KR20220056543A - Apparatus and method for estimating the power generation based on solar data - Google Patents

Abstract

The present invention relates to an apparatus and method for calculating estimated power generation using solar data and analyzing economic feasibility for each transaction condition. According to an embodiment of the present invention, the apparatus for calculating estimated power generation using solar data and analyzing economic feasibility for each transaction condition analyzes and provides economic feasibility such as sales and profits by predicting power generation using solar data such as an amount of solar radiation.

Description

Estimation of expected power generation using solar data and economic analysis device for each transaction condition {APPARATUS AND METHOD FOR ESTIMATING THE POWER GENERATION BASED ON SOLAR DATA}

The present invention relates to a technology for calculating expected power generation using solar data and analyzing economic feasibility for each transaction condition. It is related to the calculation of expected power generation using solar data and an economic analysis device for each transaction condition.

The domestic and overseas solar market is growing on a large scale every year, and by introducing the Korean FIT (Feed in Tariff) system, various actors are encouraged to participate in the solar power generation business, contributing to the vitalization of renewable energy.

In particular, in order to achieve the government's greenhouse gas reduction target, the supply of new and renewable energy is being actively expanded, and domestic solar power facilities account for about 53% of the total new and renewable energy facilities. As the government announced the 「Renewable Energy 3020」 implementation plan as part of the energy ecosystem transition policy in October 2017, it aims to increase the proportion of renewable energy to 20% by 2030 In order to spread the word, according to the 「3rd Basic Energy Plan」, we announced a policy to increase the proportion of renewable energy from 7.6% in 2017 to 30~35% in 2040. Moreover, along with the increase in the proportion of renewable energy generation (7.6% in 2017, 8.6% in 2019, estimated), the cost of solar power generation decreased (successful bid price per kWh: 183 won in 2017, 162 won in 2019). Recently, through the amendment of the Act on Promotion of Development, Use, and Distribution of New Energy and Renewable Energy, provisions for post-management of facilities have been newly established, and domestic institutional/political support to expand the supply of new and renewable energy has been actively supported. is being promoted In addition, recently, as the development activity agenda can be handled in the case of small-scale power generation companies under 3MW, the licensing process for solar power generation projects will be simplified and spread more rapidly than before.

However, in Korea, it is difficult for prospective business planners considering power generation projects to make their own decisions by relying only on some consulting and economic analysis data from specialized companies.

Background art of the present invention is disclosed in Korean Patent Laid-Open No. 10-2019-0065107.

The present invention provides an apparatus for calculating expected power generation using solar data for calculating expected power generation using solar data such as solar radiation and analyzing economic feasibility for each transaction condition.

The present invention provides an apparatus for calculating expected power generation using solar data that provides expected sales and profit information according to solar trading conditions and analyzing economic feasibility for each transaction condition.

According to one aspect of the present invention, there is provided an apparatus for calculating expected power generation using solar data and analyzing economic feasibility for each transaction condition.

The apparatus for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition according to an embodiment of the present invention includes a power generation calculation unit that calculates the expected solar power generation amount based on the solar data received through the user terminal, the solar It may include a sales condition calculation unit that calculates sales conditions according to the optical transaction method, and a profitability prediction unit that determines sales and profits by using the calculated expected solar power generation amount and sales conditions.

According to another aspect of the present invention, there is provided a method of calculating an expected power generation amount using solar data and analyzing economic feasibility for each transaction condition.

The method of calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition according to an embodiment of the present invention includes the steps of calculating the expected solar power generation amount based on the solar data received through the user terminal, solar trading It may include calculating sales conditions according to the method and determining sales and profits by using the calculated expected solar power generation amount and sales conditions.

According to an embodiment of the present invention, the apparatus for calculating the expected power generation using solar data and analyzing economic feasibility for each transaction condition may calculate the expected power generation using solar data such as solar radiation.

According to an embodiment of the present invention, the apparatus for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition may provide expected sales and profit information according to the solar power transaction conditions.

