KR20220044459A - Method for economic evaluation of solar power generation based on artificial neural network - Google Patents

Abstract

A method for evaluating the economic evaluation of solar power generation by using an artificial neural network trained by a computing device according to an embodiment of the present invention may comprise the steps of: obtaining the input of a user for a solar power generation condition including an existing electricity rate, wherein the existing electricity rate is a rate determined based on a history of electricity rates paid by the user prior to the installation of a solar power generation facility; calculating an economic evaluation result including an investment cost for solar power generation and an amount of power per unit period with reference to the solar power generation condition; and displaying the economic evaluation result.

Description

Method for economic evaluation of solar power generation based on artificial neural network

The present invention relates to a method for evaluating the economic feasibility of solar power generation using an artificial neural network that has learned the correlation between at least one weather element and the amount of power generation.

Solar power means converting solar energy into the form of electrical energy, and there are generally two methods.

The first is a method used in solar cells to convert sunlight into electrical energy, and the second is a method that converts solar heat into electrical energy, which collects heat to make water vapor and turns a turbine to generate electricity.

On the other hand, it is necessary to determine the appropriateness of solar power generation according to various factors before installation of the power generation facility because it is difficult to predict the economic feasibility simply because the installation of such a power generation facility for solar energy generation consumes considerable costs and resources.

An object of the present invention is to provide an economic evaluation item according to the photovoltaic power generation condition input by the user.

In addition, the present invention is intended to enable a user to easily check the economic feasibility of solar power generation.

The method for evaluating the economic feasibility of photovoltaic power generation according to an embodiment of the present invention obtains a user's input for photovoltaic power generation conditions including at least one of a photovoltaic installation type, photovoltaic power generation capacity, an installation location, and an existing electricity rate to do; Calculating an economic evaluation result including investment cost for solar power generation, power generation per unit period, and profit per unit period with reference to the photovoltaic power generation conditions; and displaying the economic evaluation result.

The obtaining of the user's input may include: displaying an image corresponding to the installation location; displaying one or more first candidate locations where photovoltaic facilities can be installed on the image; and adding information on a candidate location selected by a user from among the one or more first candidate locations to the photovoltaic power generation condition.

The step of displaying the one or more first candidate positions refers to the solar installation type and the solar power generation capacity to select one or more second candidate positions where the installation of the solar power generation facility is possible in the installation place step; calculating a power generation index corresponding to the amount of power generated at each of the at least one second candidate location with reference to the solar radiation condition for each of the one or more second candidate locations; and determining, among the one or more second candidate positions, a candidate position satisfying a predetermined condition as the one or more first candidate positions with reference to the development index.

When the solar power generation facility is a first installation type installed on land, the step of displaying the image displays the image of the land, and the step of displaying the first candidate location is on the displayed land image, The one or more first candidate positions may be displayed in correspondence with the development index.

When the photovoltaic power generation facility is a second installation type installed on a building, the step of displaying the image displays an image showing the outer structure of the building, and the step of displaying the first candidate location is the displayed building On the outer image of , the one or more first candidate positions may be displayed in correspondence with the development index.

Displaying the economic evaluation result may include: displaying an image corresponding to the installation location; displaying an image of a photovoltaic facility corresponding to the photovoltaic power generation condition on the displayed image; and displaying the investment cost, the amount of power generation per unit period, and the profit per unit period.

Calculating the power generation index may include: extracting a known location under solar conditions as one or more locations around the installation location; and calculating a solar radiation condition for each of the one or more second candidate locations by referring to the solar radiation condition at the extracted location.

The photovoltaic power generation condition may be a condition for determining the power generation capacity of the photovoltaic power generation facility so that the power generation amount is equal to or greater than an amount of power corresponding to a difference between the existing electricity rate and a predetermined reference rate.

According to an embodiment of the present invention, a method for a computing device to evaluate the economic feasibility of photovoltaic power generation using a learned artificial neural network includes obtaining a user's input for photovoltaic power generation conditions including an existing electricity rate, the existing electricity rate is a rate determined based on a history of electricity rates paid by the user prior to installation of the solar power generation facility; calculating an economic evaluation result including an investment cost for solar power generation and an amount of power per unit period with reference to the photovoltaic power generation conditions; and displaying the economic evaluation result.

The obtaining of the user's input may include calculating at least one photovoltaic power generation condition that is not input by the user based on the photovoltaic power generation condition input by the user.

