Photovoltaic power generation investment benefit estimation method serving BIPV (building integrated photovoltaics)

Abstract

The invention relates to a photovoltaic power generation investment benefit estimation method serving a building integrated photovoltaics (BIPV), which belongs to the technical field of photovoltaic design and comprises the following operation steps of: 1, collecting, integrating and using all data through a data integration basic module; the data integration basic module is used for managing data, wherein the data comprises input type parameters and database built-in parameters. 2, performing investment budget calculation of the whole project in a calculation and analysis module to generate a calculation result; the calculation and analysis module is divided into three calculation modules: calculating the shadow block area of the selected region; calculating the cost of the photovoltaic power station according to the input parameters and database data; and the revenue benefit of the photovoltaic power station is comprehensively estimated. And 3, issuing an economic evaluation report at an output interaction module, and carrying out visual economic evaluation interaction with the user. And the data calculation module performs power generation amount estimation, cost estimation and economic evaluation, and finally outputs an economic evaluation report as data support, thereby facilitating project investment decision.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic design, and in particular to a photovoltaic power generation investment benefit estimation method serving BIPV. Background Art

[0002] At present, there is a lack of a photovoltaic power generation investment benefit estimation system specifically for BIPV in the market. Existing estimation methods often have problems such as low accuracy, inability to meet personalized needs, and incompatibility with the working methods of the construction industry, and cannot meet the actual needs of BIPV projects. In addition, the existing estimation methods or systems are relatively complex, using professional technologies such as mathematical models or AI algorithms, which are difficult to understand without professional knowledge.

[0003] In the Chinese invention patent with application publication number CN117350431A and application publication date 2024-01-05, a photovoltaic power generation prediction system based on digital twin is disclosed. In this scheme, a digital twin model of a photovoltaic power station is constructed using modeling software or programming tools, photovoltaic power generation operation data is collected in real time through sensors and monitoring equipment, and the power generation of the power station is predicted with high precision using the SVM algorithm.

[0004] However, the shortcomings of this solution are: ①This method requires a lot of high-precision monitoring equipment and is relatively costly.

[0005] ② This method requires the collection of power station operation data, so the prediction of photovoltaic power generation is made after the project has been built and operated for a period of time, and it is impossible to provide data support for the estimation during the project investment estimation period.

[0006] ③ The plan only predicts the power generation, without further analyzing the benefits of this investment, detailed investment cost estimation and photovoltaic power station benefit estimation, as well as necessary investment analysis such as further investment return rate, cost recovery period and time value of money analysis.

[0007] ④ This method does not establish a detailed database, does not conduct a detailed analysis of the data of other similar power plants that have been built, does not make full use of the data of historical power generation projects, and lacks the database concept of the information process. Summary of the invention

[0008] The present invention mainly solves the deficiencies in the prior art and provides a method for estimating the investment benefits of photovoltaic power generation serving BIPV. It uses a digital twin model as an information carrier to create a historical cost, operation and maintenance, and environmental database. It conducts sunlight analysis through the digital twin model, estimates power generation and costs in the data calculation module, and conducts economic evaluation. Finally, it outputs an economic evaluation report as data support to facilitate project investment decisions.

[0009] The above technical problems of the present invention are mainly solved by the following technical solutions: A photovoltaic power generation investment benefit estimation method serving BIPV includes the following steps: Step 1: Collect, integrate and use all data through the data integration basic module; the data integration basic module is used to manage data, including input type parameters and database built-in parameters.

[0010] Step 2: Calculate the investment budget of the entire project in the calculation and analysis module and generate the calculation results. The calculation and analysis module is divided into three calculation modules: calculate the shadow area of ​​the selected area; calculate the cost of the photovoltaic power station based on the input parameters and database data; and comprehensively estimate the revenue benefits of the photovoltaic power station.

[0011] Step 3: Issue an economic assessment report in the output interaction module and conduct intuitive economic assessment interaction with the user.

[0012] Preferably, the building type, geographical location and building area in the input type parameters and the parameters related to the existing buildings are all provided by the BIM model; the climate model loads the meteorological information of the nearby meteorological station through the geographical location information provided by the BIM model to simulate the local climate model; the parameters input by the user include installed capacity, photovoltaic system type, loan ratio, loan interest rate, and loan term.