1 to 5 are diagrams for explaining an apparatus for calculating an expected power generation amount using solar data and analyzing economic feasibility for each transaction condition according to an embodiment of the present invention.
6 to 9 are diagrams for explaining a method of calculating an expected power generation amount using solar data and analyzing economic feasibility for each transaction condition according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail through detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention. In describing the present invention, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Also, the expressions "a" and "a", "a" and "a", as used in this specification and claims, should generally be construed to mean "one or more" unless stated otherwise.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. do it with

1 to 5 are diagrams for explaining an apparatus for calculating an expected power generation amount using solar data and analyzing economic feasibility for each transaction condition according to an embodiment of the present invention.

Referring to FIG. 1 , the apparatus 100 for calculating expected power generation using solar data and analyzing economic feasibility for each transaction condition provides the results of analysis of solar power economics in a planned domestic solar power generation project using solar data. . The apparatus 100 for calculating expected power generation using solar data and analyzing economic feasibility for each transaction condition 100 provides solar data and installation basic information such as horizontal solar insolation for each region, power generation calculation conditions, regional facility utilization rate, and economic analysis condition data stored in an external database (Installation address information, installation scale information, and photovoltaic facility information) are used to predict sales and profits according to solar energy transaction conditions. Here, the solar data stored in the external database may be added or modified through the user terminal, and may be transmitted to the apparatus 100 for calculating the expected power generation using the solar data and analyzing the economic feasibility for each transaction condition. In addition, basic installation information (installation address information, installation scale information, and photovoltaic facility information) is input from the user terminal and can be transmitted to the apparatus 100 for calculating the expected power generation using photovoltaic data and analyzing the economic feasibility for each transaction condition.

The apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility by transaction condition 100 includes a power generation amount calculation unit 110 , a cost condition calculation unit 130 , a sales condition calculation unit 150 , and other conditions calculation unit 170 . and a profitability prediction unit 190 .

The generation amount calculation unit 110 calculates an expected generation amount based on the solar data received through the user terminal and basic installation information. Specifically, the generation amount calculating unit 110 analyzes the expected installation address information and the installation scale information received through the user terminal, and compares the analyzed information with a preset generation amount standard to determine the generation amount calculation method, and the generation amount calculation method Calculate the expected power generation according to

Referring to FIG. 2 , the generation amount calculating unit 110 includes a potential amount analyzing unit 111 and a utilization rate analyzing unit 113 .

When the method of calculating the amount of power generation is determined to be the potential amount, the potential amount analysis unit 111 calculates the expected amount of power generation based on the region-specific horizontal insolation data and photovoltaic facility information.

For example, the potential amount analysis unit 111 may calculate the expected amount of power generation based on the horizontal insolation data and photovoltaic facility information for each region collected over the last 10 years or 5 years. The horizontal solar radiation data may be data processed by interpolation based on the horizontal solar radiation observation data of 16 points of the Korea Energy Research Institute, and the solar facility information includes the array area (m2), array efficiency (%), and array loss rate. (%), PCS loss rate (%), annual efficiency decrease (%), inverter efficiency (%), installed capacity (kW), etc. may be included.

The potential amount analysis unit 111 calculates the expected power generation amount using Equation 1 below.

[Equation 1]

Estimated power generation =

는 어레이 효율, H는 수평면 전일사량,

는 어레이 손실율,

는 PCS 손실율,

는 연간효율 저하,

는 인버터 효율, n는 프로젝트 기간이다. where S is the array area,

is the array efficiency, H is the insolation in the horizontal plane,

is the array loss rate,

is the PCS loss rate,

is a decrease in annual efficiency,

is the inverter efficiency, n is the project duration.

The potential amount analysis unit 111 may calculate the expected power generation amount by extracting the horizontal solar radiation amount data of the planned installation area from the horizontal solar radiation amount data of 16 points received from the user terminal and applying it to the equation. In addition, the potential amount analysis unit 111 may calculate the expected amount of power generation by applying the photovoltaic facility information received through the user terminal to the equation.