Calculating the at least one photovoltaic power generation condition includes: determining the power generation capacity of the photovoltaic facility to correspond to a difference between the existing electricity rate and a predetermined reference rate; Among a plurality of standard rates according to the progressive billing system, it may be a standard rate that is less than or equal to the existing electricity rate and closest to the existing electricity rate.

Calculating the economic evaluation result may include calculating a weather element corresponding to a first unit period; and predicting the amount of power generation in the first unit period from the weather element for the first unit period using the learned artificial neural network. In this case, the learned artificial neural network may be a neural network that has learned the correlation between at least one weather element and the amount of power generation.

According to the present invention, it is possible to provide an economic evaluation item according to the photovoltaic power generation condition input by the user, thereby allowing the user to easily check the economic efficiency of the photovoltaic power generation.

In addition, it is possible to present a bird's eye view when a solar power generation facility is installed at the installation location entered by the user, so that various aspects can be reviewed along with economic review.

In addition, it is intended to make it easy to check the weather factors and the amount of power generated at various times of power generation.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.
2 is a block diagram for explaining the internal configuration of the user terminal 100 and the server 200 according to an embodiment of the present invention.
FIG. 3 is an example of a screen 400 for inputting a photovoltaic power generation condition displayed on the user terminal 100 .
4 is an example of an economical evaluation result display screen 500 displayed on the user terminal 100 .
5 is a flowchart illustrating a method for evaluating the economic feasibility of solar power generation performed by the user terminal 100 according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] Reference is made to the accompanying drawings, which show by way of illustration specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein may be implemented with changes from one embodiment to another without departing from the spirit and scope of the present invention. In addition, it should be understood that the location or arrangement of individual components within each embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the following detailed description is not to be taken in a limiting sense, and the scope of the present invention should be taken as encompassing the scope of the claims and all equivalents thereto. In the drawings, like reference numerals refer to the same or similar elements throughout the various aspects.

Hereinafter, in order to enable a person of ordinary skill in the art to easily practice the present invention, various embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.

The network environment of FIG. 1 shows an example including a plurality of user terminals 101 , 102 , 103 , 104 , a server 200 , and a network 300 . 1 is an example for explaining the invention, and the number of user terminals or the number of servers is not limited as in FIG. 1 .

The plurality of user terminals 101 , 102 , 103 , and 104 may be a fixed terminal implemented as a computer device or a mobile terminal. Examples of the plurality of user terminals 101, 102, 103, and 104 include a smartphone, a mobile phone, a navigation system, a computer, a notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), and a tablet PC. etc.

The plurality of user terminals 101, 102, 103, and 104 are connected to each other and/or to the server ( 200) can be communicated with.

Meanwhile, a communication method of the plurality of user terminals 101 , 102 , 103 , 104 is not limited, and a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network) that the network 300 may include is utilized. In addition to the communication method, short-distance wireless communication between devices may also be included.

For example, the network 300 may be a Personal Area Network (PAN), a Local Area Network (LAN), a Campus Area Network (CAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), or a Broad Band Network (BBN). , the Internet, and the like.

In addition, the network 300 may include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, etc. not limited

Hereinafter, for convenience of description, the plurality of user terminals 101 , 102 , 103 , and 104 will be named as the user terminal 100 .

In one embodiment of the present invention, the user terminal 100 may be installed with software (Software) for the economic evaluation method of solar power generation. Accordingly, the user terminal 100 may perform a method of evaluating the economic feasibility of solar power generation. A detailed description thereof will be provided later.

The server 200 may be implemented as a computer device or a plurality of computer devices that provides commands, codes, files, contents, services, etc. to the user terminal 100 through the network 300 .

In an embodiment of the present invention, the server 200 may be a device that provides various data necessary for evaluating the economic feasibility of solar power generation to the user terminal 100 accessed through the network 300 .

For example, the server 200 may provide map data (or a location image) corresponding to the installation location input by the user to the user terminal 100 through the network 300 , or solar conditions for the installation location input by the user You can also provide data. However, this is an example, and the spirit of the present invention is not limited thereto.

2 is a block diagram for explaining the internal configuration of the user terminal 100 and the server 200 according to an embodiment of the present invention.

The user terminal 100 and the server 200 may include memories 111 and 211 , processors 112 and 212 , communication modules 113 and 213 , and input/output interfaces 114 and 214 .

