JP2009250724A - Evaluation system of solar energy generation and method for estimating solar energy generation - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an evaluation system of solar energy generation capable of efficiently and adequately estimating an activity for solar energy generation in a city, and a method for estimating solar energy generation. <P>SOLUTION: This evaluation system of solar energy generation comprises a local area designation means 3 for designating an estimation target area 2 from map data 1 of GIS, a sunlight reception area computation section 5 that provisionally computes a sunlight reception area of each of a plurality of estimation target buildings 4 which are arbitrarily set in the estimation target area 2 on the basis of a positional relationship between a three-dimensional cubic model of the GIS and a solar position, and a shade interference area computation section 6 that provisionally computes a shaded area which is formed on the sunlight reception area 4a of each of the estimation target buildings 4 by any other estimation target building 4' on the basis of sunlight simulation applied to the three-dimensional cubic model. The evaluation system further comprises a power generation estimation means 7 that provisionally computes a total solar energy generation amount of the entirety of the estimation target area 2 in such a manner that an individual solar energy generation amount of each of the estimation target buildings 4 is obtained by multiplying a power generation coefficient set to the estimation target area 2 to a difference between the sunlight reception area and the shaded area, and the individual solar energy generation amounts of the plurality of the estimation target buildings 4 in the estimation target area 2 are totalized. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to an evaluation system and an evaluation method for photovoltaic power generation.

In order to examine and evaluate the effectiveness of the introduction of solar power generation, it is generally important to estimate the amount of power generation expected by the introduction. Those described in (1) are known. In this conventional example, the power generation amount is estimated using a hemispherical image taken by a camera equipped with a fisheye lens from the evaluation point where the installation of solar cells is considered, and the solar radiation amount at the evaluation point is calculated from the sky rate in the hemispheric image. The amount of generated power is calculated based on the amount of solar radiation.
JP 2002-62188 A

  However, in the above-mentioned conventional example, since the calculation of the amount of solar radiation for calculating the amount of power generation is only performed at a narrow evaluation point, for example, an approach to solar power generation targeting the entire city etc. When it is desired to examine the effectiveness, it is necessary to take hemispherical images and calculate the amount of solar radiation at many points, which takes a lot of time and effort.

  In other words, since many medium- and high-rise buildings are irregularly arranged in cities, the amount of solar radiation varies greatly depending on the location due to the shade formed by them, and it is wide based only on the amount of solar radiation in a narrow area. Even if the amount of power generation in this region is estimated, the reliability will be extremely low.

  In addition, as a suitable place for installing solar cells in a city where the amount of solar radiation is good, the side wall surface of the upper part of the middle-high-rise building can be considered, but in this case, it becomes a high place, so the above-mentioned conventional If it is necessary to take a picture from the place of installation as in the example, the examination becomes extremely difficult.

  The present invention has been made to eliminate the above drawbacks, and provides an evaluation system and an evaluation method for photovoltaic power generation that can efficiently and accurately evaluate the effectiveness of the efforts for photovoltaic power generation in cities. For the purpose of provision.

  Another object of the present invention is to make it possible to study the optimal arrangement of solar power generation facilities for middle- and high-rise buildings in a city.

According to the present invention, the object is
An area designating means 3 for designating an evaluation target area 2 from map data 1 of GIS;
Solar radiation area calculation means 5 for calculating the solar radiation area in each of the plurality of evaluation object buildings 4 appropriately set in the evaluation area 2 from the positional relationship between the GIS three-dimensional solid model and the sun position;
A shadow interference area calculating means 6 for calculating a shaded area formed by the other evaluation object building 4 'on each solar radiation surface 4a of the evaluation object building 4 from the solar radiation simulation to the three-dimensional solid model;
Multiply the difference between the solar radiation area and the shade area by the power generation coefficient set in the evaluation target area 2 to obtain the individual photovoltaic power generation amount by each evaluation target building 4;
A photovoltaic power generation evaluation system having power generation evaluation means 7 for calculating the total photovoltaic power generation amount of the entire evaluation target area 2 by summing up the individual solar power generation amounts of the plurality of evaluation target buildings 4 in the evaluation target area 2 Is achieved by providing