In general, the array area of the photovoltaic facility information received through the user terminal may be 8 m2, and the array efficiency may be 17%, and the array loss rate indicating loss due to foreign substances on the surface is 10%, and the PCS loss rate is 0.7 to 1%. can The annual efficiency reduction value may be 0.8%, which is suggested in the study on the introduction of new and renewable energy and facility installation standards of Korea Land and Housing Corporation, and the inverter efficiency may be 95%.

The utilization rate analysis unit 113 determines whether the utilization rate can be calculated when the method of calculating the amount of power generation is determined as the utilization rate. The utilization rate analyzer 113 calculates the solar power utilization rate by using Equation 2 below when there is horizontal solar radiation data in the area to be installed in the horizontal solar radiation amount data received from the external database.

[Equation 2]

Utilization rate (%) = (Horizontal solar radiation (kWh/m2/day))/(24(h/day)×1(kW/m2))×0.752×1.21×100

When the utilization rate calculation is impossible, the utilization rate analyzer 113 calculates an expected power generation amount based on regional facility utilization data stored in an external database. Regional facility utilization data may include facility utilization data for the last 7 years (2013-2019) held by the Korea Energy Agency.

Thereafter, the utilization analysis unit 113 calculates the expected amount of solar power generation by using Equation 3 below.

[Equation 3]

Estimated power generation (MWh)=Utilization rate (%)×Installed capacity (kW)×24h×365(day)

That is, the utilization rate analyzer 113 calculates the expected generation amount using the utilization rate calculated through calculation or the utilization rate stored in an external database and the facility capacity information received through the user terminal.

Referring back to FIG. 1 , the cost condition calculation unit 130 calculates the cost used in the solar power generation business. The cost condition calculator 130 calculates the investment cost and the loan cost by using the investment cost and loan information used in the photovoltaic power generation project received through the user terminal input.

The cost condition calculation unit 130 includes an initial investment cost calculation unit 131 and a loan cost calculation unit 133 as shown in FIG. 3 .

The initial investment cost calculation unit 131 calculates the initial investment cost by using information such as own funds, borrowing funds, and loan ratios.

The loan cost calculator 133 calculates the loan cost by using information such as interest rates, deferral period, repayment period, and repayment method.

Referring back to FIG. 1 , the sales condition calculation unit 150 calculates the sales conditions according to the photovoltaic transaction method. Specifically, the sales condition calculation unit 150 determines the transaction method through the input of the user terminal, and selects at least one transaction method among the spot market, the fixed price contract competitive bidding, and the small solar power fixed price contract purchase transaction method, , to calculate the sales conditions of the selected transaction method.

Referring to FIG. 4 , the sales condition calculation unit 150 includes a spot market method calculation unit 151 , a fixed price contract competitive bidding (SMP+1REC) method calculation unit 153, and a fixed price contract competitive bidding (SMP+1REC*) weight) method calculation unit 155 and small solar power fixed price contract purchase (Korean FIT) method calculation unit 157.

When the transaction method selected through the user terminal input is the spot market, the spot market method calculation unit 151 calculates the diagnosis period, SMP price, REC price, and REC weight data, and then calculates the sales conditions.

The fixed price contract competitive bidding (SMP+1REC) method calculation unit 153 is configured to calculate the fixed price contract competitive bidding (SMP+1REC) year, the SMP+1REC bidding price, and electricity when the transaction method selected through the user terminal input is the fixed price contract competitive bidding (SMP+1REC). After calculating the sales unit price and installation type data, the sales conditions are calculated.

Fixed price contract competitive bidding (SMP+1REC* weight) method calculation unit 155, when the transaction method selected through the user terminal input is competitive bidding (SMP+1REC* weight), the year of announcement, SMP+1REC* weighted bidding After calculating the price, electricity sales unit price, and installation type data, the sales conditions are calculated.