The memories 111 and 211 are computer-readable recording media, and may include random access memory (RAM), read only memory (ROM), and permanent mass storage devices such as disk drives. . In addition, an operating system and at least one program code (eg, a code for evaluating the economic feasibility of solar power installed and driven in the user terminal 100, etc.) may be stored in the memories 111 and 211 .

These software components may be loaded from a computer-readable recording medium separate from the memories 111 and 211 using a drive mechanism. The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card.

In another embodiment, the software components may be loaded into the memories 111 and 211 through the communication modules 113 and 213 rather than the computer-readable recording medium. For example, the at least one program is based on a program installed by the files provided through the network 300 by a file distribution system (not shown, such as an application distribution server) that distributes the installation file of the application. It may be loaded into the memories 111 and 211 .

The processors 112 and 212 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. The instructions may be provided to the processors 112 and 212 by the memories 111 and 211 or the communication modules 113 and 213 . For example, the processors 112 and 212 may be configured to execute received instructions according to program codes stored in a recording device such as the memories 111 and 211 .

The communication modules 113 and 213 may provide a function for the user terminal 100 and the server 200 to communicate with each other through the network 300 , and may include another user terminal (not shown) or another server (not shown). It can provide a function to communicate with For example, a request generated by the processor 112 of the user terminal 100 according to a program code stored in a recording device such as the memory 111 is transmitted to the server 200 through the network 300 under the control of the communication module 113 . ) can be transferred. Conversely, a control signal, command, content, file, etc. provided under the control of the server 200 processor 212 passes through the communication module 213 and the network 300 to the communication module 113 of the user terminal 100 . may be received by the user terminal 100 through

The input/output interfaces 114 and 214 may be means for interfacing with the input/output device 115 . In this case, the input device may include, for example, a device such as a keyboard or a mouse, and the output device may include a device such as a display for displaying an economic evaluation result of solar power generation.

As another example, the input/output interfaces 114 and 214 may be means for an interface with a device in which functions for input and output are integrated into one, such as a touch screen.

In addition, in other embodiments, the user terminal 100 and the server 200 may include more components than those of FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the user terminal 100 is implemented to include at least a part of the above-described input/output device 115 or other components such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. may include more.

Hereinafter, an example in which a method of evaluating the economic feasibility of solar power generation is performed by the processor 112 of the user terminal 100 will be described.

The processor 112 according to an embodiment of the present invention may obtain a user's input for a photovoltaic power generation condition by using the input/output device 115 . In this case, the 'solar power generation condition' may include various items. For example, the photovoltaic power generation condition may include photovoltaic installation type, photovoltaic power generation capacity, installation location, existing electricity rate, photovoltaic facility characteristics, photovoltaic power generation type, and the like.

In one embodiment, 'solar power installation type' refers to the first installation type in which photovoltaic power generation facilities are installed on land (lease, land, former, farm, etc.) ) may be any one of the second installation types to be installed on. However, this type of development is exemplary and the spirit of the present invention is not limited thereto.

In an embodiment, the 'solar power generation capacity' may mean an amount of power that a user desires to obtain from a solar power generation facility during a unit period. In another embodiment, such a solar power generation capacity may be input and obtained in the form of a target revenue (ie, amount).

In an embodiment, the 'installation location' may mean a geographic location where the solar power generation facility is installed. The processor 112 according to an embodiment of the present invention may receive an installation location input in the form of an address such as, for example, '992 Dongan-gu, Anyang-si, Gyeonggi-do'. In another embodiment, the processor 112 may receive an installation location input in the form of an input for setting a division of the user on the displayed map. However, the above two methods are exemplary, and a method for specifying a location may be used without limitation.

In an embodiment, the 'existing electricity rate' may mean an average of electricity rates or electricity rates paid by users before installation of the solar power generation facility. This 'existing electricity rate' may be used to determine the solar power generation capacity in an embodiment. A detailed description thereof will be provided later.

In an embodiment, 'photovoltaic facility characteristics' may refer to characteristics of the photovoltaic facility itself. For example, the photovoltaic facility characteristic may include energy conversion efficiency of the photovoltaic power plant. The user can improve the economic efficiency of photovoltaic power generation by appropriately selecting it in consideration of the unit price and characteristics of each photovoltaic power generation facility.

In an embodiment, the 'solar power generation type' may be any one of a home photovoltaic power generation facility and a photovoltaic facility for a power generation company. However, this type of development is exemplary and the spirit of the present invention is not limited thereto.

3 is an example of a screen 400 for inputting a photovoltaic power generation condition displayed on the user terminal 100 .

