CN114022217A - Distributed photovoltaic power generation investment income calculation method, device, equipment and medium - Google Patents
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Abstract
The embodiment of the invention discloses a distributed photovoltaic power generation investment income calculation method, a device, equipment and a medium. The method comprises the following steps: receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on a target building; when the parameter calculation control is triggered, calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter; when a control for generating a revenue detail report is triggered, a revenue detail report is generated based on the revenue data. According to the technical scheme of the embodiment of the invention, the technical problems of low accuracy and low calculation efficiency of calculating the investment income of the conventional distributed photovoltaic power generation investment income calculation method are solved, and the beneficial data of the distributed photovoltaic power generation device can be calculated and installed more quickly and accurately, so that the technical effect of improving the accuracy and efficiency of calculating and installing the income of the distributed photovoltaic power generation device is achieved.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a distributed photovoltaic power generation investment income calculation method, device, equipment and medium.
Background
With the development of society, people realize the importance of renewable energy, and the renewable energy is widely applied to the field of power generation, in particular to photovoltaic solar power generation. Photovoltaic solar power generation generally includes concentrated photovoltaic power plants and distributed photovoltaic power plants. The distributed photovoltaic power generation station is usually small in scale and does not need long-distance transmission, and meanwhile, main market salespeople for building the distributed photovoltaic power generation station introduces investment profiles of the distributed photovoltaic power generation station to users with roof resources, particularly investment income details of distributed photovoltaic power generation.
The existing distributed photovoltaic power generation investment income calculation method generally needs a user to manually calculate the investment income data of a distributed photovoltaic power generation device installed on a roof according to a formula, so that the problem of low accuracy of a calculation result is easy to occur, and the efficiency of calculating the distributed photovoltaic power generation investment income is low.
Disclosure of Invention
The embodiment of the invention provides a distributed photovoltaic power generation investment income calculation method, a distributed photovoltaic power generation investment income calculation device, equipment and a medium, so that beneficial data of a distributed photovoltaic power generation device can be calculated and installed more quickly and accurately, and the accuracy and efficiency of calculating and installing the income of the distributed photovoltaic power generation device are improved.
In a first aspect, an embodiment of the present invention provides a distributed photovoltaic power generation investment income calculation method, where the method includes:
receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on a target building;
when the parameter calculation control is triggered, calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter;
when a control for generating a revenue detail report is triggered, a revenue detail report is generated based on the revenue data.
In a second aspect, an embodiment of the present invention further provides a distributed photovoltaic power generation investment income calculation apparatus, where the apparatus includes:
the first basic parameter receiving module is used for receiving a first basic parameter input by a user and used for calculating the first basic parameter of the distributed photovoltaic power generation device installed on the target building;
the profit data calculation module is used for calculating profit data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter when the parameter calculation control is triggered;
and the income detail report module is used for generating the income detail report based on the income data when the control used for generating the income detail report is triggered.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
storage means for storing one or more programs;
when executed by the processor, cause the processor to implement a distributed photovoltaic power generation return on investment calculation method as provided by any embodiment of the invention.
In a fourth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the distributed photovoltaic power generation investment profit calculation method according to any of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, the first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on the target building is received. After the first basic parameter input by the user is received, when the parameter calculation control is triggered, revenue data of the distributed photovoltaic power generation device installed in the target building is calculated based on the first basic parameter. After the income data of the photovoltaic power generation device in the target building installation distribution is obtained through calculation, when a control used for generating the income detail report is triggered, the income detail report is generated based on the income data, the technical problems that the accuracy rate of calculating investment income is low and the calculation efficiency is low in the existing distributed photovoltaic power generation investment income calculation method are solved, the beneficial data of the distributed photovoltaic power generation device are calculated and installed more quickly and accurately, and the technical effect of improving the accuracy rate and efficiency of calculating and installing the income of the distributed photovoltaic power generation device is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a schematic flow chart of a distributed photovoltaic power generation investment income calculation method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a distributed photovoltaic power generation investment income calculation method according to a second embodiment of the present invention;
fig. 3 is an interface schematic diagram of a distributed photovoltaic power generation-based investment profit calculation method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a distributed photovoltaic power generation investment income calculation apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flow chart of a distributed photovoltaic power generation investment profit calculation method according to an embodiment of the present invention, which is applicable to a case of calculating profit data of a distributed photovoltaic power generation device installed on a target building, and the method may be executed by the distributed photovoltaic power generation investment profit calculation device, which may be implemented by software and/or hardware, and may be integrated in an electronic device such as a computer or a server.
