KR20200102649A - Guiding system and managemennt server for production maximization of renewable energy generatiors - Google Patents

Abstract

The present invention relates to a guide system for maximizing a generation amount of a renewable energy generator and a management server therefor. According to one embodiment of the present invention, the guide system for maximizing the generation amount comprises: a renewable energy generator which produces electrical energy; a monitoring device which collects real-time generation information generated from the renewable energy generator; and a management server which provides a guide to maximize the generation amount of the renewable energy generator by comparing actual generation amount information collected from the monitoring device with expected generation amount information of the renewable energy generator.

Description

GUIDEING SYSTEM AND MANAGEMENNT SERVER FOR PRODUCTION MAXIMIZATION OF RENEWABLE ENERGY GENERATIORS}

The present invention relates to a system and a management server that provides a guide for maximizing the amount of power generation of a renewable energy generator.

The use of fossil fuels causes human health and property damage due to air pollution and climate change. In order to prevent such damage, the desire for the use of new and renewable energy such as solar power generation is gradually increasing.

However, it is difficult for users of renewable energy generators to check the power generation amount of the renewable energy generator, and even if the power generation amount is checked, it is not possible to confirm whether the renewable energy generator is operating normally and generating the maximum amount of power. there was.

That is, in the past, even if a renewable energy generator is installed, the user cannot determine whether the generator is abnormal, and there is no way to know what measures to take to ensure that the renewable energy generator is generated at its maximum power generation. In addition, from the standpoint of the facility company, there is a problem that unnecessary labor and time are required when there are no defects because the user has to visit and inspect periodically regardless of whether the renewable energy generator is defective.

The present invention is to solve the above problems, and check whether the amount of power generated by the new and renewable energy generator in real time is the maximum amount that the new and renewable energy generator can generate. Its purpose is to provide a power generation maximization system and a management server that provides a guide that can maximize power generation.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

A guide system for maximizing generation amount according to an embodiment of the present invention comprises: a renewable energy generator for producing electric energy; A monitoring device that collects information on an actual amount of power generated by the renewable energy generator; And a management server that provides a guide for maximizing the generation amount of the renewable energy generator by comparing the actual generation amount information collected from the monitoring device with the expected generation amount information of the renewable energy generator in real time.

In an embodiment, the management server includes: a predicted power generation amount calculating unit that calculates the predicted power generation amount information of the renewable energy generator; A generation amount comparison unit comparing the estimated generation amount information calculated from the expected generation amount calculation unit and the actual generation amount information collected from the monitoring device; And when there is a difference between the estimated power generation amount information and the actual power generation amount information in the power generation amount comparison unit, a guide generation unit for generating a power generation amount maximization guide so that the power generation amount according to the actual power generation amount information coincides with the power generation amount according to the estimated power generation amount information. I can.

In one embodiment, the renewable energy generator is a solar power generator, and the expected power generation amount calculation unit is LiDAR (Light Detection and Ranging) three-dimensionally mapping the topography of the location where the photovoltaic generator is installed and the shape of the surrounding area. The estimated amount of power generation information may be calculated by performing a simulation based on at least one of data, solar path, solar radiation data, and weather information.

In one embodiment, the estimated generation amount calculation unit may analyze a generation amount data pattern of the actual generation amount information collected from the solar generator and calculate the estimated generation amount information based on a user-customized learning algorithm.

In one embodiment, the estimated generation amount calculation unit uses 3D data of objects around the solar generator collected from the LiDAR data, and uses the 3D data for the solar generator by the objects around the solar generator according to the path of the sun. It may further include an insolation interference area calculating unit for calculating an area in which the insolation is disturbed.

In an embodiment, the guide generator may provide a guide for solving the defect by estimating a defect of the solar generator by analyzing a power waveform and a power value of the actual generation amount information.

In an embodiment, the management server may further include a reward calculation unit that calculates a reward according to the actual generation amount information collected from the monitoring device and pays it to a user account.

According to an embodiment of the present invention, a management server providing a guide capable of maximizing the amount of power generation of a new and renewable energy generator includes: a predicted power generation amount calculating unit that calculates information about the estimated amount of power generation of the new and renewable energy generator; A generation amount comparison unit for comparing the estimated generation amount information calculated from the expected generation amount calculation unit with the actual generation amount information of the new and renewable energy generator; And when there is a difference between the estimated power generation amount information and the actual power generation amount information in the power generation amount comparison unit, the power generation amount according to the actual power generation amount information includes a guide generation unit that generates a power generation amount maximization guide so that the amount of power generation according to the estimated power generation amount information is matched. I can.