The processor 112 according to an embodiment of the present invention may obtain a user input for each field 410 , 420 , 430 , 440 of the screen 400 as a photovoltaic power generation condition. For example, the processor 112 may input the user's address into the address field 410 , the user's type selection input for the installation type field 420 , the user's generation capacity input for the generation capacity field 430 , and the existing electricity rate field A rate input for 440 may be obtained. On the other hand, the processor 112 may receive the user's input to the power generation capacity field 430 in the form 431 of the power generation capacity, or may receive the input in the form 432 of the target revenue. However, this is an example, and the spirit of the present invention is not limited thereto.

In this case, the processor 112 according to an embodiment of the present invention may display an image corresponding to the installation location input by the user in the map display area 460 in response to the user's input to the installation address field 410 . there is. Meanwhile, the image corresponding to the installation location may be received from the above-described server 200 .

The processor 112 according to an embodiment of the present invention may display one or more first candidate positions in which photovoltaic facilities can be installed on the image displayed on the map display area 460 . In this case, the processor 112 may display the first candidate location in an appropriate form (size and location, etc.) on the image with reference to the remaining photovoltaic power generation conditions (solar power generation capacity, photovoltaic installation type, etc.). For example, as shown in FIG. 3 , the processor 112 may display three first candidate locations (Location 1, Location 2, and Location 3) on an image corresponding to an installation location.

The processor 112 according to an embodiment of the present invention may add information on the first candidate location selected by the user among the displayed one or more first candidate locations (Location 1, Location 2, and Location 3) to the photovoltaic power generation condition. . For example, when the user selects the first candidate location (Location 1) from among the three displayed first candidate locations (Location 1, Location 2, and Location 3), the processor 112 sees the first candidate location (Location 1). It can be included in the photovoltaic power generation condition as a specific installation location.

In an optional embodiment, the processor 112 may obtain a user's correction input for any one of the one or more first candidate positions. In this case, the correction input may be an input for moving the overall position of the first candidate position or an input for correcting the shape of a boundary line of a specific part. The processor 112 may obtain the user's input within a range that satisfies the remaining photovoltaic power generation conditions (solar power generation capacity, photovoltaic installation type, etc.) and include it in the photovoltaic power generation conditions.

The processor 112 according to an embodiment of the present invention may select one or more second candidate locations where a photovoltaic facility can be installed with reference to a photovoltaic power generation condition input by a user. For example, the processor 112 may select one or more second candidate locations where a photovoltaic power generation facility can be installed within a user-designated installation location with reference to a photovoltaic installation type and photovoltaic power generation capacity.

In addition, the processor 112 according to an embodiment of the present invention refers to the solar conditions for each of the one or more second candidate positions selected by the above-described process, and corresponds to the amount of power generated at each of the one or more second candidate positions. The power generation index can be calculated. The processor 112 may determine a candidate location that satisfies a predetermined condition as the first candidate location with reference to the development index for each of the one or more second candidate locations.

The first candidate location determined according to this process may be provided to the user as three first candidate locations (Location 1, Location 2, and Location 3) as shown in FIG. 3 , and the user may select one of the provided first candidate locations. You can choose any one.

In an optional embodiment, the processor 112 may display the power generation index calculated in the process of determining the first candidate position from the second candidate positions to correspond to each of the one or more first candidate positions. For example, the processor 112 may display the development index for the first first candidate location (Location 1) as “Score: 87”. However, such a display format is exemplary and the spirit of the present invention is not limited thereto.

The user may select the most appropriate location among the one or more first candidate locations by comprehensively considering the installation site utilization plan (eg, land use plan) and the power generation index.

On the other hand, when the processor 112 calculates the power generation index corresponding to the amount of power generation at each of the one or more second candidate positions, the processor 112 selects the location known by the solar condition as one or more locations around the installation location input by the user. can be extracted. In addition, the processor 112 may calculate a solar condition for each of the one or more second candidate positions by referring to the solar condition at the extracted position.

In other words, the processor 112 according to an embodiment of the present invention may calculate the solar condition at the location where the solar condition is unknown and the power generation index accordingly based on the solar condition at the locations where the solar condition is known. there is.