When the transaction method selected through the input of the user terminal is fixed price contract purchase (Korean FIT), the small solar power fixed price contract purchase (Korean-style FIT) method calculation unit 157 announces the year of announcement, purchase price, electricity sales unit price and installation After calculating the type data, the sales conditions are calculated.

Here, the spot market method calculation unit 151, the fixed price contract competitive bidding (SMP+1REC) method calculation unit 153, the fixed price contract competitive bidding (SMP+1REC* weight) method calculation unit 155 and the small solar power The data calculated through the fixed price contract purchase (Korean FIT) method calculation unit 157 may use the generation amount calculation condition data received through the user terminal.

Referring to FIG. 5 , the other condition calculation unit 170 includes an operating cost calculation unit 171 that calculates additional investment costs according to repair or replacement according to failure when a problem occurs in products, structures, construction, etc., such as modules and inverters, and the future and a discount rate calculation unit 173 that calculates a discount rate that is a ratio that makes the value equal to the present value.

Here, the discount rate may be calculated as a default value of 4.5% according to the overall guidelines for performing a preliminary feasibility study by the Ministry of Strategy and Finance, and may be directly input through a user terminal.

Referring back to FIG. 1 , the profitability prediction unit 190 predicts the sales according to the transaction method using the expected generation amount calculated from the generation amount calculation unit 110 and the sales condition calculated from the sales condition calculation unit 150 . Specifically, the profitability prediction unit 190 can predict the sales by adding up the electricity sales revenue (SMP unit price * 1,000 * annual expected generation) and REC sales revenue (weight * REC unit price * expected annual generation), and daily sales, monthly It is possible to provide the estimated sales for a certain period by calculating the sales, etc. In addition, the profitability prediction unit 190 provides revenue information by calculating the profit according to the operating period using the operating cost and discount rate calculated from the other condition calculation unit 170 to analyze the point in time when the return on investment is secured. can

Profitability prediction unit 190 may provide information about the period for recovering the funds compared to the investment during the operating period by analyzing the current status of the calculated sales, loan costs, operating costs, and revenues for each generation.

The profitability prediction unit 190 may provide the estimated power generation data according to the number of days per month by using the calculated average data of the total expected power generation during the operation period of the solar power plant and the monthly horizontal solar insolation of the area to be installed.

6 to 9 are diagrams for explaining a method of calculating an expected power generation amount using solar data and analyzing economic feasibility for each transaction condition according to an embodiment of the present invention.

Referring to FIG. 6 , the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition in step S610 analyzes the expected installation address information and the installation scale information received through the user terminal.

In step S620, the apparatus 100 for calculating the expected power generation using the solar data and analyzing the economic feasibility for each transaction condition compares the analyzed information with a preset power generation standard to determine the calculation method of the power generation.

When the calculation method of the generation amount is determined to be the potential amount, the apparatus 100 for calculating the expected generation amount using the solar data in step S630 and analyzing the economic feasibility for each transaction condition analyzes the regional horizontal insolation data and solar facility information.

In step S640, the economical analysis apparatus 100 for calculating the expected power generation using the solar data and for each transaction condition calculates the expected power generation amount based on the analyzed regional insolation data and solar power facility information.

For example, the estimated generation amount calculation using solar data and the economic analysis apparatus 100 for each transaction condition are predicted based on the nationwide horizontal solar radiation data and solar facility information collected for the last 10 or 5 years. generation can be calculated. The horizontal solar radiation data may be data processed by interpolation based on the horizontal solar radiation observation data of 16 points of the Korea Energy Research Institute, and the solar facility information includes the array area (m2), array efficiency (%), and array loss rate. (%), PCS loss rate (%), annual efficiency decrease (%), inverter efficiency (%), installed capacity (kW), etc. may be included.

The apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the expected power generation using Equation 1 below.