  According to the present invention, the amount of photovoltaic power generation is estimated by grasping the shade formed by the building 4 to be evaluated by a solar radiation simulation to a three-dimensional model of GIS and generating power in an effective solar radiation area excluding the shade. This is done by multiplying the coefficient. The power generation coefficient can be determined in consideration of the solar radiation amount per unit area, which varies depending on the region, in addition to the design coefficient of the solar cell module.

  Therefore, by setting mid-to-high-rise buildings in the city as the evaluation target building 4, it is possible to accurately predict a complex shade range such as when the shade caused by these extends to a part of other mid-to-high-rise buildings. The distribution of complex solar radiation in the area can be grasped very efficiently, and the effectiveness of urban solar power generation can be examined efficiently and accurately. Such examination of effectiveness is also useful as a judgment material for expanding public subsidies for the introduction of photovoltaic power generation.

  Moreover, the amount of photovoltaic power generation that effectively utilizes the upper side wall surface of the evaluation target building 4 by calculating the solar radiation area based on the solar radiation area of the evaluation target building 4, that is, the area of the part facing the sunlight. Can be estimated. Furthermore, by calculating the solar radiation area for the building 4 to be evaluated in this way, the effectiveness of introducing solar power generation can be satisfactorily examined in a city where buildings are prone.

  The map data 1 for designating the evaluation target area 2 such as a city where a building is prone to appearing or its block is obtained from GIS (Geographic Information System), and the 3D solid model of this GIS is used for the solar radiation simulation. By using it, it is possible to easily acquire information regarding precise positions and shapes of the plurality of evaluation target buildings 4 as the installation base of the photovoltaic power generation module. Further, the above-described solar radiation area that can be derived from the positional relationship with the sun position can be calculated very easily.

  Furthermore, in this invention which utilizes GIS about evaluation of photovoltaic power generation in this way, it can progress favorably by utilizing GIS also about determination of the evaluation object building 4. FIG. It is desirable that the building to be evaluated 4 should be designated as having a ground height higher than a certain level so that the amount of solar radiation suitable for solar power generation can be expected. For example, floor data as attribute data 8 of GIS By confirming, it can be easily identified from among a large number of buildings in the city. Such designation can also be made by automatic extraction based on floor data.

  In addition, recent efforts to address environmental issues are partly driven by the promotion of self-help efforts by clarifying environmental burdens, and the energy consumption of the building 4 itself to be evaluated for the introduction of solar power generation is reduced. By making a trial calculation, such self-help efforts can be promoted. In this case, the energy self-sufficiency rate that can be evaluated relative to the environmental load and the self-help effort, that is, the relative proportion of the energy consumption of the solar power generation in the building 4 to be evaluated can be calculated. It is valid. The energy consumption of the building 4 to be evaluated can be estimated using the attribute data 8 of the GIS. For example, in recent years, the usage data 10 that is the attribute data 8 and the fixed asset data 11 can be appropriately estimated. Has been proposed by researchers on environmental issues.

  Furthermore, the new introduction of solar power generation in cities does not evaluate the entire city in a lump, but by using the blocks divided by roads as a unit, solar effects in the city can be reduced with less shade. The eligibility of the arrangement of power generation facilities can be improved.

  As is clear from the above description, according to the present invention, the effectiveness of solar power generation in a city can be examined efficiently and accurately, and the environmental load can be effectively reduced.

  In addition, efficient environmental measures can be promoted by making it possible to study the optimal arrangement of solar power generation facilities for middle- and high-rise buildings in a city.