In an embodiment of the present invention, the processor 112 may calculate the remaining photovoltaic conditions based on some photovoltaic conditions input by the user. For example, the processor 112 may determine the power generation capacity of the solar power generation facility to correspond to a difference between the existing electricity rate input by the user and a predetermined reference rate. As an example, the processor 112 checks a progressive rate threshold that is less than or equal to the existing electricity rate input by the user and is closest to the existing electricity rate, and determines the power generation capacity of the solar power generation facility so that the user's electricity rate does not exceed the threshold. may be However, this is an example, and the spirit of the present invention is not limited thereto.

When the power generation type according to the photovoltaic power generation condition input by the user is the first installation type (that is, the type in which the photovoltaic power generation facility is installed on land), the processor 112 according to an embodiment of the present invention displays a map display area An image of the land for the installation location input by the user in 460 may be displayed. In addition, the processor 112 may display one or more first candidate positions in correspondence with the development index on the displayed land image.

Although not shown in FIG. 3 , in the processor 112 according to an embodiment of the present invention, the power generation type according to the photovoltaic power generation condition input by the user is the second installation type (ie, the type in which the photovoltaic power generation facility is installed on a building). ), an image in which the outer structure of the building appears in the map display area may be displayed. In addition, the processor 112 may display the one or more first candidate positions and the power generation index in correspondence to the displayed exterior image of the building.

The processor 112 according to an embodiment of the present invention may calculate the economic feasibility evaluation result with reference to the photovoltaic power generation condition input by the user. For example, the processor 112 may calculate the economical evaluation result of solar power generation according to the user's input to the setting completion button 450 . In this case, the economic evaluation result may include the investment cost required for solar power generation, the amount of power generated per unit period, and the profit per unit period.

In an optional embodiment, the economic evaluation result may further include a maintenance cost per unit period, a recovery period for investment in equipment, a reduction rate of electricity bills, and the like.

The processor 112 according to an embodiment of the present invention may predict the amount of power generation at the installation location input by the user using the learned artificial neural network.

In this case, the artificial neural network is learned based on learning data including at least one weather element and the amount of power generation, and may be a neural network that has learned a correlation between the at least one weather element and the amount of power generation.

In an embodiment of the present invention, the processor 112 includes temperature, cloudiness, insolation, wind speed, sunrise time and sunset time as meteorological elements, and generates an artificial neural network based on the learning data in which the amount of power generation corresponding to the corresponding weather element is marked. can learn

According to the above-described learning, the artificial neural network may output a predicted power generation amount in response to the input of at least one weather element, and the processor 112 may calculate the economic feasibility evaluation result using the artificial neural network.

In one embodiment of the present invention, the processor 112 may calculate the economic feasibility evaluation result for each predetermined unit time, for example, the processor 112 calculates the economic feasibility evaluation result on a weekly, daily, and hourly basis. can do. However, this is an example, and the spirit of the present invention is not limited thereto.

The processor 112 according to an embodiment of the present invention may display the result of the economic evaluation calculated according to the above-described process.

4 is an example of an economical evaluation result display screen 500 displayed on the user terminal 100 .

The processor 112 according to an embodiment of the present invention may display an image corresponding to the installation location input by the user in the map display area 520 as shown in FIG. 4 . In addition, the processor 112 may display an image of the photovoltaic facility corresponding to the photovoltaic power generation condition on the image displayed in the area 520 .

Of course, the processor 112 according to an embodiment of the present invention may display various economic evaluation result items, for example, the processor 112 may include an investment cost item 530, a facility quantity item 540, and a maintenance cost per unit period. The item 550, the payback period item 560, and the fee reduction rate item 570 may be displayed as economic evaluation result items. In addition, the processor 112 according to an embodiment of the present invention may display a specific installation location 510 .

As described above, the present invention provides an economic feasibility evaluation item according to the photovoltaic power generation condition input by the user, so that the user can easily check the economic feasibility of the photovoltaic power generation. In addition, the present invention can present a bird's eye view when a photovoltaic power generation facility is installed at the installation location input by the user, so that various aspects can be reviewed along with the economic review.

In an optional embodiment, the processor 112 according to an embodiment of the present invention may provide a generation point selection interface. In this case, the 'development time point' may mean a specific time point on a specific day of the year.

In addition, the processor 112 may calculate a weather element corresponding to the power generation time selected by the user. In this case, the processor 112 may calculate the weather elements of the power generation time selected by the user based on the average weather elements for a specific time. However, this is an example, and the spirit of the present invention is not limited thereto.

The processor 112 may apply an effect corresponding to the calculated weather element to the installation location image displayed on the map display area 520 . For example, when the calculated weather factor is 'sunny weather with strong sunlight', the processor 112 may apply an effect corresponding to strong sunlight to the image.