[0013] As a preference, the database has built-in parameters, and the parameters input by the user include installed capacity, photovoltaic system type, loan ratio, loan interest rate, loan term and other parameters. The system will give recommended values ​​as default values ​​according to database cases under certain conditions, which will be used when no value is input.

[0014] Preferably, the shadow block area calculation includes the following steps: S1: Calculate the shadow area based on the 3D model. Open the BIM model of the building. If there is no 3D model, you can create a volume model through Revit software. For built buildings, you can also use the converted 3D silhouette 3D model.

[0015] S2: The complete BIM model includes the geographic information of the building. If there is no geographic information in the model, enter the longitude and latitude of the building's location in Revit.

[0016] S3: Perform daylight settings. The photovoltaic power station design clearly stipulates that no shadows should occur from 9:00 a.m. to 3:00 p.m. on the winter solstice. The shadow calculation time is set from 9:00 a.m. to 3:00 p.m. on the winter solstice, and is calculated every 1 hour.

[0017] S4: The edge line of the roof structure forms projection lines along the sunlight rays on the horizontal plane based on the current solar altitude angle and azimuth angle values. These projection lines intersect with the horizontal projection lines of the edge lines to form shadow blocks.

[0018] S5: Take the union of the shadow blocks of all time periods to obtain the total shadow domain including all shadow blocks, and mark it with a model line in the plan view.

[0019] S6: Calculate the shadow area S, which is the shadow area input for subsequent calculations.

[0020] As a preference, the roof area of ​​the building is obtained as S0 through the BIM model, and it is assumed that the effective area obtained by deducting the shadow area S is used to build a photovoltaic power station.

[0021] As a preferred option, the cost of a photovoltaic power station consists of fixed cost Q, operating cost C and loan interest CF; the cost of a photovoltaic power station is calculated based on the effective area of ​​the photovoltaic power station. The type of photovoltaic module is a key parameter and similar engineering case values ​​are retrieved from the database of this system.

[0022] Preferably, the cost calculation of the photovoltaic power station includes the following steps: S1: Calculate fixed cost Q; .

[0023] Q gfz : Photovoltaic module cost; Q zj : Photovoltaic module support cost; Q az : Installation fee; Q dl : Cable cost; Q jc : Photovoltaic support basic cost; Q nb : Inverter cost; Q by : Transformer cost; Q jk : Monitoring system cost; Q fp : The total cost of other supporting facilities of the photovoltaic power station, including but not limited to water supply and drainage systems and fire-fighting equipment; Q sg :Construction series cost, including construction and installation costs, and construction management costs.

[0024] S2: Calculate the operation and management cost. The operation and management cost is positively correlated with the scale of the photovoltaic power station. This value is estimated by extracting a certain proportion of the fixed cost Q. .

[0025] : Fixed costs; : Between 1% and 3%, this parameter is an input value set by the user.

[0026] S3: Calculate the annual loan interest Cf, .

[0027] : Fixed costs; : The percentage of loan funds to fixed costs. This parameter is an input value set by the user; : The base annual interest rate for the loan, provided by the database.

[0028] Preferably, the photovoltaic power station revenue benefit calculation includes the following steps: S1: Calculate the annual income I of the photovoltaic power station, assuming that the photovoltaic power station is generating electricity at full load, and do not consider the impact of photovoltaic module attenuation on power generation: ; :The installed capacity of photovoltaic power stations is based on the effective area of ​​the power station through the database Match the appropriate installed capacity; : The annual power generation time of the photovoltaic power station at full load, counted in hours, which is determined by the local sunshine conditions and provided by the database; : The on-grid electricity price is determined by local policies and the value is provided by the database; This is other income of the power plant, such as government subsidies. The value is provided by the database or entered manually.

[0029] S2: Calculate the annual income In of the photovoltaic power station, assuming that the photovoltaic power station generates electricity at full load every year and outputs electricity stably: ; : Annual income of photovoltaic power station; : Operation and management costs; : Annual loan interest; : Fixed costs; : The life span of photovoltaic modules is determined by the material type and the value is provided by the database.

[0030] Preferably, the output interaction module mainly outputs an economic evaluation report, and presents the evaluation results to investors using a visual interactive interface, uses a three-dimensional model to display the analysis results, highlights the photovoltaic layout area in the three-dimensional digital twin model, and can dynamically update the economic evaluation results in real time when investors modify the photovoltaic area layout range.