As shown in fig. 1, the method of the present embodiment includes:
and S110, receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on the target building.
The first basic parameter may be a parameter input by a user for calculating the installation of the distributed photovoltaic power generation device on the target building. The first basic parameters may include, but are not limited to, the building area of the target building, the building longitude and latitude, the building type, and the building rooftop containing resources.
Specifically, the first basic parameter input by the user for calculating the installation of the distributed photovoltaic power generation apparatus on the target building may be the first basic parameter input by the user based on an input device for calculating the installation of the distributed photovoltaic power generation apparatus on the target building, where the input device may be a physical input device (a handwriting device, a keyboard, or the like) or a touch input device (a virtual keyboard, a handwriting area, or the like).
And S120, when the parameter calculation control is triggered, calculating income data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter.
The parameter calculation control is used for calculating revenue data of the distributed photovoltaic power generation device installed on the target building.
Specifically, after receiving the first basic parameter input by the user, when the parameter calculation control is triggered, for example, when the parameter control is clicked (clicked or double-clicked), slid, or dragged, revenue data of installing the distributed photovoltaic power generation apparatus on the target building may be calculated based on the first basic parameter input by the user. And then the income data of installing the distributed photovoltaic power generation device on the target building can be obtained.
And S130, when the control used for generating the income detail report is triggered, generating the income detail report based on the income data.
Wherein the benefit detail report may be a report generated based on the calculated benefit data.
Specifically, after calculating the revenue data of installing the distributed photovoltaic power generation device on the target building, when the control for generating the revenue detail report is triggered, for example, when the control for generating the revenue detail report is clicked or slid, the revenue detail report may be generated based on the revenue data.
For faster review of revenue detail reports, the naming format of the revenue detail reports may be pre-set and storage paths for storing the revenue detail reports may be pre-created before generating the revenue detail reports. It should be noted that the naming format of the benefit detail report may be set according to actual requirements, and the specific naming format is not specifically limited herein. Similarly, the storage path for storing the income detail report may also be set according to actual needs, and the specific path thereof is not specifically limited herein.
According to the technical scheme of the embodiment of the invention, the first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on the target building is received. After the first basic parameter input by the user is received, when the parameter calculation control is triggered, revenue data of the distributed photovoltaic power generation device installed in the target building is calculated based on the first basic parameter. After the income data of the photovoltaic power generation device in the target building installation distribution is obtained through calculation, when a control used for generating the income detail report is triggered, the income detail report is generated based on the income data, the technical problems that the accuracy rate of calculating investment income is low and the calculation efficiency is low in the existing distributed photovoltaic power generation investment income calculation method are solved, the beneficial data of the distributed photovoltaic power generation device are calculated and installed more quickly and accurately, and the technical effect of improving the accuracy rate and efficiency of calculating and installing the income of the distributed photovoltaic power generation device is achieved.
Example two
Fig. 2 is a schematic flow chart of a distributed photovoltaic power generation investment profit calculation method according to a second embodiment of the present invention, and on the basis of the foregoing embodiment, optionally, the first basic parameter includes a building area, a building longitude and latitude, a building type, and a building roof containing resource of the target building; the calculating of revenue data for installing the distributed photovoltaic power generation apparatus at the target building based on the first basic parameter includes: determining an effective installation area for installing the distributed photovoltaic power generation apparatus based on the building area, the building type, and the building rooftop containment resources; determining the installed capacity of the target building based on the longitude and latitude of the building and the effective installation area; and calculating the income data of the distributed photovoltaic power generation device installed in the target building according to the installed capacity.
The technical terms that are the same as or corresponding to the above embodiments are not repeated herein.
As shown in fig. 2, the method of the embodiment may specifically include:
s210, receiving user input for calculating the building area, the building longitude and latitude, the building type and the building roof containing resources of a target building on which the distributed photovoltaic power generation device is installed.
The building types at least comprise the following types: industrial and commercial color steel tile roof types, flat concrete roof types, home tile roof types, greenhouse types, agricultural photovoltaic types, and parking lot types. The number of resources contained on the roof of a building may be zero, one, or more than one. The building roof contains at least one of resources that may include parapet walls, lighting, shades, ventilation, and the like.
Specifically, receiving building area, building longitude and latitude, building type and building roof containing resources of a target building, which are input by a user based on an input device and used for calculating the benefit of installing the distributed photovoltaic power generation device on the target building.
