown in FIG. 1, the system S is constructed among the system management department 10, each sales office 20, and the design department 30 of the headquarters of the housing manufacturer 1.
A server computer 11 (hereinafter referred to as a server 11) according to the present embodiment is installed in the system management department 10 and fulfills a function of controlling the system S. The server 11 is installed with a passive value calculation program for calculating the thermal load of the building. Each sales office 20 is provided with a terminal computer 21 (hereinafter referred to as a terminal 21) used by a sales representative, and is connected to the server 11 via the Internet N by receiving a password authentication from the terminal 21. Thus, the heat load can be calculated using the passive value calculation program.
In this embodiment, the passive value calculation program is installed in the server 11 of the system management department 10, but is stored in the terminal 21 of each sales office 20, and the passive value calculated by the passive value calculation program is obtained only from the terminal 21. It may be possible to calculate.

The hardware configuration of the server 11 is shown in FIG.
The server 11 includes a CPU 61 as a data calculation / control processing device, a RAM 62 as a storage device, a ROM 63, an HDD 64, and a storage medium device 65.
The CPU 61 is configured to execute various processes according to programs stored in the ROM 63 or the HDD 64.
The RAM 62 appropriately stores data necessary for the CPU 61 to execute various processes.

An input device such as a keyboard 67 and a mouse 68 are appropriately operated when a predetermined command is input to the CPU 61.
Furthermore, information, images, etc. displayed in a predetermined format are output and displayed on the display device 69 and the printer 70.

  The storage medium device 65 is composed of an external hard disk, a magneto-optical disk, a CD-R, a DVD, a memory stick, and the like, and can appropriately store and read data transmitted via the Internet N. Has been made.

  The communication device 66 transmits data to the Internet N and receives data supplied via the Internet N.

The HDD 64 stores a housing property database that stores information on each house to be built at the request of the owner.
The housing property database includes a housing property table in which information about each house is registered, and an image folder in which image data of design drawings and on-site photos are stored. The image files in the image folder are housing properties. Linked to the image file name stored in the table.
In the housing property table, records for each house are registered, and items such as owner name, construction location, image file name of blueprints, types of items that promote ventilation, solar shading and heat storage, their installation hierarchy, books Heating / cooling load reduction rate Pr, P value and the like calculated by the system are provided.

The HDD 64 stores each table used for calculating the P value. Specifically, orientation coefficient table, adjacent building influence coefficient table, south surface unit solar radiation amount table by prefecture, window size conversion table, window glass type coefficient table, solar shading coefficient coefficient table, window accessory coefficient table, cooling degree A data table, a degree table for heating, a reduction rate table by ventilation, a reduction rate table by heat storage, and a reference heating / cooling load table are stored.
The azimuth coefficient table is a table that stores azimuth coefficients for converting the amount of solar intrusion on the south surface, which is the reference azimuth, into the amount of solar radiation intrusion on the east, west, south, and north sides of a building whose main direction is a certain direction. Azimuth coefficient for each main direction and each plane such as east, west, south, north, and the like is stored. That is, the azimuth coefficient is obtained by converting the influence of the main azimuth of the building and the direction of the surface on the amount of solar intrusion for each main azimuth and each plane. The azimuth coefficient table includes, as items, main azimuth options, planes such as east, west, south, and north, and azimuth coefficients.
The adjacent building influence coefficient table is a table for obtaining the adjacent building influence coefficient obtained by converting the influence of the distance from the adjacent building of a predetermined height or more on the amount of solar intrusion from the value of the distance from the adjacent building. As an item, there are a choice of adjacent building interval and an adjacent building influence coefficient.

The south surface unit solar radiation amount table by prefecture is a table that obtains the south unit solar radiation amount that quantifies the influence of the location of the building on the solar intrusion amount from the location of the building, specifically the prefecture to which the building belongs. is there. South surface unit solar radiation amount is the solar radiation amount per unit area of the south surface of each prefecture building. In this system S, since the sales office in charge of the house maker 1 is allocated to the building to be constructed, the location of the building may be identified by the name of the sales office in charge of the building.
The prefectural south surface unit solar radiation amount table includes, as items, a name or identification number for identifying a prefecture, and a south surface unit solar radiation amount.
The window size conversion table is a table for obtaining the area of this window from combinations of window sizes such as 1P, 2P, and 3P, and window shapes such as waist high windows and sweep-out windows. (1P, 2P, 3P), a window shape (waist high window, sweep window), and an area of the window.