In addition, the processor 112 may provide an expected amount of power generation at a specific power generation time point selected by the user.

The user can review the economic feasibility of photovoltaic power generation by changing the power generation time through the interface and easily checking the weather factors at each time point and the amount of power generated accordingly.

5 is a flowchart illustrating a method for evaluating the economic feasibility of solar power generation performed by the user terminal 100 according to an embodiment of the present invention. Hereinafter, descriptions of contents overlapping with those described with reference to FIGS. 1 to 4 will be omitted, but will be described with reference to FIGS. 1 to 4 together.

The user terminal 100 according to an embodiment of the present invention may obtain a user's input for a photovoltaic power generation condition (S31).

In this case, the 'solar power generation condition' may include various items. For example, the photovoltaic power generation condition may include a photovoltaic installation type, photovoltaic power generation capacity, an installation location, and an existing electricity rate.

In one embodiment, 'solar power installation type' refers to the first installation type in which photovoltaic power generation facilities are installed on land (lease, land, former, farm, etc.) ) may be any one of the second installation types to be installed on. However, this type of development is exemplary and the spirit of the present invention is not limited thereto.

In an embodiment, the 'solar power generation capacity' may mean an amount of power that a user desires to obtain from a solar power generation facility during a unit period. In another embodiment, such solar power generation capacity may be input and obtained in the form of a target revenue (ie, amount).

In an embodiment, the 'installation location' may mean a geographic location where the solar power generation facility is installed. The user terminal 100 according to an embodiment of the present invention may receive an installation location input in the form of an address such as '992 Dongan-gu, Anyang-si, Gyeonggi-do'. In another embodiment, the user terminal 100 may receive an installation location input in the form of an input for setting a division of the user on the displayed map. However, the above two methods are exemplary, and a method for specifying a location may be used without limitation.

In an embodiment, the 'existing electricity rate' may mean an average of electricity rates or electricity rates paid by users before installation of the solar power generation facility. This 'existing electricity rate' may be used to determine the solar power generation capacity in an embodiment.

It will be described again with reference to FIG. 3 . The user terminal 100 according to an embodiment of the present invention may obtain a user input for each field 410 , 420 , 430 , 440 of the screen 400 as a photovoltaic power generation condition. For example, the user terminal 100 enters the user's address for the address field 410, the user's type selection input for the installation type field 420, the user's power generation capacity input for the generation capacity field 430, the existing electricity rate A fee input may be obtained for field 440 . Meanwhile, the user terminal 100 may receive the user's input for the power generation capacity field 430 in the form of power generation capacity 431 or in the form of target revenue 432 . However, this is an example, and the spirit of the present invention is not limited thereto.

In this case, the user terminal 100 according to an embodiment of the present invention displays an image corresponding to the installation location input by the user in the map display area 460 in response to the user's input to the installation address field 410 . can Meanwhile, the image corresponding to the installation location may be received from the above-described server 200 .

The user terminal 100 according to an embodiment of the present invention may display one or more first candidate locations where photovoltaic facilities can be installed on the image displayed on the map display area 460 . In this case, the user terminal 100 may display the first candidate location in an appropriate form (size and location, etc.) on the image with reference to the remaining photovoltaic power generation conditions (solar power generation capacity, photovoltaic installation type, etc.). For example, as shown in FIG. 3 , the user terminal 100 may display three first candidate locations (Location 1, Location 2, and Location 3) on an image corresponding to an installation location.

The user terminal 100 according to an embodiment of the present invention may add information on the first candidate location selected by the user among the displayed one or more first candidate locations (Location 1, Location 2, and Location 3) to the photovoltaic power generation condition. there is. For example, when the user selects the first candidate location (Location 1) from among the three displayed first candidate locations (Location 1, Location 2, and Location 3), the user terminal 100 selects the first candidate location (Location 1). As a more specific installation site, it can be included in the photovoltaic power generation conditions.

In an optional embodiment, the user terminal 100 may obtain a user's correction input for any one candidate position among one or more first candidate positions. In this case, the correction input may be an input for moving the overall position of the first candidate position or an input for correcting the shape of a boundary line of a specific part. The user terminal 100 may acquire the user's input within a range that satisfies the remaining solar power generation conditions (solar power generation capacity, solar installation type, etc.) and include it in the photovoltaic power generation conditions.