[0031] The present invention can achieve the following effects: The present invention provides a photovoltaic power generation investment benefit estimation method serving BIPV. Compared with the existing technology, it uses a digital twin model as an information carrier to create a historical cost, operation and maintenance, and environmental database. The digital twin model is used to perform daylight analysis, and the power generation and cost estimation are performed in the data calculation module. An economic evaluation is performed, and finally an economic evaluation report is output as data support to facilitate project investment decisions.

[0032] By establishing an integrated digital twin model of photovoltaic buildings and using a data cost module library, the investment cost is estimated, including raw material and equipment costs, installation and commissioning costs, and operation and maintenance costs. Using BIM (Building Information Model) as the data carrier, the project's geographical location and environmental information, surrounding building environmental information, and historical weather and meteorological information are used to analyze light and sunlight, and the power generation is predicted through the calculation module to further analyze the economic benefits of the photovoltaic power station.

[0033] Through the estimated investment cost and expected investment return, the economic evaluation of the entire project is carried out, and an economic evaluation report is issued. In addition, a visual interactive interface is created in the 3D BIM model to intuitively display economic indicators such as cost, power generation, and investment payback period. This can accurately predict and evaluate the economic feasibility of integrating photovoltaic systems in buildings, provide strong support for investment decisions, reduce investment risks and improve economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of the investment benefit estimation of voltaic power generation according to the present invention. DETAILED DESCRIPTION

[0035] The technical solution of the invention is further specifically described below through embodiments and in conjunction with the accompanying drawings.

[0036] Example: Figure 1 As shown, a photovoltaic power generation investment benefit estimation method serving BIPV includes the following steps: Step 1: Collect, integrate and use all data through the data integration basic module; the data integration basic module is used to manage data, including input type parameters and database built-in parameters.

[0037] The building type, geographical location, building area and existing building-related parameters in the input type parameters are all provided by the BIM model; the climate model loads the meteorological information of nearby meteorological stations through the geographical location information provided by the BIM model to simulate the local climate model; the parameters input by the user include installed capacity, photovoltaic system type, loan ratio, loan interest rate and loan term.

[0038] The built-in parameters in the database are input by the user, including installed capacity, PV system type, loan ratio, loan interest rate, loan term and other parameters. The system will give recommended values ​​as default values ​​according to database cases under certain conditions and will be used when no value is input.

[0039] Step 2: Calculate the investment budget of the entire project in the calculation and analysis module and generate the calculation results. The calculation and analysis module is divided into three calculation modules: calculate the shadow area of ​​the selected area; calculate the cost of the photovoltaic power station based on the input parameters and database data; and comprehensively estimate the revenue benefits of the photovoltaic power station.

[0040] The calculation of the shadow area includes the following steps: S1: Calculate the shadow area based on the 3D model. Open the BIM model of the building. If there is no 3D model, you can create a volume model through Revit software. For built buildings, you can also use the converted 3D silhouette 3D model.

[0041] S2: The complete BIM model includes the geographic information of the building. If there is no geographic information in the model, enter the longitude and latitude of the building's location in Revit.

[0042] S3: Perform daylight settings. The photovoltaic power station design clearly stipulates that no shadows should occur from 9:00 a.m. to 3:00 p.m. on the winter solstice. The shadow calculation time is set from 9:00 a.m. to 3:00 p.m. on the winter solstice, and is calculated every 1 hour.

[0043] S4: The edge line of the roof structure forms projection lines along the sunlight rays on the horizontal plane based on the current solar altitude angle and azimuth angle values. These projection lines intersect with the horizontal projection lines of the edge lines to form shadow blocks.

[0044] S5: Take the union of the shadow blocks of all time periods to obtain the total shadow domain including all shadow blocks, and mark it with a model line in the plan view.

[0045] S6: Calculate the shadow area S, which is the shadow area input for subsequent calculations.

[0046] The roof area of ​​the building is obtained through the BIM model as S0. It is assumed that the effective area obtained by deducting the shadow area S is used to build a photovoltaic power station.