And S220, when the parameter calculation control is triggered, determining the effective installation area for installing the distributed photovoltaic power generation device based on the building area, the building type and the resources contained in the building roof.
Specifically, when the parameter calculation control is triggered, the effective installation area for installing the distributed photovoltaic power generation device may be determined based on the building area, and the roof containing resources of the target building input by the user.
In order to determine the effective installation area for installing the distributed photovoltaic power generation device more quickly, the effective installation area for installing the distributed photovoltaic power generation device can be determined based on the building area of the target building, the building type and the roof containing resources by the following means:
an effective area coefficient table (see table 1) of building types and building rooftops containing resources is established in advance, and an effective area coefficient corresponding to a target building is determined based on the effective area coefficient table established in advance. And determining the effective installation area for installing the distributed photovoltaic power generation device based on the effective area coefficient corresponding to the target building and the building area of the target building.
Specifically, based on a pre-established table of effective target area coefficients, the effective area coefficient corresponding to the target building may be determined. After the effective area coefficient is determined, the effective area coefficient and the building area of the target building can be multiplied, and the result of the multiplication is used as the effective installation area for installing the distributed photovoltaic power generation device.
TABLE 1 table of effective area coefficients
Illustratively, the pre-established table of effective area coefficients (see table 1) is that when the building type of the target building is an industrial and commercial color steel tile roof type and the building roof of the target building contains resources that are unobstructed and have parapet walls, then the effective area coefficient of the target building is 1-0.2-0.6.
And S230, determining the installed capacity of the target building based on the longitude and latitude of the building and the effective installation area.
Specifically, after the effective installation area of the target building is determined, the unit area power of the target building corresponding to the building longitude and latitude may be determined based on a pre-established relationship table (see table 2) between the longitude and latitude and the unit area power of the target building. And further, the product operation can be carried out on the unit area installation power and the effective installation area corresponding to the building longitude and latitude of the target building. Further, the result of the multiplication can be obtained and used as the installed capacity of the target building.
TABLE 2 relationship table of longitude and latitude and unit area power
Illustratively, the target building is 3000 square meters. The building longitude and latitude of the target building is 15 degrees north latitude. According to the pre-established relationship table (see table 2) of longitude and latitude and unit area installation power, the unit area installation power for installing the distributed photovoltaic power generation device on the target building can be determined to be 119.27. Then, the installed capacity of the target building can be determined to be 119.27 × 3000 to 357810W.
And S240, calculating benefit data of installing the distributed photovoltaic power generation device in the target building according to the installed capacity.
Specifically, after the installed capacity of the target building is obtained through calculation, the profit data of installing the distributed photovoltaic power generation devices on the target building can be calculated based on the installed capacity of the target building.
Optionally, the revenue data of installing the distributed photovoltaic power generation device in the target building is calculated through the following steps:
the method comprises the steps of firstly, determining second basic parameters for installing the distributed photovoltaic power generation devices in a target building according to the region of the target building and the detailed product parameters of the distributed photovoltaic power generation devices.
The region to which the target building belongs can be understood as the province and city in which the target building is located. The second base parameter may be a parameter determined based on the affiliated area of the target building and product detail parameters of the distributed photovoltaic power generation apparatus, for example, the second base parameter may include at least one of an average annual illumination time period, a system conversion efficiency, a price per square meter of installation of the distributed photovoltaic power generation apparatus, a consumption rate, and a revenue price of electricity. The income price of electricity may include a price for selling electricity and a price for self-use electricity, among others. It should be noted that the self-consumption electricity can be understood as electricity consumed by the target building.
Specifically, the area to which the target building belongs can be determined according to the building longitude and latitude of the target building. After the area to which the target building belongs is determined, second basic parameters for installing the distributed photovoltaic power generation devices in the target building can be determined based on the area to which the target building belongs and the detailed product parameters of the distributed photovoltaic power generation devices.
In order to more accurately and quickly determine that the installation distribution of the target building is the second basic parameter of the photovoltaic power generation device, the average annual illumination time of the area of the target building and the detailed product parameters of the distributed photovoltaic power generation device can be stored in the database in advance. Then, the average annual illumination duration of the area to which the target building belongs and the system conversion efficiency included in the product detail parameters of the distributed photovoltaic power generation apparatus may be obtained from the database, and the average annual illumination duration and the system conversion efficiency are used as the second basic parameters.