  FIG. 1 shows the overall flow of a solar power generation evaluation method for examining the introduction of solar power generation into a city block, and FIG. 2 shows the configuration of a computer system for evaluation. The computer system is constructed by using MAPCUBE (registered trademark No. 4833007), which is a GIS that records three-dimensional city space data already marketed by the applicant. This GIS data 20 is constructed by superimposing numerical surface layer model data 21 formed by aviation laser survey data capable of specifying the precise height and shape of features on the digital mapping data 1 of the two-dimensional map. As the attribute data 8, building status data 22 such as a building located on the map and fixed asset data 11 are provided.

  FIG. 7A shows a data group as an attribute of a certain building A. The usage data 10 relating to the usage in which the energy consumption basic unit of the building A can be estimated, and the shape relating to the shape capable of calculating the building area of the building A Data 12, floor data 23 regarding the floor of building A, position data 24 regarding the location of building A, and fixed asset data 11 including the total floor area of building A are configured.

  In addition, as shown in FIG. 2, the system includes an input unit 25 that receives input from an input device such as a mouse (not shown), and an area that designates a block as an evaluation target area 2 according to the input from the input unit 25. A designation means 3, a building designation means 9 for designating a building 4 to be evaluated as a candidate for installation of a photovoltaic power generation module in the block 2, and a solar radiation condition calculation unit 26 for calculating the solar radiation situation of the block 2. It has a power generation evaluation means 7 for evaluating solar power generation based on the solar radiation situation of the building 4 to be evaluated, and an output unit 27 for outputting data relating to the evaluation result to a display or printer outside the figure.

  The input unit 25 receives an access from the mouse or the like to the above-described GIS, and outputs an input from the mouse or the like to the GIS. In response to this, the data processing by GIS is output via the output unit 27, and for example, a two-dimensional map can be displayed on a display or the like by operating the mouse.

  As shown in FIG. 1, the evaluation regarding the introduction of the photovoltaic power generation is started by designating the block 2 where the photovoltaic power generation module is installed from the map range covered by the map data 1 of the GIS with a mouse or the like (S- 1). This designation may be performed, for example, by selecting a specific block 2 from the two-dimensional map displayed on the display with a pointer or inputting a specific place name via a keyboard not shown.

  The area designating means 3 designates a block 2 in the map data 1 according to such an input. In this embodiment, the block 2 included in the government-designated city is a unit that can be designated. FIG. 3A shows the designation of the block 2 by the area designating means 3, and the inner side of the chain line shown on the road 28 surrounding the block 2 is the evaluation target region 2.

  The area designating means 3 also designates a peripheral area 29 of the city block 2 that may be shaded when a high-rise building or the like is constructed in addition to the city block 2 described above. The chain line outside the block 2 in FIG. 3A indicates the outer edge of the surrounding area 29. The surrounding area 29 is in accordance with a standard such as a 300 m square around the block 2 set in advance in the area specifying means 3. 2 is formed outside. With the above designation, the area designating means 3 reads the numerical surface layer model data 21 for the designated block 2 and its surrounding area 29 from the GIS data 20.

  When the designation of the city block 2 and the surrounding area 29 by the area designating unit 3 is completed, the building designating unit 9 automatically extracts the evaluation target building 4 to be installed with the solar power generation module in the city block 2. The extraction by the building designating means 9 is generally intended for buildings 4 of the middle or higher layers where the amount of solar radiation can be expected, and based on the height information of the floor data 23 or the numerical surface model data 21 described above, the block 2 All the middle and high-rise buildings 4 are automatically extracted.

  Similarly, the building designating unit 9 also extracts the buildings 4 of the middle or higher layer in the surrounding area 29 based on the floor data 23 and the like. This extraction is intended for buildings that may be shaded in the block 2.