[0047] The cost of a photovoltaic power station consists of fixed cost Q, operating cost C and loan interest CF. The cost of a photovoltaic power station is calculated based on the effective area of ​​the photovoltaic power station. The type of photovoltaic module is a key parameter and similar engineering case values ​​are retrieved from the database of this system.

[0048] The cost calculation of a photovoltaic power plant includes the following steps: S1: Calculate fixed cost Q; .

[0049] Q gfz : Photovoltaic module cost; Q zj : Photovoltaic module support cost; Q az : Installation fee; Q dl : Cable cost; Q jc : Photovoltaic support basic cost; Q nb : Inverter cost; Q by : Transformer cost; Q jk : Monitoring system cost; Q fp : The total cost of other supporting facilities of the photovoltaic power station, including but not limited to water supply and drainage systems and fire-fighting equipment; Q sg :Construction series cost, including construction and installation costs, and construction management costs.

[0050] S2: Calculate the operation and management cost. The operation and management cost is positively correlated with the scale of the photovoltaic power station. This value is estimated by extracting a certain proportion of the fixed cost Q. .

[0051] : Fixed costs; : Between 1% and 3%, this parameter is an input value set by the user.

[0052] S3: Calculate the annual loan interest Cf, .

[0053] : Fixed costs; : The percentage of loan funds to fixed costs. This parameter is an input value set by the user; : The base annual interest rate for the loan, provided by the database.

[0054] The calculation of the revenue benefits of a photovoltaic power station includes the following steps: S1: Calculate the annual income I of the photovoltaic power station, assuming that the photovoltaic power station is generating electricity at full load, and do not consider the impact of photovoltaic module attenuation on power generation: ; :The installed capacity of photovoltaic power stations is based on the effective area of ​​the power station through the database Match the appropriate installed capacity; : The annual power generation time of the photovoltaic power station at full load, counted in hours, which is determined by the local sunshine conditions and provided by the database; : The on-grid electricity price is determined by local policies and the value is provided by the database; :Other income of the power station, such as government subsidies. The value is provided by the database or entered manually.

[0055] S2: Calculate the annual income In of the photovoltaic power station, assuming that the photovoltaic power station generates electricity at full load every year and outputs electricity stably: ; : Annual income of photovoltaic power station; : Operation and management costs; : Annual loan interest; : Fixed costs; : The life span of photovoltaic modules is determined by the material type and the value is provided by the database.

[0056] Step 3: Issue an economic assessment report in the output interaction module and conduct intuitive economic assessment interaction with users. The output interaction module mainly outputs the economic assessment report and presents the assessment results to investors using a visual interactive interface. It uses a three-dimensional model to display the analysis results, highlights the photovoltaic layout area in the three-dimensional digital twin model, and can dynamically update the economic assessment results in real time when investors modify the photovoltaic area layout range.

[0057] In summary, the photovoltaic power generation investment benefit estimation method serving BIPV uses the digital twin model as an information carrier to create a historical cost, operation and maintenance, and environmental database. It conducts sunlight analysis through the digital twin model, estimates power generation and costs in the data calculation module, and conducts economic evaluation. Finally, it outputs an economic evaluation report as data support to facilitate project investment decisions.

[0058] The above description is only a specific embodiment of the present invention, but the structural features of the present invention are not limited thereto. Any changes or modifications made by any technician in the field of the present invention are included in the patent scope of the present invention.

Claims

1. A photovoltaic power generation investment benefit estimation method serving BIPV, characterized in that The steps are as follows: Step 1: Collect, integrate and use all data through the data integration basic module; the data integration basic module is used to manage data, including input type parameters and database built-in parameters; Step 2: Calculate the investment budget of the entire project in the calculation and analysis module and generate the calculation results; The calculation and analysis module is divided into three calculation modules: calculating the area of ​​the shadow block in the selected area; Calculate the cost of the photovoltaic power plant based on input parameters and database data; Comprehensively estimate the revenue benefits of photovoltaic power stations; Step 3: Issue an economic assessment report in the output interaction module and conduct intuitive economic assessment interaction with the user.

2. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 1 is characterized by: The building type, geographical location, building area and existing building-related parameters in the input type parameters are all provided by the BIM model; the climate model loads the meteorological information of nearby meteorological stations through the geographical location information provided by the BIM model to simulate the local climate model; the parameters input by the user include installed capacity, photovoltaic system type, loan ratio, loan interest rate and loan term.

3. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 2 is characterized by: The built-in parameters in the database are input by the user, including installed capacity, PV system type, loan ratio, loan interest rate, loan term and other parameters. The system will give recommended values ​​as default values ​​according to database cases under certain conditions, which will be used when no value is input.

4. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 1 is characterized in that The calculation of the shadow area includes the following steps: S1: Calculate the shadow area based on the 3D model, open the BIM model of the building, if there is no 3D model, you can use Revit software to create a volume model, for the built building can also use the converted 3D silhouette 3D model; S2: The complete BIM model includes the geographic information of the building. If there is no geographic information in the model, enter the longitude and latitude of the building in Revit. S3: Perform daylight setting. The photovoltaic power station design clearly stipulates that no shadow should occur from 9:00 a.m. to 3:00 p.m. on the winter solstice. The shadow calculation time is set from 9:00 a.m. to 3:00 p.m. on the winter solstice, and is calculated every 1 hour. S4: The edge line of the roof structure forms projection lines along the sunlight rays on the horizontal plane based on the current solar altitude angle and azimuth values. These projection lines intersect with the horizontal projection lines of the edge line to form a shadow block; S5: Take the union of the shadow blocks of all time periods to obtain the total shadow domain including all shadow blocks, and mark it with a model line in the plan view; S6: Calculate the shadow area S, which is the shadow area input for subsequent calculations.

5. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 4 is characterized by: The roof area of ​​the building is obtained through the BIM model as S0. It is assumed that the effective area obtained by deducting the shadow area S is used to build a photovoltaic power station.

6. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 1, characterized in that: The cost of a photovoltaic power station consists of fixed cost Q, operating cost C and loan interest CF. The cost of a photovoltaic power station is calculated based on the effective area of ​​the photovoltaic power station. The type of photovoltaic module is a key parameter and similar engineering case values ​​are retrieved from the database of this system.

7. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 6 is characterized in that The cost calculation of a photovoltaic power plant includes the following steps: S1: Calculate fixed cost Q; ； Q gfz : Photovoltaic module cost; Q zj : Photovoltaic module support cost; Q az : Installation fee; Q dl : Cable cost; Q jc : Photovoltaic support basic cost; Q nb : Inverter cost; Q by : Transformer cost; Q jk : Monitoring system cost; Q fp : The total cost of other supporting facilities of the photovoltaic power station, including but not limited to water supply and drainage systems and fire-fighting equipment; Q sg : Construction series cost, including construction and installation costs, construction management costs; S2: Calculate the operation and management cost. The operation and management cost is positively correlated with the scale of the photovoltaic power station. This value is estimated by extracting a certain proportion of the fixed cost Q. ; : Fixed costs; : The percentage of loan funds to fixed costs. This parameter is an input value set by the user; : The base annual interest rate for the loan, provided by the database.

8. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 6, characterized in that The calculation of the revenue benefits of a photovoltaic power station includes the following steps: S1: Calculate the annual income I of the photovoltaic power station, assuming that the photovoltaic power station is generating electricity at full load, and do not consider the impact of photovoltaic module attenuation on power generation: ； :The installed capacity of photovoltaic power stations is based on the effective area of ​​the power station through the database Match the appropriate installed capacity; : The annual power generation time of the photovoltaic power station at full load, counted in hours, which is determined by the local sunshine conditions and provided by the database; : The on-grid electricity price is determined by local policies and the value is provided by the database; : Other income of the power station, such as government subsidies, which is provided by the database or manually entered; S2: Calculate the annual income In of the photovoltaic power station, assuming that the photovoltaic power station generates electricity at full load every year and outputs electricity stably: ； : Annual income of photovoltaic power station; : Operation and management costs; : Annual loan interest; : Fixed costs; : The life span of photovoltaic modules is determined by the material type and the value is provided by the database.

9. The photovoltaic power generation investment benefit estimation method serving BIPV according to claim 1, characterized in that: The output interaction module mainly outputs the economic assessment report and presents the assessment results to investors using a visual interactive interface. It uses a three-dimensional model to display the analysis results, highlights the photovoltaic layout area in the three-dimensional digital twin model, and can dynamically update the economic assessment results in real time when investors modify the photovoltaic area layout range.

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