The user terminal 100 according to an embodiment of the present invention may select one or more second candidate locations where a photovoltaic facility can be installed with reference to the photovoltaic power generation condition input by the user. For example, the user terminal 100 may select one or more second candidate locations in which a solar power generation facility can be installed within a user-designated installation location with reference to a solar installation type and a solar power generation capacity.

In addition, the user terminal 100 according to an embodiment of the present invention corresponds to the amount of power generated at each of the one or more second candidate positions with reference to the solar conditions for each of the one or more second candidate positions selected by the above-described process. The development index can be calculated. The user terminal 100 may determine a candidate location that satisfies a predetermined condition as the first candidate location by referring to the development index for each of the one or more second candidate locations.

The first candidate location determined according to this process may be provided to the user as three first candidate locations (Location 1, Location 2, and Location 3) as shown in FIG. 3 , and the user may select one of the provided first candidate locations. You can choose any one.

In an optional embodiment, the user terminal 100 may display the power generation index calculated in the process of determining the first candidate position from the second candidate positions in correspondence with each of the one or more first candidate positions. For example, the user terminal 100 may display the development index for the first first candidate location (Location 1) as “Score: 87”. However, such a display format is exemplary and the spirit of the present invention is not limited thereto.

The user may select the most appropriate location among the one or more first candidate locations by comprehensively considering the installation site utilization plan (eg, land use plan) and the power generation index.

On the other hand, when the user terminal 100 calculates the power generation index corresponding to the amount of power generation in each of the one or more second candidate positions, the user terminal 100 is one or more locations around the installation place input by the user, and the solar condition is known. location can be extracted. In addition, the user terminal 100 may calculate the solar conditions for each of the one or more second candidate positions by referring to the solar conditions at the extracted positions.

In other words, the user terminal 100 according to an embodiment of the present invention calculates the solar condition at the location where the solar condition is unknown and the power generation index accordingly, based on the solar condition at the locations where the solar condition is known. can

In an embodiment of the present invention, the user terminal 100 may calculate the remaining photovoltaic conditions based on some photovoltaic conditions input by the user. For example, the user terminal 100 may determine the power generation capacity of the solar power generation facility to correspond to a difference between the existing electricity rate input by the user and a predetermined reference rate. For example, the user terminal 100 checks the progressive rate threshold that is less than or equal to the existing electricity rate input by the user and is closest to the existing electricity rate, and adjusts the power generation capacity of the solar power generation facility so that the user's electricity rate does not exceed the threshold. may decide However, this is an example, and the spirit of the present invention is not limited thereto.

The user terminal 100 according to an embodiment of the present invention displays a map when the power generation type according to the photovoltaic power generation condition input by the user is the first installation type (ie, the type in which the photovoltaic power generation facility is installed on the land). An image of land for the installation location input by the user may be displayed in the area 460 . In addition, the user terminal 100 may be displayed on the displayed land image by matching one or more first candidate positions with the power generation index.

Although not shown in FIG. 3 , in the user terminal 100 according to an embodiment of the present invention, the power generation type according to the photovoltaic power generation condition input by the user is the second installation type (that is, the photovoltaic power generation facility is installed on a building). type), an image in which the outer structure of the building appears in the map display area may be displayed. In addition, the user terminal 100 may display one or more first candidate positions and the power generation index in correspondence to the displayed exterior image of the building.

The user terminal 100 according to an embodiment of the present invention may calculate the economic evaluation result with reference to the photovoltaic power generation condition input by the user. (S32)

For example, the user terminal 100 may calculate the economical evaluation result of solar power generation according to the user's input to the setting completion button 450 . In this case, the economic evaluation result may include the investment cost required for solar power generation, the amount of power generated per unit period, and the profit per unit period.

In an optional embodiment, the economic evaluation result may further include a maintenance cost per unit period, a recovery period for investment in equipment, a reduction rate of electricity bills, and the like.

The user terminal 100 according to an embodiment of the present invention may predict the amount of power generation at the installation location input by the user using the learned artificial neural network.

In this case, the artificial neural network is learned based on learning data including at least one weather element and the amount of power generation, and may be a neural network that has learned a correlation between the at least one weather element and the amount of power generation.

In an embodiment of the present invention, the user terminal 100 includes temperature, cloudiness, insolation, wind speed, sunrise time and sunset time as meteorological elements, and based on the learning data in which the amount of power generation corresponding to the corresponding weather element is marked, an artificial neural network can be learned

According to the above-described learning, the artificial neural network may output a predicted amount of power generation in response to the input of at least one weather element, and the user terminal 100 may calculate an economic evaluation result using such an artificial neural network.