The window glass type coefficient table is a table for obtaining a score corresponding to the type of window glass from the type of window glass such as highly heat insulating double glazing and heat insulating double glazing. Highly heat insulating double glazing, heat insulating double glazing, etc.) and a score corresponding to the type of window glass.
The solar shading factor coefficient table is a table for obtaining a score corresponding to the solar shading type from the sun shadings such as eaves and balconies. And a score corresponding to the type of solar shading object.
The window accessory coefficient table is a table for obtaining scores corresponding to window accessories from window accessories such as shutters, heat shield screens, and none, and includes items such as window accessories (shutters, heat shields). Screen, none, etc.) and a score corresponding to the window accessory.

The degree table for cooling and the degree table for heating are used to correct the amount of solar intrusion by using the degree day for each prefecture where the building is installed, because the effect of energy reduction varies depending on whether the area is hot or cold. .
The degree day is a known index, and in the present embodiment, the degree day for cooling and the degree day for heating use degree days in the cooling period and the heating period, respectively. The degree days in the cooling period and the heating period are the sum of the degree days in one day indicating the difference between the average indoor temperature and the outside air temperature in one day in the cooling period or the heating period.
The cooling degree table is a cooling degree table, and the heating degree table is a separate table for heating and is provided as a separate table. A value may be stored. Each of the cooling degree day table and the heating degree day table includes, as items, a name or identification number for identifying a prefecture, a degree day, and an average value of all areas of the degree day.

The reduction rate table for ventilation is used to obtain the energy consumption reduction rate corresponding to the choice of consideration items from the choices of considerations for the two-way opening that promotes ventilation of the building, such as all living rooms, part, especially none. The table includes items for consideration of ventilation (all living rooms, part, especially none) and a reduction rate corresponding to the considerations.
The reduction rate table by heat storage is a table for obtaining the energy consumption reduction rate corresponding to the options of the items related to the heat storage structure from the options of the items related to the heat storage structure such as all living rooms, part, especially none, as items It includes matters such as the existence and range of a heat storage structure such as a heat storage floor (all living rooms, part, especially none) and a reduction rate corresponding to the items.

The standard heating / cooling load table assumes a standard model in each construction area of the building, calculates the heating / cooling load of the standard model in a predetermined construction area, and stores it in the table in advance. It is a table which acquires cooling load from information which shows the construction area of a building.
The reference heating / cooling load table includes, as items, a prefecture name and a reference heating / cooling load of a standard model of the prefecture.

Also, the HDD 64 stores a pseudo Q value calculation formula and a Q value Qo in the standard plan.
The pseudo Q value calculation formula and the Q value Qo in the standard plan are used to obtain the adiabatic correction coefficient T for correcting the heating / cooling load M. When the window area of the building is changed greatly, the Q value changes greatly, so that correction is made according to the window area of the building. The pseudo Q value calculation formula is created from the experimental results from the graph of FIG.
Since the hardware configuration of the terminal 21 is the same as that of the server 11, the description thereof is omitted.

Next, the concept of passive value calculation will be described with reference to FIGS.
3 to 5 are schematic flows of a modified heating / cooling load that is a basis for calculating a passive value, and FIG. 3 is a passive flow by adding an adiabatic effect to the heating / cooling load including the cooling load and the heating load. FIG. 4 is a calculation flow of the correction heating / cooling load indicating that the correction heating / cooling load used for calculating the value is calculated, FIG. 4 is a calculation flow of the cooling load, and FIG. 5 is a calculation flow of the heating load.
Although the passive design can be understood as an image, it is not quantified like the heat insulation performance, and its effect is difficult to see, so it is difficult to spread. In addition, natural uses such as wind and light are common, and it is considered that the impact is not sufficient by itself.
Therefore, in this specification, “P value (passive value)” is proposed as an original index representing passive performance. The housing manufacturer 1 can acquire the tool which can evaluate the passive design through the year in a mansion while being able to appeal the attitude to passive performance externally by actively utilizing the P value.