[Equation 1]

Estimated power generation =

는 어레이 효율, H는 수평면 전일사량,

는 어레이 손실율,

는 PCS 손실율,

는 연간효율 저하,

는 인버터 효율, n는 프로젝트 기간이다. where S is the array area,

is the array efficiency, H is the insolation in the horizontal plane,

is the array loss rate,

is the PCS loss rate,

is a decrease in annual efficiency,

is the inverter efficiency, n is the project duration.

Estimation of expected power generation using solar data and economic analysis by transaction conditions The apparatus 100 extracts the horizontal solar radiation data of the planned installation area from the horizontal solar radiation data of 16 points received from the user terminal and applies it to the equation. The expected power generation can be calculated. In addition, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition 100 may calculate the expected power generation amount by applying the solar power facility information received through the user terminal to the equation.

In general, the array area of the photovoltaic facility information received through the user terminal may be 8 m2, and the array efficiency may be 17%, and the array loss rate indicating loss due to foreign substances on the surface is 10%, and the PCS loss rate is 0.7 to 1%. can The annual efficiency reduction value may be 0.8%, which is suggested in the Korea Land and Housing Corporation's study on the introduction of new and renewable energy and facility installation standards, and the inverter efficiency may be 95%.

When it is determined that the method of calculating the amount of power generation is the utilization rate, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition in step S640 determines whether the utilization rate can be calculated.

If there is horizontal solar radiation data of the area to be installed in the horizontal solar radiation data received from the external database, the estimated power generation amount using the solar data in step S650 and the economic analysis apparatus 100 for each transaction condition are calculated using the following Equation 2 is used to calculate the solar utilization rate.

[Equation 2]

Utilization rate (%) = (Horizontal solar radiation (kWh/m2/day))/(24(h/day)×1(kW/m2))×0.752×1.21×100

When it is impossible to calculate the utilization rate, the apparatus 100 for calculating the expected power generation using the solar data and analyzing the economic feasibility by transaction conditions in step S660 calculates the expected power generation based on the facility utilization data for each region stored in the external database. Regional facility utilization data may include facility utilization data for the last 7 years (2013-2019) held by the Korea Energy Agency.

In step S670, the apparatus 100 for calculating the expected power generation using the solar data and analyzing the economic feasibility for each transaction condition calculates the expected solar power generation using Equation 3 below.

[Equation 3]

Estimated power generation (MWh)=Utilization rate (%)×Installed capacity (kW)×24h×365(day)

That is, the estimated power generation using solar data and the economic analysis apparatus 100 for each transaction condition uses the usage rate calculated through calculation or the usage rate stored in an external database and the facility capacity information received through the user terminal. to calculate

In step S711, the apparatus 100 for calculating the expected power generation using the solar data and analyzing the economic feasibility for each transaction condition determines the solar power transaction method through the input of the user terminal.

When the spot market transaction method is selected, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition in step S713 inputs a diagnosis period.

In step S715, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the SMP price.

In step S717, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the REC price.

In step S719, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the REC weight data.

When the fixed price contract competitive bidding (SMP+1REC) method is selected, the economical analysis apparatus 100 for each transaction condition and calculation of the expected power generation using solar data in step S721 selects the announcement year.

In step S723, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the SMP+1REC bid price.

In step S725, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the unit price of electricity.

In step S727, the economical analysis apparatus 100 for calculating the expected power generation using solar data and for each transaction condition selects an installation type.

When the small solar power fixed price contract purchase (Korean-style FIT) method is selected, in step S729, the economical analysis apparatus 100 for calculating the expected power generation using solar data and for each transaction condition selects the announcement year.

In step S731, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the purchase price.

In step S733, the apparatus 100 for calculating the expected power generation using the solar data and analyzing the economic feasibility for each transaction condition calculates the unit price of electricity.

In step S735, the economical analysis apparatus 100 for calculating the expected power generation using solar data and for each transaction condition selects an installation type.

In step S737, the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition calculates the sales conditions.