  When the numerical surface layer model data 21 in the block 2 and the surrounding area 29 and the mid-to-high-rise building 4 located on the numerical surface layer model data 21 are extracted as described above, the solar radiation state calculation unit 26, the solar radiation situation for the middle and high-rise buildings 4 in the block 2 is calculated (S-2). As shown in FIG. 2, the solar radiation status calculation unit 26 is constructed using a standard weather / solar radiation database 30 called METPV-3 already provided by the Japan Weather Association. This database covers the average amount of solar radiation over the past several years in each region for 836 locations throughout Japan, and can be assumed to be the amount of solar radiation per unit area at a certain date and location. Provide virtually. In addition, the annual average amount of solar radiation at each location can be determined by setting.

  Moreover, the solar radiation condition calculation part 26 searches the solar radiation data 31 in the said standard weather and solar radiation database 30 on the condition of the block 2 and acquires the solar radiation amount per unit area of the block 2 per unit solar radiation amount search The solar position data 33, the mesh setting means 34, the solar radiation antipodal area calculation means 5, the shadow interference area calculation means 6, the solar radiation, Quantity calculation means 35. The sun position data 33 is constructed by creating a database of sun position information for each predetermined date and time.

  The mesh setting means 34 sets a mesh on the surface of the mid-to-high-rise building 4 in the block 2 and the mesh size is appropriately set in consideration of the accuracy of trial calculation of the solar radiation area. The calculation of the solar radiation area of the middle-high-rise building 4 in the block 2 proceeds according to the procedure shown in FIG. 5, and first, as shown in FIG. 4A, the 3D model of the middle-high-rise building 4 formed according to the numerical surface model data 21 is obtained. A mesh is formed on the three-dimensional outer surface (S-21).

  As shown in FIG. 4A, the solar radiation area calculation means 5 is a solar radiation area as an area facing the solar radiation direction of the medium-to-high-rise building 4 in the block 2, in other words, other buildings. Calculates the solar radiation area of the mid-to-high-rise building 4 when it is assumed that it is not at all. From the positional relationship between the mid-to-high-rise building 4 whose position and orientation can be specified by the GIS data 20 and the solar position of the solar position data 33 described above. The solar radiation area is determined and calculated (S-22). The solar radiation area can also be determined from information on the orientation of each surface of the outer surface of the medium- and high-rise building 4 that can be specified by the numerical surface model data 21.

  The shadow interference area calculation means 6 performs a solar radiation simulation, and the shadow interference of other middle / high-rise buildings 4 ′ that may be formed on the surface facing the solar radiation direction of each middle-high-rise building 4 in the block 2 at the time of simulation. Interference is confirmed (S-23). Other medium- and high-rise buildings 4 ′ include those belonging to the surrounding area 29 described above, and the solar radiation simulation is performed by incorporating commercially available shadow map or shadow time diagram creation software into the system. As shown in FIG. 4 (b), the shadow interference is determined by the presence or absence of shade at the time of the solar radiation simulation for each lattice point of the mesh set on the solar radiation surface 4a described above (S-24). This can be repeated many times until the determination of all grid points is completed (S-25), and the shade area is determined based on the number of grid points determined to be shade (S-26).

  The solar radiation amount calculating means 35 obtains the difference between the solar radiation area and the shadow interference area at each date and time for one year, and against this difference, the solar radiation amount per unit area at each date and time acquired from the solar radiation data 21. It is possible to calculate the average solar radiation amount per day, for example, by summing and multiplying the products multiplied by, but in this embodiment, as shown in FIG. 5, the processing efficiency is improved. Therefore, the average solar radiation amount is calculated by averaging the solar radiation conditions at noon of the summer solstice and the winter solstice. Specifically, while calculating the difference between the solar convection area and the shadow interference area at noon between the summer solstice and the winter solstice (S-27), the above-mentioned land unit solar radiation amount search means 32 is also the summer solstice and winter solstice. The solar radiation amount per unit area at noon is searched, and the average solar radiation amount is calculated by averaging the solar radiation area of the summer solstice and the winter solstice multiplied by the solar radiation amount per unit area (S-30).

  The calculation of the average amount of solar radiation is performed for each medium-to-high-rise building 4 in the block 2 and is repeated until all the medium-to-high-rise buildings 4 in the block 2 are completed (S-28). The process is repeated until the summer solstice and the winter solstice are completed (S-29).