The main items evaluated in the passive value are as follows.
That is, in winter, solar heat utilization (opening area, adjacent building spacing, orientation, solar heat acquisition based on glass type, etc.) and heat storage are evaluated.
In summer, solar shading (screens, blinds, eaves, eaves, balconies, etc.) and ventilation are evaluated. As ventilation, lateral wind flow (two-way opening, inter-room ventilation, etc.) and vertical wind flow (blow-through, top light, etc.) are evaluated.

Passive values are calculated by calculating the solar intrusion amount in summer and winter according to Fig. 4 and Fig. 5, and correcting the solar intrusion amount with each degree day for cooling and heating to calculate the heating / cooling load (heating / cooling energy). The heating / cooling load is calculated by correcting with the pseudo Q value according to FIG.
The heating / cooling load is roughly calculated as follows. The HDD 64 of the server 11 stores in advance the regional south vertical solar radiation amount for each cooling period and heating period, each region's degree day for each cooling period and heating period, and various coefficients. In the passive value calculation program, it is assumed that the effects of solar radiation entering the room in summer and winter respectively are large. Calculate the heating load.

  FIG. 4 shows a calculation flow of the amount of solar intrusion in cooling. In this flow, area-specific cooling degree day and area-specific cooling period south side facing accumulated solar radiation amount is the weather data stored in HDD64, unit solar radiation intrusion amount and cooling load table, degree day correction coefficient table, arrangement coefficient table, glass × item The solar radiation penetration rate table and area correction coefficient table are various coefficients and calculation formulas obtained in advance, which are stored in the HDD 64, total floor area, construction site, spacing between south adjacent buildings, heading swing, area for each window , Glass type, window accessories, eaves / balconies are input items by the user. According to the flow of FIG. 5, the solar radiation intrusion amount in winter is calculated in the same manner.

  A cooling load and a heating load are calculated by correcting the calculated amount of solar intrusion in summer and winter using degree days.

We examined the correlation between the amount of solar radiation intrusion and the cooling load in summer in the standard plans in 12 cities, and in each case where the adjacent building spacing and window ratio were changed in the representative city. There was no correlation.
For this reason, the heating load and the cooling load are calculated by considering the influence of degree day. FIG. 6 shows the correlation between the amount of solar radiation corrected for cooling degree day and the cooling load. There is a good correlation between solar radiation and cooling load. Similarly, FIG. 7 shows the correlation between the amount of solar radiation corrected on the heating degree day and the heating load. This also shows a good correlation.
As described above, the heating / cooling load is determined based on the amount of solar radiation intrusion and the degree day during cooling and heating.

  In addition, the cooling load is corrected by the ventilation effect as shown in FIG. 4, and the heating load is corrected by the heat storage effect as shown in FIG. Calculated.

  In this system S, with regard to the ventilation effect, the presence or absence of a two-way opening is determined based on the input for each room entered, and other items are selected using check boxes, etc., and conformity to each level is confirmed. Then, the cooling load reduction ratio due to ventilation is determined.

Next, along FIG. 3, the heating / cooling load is corrected by the adiabatic correction coefficient obtained from the pseudo Q value.
Since this system S is a system that evaluates the passive performance of a house to the last, the heat insulation performance is a fixed value and is not basically evaluated. However, it is necessary to perform correction when the opening area increases or decreases, and to match the actual situation.
Therefore, correction is performed based on the ratio of the opening area to the total floor area (opening area ratio) obtained from the input of floor area and window data.
FIG. 8 shows the correlation with the Q value when the aperture area ratio is changed in the three representative plans. Based on this result, the pseudo Q value is calculated based on the opening area ratio obtained from the input data.
FIG. 9 shows the relationship between the Q value and the annual heating / cooling load.
Based on this relationship, the heating / cooling load at each of the pseudo Q value obtained above and the Q value in the standard plan is obtained, and the ratio is set as the “adiabatic correction coefficient” to correct and correct the heating / cooling load obtained so far. Obtain heating / cooling load.

