EP3837648A1 - Method for determining the energy potential of a roof of a building - Google Patents
Method for determining the energy potential of a roof of a buildingInfo
- Publication number
- EP3837648A1 EP3837648A1 EP19773885.9A EP19773885A EP3837648A1 EP 3837648 A1 EP3837648 A1 EP 3837648A1 EP 19773885 A EP19773885 A EP 19773885A EP 3837648 A1 EP3837648 A1 EP 3837648A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- building
- roof
- energy potential
- determining
- areas
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000009434 installation Methods 0.000 claims abstract description 22
- 230000002349 favourable effect Effects 0.000 claims abstract description 11
- 238000004364 calculation method Methods 0.000 claims description 18
- 230000008569 process Effects 0.000 description 11
- 238000004519 manufacturing process Methods 0.000 description 7
- 230000005611 electricity Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 230000003116 impacting effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Definitions
- the present invention relates to a method for determining the energy potential of a roof of a building which makes it possible to locate the zones most favorable to the installation of panels. photovoltaic or thermal.
- the purpose of the energy potential determination process is to assess the positioning on any territory of the energy potential of solar roofs and to provide users with economic and financial estimates for their photovoltaic or thermal installation project (s), as well as an assessment of their environmental impacts (reduction of CO2, etc.).
- the energy potential determination process meets the needs of several types of users:
- the energy profile determination process and its application encourage the development of renewable energies in the regions. It becomes an essential part to meet the objectives of the energy transition of communities.
- the energy profile determination process and its application allow companies to automatically access requests for photovoltaic projects. They thus benefit from new market opportunities by minimizing installation costs.
- the energy profile determination process and its application provide an automated system for exchanging with users, simulating quotes and validating projects.
- the method of determining the energy potential of a roof of a building making it possible to locate the areas most favorable to the installation of photovoltaic or thermal panels, according to the present invention consists:
- the method for determining the energy potential of a roof of a building according to the present invention further comprises: • calculate the surface of the roof areas of the previously located building receiving the highest energy potential;
- the method for determining the energy potential of a roof of a building according to the present invention also consists of:
- the method for determining the energy potential of a roof of a building according to the present invention consists:
- the process of determining the energy potential of a building roof making it possible to locate the areas most favorable to the installation of photovoltaic or thermal panels comprises a first step which consists in preparing the digital terrain model (DTM).
- DTM digital terrain model
- the digital terrain model is a high-resolution description of the variations in vertical level over the area studied. This includes terrain relief and buildings, up to trees and public benches if the resolution is sufficient. This knowledge of obstacles is important for predicting the shadows cast on solar panels, thereby impacting energy production.
- the digital terrain model (DTM) must be stored in an appropriate format
- the process of determining the energy potential of a building roof making it possible to locate the areas most favorable to the installation of photovoltaic or thermal panels comprises a second step which consists in calculating the footprint on the ground of the building.
- the simplified calculation of the solar cadastre is based on the knowledge of the delimitation on the ground of buildings in the area.
- This digital cadastre is provided either by the customer, or previously established and retrieved from a database that allows the reprojection and cutting of the information transmitted.
- the process of determining the energy potential of a building roof making it possible to locate the areas most favorable to the installation of photovoltaic or thermal panels comprises a third step which consists in measuring the slopes and orientations of the building roofs
- DTM digital terrain model
- the orientation (angle to the south) and the inclination of the roof pan are present in the database: “slope” for the inclination and “aspect” for the orientation.
- the orientation (angle to the south) and the inclination of the roof pan are determined from the information present in a database. These are precalculated using the digital terrain model DTM.
- the algorithm used to determine the slope and the aspect uses a 3x3 neighborhood around each cell of the altitude file.
- the process for determining the energy potential of a building roof making it possible to locate the areas most favorable to the installation of photovoltaic or thermal panels comprises a fourth step which consists in determining the solar irradiation and the shadows close to the roofs. of the building
- the solar irradiation map is generated at high resolution, taking into account the slope and orientation of the roofs as well as the shadows cast by the surrounding obstacles (hills, buildings, chimneys, trees, etc.). can be between the sun and the roof.
- the near shade mask that can affect the profitability of a roof is generated from digital elevation data from the digital terrain model (DTM) at 20 cm resolution over a radius of 500 m around the center of the roof pan .
- DTM digital terrain model
- the approach of this calculation is to detect all obstacles (buildings, trees, urban furniture, etc.) present around the selected area which generate a potential shadow cast on the roof during the daily trajectory of the sun.
- the method for calculating shadows is performed for each degree of azimuth (between 0 and 359 °).
- the algorithm scans the line of sight and calculates the angle that allows the line of sight to pass just above the highest obstacle.
- This service provides time series of global, direct and diffuse irradiations on a horizontal surface, as well as direct irradiation on a normal plane (DNI) for real weather conditions but also in the case of clear cloudless sky conditions.
- the geographic coverage comes from the Meteosat satellite and covers Europe, Africa, the Atlantic Ocean and the Middle East.
- the determination method according to the present invention uses meteorological measurements from the observation networks of the WMO (World Meteorological Organization) network and the NCEP ADP Global Surface Observational Weather Data and complies with the WMO standards concerning the validation of atmospheric models.