In one embodiment, the renewable energy generator is a solar power generator, and the expected power generation amount calculation unit is LiDAR (Light Detection and Ranging) three-dimensionally mapping the topography of the location where the photovoltaic generator is installed and the shape of the surrounding area. The predicted generation amount information may be calculated by performing a simulation based on at least one of data, solar path, solar radiation data, and weather information.

In one embodiment, the estimated generation amount calculation unit uses 3D data of objects around the solar generator collected from the LiDAR data, and uses the 3D data for the solar generator by the objects around the solar generator according to the path of the sun. It may further include an insolation interference area calculating unit for calculating an area in which the insolation is disturbed.

1 is a block diagram of a guide system for maximizing power generation according to an embodiment of the present invention.
2 is a block diagram of a management server according to an embodiment of the present invention.
3 is a block diagram illustrating a method of calculating a predicted power generation amount by a predicted power generation amount calculating unit according to an embodiment of the present invention.
4 is a flowchart illustrating a process of providing a guide for maximizing power generation according to an embodiment of the present invention.
5A to 5C are exemplary diagrams illustrating an insolation interference area according to an exemplary embodiment of the present invention as time passes.
6 to 7 are exemplary views showing a driving screen of an application operated by a management server according to an embodiment of the present invention.

The terms used in the present specification are for describing exemplary embodiments and are not intended to limit the present invention. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used in the specification, “comprises” and/or “comprising” do not exclude the presence or addition of one or more other elements other than the mentioned elements. Throughout the specification, the same reference numerals refer to the same elements, and “and/or” includes each and all combinations of one or more of the mentioned elements.

The terms “module” or “~ unit” used in various embodiments of the present invention may mean, for example, a unit including one or a combination of two or more of hardware, software, or firmware. . “Module” or “~ unit” is used interchangeably with terms such as unit, logic, logical block, component, or circuit, for example. I can. The “module” or “~ unit” may be the smallest unit or a part of the integrally configured part, or may be the smallest unit or a part thereof that performs one or more functions. The “module” or “~ unit” may be implemented mechanically or electronically. For example, the “module” or “~ unit” according to various embodiments of the present invention is an application-specific integrated circuit (ASIC) chip that performs certain operations, known or developed in the future, and field-programmable gate arrays (FPGAs). ) Or a programmable-logic device.

The present invention relates to a system and a management server that provides a guide for maximizing the amount of power generation of a renewable energy generator, and the guide system for maximizing the amount of power generation according to an embodiment of the present invention is a renewable energy generator that produces electric energy, A monitoring device that collects information on the actual amount of power generated by an energy generator, and a guide to maximize the amount of power generated by a new and renewable energy generator by comparing the information on the actual amount of power generated from the monitoring device and the information on the expected amount of power generated by a new renewable energy generator. It characterized in that it comprises a management server. Here, the information on the estimated amount of power generation of the new and renewable energy generator means information on the amount of power generation that can be maximally generated when the new and renewable energy generator is normally operated without defects. In addition, the actual amount of power generation information refers to information on the amount of power generated by the renewable energy generator in real time. That is, the guide system for maximizing power generation according to an embodiment of the present invention can provide a guide for maximizing power generation by comparing expected power generation information and actual power generation information and providing a guide for resolving the difference if there is a difference. have.

Hereinafter, it will be described in more detail later with reference to the accompanying drawings.

1 is a block diagram of a guide system 10 for maximizing power generation according to an embodiment of the present invention.

As shown in FIG. 1, the guide system 10 for maximizing generation amount according to an embodiment of the present invention includes a renewable energy generator 100, a monitoring device 200, a management server 300, and a user terminal 400. Can include.

The renewable energy generator 100 is a device that generates electric energy using renewable energy such as solar energy, wind energy, and hydrogen energy. As an embodiment, the renewable energy generator 100 may be a solar generator, but is not limited thereto. In addition, the renewable energy generator 100 according to an embodiment of the present invention may also be applied to a portable renewable energy generator. The renewable energy generator 100 may be connected to the monitoring device 200 through wired/wireless communication to provide actual power generation information to the monitoring device 200 in real time.