Thereafter, the P value is calculated using the value of the corrected heating / cooling load.
The P value is expressed by the ratio between the heating / cooling load in the standard model in the target city and the corrected heating / cooling load calculated by the above procedure.
Since the value of the corrected heating / cooling load varies depending on the region, it is expressed as a ratio with the heating / cooling load in the standard model in the target city in order to use it as a common index.

Specific processing of passive value calculation by the server 11 will be described with reference to FIGS.
In addition, in the heat load calculation system, if data such as the aperture ratio, window position, and orientation of the opening is not used for calculation, it is possible to save energy by installing any size window in any orientation and position. It cannot be used for the evaluation regarding the installation conditions of the window. In particular, if the orientation of the window is not taken into account, in an actual building, it is impossible to make a proper evaluation of the energy saving effect by the shielding. In addition, in the evaluation of the energy saving effect of an actual building, it is necessary to consider the adjacent building conditions, and these conditions are evaluated in the passive value calculation processing of the present embodiment.
Further, not only the presence / absence of the shielding condition but also the size of the window itself is used in the calculation to obtain a highly accurate calculated value of the heat load.
The sales person in charge of the sales office 20 has a meeting with the client, who is the client of the home building, about the construction schedule, the design plan, the equipment to be introduced, etc. To ask.
When the housing plan is completed, a P value is calculated using a passive value calculation program, and a P value simulation form shown in FIG. 10 is created. This form of P-value simulation is presented to the client and used to appeal the energy saving performance of the design plan during the client's building preparation.
The process of creating a P-value simulation form for the owner will be described. This system S is designed to help the designer consider the most energy-saving design plan, and to create an energy-saving design plan. It can also be used to confirm whether there is room for examination from the viewpoint.

When the sales representative accesses the passive value calculation program of the server 11 from the terminal 21 via the Internet N, the server 11 displays the input screen 300 shown in FIG. 11 on the terminal 21 on condition that the user ID and password are input. .
The input screen 300 includes a business office name selection field 301 for selecting the business office name of the business office 20 from the tag, a customer name input field 302 for inputting the owner name, a construction site input field 303 for inputting the construction site, and the main direction of the building The main direction selection field 304 for selecting from the option tags such as south, west, east, north, etc., the south surface for selecting the interval between adjacent buildings at a predetermined height or more on the south, west, east, and north surfaces from a plurality of option tags Adjacent building interval selection column 305, West side adjacent building interval selection column 306, East side adjacent building interval selection column 307, Building 1 floor floor area input column 308, Building 2 floor floor area input column 309, General input item (1) input Next button 310 for displaying screen 320, P value display button 311 for displaying a P value display screen (not shown) for displaying a P value calculated based only on the input value, and a P value simulation result. Display the result display screen And a result output button 312 for causing.

When the next button 310 is clicked on the input screen 300, the general input item (1) input screen 320 of FIG. 12 is displayed.
The general input item (1) input screen 320 includes a south window data input field 330, a west window data input field 340, and a window shape sample display field 350.
The south surface window data input column 330 is a column for inputting information on all windows on the south surface of the building. The window glass type selection column 331 selected from the highly heat insulating double glazing, the heat insulating double glazing, etc. For windows, a window size selection column 332 for selecting from sizes such as 1P, 2P, 3P, etc., a window shape selection column 333 for selecting from shapes such as waist high windows and sweep-out windows, etc. Item selection column 334, eaves presence / absence selection column 335, balcony presence / absence selection column 336, general input item (2) Next button 310 for displaying input screen 360, P value display button 311, and result output button 312 are provided. ing.
Each option in the window shape selection column 333 is displayed in the window shape sample display column 350, and can be easily input by referring to the window shape sample display column 350.
The configuration of the west window data input column 340 is the same as the configuration of the south window data input column 330, and thus the description thereof is omitted.

When the next button 310 is clicked on the general input item (1) input screen 320, the general input item (2) input screen 360 of FIG. 13 is displayed.
The general input item (2) input screen 360 includes an east window data input field 370, a north window data input field 380, a two-direction opening type selection field 381, a heat storage material selection field 382, and a window shape sample display field 350. .
The configuration of the east window data input column 370 and the north window data input column 380 is the same as the configuration of the south window data input column 330, and thus the description thereof is omitted.
For each option in the window shape selection column of the east window data input column 370 and the north window data input column 380, an appearance sample is displayed in the window shape sample display column 350, and the window shape sample display column 350 is referred to. This makes it easier to input.