- WMO World Meteorological Organization
- the position of the sun relative to the center of the roof pan is calculated.
- Two angles are extracted: the zenith (the vertical angle giving the height of the sun) and the azimuth (the horizontal angle relative to the North) as in Figure 1.
- the method according to the present invention measures the total irradiation accumulated over a day from a treatment carried out over several days (eg March 21, June 21, September 21 and December 21) to take into account the seasonal differences in the height of the sun to obtain an annual value in kWh / m 2 per year.
- the method of determining the energy potential of a roof of a building making it possible to locate the zones most favorable to the installation of photovoltaic or thermal panels comprises a fifth step which consists in locating the zones of the roofs of the building receiving the energy potential the highest.
- This location of the roof areas of the building receiving the highest energy potential is obtained by calculating the most suitable useful or exploitable surface area of the roof.
- This area is calculated by taking the number of pixels and multiplying by the size of the pixel (0.8 x 0.8 square 2 ).
- the method of determining the energy potential of a building roof making it possible to locate the areas most favorable to the installation of photovoltaic or thermal panels also makes it possible to establish and give technical information to the user on an interface. online or on a mobile app such as:
- Usable power (kW) Usable area (m 2 ) x Average installed power (Wc / m 2 ) / 1000, with the assumption of an Average installed power per square meter equal to 145 Wp / m 2 .
- the cost of the installation is estimated by applying the formula:
- Installation costs ( €) Power (kW) x Average cost of a photovoltaic watt ( € / W) with the assumption of an average cost of a photovoltaic watt equal to 2.5 € / W
- the number of panels is calculated by counting the number of pixels present inside each of the polygons drawn. This number of pixels is then multiplied by their size in m 2 in order to determine the surface and the number of photovoltaic or thermal panels to be placed in the most favorable areas.
- Calculations of the solar potential of a roof model the simulation of the response of a panel to solar radiation for each hour over a full year taking into account the solar angles, direct and diffuse irradiation, temperature, speed of wind and shading effects.
- the DC power is calculated by panel by the module, it is then converted to AC using the properties of an inverter.
- the technical characteristics of the panel and the inverter will be updated every year to follow the technological developments of the systems.
- the calculations are performed at each hourly time step taking into account the solar irradiation and the outside temperature as in Figure 2.
- the calculations take into account the technical characteristics of the thermal sensors which make it possible to determine the performance of the panel according to the weather conditions.
- the CO2 factor (expressed in kg per kWh produced) indicates the quantity of C0 2 equivalent emitted by the greenhouse gases produced for each kilowatt hour of electricity.
- the factor C0 2 varies according to the technology used and the performance of the installations.
- the quantity of C0 2 produced is estimated by applying the formula:
- Electricity produced in kWh x factor C0 2 in kg / kWh quantity of C0 2 produced in kg
- the emission factor for photovoltaic electricity for France is 56 g of C0 2 per kWh.
- ADEME and RTE carry out a mix of the various power plants in proportion to their contribution.
- the C0 2 equivalent avoided is therefore the difference between these two quantities of C0 2 produced.
- the calculation is carried out over a period of 10 years.
- the method according to the present invention makes it possible to carry out simulations outside the boundaries of the buildings, thus enabling communities, social landlords and businesses to carry out projects grouping together several buildings.
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Roof Covering Using Slabs Or Stiff Sheets (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1857528A FR3085080B1 (en) | 2018-08-17 | 2018-08-17 | METHOD FOR DETERMINING THE ENERGY POTENTIAL OF A ROOF OF A BUILDING |
PCT/FR2019/000134 WO2020035637A1 (en) | 2018-08-17 | 2019-08-16 | Method for determining the energy potential of a roof of a building |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3837648A1 true EP3837648A1 (en) | 2021-06-23 |
Family
ID=65951622
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19773885.9A Pending EP3837648A1 (en) | 2018-08-17 | 2019-08-16 | Method for determining the energy potential of a roof of a building |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP3837648A1 (en) |
FR (1) | FR3085080B1 (en) |
WO (1) | WO2020035637A1 (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114140010B (en) * | 2021-12-08 | 2023-11-03 | 国网河北省电力有限公司经济技术研究院 | Photovoltaic power generation amount evaluation method, device and storage medium based on land utilization |
CN115983011B (en) * | 2023-01-04 | 2024-03-22 | 四川省建筑设计研究院有限公司 | Photovoltaic power generation power simulation method, system and storage medium based on annual radiation quantity |
CN115880691B (en) * | 2023-03-02 | 2023-05-23 | 国网山东省电力公司东营供电公司 | Roof photovoltaic potential estimation method based on computer vision |
-
2018
- 2018-08-17 FR FR1857528A patent/FR3085080B1/en active Active
-
2019
- 2019-08-16 WO PCT/FR2019/000134 patent/WO2020035637A1/en unknown
- 2019-08-16 EP EP19773885.9A patent/EP3837648A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
FR3085080B1 (en) | 2022-05-13 |
WO2020035637A1 (en) | 2020-02-20 |
FR3085080A1 (en) | 2020-02-21 |
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