Referring to FIG. 8 , the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition 100 calculates the expected power generation amount calculated from the generation amount calculation unit 110 and the sales conditions calculated from the sales condition calculation unit 150 . is used to predict sales according to the transaction method. Specifically, the electric power sales revenue (SMP unit price * 1,000 * annual expected power generation) and REC sales revenue (weight * REC unit price * annual estimated power generation) Sales can be predicted by summing the values, and daily sales, monthly sales, etc. can be calculated to provide expected sales for a certain period of time.

Referring to FIG. 9 , the apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition 100 calculates the operating cost from the other condition calculation unit 170 and Revenue information can be provided by calculating the profit according to the operating period using the discount rate. Calculation of expected power generation using solar data and economic analysis by transaction conditions The apparatus 100 analyzes the current status of the calculated sales, loan costs, operating costs, and revenues by year of generation to recover funds compared to investment during the operating period information can be provided.

The apparatus 100 for calculating the expected power generation using solar data and analyzing the economic feasibility for each transaction condition 100 uses the average data of the calculated total expected power generation during the operating period of the solar power plant and the monthly horizontal solar insolation of the area to be installed according to the number of days per month. It is possible to provide expected power generation data.

In the above, even though it has been described that all components constituting the embodiment of the present invention are combined or operated as one, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the components may operate by selectively combining one or more.

Although acts are shown in a particular order in the drawings, it should not be understood that the acts must be performed in the specific order or sequential order shown, or that all illustrated acts must be performed to obtain a desired result. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of the various components in the embodiments described above should not be construed as necessarily requiring such separation, and the described program components and systems may generally be integrated together into a single software product or packaged into multiple software products. It should be understood that there is

So far, the present invention has been looked at focusing on the embodiments thereof. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention can be implemented in a modified form without departing from the essential subway characteristics of the present invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present invention.

Claims (18)