The two-way opening type selection column 381 is a column for selecting items relating to consideration of the two-way opening that promotes ventilation of the building, and includes options such as all living rooms, part, especially none.
The heat storage material selection field 382 includes options such as all living rooms, others, and none.

When the result output button 312 is clicked in any of FIGS. 11 to 13, the processing of the flowcharts of FIGS. 14 to 15 is executed. This process is executed by the CPU 61 of the server 11.
First, in steps S1 to S4, the south surface unit solar radiation amount Ys is calculated. In step S1, a selection value selected from the choices of south, west, east, and north in the main orientation selection field 304 of the input screen 300 of FIG. 11 is acquired and stored in the HDD 64 using this selection value as a key. By referring to the orientation coefficient table, the orientation coefficient of the south surface corresponding to the selected value of the main orientation is acquired and set as the orientation coefficient As.
Next, in step S2, the selection value selected from the options in the south side adjacent building interval selection field 305 of the input screen 300 in FIG. 11 is acquired, and the adjacent building influence stored in the HDD 64 is obtained using this selection value as a key. By referring to the coefficient table, the adjacent building influence coefficient corresponding to the selected value is acquired and set as the south side adjacent building influence coefficient Bs.

Next, in step S3, the selected value of the sales office name selected in the sales office name selection field 301 of the input screen 300 in FIG. 11 is acquired, and the southern solar radiation by prefecture stored in the HDD 64 is stored using this selected value as a key. By referring to the amount table, the south surface unit solar radiation amount corresponding to the selected value is acquired and set as the regional south surface unit solar radiation amount Cs.
In step S4, calculation of As × Bs × Cs is performed using the coefficients As, Bs, and Cs acquired in steps S1 to S3, and the south surface unit solar radiation amount Ys that is the calculated value is acquired and registered in the memory. .

Next, in steps S5 to S11, the solar radiation intrusion area Gs on the south surface is calculated.
First, in step S5, the data of the first window 1 in the south window data input field 330 in FIG. 12 is read, and the window size selected in the window size selection field 332 and the window shape selected in the window shape selection field 333 are displayed. The window area Fs1 corresponding to the combination of the window size and the window shape is obtained by referring to the window size conversion table using the combination of the window size and the window shape as a key, and obtained in the memory. Store temporarily.
Next, in step S6, the selection value of the window glass type selection field 331 of the south surface window data input field 330 of FIG. 12 is acquired, and the window glass type coefficient table is referenced using this selection value as a key, and the window glass type of the south surface is obtained. Is obtained and temporarily stored in the memory.
Next, in step S7, the window attachment is selected using the selected value selected from the three types of options of shutter, heat shield screen, and none in the window accessory selection field 334 of the window 1 in the south window data input field 330 of FIG. By referring to the physical coefficient table, the coefficient β1 is acquired and temporarily stored in the memory.

Next, at step S8, the eaves presence / absence selection column 335, the balcony presence / absence selection column 336, the west surface window data input column 340, and the east surface window data input column 350 of FIG. The selection value of the presence / absence check of the column and the presence / absence selection column of the balcony is acquired, and the solar shading factor coefficient table is referred to using this selection value as a key, and the coefficient γ1 by the solar shading object is acquired and temporarily stored in the memory. To do.
Next, in step S9, it is determined whether there is window data that has not yet been read in the south face window data input field 330 of FIG.

If there is no window data that has not yet been read (step S9: No), it is determined that data has been acquired for all windows in the south window data input field 330, and in step S12, the solar radiation intrusion area Gs is calculated.
If there is window data that has not yet been read (step S9: Yes), in step S10, the next window data is read, and the window area Fsi, the coefficient Esi corresponding to the window glass type, and the window accessory coefficient βi, respectively. , The coefficient γi by the solar shading object is acquired and temporarily stored in the memory. Here, i is a positive integer and is an ordinal number indicating the window number in FIG.
Next, in step S11, it is determined whether there is window data that has not yet been read in the south face window data input field 330 of FIG.
If there is window data that has not yet been read (step S11: Yes), the process returns to step S10, and the next window data is read. The window area Fsi, the coefficient Esi corresponding to the window glass type, and the window accessory coefficient, respectively. βi and the coefficient γi by the solar radiation shielding object are acquired and temporarily stored in the memory. Here, i is a positive integer and is an ordinal number indicating the window number in FIG.