And secondly, calculating the income data of the distributed photovoltaic power generation device installed in the target building based on the second basic parameters and the installed capacity.
Specifically, after the second base parameter and the installed capacity are determined, revenue data of installing the distributed photovoltaic power generation apparatus on the target building can be calculated based on the second base parameter and the installed capacity. Further, the calculation of the profit data of installing the distributed photovoltaic power generation apparatuses at the target buildings based on the second basic parameters and the installed capacities may be such that the total construction cost of installing the distributed photovoltaic power generation apparatuses at the target buildings and the total income amount may be determined according to the second basic parameters and the installed capacities, and the profit data of installing the distributed photovoltaic power generation apparatuses at the target buildings may be calculated based on the total construction cost and the total income amount.
The total construction cost and the total income amount for installing the distributed photovoltaic power generation devices in the target building according to the second basic parameter and the installed capacity can be determined, and after the average annual illumination time length of the area of the target building, the system conversion efficiency contained in the detailed product parameter of the distributed photovoltaic power generation devices, the price for installing the distributed photovoltaic power generation devices in a unit square meter and the income price of electricity are determined, the annual energy production of the target building can be determined based on the average illumination time length, the system conversion efficiency and a preset attenuation coefficient. Based on the annual energy production and the revenue price of electricity, a total revenue amount for installing the distributed photovoltaic power generation apparatus on the target building may be determined. The total construction cost for installing the distributed photovoltaic power generation device on the target building can be determined according to the installed capacity and the price of installing the distributed photovoltaic power generation device in the unit square meter.
The annual energy production of the target building can be determined based on the average illumination duration, the system conversion efficiency and a preset attenuation coefficient according to the following formula:
Ari=Aci-1
Aeo=h×α×Ari×d
where Ac may represent a preset attenuation coefficient, i may represent year, and Ar may represent attenuation residue. Aeo may represent annual energy production, h may represent the average annual illumination duration of the area to which the target building belongs, α may represent system conversion efficiency, and d may represent the number of days involved in the ith year.
Wherein a total revenue amount of installing the distributed photovoltaic power generation apparatus on the target building may be determined based on the annual power generation amount and the revenue price of electricity according to the following formula:
Epa=Aeo×Cr×Pse+Aeo×(1-Cr)×Pes
here, the total income amount may be represented as Epa, the consumption ratio may be represented as Cr, the price for self-power may be represented as Pse, the price for selling power may be represented as Pes, and Aeo may represent annual power generation amount.
In one embodiment, the first basic parameters further include loan proportion, year of loan, and interest rate of loan. Revenue data for installing the distributed photovoltaic power generation apparatus at the target building may be calculated based on the total construction cost and the total revenue amount by:
determining the total loan amount based on the loan proportion, the loan years and the loan annual interest rate; and calculating the income data of the distributed photovoltaic power generation device installed in the target building based on the total construction cost, the total income amount and the total loan amount.
Specifically, based on the loan proportion, the loan year number and the loan year interest rate input by the user, the total loan amount for installing the distributed photovoltaic power generation device on the target building can be determined. After determining the total loan amount, revenue data for installing the distributed photovoltaic power generation device at the target building may be calculated based on the total construction cost, the total income amount, and the total loan amount.
Alternatively, the monthly loan amount may be calculated according to the following formula:
where W may represent the monthly loan amount, P may represent the principal of the loan, R may represent the monthly rate, and N may represent the number of loan terms. The monthly rate is equal to the annual rate/12, the loan term is equal to the loan year × 12, the annual loan amount is equal to the monthly loan amount × 12, and the total loan amount is equal to the annual loan amount × the loan year.
In one embodiment, the first base parameter further comprises an annual maintenance amount, then revenue data for installing the distributed photovoltaic power generation apparatus at the target building may be calculated based on the total construction cost and the total revenue amount by:
determining the total maintenance expenditure amount for installing the distributed photovoltaic power generation device based on the annual maintenance amount; and calculating the income data of the distributed photovoltaic power generation device installed in the target building based on the total maintenance expenditure amount, the total construction cost and the total income amount.
Specifically, based on the annual maintenance amount input by the user, the product of the annual maintenance amount and the installed capacity may be used as the total maintenance expenditure amount for installing the distributed photovoltaic power generation apparatus on the target building. After the total maintenance expenditure amount is determined, revenue data for installing the distributed photovoltaic power generation device in the target building can be calculated based on the total maintenance expenditure amount, the total construction cost and the total income amount.