  In this embodiment, in order to estimate the amount of solar radiation for the year based on the summer solstice and the winter solstice in this way, in the present embodiment, the calculation of the solar radiation antipodal area by the solar antipodal area calculation means 5 described above, Interference is also performed using those at these times.

  When the average solar radiation amount for each middle-high-rise building 2 is calculated as described above, the calculation and evaluation processing of the photovoltaic power generation amount by the power generation evaluation means 7 is thereafter performed. The photovoltaic power generation amount calculation means 36 formed in the power generation evaluation means 7 calculates the photovoltaic power generation amount by Ep = H × K × P × 365 ÷ 1, which is known as an energy calculation formula for solar power generation (S-3). ).

  Where Ep is the annual power generation, H is the average daily solar radiation on the roof and walls of the mid-to-high-rise building 4, K is the design factor, P is the solar power generation unit, 365 is the number of days in the year, and 1 is in the standard state It means the solar radiation intensity and is stored in the power generation evaluation means 7 as the solar power generation amount calculation data 42, respectively. The calculated solar power generation amount of each middle-high-rise building 4 is displayed on the display via, for example, the output unit 27. In this case, the building name is also displayed so that the target middle-high-rise building 4 can be identified. It is desirable.

  In addition, in consideration of the limitation of the installation area by the window of the solar power generation module, a constant for estimating the solar power generation amount on the side wall surface of the mid-to-high-rise building 4 to be lower than the rooftop solar power generation amount may be added to the above calculation formula. desirable.

  Moreover, the power generation evaluation means 7 described above includes self-sufficiency rate evaluation means 13 that evaluates the energy self-sufficiency rate of each medium- and high-rise building 4, and calculates the energy consumption basic unit for each medium-to-high-rise building 4 in order to calculate the self-sufficiency rate. Consumption unit calculation means 38 and energy consumption calculation means 39 for calculating the energy consumption for each of the high-rise buildings 4 using the energy consumption unit calculated thereby. As shown in FIG. 6, the energy consumption basic unit calculation means 38 refers to the usage data 10 set in each middle-high-rise building 4 as the GIS attribute data 8 (S40), and is one-to-one for each type of the usage data 10. The energy consumption basic unit for which the corresponding amount is set is determined for each middle-high-rise building 4 (S40-1).

  The energy consumption calculation means 39 multiplies the energy consumption basic unit by the total floor area or the number of households for each middle and high-rise building 4 to calculate the energy consumption. As shown in FIG. 6, the energy consumption is calculated based on whether the medium-to-high-rise building 4 subject to energy consumption calculation belongs to a business system based on the usage data 10 (S41) or belongs to a general house. It is determined whether there is (S42) or whether it belongs to an apartment house (S43). Of these, it is assumed that 1.5 households live in ordinary houses (S42-1), and in the case of apartment houses, the general total floor area of ordinary houses is divided by 1.5 households. The total floor area per household is estimated, and the total floor area of the apartment house is divided by the total floor area per household to estimate the number of households in the apartment house (S43-1).

  On the other hand, in the case of a business building, first, the presence / absence of the fixed asset data 11 is confirmed (S-44). When the fixed asset data 11 is provided, the total floor area is read from the fixed asset data 11 ( S44-1). When there is no fixed asset data 11, the building area is calculated from the shape data 12 (S45), and the presence or absence of the floor data 23 is confirmed (S46). When the floor data 23 is provided, the floor number and the building area are calculated. To estimate the total floor area (S46-1). In the case of the mid-to-high-rise buildings 4, most of them are expected to have floor data 23, but if there is no floor data 23, it is assumed that they are equivalent to a general two-story building. The floor area is estimated (S47). The assumption of the number of floors may be changed as appropriate in consideration of the fact that the building is a middle-high-rise building 4 and the setting may be adjusted.