  If there is no window data that has not been read yet (step S11: No), it is determined that data has been acquired for all windows in the south window data input field 330, and in step S12, the solar intrusion area Gs on the south surface is calculated by the following equation. calculate.

Then, the process proceeds from step A in FIG. 14 to step 13 through step A in FIG. 15, and the west surface unit solar radiation amount Yw, the east surface unit solar radiation amount Ye, and the north surface unit solar radiation amount Yn are calculated by the same processing as steps S1 to S4. And the solar radiation intrusion area Gw on the west surface, the solar radiation intrusion area Gw on the east surface, and the solar radiation intrusion area Gn on the north surface are calculated by the same processing as steps S5 to S12.
Next, in step S14, the total floor area D of the building is calculated by adding the numerical values input to the building first floor area input field 308 and the building second floor area input field 309 of the input screen 300 of FIG.
Next, in step S15, the omnidirectional solar radiation amount S per unit area is calculated by the following equation.
S = (Ys × Gs + Yw × Gw + Ye × Ge + Yn × Gn) / D

In this embodiment, the omnidirectional solar radiation amount S adds the four solar radiation amounts in the east, west, south, and north directions as the multidirectional solar radiation amount, but two or three of the four surfaces, for example, east and west You may make it add the amount of solar radiation, such as three south.
Then, in a step S1 6, calculates the δ region correction factor. In this step, first, the name of the prefecture is obtained from the input value in the construction place input field 303 of FIG. 11, the degree name for the prefecture and the national average are referred to as the keys, and the degree table for cooling is referred to. Acquire the value of air conditioning degree day and the value of national average air conditioning degree day. Next, the regional correction coefficient δ is calculated by dividing the value of the degree of cooling day by prefecture by the value of the nationwide average degree of cooling day.

In Step S1 7, J = by omnidirectional solar radiation S × area correction coefficient [delta], to calculate the solar radiation effect score J.
In Step S1 8, in consideration of ventilation effect I solar radiation effect score J, calculates the cooling load K.
In step S1 8, first, the entire room in two directions opening type selection column 381 of FIG. 13, a portion, to obtain a choice of selection values without such particular, the reduction rate with reference to the draft reduction rate table, the corresponding Acquired as ventilation effect I.
Next, in step S18, the cooling load K is calculated from the solar radiation effect score J × (1−ventilation effect I).

Next, in step S19, the heating load L is calculated. The heating load L is the same as that in steps S1 to S18 except that the heating degree L table is used instead of the cooling degree day table and the heat storage effect H is added instead of the ventilation effect I in step S. Calculate by processing.
The heat storage effect H is a reduction corresponding to a selection value such as all living rooms, otherwise, or none by acquiring the selection value of the heat storage material selection field 382 in FIG. 13 and referring to the heat storage reduction rate table using this selection value as a key. Get by getting rate.
The heating load L is calculated by the solar radiation effect score J × (1−heat storage effect H).

Next, in step S20, the heating / cooling load M is calculated by adding the cooling load K calculated in step S14 and the heating load L calculated in step S15.
Next, in step S21, the heating / cooling load M obtained in step S14 is corrected by the adiabatic correction coefficient T to obtain a corrected heating / cooling load U.
In this step, first, a pseudo Q value Q is calculated.
The combination of the window size selected in the window size selection column 332 of the south window data input column 330 in FIG. 12 and the window shape data selected in the window shape selection column 333 is read one by one. Using the data combination as a key, the window size conversion table is referred to, and the window area corresponding to the combination of the window size and the window shape is acquired. The area of this window is acquired for all windows input in the south surface window data input field 330 and summed up to obtain the south surface opening area.
The same processing is performed for all windows input in the west window data input field 340, east window data input field 370, and north window data input field 380 in FIGS. 12 and 20, respectively. Get the opening area.
Next, the opening area ratio is calculated from (south surface opening area + west opening area + east opening area + north opening area) / total floor area D.
A pseudo Q value calculation formula stored in the HDD 64 is acquired, and the opening area ratio is substituted into the calculation formula to obtain a pseudo Q value Q.
Next, the Q value Qo in the standard plan stored in the HDD 64 is acquired. Next, the pseudo Q value Q is divided by the Q value Qo in the standard plan to calculate the adiabatic correction coefficient T = Q / Qo.
Thereafter, the heating / cooling load M obtained in step S16 is corrected by the heat insulation / cooling correction coefficient T by the heating / cooling load M × adiabatic correction coefficient T to obtain a corrected heating / cooling load U.