In an embodiment, the first basic parameter further includes subsidy amount and subsidy year, and then revenue data for installing the distributed photovoltaic power generation apparatus at the target building can be calculated based on the total construction cost and the total revenue amount by:
determining the total subsidy amount based on the subsidy amount and the subsidy years; and calculating the income data of the distributed photovoltaic power generation device installed in the target building based on the subsidy total amount, the construction total amount and the total income amount.
The subsidy amount can be understood as annual subsidy amount.
Specifically, based on the subsidy amount and the number of years of subsidy for input, the product of the subsidy amount and the number of years of subsidy may be used as the total amount of subsidy for installing the distributed photovoltaic power generation apparatus on the target building. After the subsidy total amount is obtained through calculation, the income data of the distributed photovoltaic power generation device installed in the target building can be calculated based on the subsidy total amount, the construction total cost and the total income amount. And revenue data may be obtained.
It should be noted that the subsidy limit may include at least one of a national subsidy limit, a provincial subsidy limit, and a city government subsidy limit at each level. The total subsidy amount may be calculated according to the following formula:
Subsidize=Aeo×Co+Aeo×Pr+Aeo×Ci
the Subsidize can represent the total subsidy amount, Aeo can represent annual energy production, Co can represent the national subsidy limit, Pr can represent the province subsidy limit, and Ci can represent the subsidy limits of all levels of governments in the city.
On the basis, if the amount of money of the annual rental field of the target building is greater than 0, the annual profitability of installation of the distributed photovoltaic power generation device on the target building is calculated based on the total construction cost, the total income amount, the amount of money of the annual rental field, the annual maintenance amount and the total loan amount.
Optionally, the annual profitability of installing the distributed photovoltaic power generation device on the target building can be calculated according to the following formula:
where the annual income rate may be represented as epsilon, the total income amount may be represented as Ae, the annual rental lot amount may be represented as Oe, the annual maintenance amount may be represented as We, the total loan amount may be represented as Yi, and the total construction cost may be represented as Co.
And S250, when the control used for generating the income detail report is triggered, generating the income detail report based on the income data.
According to the technical scheme of the embodiment of the invention, the first basic parameters comprise the building area, the building longitude and latitude, the building type and the building roof containing resources of the target building. Determining an effective installation area for installing the distributed photovoltaic power generation device based on the building area, the building type and the building roof containing resources; determining the installed capacity of the target building based on the longitude and latitude of the building and the effective installation area; after the installed capacity of the target building is determined, the income data of installing the distributed photovoltaic power generation devices in the target building can be calculated according to the installed capacity, the technical problems that the accuracy rate of calculating investment income is low and the calculation efficiency is low in the existing distributed photovoltaic power generation investment income calculation method are solved, the beneficial data of installing the distributed photovoltaic power generation devices can be calculated more quickly and accurately, and therefore the technical effect of improving the accuracy rate and efficiency of calculating and installing the income of the distributed photovoltaic power generation devices is achieved.
EXAMPLE III
The third embodiment of the present invention provides an optional embodiment of a distributed photovoltaic power generation investment income calculation method, and specific implementation manners thereof can be seen in the following embodiments. The technical terms that are the same as or corresponding to the above embodiments are not repeated herein.
Referring to fig. 3, the method of the present embodiment specifically includes the following steps:
1. receiving user input of building area, loan proportion, loan year, lease unit price, electricity price, initial installation subsidy, city electricity subsidy, city subsidy year, cost, consumption ratio, provincial electricity subsidy, national electricity subsidy and maintenance fee unit price for calculating the profit of installing the distributed photovoltaic power generation device on the target building.
The first basic parameters may include a building area, a loan proportion, a loan year, a lease unit price, a power consumption price, a first-installment subsidy, a city electricity subsidy, a cost, a consumption ratio, a provincial electricity subsidy, a national electricity subsidy, and a maintenance fee unit price.
2. When the updating data control is triggered, the income data of installing the distributed photovoltaic power generation device in the target building is calculated based on the building area, the loan proportion, the loan year limit, the unit price of renting a field, the electricity price of electricity consumption, the initial installation subsidy, the city electricity subsidy, the city subsidy year limit, the manufacturing cost, the consumption ratio, the provincial electricity subsidy, the national electricity subsidy year limit and the unit price of maintenance cost.
Wherein, updating the data control may be understood as a parameter calculation control.
3. When the generate report control is triggered, a revenue detail report is generated based on the revenue data.
Wherein a generate report control may be understood as a control for generating a revenue detail report.