  When the number of residential households or the total floor area of the business system is obtained as described above, the energy consumption basic unit determined previously is multiplied by these to obtain the energy consumption of each middle-high-rise building 4. In addition, the calculation process of the energy consumption of the middle-high-rise building 4 described above can be performed when the middle-high-rise building 4 is extracted in the above-described block 2 as shown in FIG. 1 (S-6).

  On the other hand, the self-sufficiency rate evaluation means 13 obtains a percentage of the photovoltaic power generation amount in each middle-to-high-rise building 4 with respect to the energy consumption amount. The energy self-sufficiency rate is calculated (S-4). As a result of the calculation, if the self-sufficiency rate is 60% or more, it is evaluated that it is suitable for introduction of solar power generation, and if it is 50% or less, for example, it is evaluated that it is not suitable for introduction (S- 5). This evaluation result is output via the output unit 27 and displayed on a display or the like.

  Therefore, only by designating the block 2 by the area designating means 3, an appropriate number of medium- and high-rise buildings 4 suitable for solar power generation in the block 2 are calculated, and other appropriate medium-to-high-rise buildings 4 ' The amount of solar power generation is calculated based on the amount of solar radiation that takes into account the shadow formed by the above, and further, the suitability of the introduction of solar power generation into the middle-high-rise building 4 is determined according to the expected self-sufficiency of solar power generation be able to. By including the self-sufficiency rate in the introduction judgment of solar power generation in this way, it is possible to seek an appropriate and appropriate response to the environmental load, promote the necessary introduction of solar power generation well, and reduce the environmental load efficiently. can do.

  FIG. 8 shows a second embodiment of the present invention. In this embodiment, the area designating means 3 designates the entire government-designated city as the evaluation target area 2 as a unit. Further, the area designating means 3 appropriately divides the entire government-designated city into each block having the same size as that of the above-described embodiment, and extracts the middle and high-rise buildings 4 in each block (S-50). Evaluate the introduction of The division of the ordinance-designated city into blocks can be performed by registering blocks in advance, or can be performed by automatically extracting blocks from the area.

  Thereafter, similarly, the solar radiation amount is calculated for each middle-high-rise building 4 (S-51), and the photovoltaic power generation amount is obtained (S-52). Similarly, the energy consumption of the mid-to-high-rise building 4 is also calculated (S-53), and solar power generation is evaluated based on these (S-54). By repeating this for all city blocks (S-55), in this embodiment, which city block in the entire city 2 is suitable for the introduction of photovoltaic power generation, that is, the optimum photovoltaic power generation in the city 2 The introduction method can be evaluated in units of city blocks (S-56).

Further, in this embodiment, as the evaluation of solar power generation described above, the cost performance evaluation means 40 of the power generation evaluation means 7 not functioning in the above-described embodiment, the CO ₂ emission estimation calculation means 41, and In this embodiment, the process by is performed in parallel with the process by the self-sufficiency rate evaluation means 13 described above. As shown in FIG. 7 (b), the cost performance evaluation means 40 calculates the cost per unit area per year generated by the introduction of the solar power generation facility, for example, per unit area per year of the middle-high-rise building 4. If the calculated numerical value is larger than 1, an evaluation that it is suitable for the introduction of solar power generation is output to a display or the like. The apparatus installation costs shown in FIG. 7B are stored in the power generation evaluation means 7 as cost performance trial calculation data 43.

On the other hand, the CO ₂ emission estimation means 41 uses the amount of CO ₂ generated by the power generation method as an evaluation factor. As shown in FIG. 7C, the power supply is switched from, for example, coal-fired power generation to solar power generation. It shows that the CO ₂ emission amount is reduced from 975 to 0. Here, the numerical values shown in the table are the amount of CO ₂ generated by 1 KW power generation, and the parentheses are the amount of CO ₂ generated at the time of facility introduction or operation. The CO ₂ generation amount corresponding to each power generation method shown in FIG. 7C is stored in the power generation evaluation means 7 as the CO ₂ emission trial calculation data 44. In this case, it is desirable to take in the power supply method before the introduction of the evaluation target area 2 from the GIS data 20.