Next, in step S22, a reference heating / cooling load Mo, which is a heating / cooling load in the standard model in the city corresponding to the house, is acquired.
In this step, first, the prefecture name is acquired from the input value in the construction place input field 303 of FIG. 11, and the reference heating / cooling load table stored in the HDD 64 is referenced using this prefecture name as a key. The reference heating / cooling load Mo calculated from the standard model is acquired.
In the present embodiment, the reference heating / cooling load Mo calculated in advance from the standard model is stored in the reference heating / cooling load table for each prefecture, but the present invention is not limited to this and is applicable. You may use what calculated the heating / cooling load using the calculation result of the Q value of a building.
Next, in step S23, using the corrected heating / cooling load U obtained in step S17 and the reference heating / cooling load Mo obtained in step S18, Pr = (1−U / Mo) × 100, and the heating / cooling load reduction rate Obtain Pr. The heating / cooling load reduction rate Pr is a ratio of the modified heating / cooling load U of the building to the standard heating / cooling load Mo of the standard model.

In step S24, P values represented in four stages of 1, 2, 3, and 4 are derived from the heating / cooling load reduction rate Pr.
In this step, first, it is determined whether or not Pr <5. If Pr <5, the P value is set to 1. If Pr <5, it is determined whether Pr <10.
If Pr <10, it is assumed that 5 ≦ Pr <10, the P value is set to 2, and if Pr <10, it is determined whether Pr <20.
If Pr <20, the P value is 1, and 10 ≦ Pr <20, the P value is 3, and if Pr <20, the P value is 4.

Next, in step S25, using the information obtained up to step S20, the P value simulation form shown in FIG. 10 is created and displayed on the terminal 21.
In this step S25, the image data of the corresponding building plan is acquired from the housing property database of the HDD 64 of the server 11, and this image data and the customer name, construction location, and step S3 input on the screens of FIGS. 10 is created using the passive area number obtained in step S and the P value derived in steps S19 and S20, and displayed on the terminal 21.

Next, in step S26, the calculated values obtained up to step S24 are registered and stored in the record of the owner name of the corresponding building in the housing property database of the HDD 64 of the server 11.
This completes the process of creating a P-value simulation form for the owner.

  The acquisition of solar radiation received by a building is greatly influenced by the presence and installation range of solar shadings such as eaves and balconies that shield windows, and the permeability of the materials that make up the window, but in this embodiment, the location of the building In addition to the aperture ratio, the main direction of the building and the distance from the adjacent building, the solar radiation effect index value is calculated taking into account the installation status of the solar shading and the window material. A system with high utility value can be constructed.

  The acquisition of solar radiation received by a building is greatly influenced by the presence and installation range of window accessories such as shutters and screens that can shield and expose windows by opening and closing, but this embodiment is based on the location and opening ratio of the building, the main building The solar radiation effect index value is calculated in consideration of the direction, the distance from the adjacent building, the installation status of the solar radiation shield, the window material, the presence or absence of window accessories, and the installation range. A system with high utility value can be constructed.