According to the technical scheme of the embodiment of the invention, the technical problems of low accuracy and low calculation efficiency of calculating the investment income of the conventional distributed photovoltaic power generation investment income calculation method are solved, and the beneficial data of the distributed photovoltaic power generation device can be calculated and installed more quickly and accurately, so that the technical effect of improving the accuracy and efficiency of calculating and installing the income of the distributed photovoltaic power generation device is achieved.
Example four
Fig. 4 is a schematic structural diagram of a distributed photovoltaic power generation investment profit computing apparatus according to a fourth embodiment of the present invention, and the present invention provides a distributed photovoltaic power generation investment profit computing apparatus, including: a first basic parameter receiving module 410, a revenue data calculating module 420, and a revenue detail reporting module 430.
The first basic parameter receiving module 410 is used for receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on a target building;
a profit data calculation module 420, configured to calculate, when the parameter calculation control is triggered, profit data for installing the distributed photovoltaic power generation apparatus in the target building based on the first basic parameter;
a revenue detail report module 430 for generating a revenue detail report based on the revenue data when a control for generating a revenue detail report is triggered.
According to the technical scheme of the embodiment of the invention, the first basic parameter input by a user and used for calculating the first basic parameter for installing the distributed photovoltaic power generation device on the target building is received through the first basic parameter receiving module. After receiving a first basic parameter input by a user, calculating the income data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter through an income data calculation module when the parameter calculation control is triggered. After the income data of the photovoltaic power generation device in the target building installation distribution is obtained through calculation, the income detail report module generates the income detail report based on the income data when a control used for generating the income detail report is triggered, so that the technical problems that the accuracy rate of calculating the investment income is low and the calculation efficiency is low in the existing distributed photovoltaic power generation investment income calculation method are solved, the beneficial data of the distributed photovoltaic power generation device can be calculated and installed more quickly and accurately, and the technical effect of improving the accuracy rate and efficiency of calculating and installing the income of the distributed photovoltaic power generation device is achieved.
Optionally, the first basic parameter includes a building area, a building longitude and latitude, a building type and a building roof containing resource of the target building; a profit data calculation module 420 for determining an effective installation area for installing the distributed photovoltaic power generation apparatus based on the building area, the building type, and the building rooftop containing resources; determining the installed capacity of the target building based on the longitude and latitude of the building and the effective installation area; and calculating the income data of the distributed photovoltaic power generation device installed in the target building according to the installed capacity.
Optionally, the profit data calculation module 420 is configured to determine, according to the area to which the target building belongs and the product detailed parameters of the distributed photovoltaic power generation apparatus, second basic parameters for installing the distributed photovoltaic power generation apparatus in the target building; and calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the second basic parameters and the installed capacity.
Optionally, the profit data calculating module 420 is configured to determine a total construction cost and a total income amount for installing the distributed photovoltaic power generation apparatus in the target building according to the second basic parameter and the installed capacity; and calculating income data of the installation of the distributed photovoltaic power generation device in the target building based on the total construction cost and the total income amount.
Optionally, the first basic parameters further include a loan proportion, a loan year and a loan interest rate; a profit data calculation module 420 for determining a total loan amount based on the loan proportion, the loan year count, and the loan year interest rate; and calculating income data of the installation of the distributed photovoltaic power generation device in the target building based on the total construction cost, the total income amount and the total loan amount.
Optionally, the first basic parameter further includes an annual maintenance amount, and the revenue data calculation module 420 is configured to determine a total maintenance expenditure amount for installing the distributed photovoltaic power generation apparatus based on the annual maintenance amount; and calculating income data of the distributed photovoltaic power generation device installed in the target building based on the total maintenance expenditure amount, the total construction cost and the total income amount.
Optionally, the first basic parameter further includes a subsidy limit and a number of subsidy years, and the revenue data calculation module 420 is configured to determine a total amount of subsidies based on the subsidy limit and the number of subsidy years; and calculating income data of the distributed photovoltaic power generation device installed in the target building based on the subsidy total amount, the construction total amount and the total income amount.
Optionally, the profit data calculating module 420 is configured to obtain, from a database, an average annual illumination duration of the area to which the target building belongs and system conversion efficiency included in product detailed parameters of the distributed photovoltaic power generation apparatus, and use the average annual illumination duration and the system conversion efficiency as second basic parameters.