In an embodiment of the present invention, the user terminal 100 may calculate the economical evaluation result for each predetermined unit time, for example, the user terminal 100 may calculate the economical evaluation result on a weekly, daily, and hourly basis. can be calculated. However, this is an example, and the spirit of the present invention is not limited thereto.

The user terminal 100 according to an embodiment of the present invention may display the economic evaluation result calculated according to the above-described process (S33).

4 is an example of an economical evaluation result display screen 500 displayed on the user terminal 100 .

The user terminal 100 according to an embodiment of the present invention may display an image corresponding to the installation location input by the user in the map display area 520 as shown in FIG. 4 . In addition, the user terminal 100 may display an image of the photovoltaic facility corresponding to the photovoltaic power generation condition on the image displayed in the area 520 .

Of course, the user terminal 100 according to an embodiment of the present invention may display various economic evaluation result items, for example, the user terminal 100 may include an investment cost item 530, a facility quantity item 540, and per unit period. A maintenance cost item 550 , an investment payback period item 560 , and a fee reduction rate item 570 may be displayed as economic evaluation result items. In addition, the user terminal 100 according to an embodiment of the present invention may display a specific installation location 510 .

As described above, the present invention provides an economic feasibility evaluation item according to the photovoltaic power generation condition input by the user, so that the user can easily check the economic feasibility of the photovoltaic power generation. In addition, the present invention can present a bird's eye view when a photovoltaic power generation facility is installed at the installation location input by the user, so that various aspects can be reviewed along with the economical review.

In an optional embodiment, the user terminal 100 according to an embodiment of the present invention may provide a generation time selection interface. In this case, the 'development time point' may mean a specific time point on a specific day of the year.

In addition, the user terminal 100 may calculate a weather element corresponding to the power generation time selected by the user. In this case, the user terminal 100 may calculate the weather element of the power generation time selected by the user based on the average weather element for a specific time. However, this is an example, and the spirit of the present invention is not limited thereto.

The user terminal 100 may apply an effect corresponding to the calculated weather element to the installation location image displayed on the map display area 520 . For example, when the calculated meteorological factor is 'sunny weather with strong sunlight', the user terminal 100 may apply an effect corresponding to strong sunlight to the image.

In addition, the user terminal 100 may provide an expected amount of power generation at a specific power generation time selected by the user.

The user can review the economic feasibility of photovoltaic power generation by changing the power generation time through the interface and easily checking the weather factors at each time point and the amount of power generated accordingly.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded in the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

101, 102, 103, 104: user terminal
111: memory
112: processor
113: communication module
114: input/output interface
115: input/output device
200: server
211: memory
212: processor
213: communication module
214: input/output interface
300: network

Claims (4)

In a method for evaluating the economics of solar power generation using a computing device trained artificial neural network,
obtaining a user's input for a photovoltaic power generation condition including an existing electricity rate, wherein the existing electricity rate is a rate determined based on a history of electricity rates paid by the user prior to installation of a photovoltaic facility;
calculating an economic evaluation result including an investment cost for solar power generation and an amount of power per unit period with reference to the photovoltaic power generation conditions; and
Displaying the economic evaluation result; Containing, the economic evaluation method of the artificial neural network-based solar power generation. The method according to claim 1
The step of obtaining the user's input is
Calculating at least one photovoltaic power generation condition not input by the user based on the photovoltaic power generation condition input by the user; Containing, A method for evaluating economic feasibility of artificial neural network-based photovoltaic power generation. 3. The method according to claim 2
The step of calculating the at least one photovoltaic power generation condition is
determining the power generation capacity of the photovoltaic facility to correspond to a difference between the existing electricity rate and a predetermined reference rate;
The method for evaluating the economic feasibility of artificial neural network-based photovoltaic power generation, wherein the predetermined standard rate is a standard rate that is less than or equal to the existing electricity rate and closest to the existing electricity rate among a plurality of standard rates according to a progressive billing system. The method according to claim 1
The step of calculating the economic evaluation result is
calculating a weather element corresponding to the first unit period; and
Predicting the amount of power generation in the first unit period from the weather element for the first unit period using the learned artificial neural network;
The learned artificial neural network is a neural network that has learned the correlation between at least one weather element and the amount of power generation, the method for evaluating economic feasibility of artificial neural network-based solar power generation.

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