It is a flowchart which shows this invention. It is a block diagram which shows this invention. It is a figure explaining an evaluation object area and an evaluation object building, (a) is a figure showing the state where the evaluation object area was specified, and (b) is a figure showing the solar radiation simulation state of an evaluation object building. It is a figure which shows the process by a solar radiation condition calculating part, (a) is a figure which shows a solar radiation antipodal area, (b) is a figure which shows a shadow interference area. It is a flowchart of the process by a solar radiation condition calculating part. It is a flowchart of the process by an energy consumption calculating means. It is a figure which shows the data used with a power generation evaluation means, (a) is a figure explaining attribute data, (b) is a figure explaining the process by a cost performance evaluation means, (c) is a process by the CO2 emission estimation part. It is a figure explaining. It is a figure which shows other embodiment of this invention, and is a flowchart.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Map data 2 Evaluation object area 3 Area designation means 4 Evaluation object building 4 'Other evaluation object building 4a Solar radiation opposite surface 5 Solar radiation opposite area calculation means 6 Shadow interference area calculation means 7 Power generation evaluation means 8 Attribute data 9 Building Designation means 10 Application data 11 Fixed asset data 12 Shape data 13 Self-sufficiency rate evaluation means

Claims (5)

An area designation means for designating an evaluation target area from GIS map data;
A solar radiation area calculation unit for calculating the solar radiation area in each of the plurality of buildings to be evaluated appropriately set in the evaluation area from the positional relationship between the three-dimensional model of the GIS and the sun position;
A shadow interference area calculation unit for calculating a shaded area formed by another building to be evaluated on the solar radiation surface of each building to be evaluated from solar radiation simulation to the three-dimensional solid model;
Multiplying the power generation coefficient set in the evaluation target area against the difference between the solar radiation area and the shaded area, the individual photovoltaic power generation amount by each evaluation target building is obtained,
A photovoltaic power generation evaluation system comprising: a power generation evaluation unit that totalizes individual photovoltaic power generation amounts of a plurality of evaluation target buildings in an evaluation target region to calculate a total solar power generation amount of the entire evaluation target region.   The solar power generation evaluation system according to claim 1, further comprising: a building designating unit that designates the building to be evaluated from map data of GIS or attribute data of the building to be evaluated. The power generation evaluation means refers to the use data of the GIS attribute data related to each evaluation target building and the fixed asset data or shape data,
Multiply the energy consumption intensity set for each type of application data by the total floor area of fixed asset data, or multiply the estimated total floor area obtained by multiplying the shape data by the total floor area conversion value. Estimate the energy consumption of the building to be evaluated, and solar power for each building to be evaluated on condition that the self-sufficiency rate obtained by dividing the individual photovoltaic power generation amount by the energy consumption satisfies a predetermined threshold The solar power generation evaluation system according to claim 1, further comprising a self-sufficiency rate evaluation unit that outputs a determination result of a power generation introduction effect.   The solar power generation evaluation system according to any one of claims 1 to 3, wherein the area designating unit designates a block on map data as a unit of evaluation as an evaluation target area. Specify the evaluation area from the map data of GIS,
Next, the solar radiation area in each of the plurality of buildings to be evaluated appropriately set in the region to be evaluated is calculated from the positional relationship between the three-dimensional model of the GIS and the sun position, and Estimate the shade area formed by other buildings to be evaluated on the solar radiation surface of each building to be evaluated from solar radiation simulation,
After that, by multiplying the difference between the solar radiation area and the shade area by the power generation coefficient set in the evaluation target area, the individual photovoltaic power generation amount by each evaluation target building is obtained,
A solar power generation evaluation method that estimates the total solar power generation amount of the entire evaluation target area by summing up the individual solar power generation amounts of a plurality of evaluation target buildings in the evaluation target area.

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