The device can execute the distributed photovoltaic power generation investment income calculation method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the distributed photovoltaic power generation investment income calculation method.
It should be noted that, the units and modules included in the distributed photovoltaic power generation investment profit computing apparatus are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary electronic device 12 suitable for use in implementing any of the embodiments of the present invention. The electronic device 12 shown in fig. 5 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention. The device 12 is typically an electronic device that undertakes the processing of configuration information.
As shown in FIG. 5, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 that couples the various components (including the memory 28 and the processing unit 16).
The processing unit 16 executes various functional applications and data processing by running the program stored in the memory 28, for example, implementing the distributed photovoltaic power generation investment profit calculation method provided by the above embodiment of the present invention, the method including:
receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on a target building; when the parameter calculation control is triggered, calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter; when a control for generating a revenue detail report is triggered, a revenue detail report is generated based on the revenue data.
Of course, those skilled in the art can understand that the processor may also implement the technical solution of the distributed photovoltaic power generation investment profit calculation method provided in any embodiment of the present invention.
EXAMPLE six
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor, and is characterized in that, when the program is executed by the processor, for example, the distributed photovoltaic power generation investment profit calculation method provided by the foregoing embodiment of the present invention includes:
receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on a target building; when the parameter calculation control is triggered, calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter; when a control for generating a revenue detail report is triggered, a revenue detail report is generated based on the revenue data.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A distributed photovoltaic power generation investment income calculation method is characterized by comprising the following steps:
receiving a first basic parameter input by a user and used for calculating the installation of the distributed photovoltaic power generation device on a target building;
when the parameter calculation control is triggered, calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter;
when a control for generating a revenue detail report is triggered, a revenue detail report is generated based on the revenue data.
2. The method of claim 1, wherein the first basic parameters include a building area, a building longitude and latitude, a building type, and a building roof containing resources of the target building;
the calculating of revenue data for installing the distributed photovoltaic power generation apparatus at the target building based on the first basic parameter includes:
determining an effective installation area for installing the distributed photovoltaic power generation apparatus based on the building area, the building type, and the building rooftop containment resources;
determining the installed capacity of the target building based on the longitude and latitude of the building and the effective installation area;
and calculating the income data of the distributed photovoltaic power generation device installed in the target building according to the installed capacity.
3. The method of claim 2, wherein said calculating revenue data for installing said distributed photovoltaic power generation facility at said target building from said installed capacity comprises:
determining a second basic parameter for installing the distributed photovoltaic power generation device in the target building according to the region of the target building and the detailed product parameters of the distributed photovoltaic power generation device;
and calculating revenue data of the distributed photovoltaic power generation device installed in the target building based on the second basic parameters and the installed capacity.
4. The method of claim 3, wherein calculating revenue data for installing the distributed photovoltaic power generation apparatus at the target building based on the second base parameter and the installed capacity comprises:
determining the total construction cost and the total income amount of the distributed photovoltaic power generation device installed in the target building according to the second basic parameters and the installed capacity;
and calculating income data of the installation of the distributed photovoltaic power generation device in the target building based on the total construction cost and the total income amount.
5. The method of claim 4, wherein the first basic parameters further include loan proportion, year of loan, and interest rate of loan;
calculating revenue data for installing the distributed photovoltaic power generation apparatus in the target building based on the total construction cost and the total income amount, including:
determining a total loan amount based on the loan proportion, the loan year and the loan annual interest rate;
and calculating income data of the installation of the distributed photovoltaic power generation device in the target building based on the total construction cost, the total income amount and the total loan amount.
6. The method of claim 4, wherein the first base parameter further comprises an annual maintenance amount, and wherein calculating revenue data for installing the distributed photovoltaic power generation apparatus at the target building based on the total construction cost and the total revenue amount comprises:
determining a total maintenance expenditure amount for installing the distributed photovoltaic power generation device based on the annual maintenance amount;
and calculating income data of the distributed photovoltaic power generation device installed in the target building based on the total maintenance expenditure amount, the total construction cost and the total income amount.
7. The method of claim 4, the first basic parameters further comprising subsidy limits and subsidy years, the calculating revenue data for installing the distributed photovoltaic power generation apparatus at the target building based on the total construction cost and the total revenue amount comprising:
determining the total subsidy amount based on the subsidy limit and the subsidy years;
and calculating income data of the distributed photovoltaic power generation device installed in the target building based on the subsidy total amount, the construction total amount and the total income amount.