In an apparatus for calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions,
a power generation calculation unit for calculating an expected solar power generation amount based on the solar data received through the user terminal;
a sales condition calculation unit that calculates sales conditions according to the photovoltaic transaction method;
An economical analysis apparatus for calculating expected power generation using solar data and for each transaction condition, including a profitability prediction unit that determines sales and profits by using the calculated expected solar power generation amount and sales conditions.
According to claim 1,
The power generation amount calculation unit,
Analyze the expected address and installation scale,
Determine the generation amount calculation method according to the preset generation amount standard based on the analyzed expected address and installation scale results,
If the power generation amount calculation method is determined to be a potential amount, horizontal solar radiation data and photovoltaic facility information are analyzed,
A device for calculating the expected power generation using solar data that calculates the expected power generation using the analysis information and analyzing the economic feasibility for each transaction condition.
3. The method of claim 2,
The power generation amount calculation unit,
When it is determined that the power generation amount calculation method is the utilization rate, it is determined whether the utilization rate can be calculated,
If it is possible to calculate the utilization rate, calculate the solar power utilization rate using the horizontal insolation data,
A device for calculating the expected power generation using solar data that calculates the expected power generation based on the calculated utilization rate and analyzing the economic feasibility for each transaction condition.
4. The method of claim 3,
The power generation amount calculation unit,
When it is impossible to calculate the expected generation amount, the expected generation amount calculation using solar data that calculates the expected generation amount using the facility utilization rate data by region and the economical analysis device for each transaction condition.
According to claim 1,
The sales condition calculation unit,
Calculating the sales conditions according to at least one of a spot market, a competitive bidding for a fixed price contract, and a purchase of a small solar power contract for the solar power transaction method,
If the photovoltaic transaction method is the spot market, enter the diagnosis period, calculate the SMP price, the REC price, and the REC weight;
Estimation of expected power generation using solar data that calculates sales conditions using the calculated SMP price, REC price, and REC weight information and economic analysis device for each transaction condition.
6. The method of claim 5,
The sales condition calculation unit,
If the solar power transaction method is a fixed price contract competitive bidding, select the announcement year, calculate the SMP+1REC bid price, calculate the electricity sales unit price, select the installation type,
A method of calculating expected power generation using solar data that calculates sales conditions using the calculated SMP+1REC bid price, electricity sales unit price, and the selected installation type and economic feasibility analysis for each transaction condition.
6. The method of claim 5,
The sales condition calculation unit,
If the solar power transaction method is a small solar power fixed price contract purchase, select the announcement year, calculate the purchase price, calculate the electricity sales unit price, select the installation type,
Estimation of expected power generation using solar data that calculates sales conditions using the calculated purchase price, electricity sales unit price, and the selected installation type and economic analysis method for each transaction condition.
According to claim 1,
The profitability forecasting unit,
A method of calculating the expected power generation amount using solar data to determine sales using the above potential amount, utilization rate, and calculated value of sales conditions and analyzing economic feasibility by transaction conditions.
9. The method of claim 8,
The profitability forecasting unit,
Estimation of expected power generation using photovoltaic data that judges profits by using the above potential amount, utilization rate, sales condition, cost condition and other calculated values and economic analysis apparatus for each transaction condition.
In the method of calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions,
calculating an expected solar power generation amount based on the solar data received through the user terminal;
Calculating sales conditions according to the photovoltaic transaction method;
A method of calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions, including determining sales and profits by using the calculated expected solar power generation and sales conditions.
11. The method of claim 10,
The step of calculating the expected solar power generation amount based on the solar data is,
analyzing the expected address and the size of the installation;
determining a generation amount calculation method according to a preset generation amount standard based on the analyzed expected address and installation scale result;
analyzing the amount of insolation information and information on solar power generation facilities scheduled to be installed when it is determined that the generation amount calculation method is a potential amount;
A method of calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions, including calculating the expected power generation amount using the analyzed information.
12. The method of claim 11,
determining whether it is possible to calculate an expected power generation amount when the generation amount calculation method is determined as a utilization rate;
calculating a solar power utilization rate by using the solar potential information when the estimated power generation amount can be calculated;
Calculating the expected power generation using solar data and economic analysis method for each transaction condition, further comprising the step of calculating the expected power generation based on the calculated utilization rate.
13. The method of claim 12,
If it is impossible to calculate the expected generation amount, the method of calculating the expected generation amount using the solar data and analyzing the economic feasibility by transaction conditions further comprising the step of calculating the expected generation amount using regional facility utilization data.
12. The method of claim 11,
The step of calculating the sales conditions according to the photovoltaic transaction method,
determining the photovoltaic transaction method as at least one of a spot market, a fixed price contract competitive bidding, and a small solar power fixed price contract purchase;
If the solar trading method is the spot market, inputting a diagnosis period and calculating the SMP price, the REC price, and the REC weight;
A method of calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions, including calculating sales conditions using the calculated SMP price, REC price, and REC weight information.
15. The method of claim 14,
If the solar power transaction method is a fixed price contract competitive bidding, selecting a public notice year, calculating the SMP+1REC bid price, calculating the electricity sales unit price, and selecting an installation type; and
The calculated SMP+1REC bid price, electricity sales unit price, and the selected installation type
Calculation of expected power generation using solar data and economic analysis method for each transaction condition, further comprising the step of calculating sales conditions using
15. The method of claim 14,
When the solar power transaction method is a small solar power fixed price contract purchase, selecting an announcement year, calculating a purchase price, calculating a unit price of electricity, and selecting an installation type; and
Calculation of expected power generation using solar data and economic analysis method for each transaction condition, further comprising the step of calculating sales conditions using the calculated purchase price, electricity sales unit price, and the selected installation type.
12. The method of claim 11,
The step of determining the sales is,
A method of calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions, including the steps of judging sales by using potential amount analysis, utilization rate analysis, and sales condition calculation values.
12. The method of claim 11,
The step of determining the profit is,
A method of calculating expected power generation using solar data and analyzing economic feasibility by transaction conditions, including determining a profit by using the potential amount analysis, utilization rate analysis, sales condition calculation value, cost condition and other conditions.

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