N Internet S Passive value calculation system 1 Housing manufacturer 10 System management department 11 Server (server computer)
20 Sales office 21 Terminal (terminal computer)
30 Design Department 61 CPU
62 RAM
63 ROM
64 HDD
65 Storage medium device 66 Communication device 67 Keyboard 68 Mouse 69 Display device 70 Printer

Claims (4)

A system for calculating an index value of heating / cooling load reduction, which indicates how much heating / cooling load reduction effect is obtained by building design,
The computer or a server connected to the computer so as to be able to send and receive information,
A pseudo Q value conversion means for calculating a pseudo Q value that is an approximate value of the Q value (heat loss coefficient) of the building from the area ratio of the area of the building;
Standard Q value storage means for storing the Q value of the standard plan of the building,
The computer
An opening ratio area ratio calculating means for receiving information on the opening area and the total floor area of the omnidirectional of the building, and dividing the total of the opening areas by the total floor area to calculate the opening ratio area ratio;
By applying the calculated aperture ratio area ratio to the pseudo Q value conversion means, pseudo Q value deriving means for deriving the pseudo Q value of the building;
Means for obtaining a Q value of the standard plan from the standard Q value storage means, and calculating the adiabatic correction coefficient by dividing the derived pseudo Q value by the Q value of the standard plan;
A heating / cooling load is calculated by adding a heating load and a cooling load of the building, and a heating / cooling load is calculated by multiplying the heating / cooling load by the adiabatic correction coefficient.
Means for obtaining a reference heating / cooling load that is a heating / cooling load of a standard model building in the construction area of the building;
Using the acquired reference heating / cooling load and the corrected heating / cooling load,
(1− corrected heating / cooling load / reference heating / cooling load) × 100
Means for calculating a heating / cooling load reduction rate of the building,
Heating / cooling load reduction rate of the building, or index value output means for outputting the information obtained by processing the heating / cooling load reduction rate as an index value of the heating / cooling reduction, Index value calculation system. The computer or a server connected to the computer so as to be able to send and receive information,
Reference heating / cooling load storage means for storing, for each construction area, a reference heating / cooling load that is a heating / cooling load of the standard plan of the building,
The means for acquiring the reference heating / cooling load is:
Receiving the engaging Ru regional specific information to the construction area of the building, searching said reference heating and cooling load storage means the region-specific information as a key, and acquires the reference heating and cooling load corresponding to the region-specific information The index value calculation system for heating and cooling load reduction according to claim 1. The computer or the server includes conversion information storage means for storing conversion information for distributing numerical values from 0 to 1 into n stages (n is an integer of 1 or more),
The computer obtains the conversion information from the conversion information storage means, and uses the conversion information to convert the heating / cooling load reduction rate of the building into a passive value composed of an integer of 1 to n. And comprising
3. The heating / cooling load reduction index value calculation system according to claim 2, wherein the index value output means outputs a passive value of the building as an index value for the heating / cooling reduction. A method for calculating an index value of heating / cooling load reduction, which indicates how much heating / cooling load reduction effect is obtained by building design,
The computer or a server connected to the computer so as to be able to send and receive information,
A pseudo Q value conversion means for calculating a pseudo Q value that is an approximate value of the Q value (heat loss coefficient) of the building from the area ratio of the area of the building;
Standard Q value storage means for storing the Q value of the standard plan of the building,
The computer
Receiving the information of the opening area and the total floor area of the omnidirectional of the building, dividing the total of the opening area by the total floor area to calculate the opening ratio area ratio,
A pseudo Q value derivation procedure for deriving the pseudo Q value of the building by applying the calculated aperture ratio area ratio to the pseudo Q value conversion means;
Obtaining a Q value of the standard plan from the standard Q value storage means, and calculating the adiabatic correction coefficient by dividing the derived pseudo Q value by the Q value of the standard plan;
A procedure for calculating a heating / cooling load by adding a heating load and a cooling load of the building, and calculating a corrected heating / cooling load by multiplying the heating / cooling load by the adiabatic correction coefficient;
Obtaining a standard heating / cooling load that is a heating / cooling load of a standard model building in the construction area of the building;
Using the acquired reference heating / cooling load and the corrected heating / cooling load,
(1− corrected heating / cooling load / reference heating / cooling load) × 100
To calculate the heating / cooling load reduction rate of the building,
A heating / cooling load reduction characterized by executing an index value output procedure for outputting the heating / cooling load reduction rate of the building or information obtained by processing the heating / cooling load reduction rate as an index value of the heating / cooling reduction Of calculating the index value of.

Images