8. The method of claim 3, wherein the determining second basic parameters for installing the distributed photovoltaic power generation device at the target building according to the area to which the target building belongs and product detail parameters of the distributed photovoltaic power generation device comprises:
acquiring the annual average illumination duration of the area of the target building and the system conversion efficiency contained in the detailed product parameters of the distributed photovoltaic power generation device from a database, and taking the annual average illumination duration and the system conversion efficiency as second basic parameters.
9. The utility model provides a distributed photovoltaic power generation investment income computational apparatus which characterized in that includes:
the first basic parameter receiving module is used for receiving a first basic parameter input by a user and used for calculating the first basic parameter of the distributed photovoltaic power generation device installed on the target building;
the profit data calculation module is used for calculating profit data of the distributed photovoltaic power generation device installed in the target building based on the first basic parameter when the parameter calculation control is triggered;
and the income detail report module is used for generating the income detail report based on the income data when the control used for generating the income detail report is triggered.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the distributed photovoltaic power generation investment profit calculation method according to any one of claims 1-8.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104200289A (en) * | 2014-09-25 | 2014-12-10 | 国网上海市电力公司 | Distributed photovoltaic installed capacity prediction method based on investment return rate |
CN106971263A (en) * | 2017-03-16 | 2017-07-21 | 国网山东省电力公司经济技术研究院 | Consider the photovoltaic plant electricity price Cost Analysis Method of the time value of money |
CN107169794A (en) * | 2017-05-09 | 2017-09-15 | 中国农业大学 | A kind of meter and the photovoltaic plant cost Prices Calculation of component power decay |
KR20190079973A (en) * | 2017-12-28 | 2019-07-08 | 한국남동발전 주식회사 | Photovoltaic generation forecasting system and method for forecasting power generation amount and profitability using thereof |
KR20200013926A (en) * | 2018-07-31 | 2020-02-10 | 한국남동발전 주식회사 | Profitability forecasting system and method of photovoltaic generation |
KR20200080607A (en) * | 2018-12-27 | 2020-07-07 | 연세대학교 산학협력단 | Method and system for classifying building rooftop solar rating considering technical and economic suitability criteria |
KR20210058372A (en) * | 2019-11-14 | 2021-05-24 | 한국전력공사 | Apparatus and method for evaluating economics of electric power distribution system according to sunlight power station |
CN113224756A (en) * | 2021-05-11 | 2021-08-06 | 湖南中大设计院有限公司 | Method applied to photovoltaic building integrated optimal installed capacity measurement and calculation |
-
2021
- 2021-11-16 CN CN202111356624.3A patent/CN114022217A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104200289A (en) * | 2014-09-25 | 2014-12-10 | 国网上海市电力公司 | Distributed photovoltaic installed capacity prediction method based on investment return rate |
CN106971263A (en) * | 2017-03-16 | 2017-07-21 | 国网山东省电力公司经济技术研究院 | Consider the photovoltaic plant electricity price Cost Analysis Method of the time value of money |
CN107169794A (en) * | 2017-05-09 | 2017-09-15 | 中国农业大学 | A kind of meter and the photovoltaic plant cost Prices Calculation of component power decay |
KR20190079973A (en) * | 2017-12-28 | 2019-07-08 | 한국남동발전 주식회사 | Photovoltaic generation forecasting system and method for forecasting power generation amount and profitability using thereof |
KR20200013926A (en) * | 2018-07-31 | 2020-02-10 | 한국남동발전 주식회사 | Profitability forecasting system and method of photovoltaic generation |
KR20200080607A (en) * | 2018-12-27 | 2020-07-07 | 연세대학교 산학협력단 | Method and system for classifying building rooftop solar rating considering technical and economic suitability criteria |
KR20210058372A (en) * | 2019-11-14 | 2021-05-24 | 한국전력공사 | Apparatus and method for evaluating economics of electric power distribution system according to sunlight power station |
CN113224756A (en) * | 2021-05-11 | 2021-08-06 | 湖南中大设计院有限公司 | Method applied to photovoltaic building integrated optimal installed capacity measurement and calculation |
Non-Patent Citations (2)
Title |
---|
史珺: "光伏发电成本的数学模型分析", 太阳能, no. 02, 28 January 2012 (2012-01-28), pages 53 - 58 * |
邓忻依等: "分布式光伏储能系统综合效益评估与激励机制", 《发电技术》, vol. 39, no. 01, 28 February 2018 (2018-02-28), pages 30 - 36 * |
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