The monitoring device 200 may collect information on the actual amount of power generated by the renewable energy generator 100 in real time. As an embodiment, the monitoring device 200 may include a display unit, and may display actual generation amount information for each time period so that the user can easily check the actual generation amount information collected by the renewable energy generator 100 through the display unit. In addition, the display unit may display the available time for each electronic product according to the actual power generation information.

The management server 300 is connected to the monitoring device 200 through a network and compares the actual generation amount information collected from the monitoring device 200 with the expected generation amount information of the renewable energy generator 100 to provide the renewable energy generator 100. It is an electronic device or program that provides a guide that can maximize the amount of power generation. The function of the management server 300 will be described later in detail in FIG. 2.

The user terminal 400 is an electronic device that is used by a user using the renewable energy generator 100 to access the management server 300 through an application to receive a guide for maximizing generation amount. The user terminal 100 may be, for example, at least one of a smartphone, a tablet, a netbook computer, or a wearable device, but is not limited thereto. For example, the function of the user terminal 400 may be performed by the monitoring device 200 according to an embodiment of the present invention. That is, the user can receive not only the actual amount of power generation information, but also the power generation amount maximization guide through the monitoring device 200. The user terminal 400 is connected in communication with the management server 300 through a network through a communication module such as a network module.

2 is a block diagram of a management server 300 according to an embodiment of the present invention.

As shown in FIG. 2, the management server 300 according to an embodiment of the present invention includes a communication module 310, a control unit 320, an expected generation amount calculation unit 321, a generation amount comparison unit 323, and a guide generation. A unit 325, a reward calculation unit 327, and a storage unit 330 may be included. For convenience of explanation, the subjects that perform each role in the management server 300 are displayed in the form of a ~ part or ~ module, but each part is a sub program module or a control unit operating in the management server 300 ( 320) may be functionally classified. These program modules are concepts encompassing routines, subroutines, programs, objects, components, data structures, etc. that perform each operation or execute a specific abstract data type, but are not limited thereto.

The communication module 310 may connect communication between the management server 300 and the monitoring device 200, the user terminal 400, or a facility company terminal (not shown). That is, the communication module 310 can be connected to the monitoring device 200, the user terminal 400, or the equipment company terminal through the network module.

The controller 320 may perform a data processing function of controlling a general operation such as power supply control of the management server 300 and a signal flow between internal components of the management server 300 and processing data. The control unit 320 may include at least one processor.

The expected generation amount calculation unit 321 may calculate information about the estimated generation amount of the renewable energy generator 100. In addition, when the renewable energy generator 100 is a solar power generator, the expected generation amount calculation unit 321 may include an insolation interference area calculation unit 321a. A detailed process of calculating the predicted power generation amount information by the expected power generation amount calculation unit 321 will be described later in detail with reference to FIG. 3.

The generation amount comparison unit 323 may compare the estimated generation amount information calculated from the expected generation amount calculation unit 321 with the actual generation amount information collected from the monitoring device 200.

When there is a difference between the estimated generation amount information and the actual generation amount information in the generation amount comparison unit 323, the guide generation unit 325 may generate a power generation maximization guide so that the amount of generation according to the actual generation amount information coincides with the generation amount according to the estimated generation amount information. have. The power generation maximization guide may be a guide to generate an optimal power generation amount. For example, when a shadow is generated on the solar generator, a guide may be provided to adjust the angle of the solar generator to minimize a shadow area. Alternatively, when there is a defect in the solar generator, the power generation maximization guide may be information on the defect of the solar power generator so that the actual power generation amount matches the expected power generation amount. As an embodiment, the guide generation unit 325 may further include a defect estimating unit for estimating a defect of the solar power generator by analyzing a power waveform and a power value of the actual generation amount information. As an embodiment, the defect estimating unit may estimate whether a panel at a location of the solar power generator has a defect by analyzing a power waveform and a power value of the actual generation information. In this case, the guide generation maximization guide generated by the guide generation unit 325 may be a guide to repair or replace a defective panel.

In this way, the guide to maximize the amount of power generated by the guide generation unit 325 may be transmitted to a user terminal or a facility company terminal through the communication module 310. As an embodiment, the communication module 310 may further include an information analysis unit (not shown) that selectively transmits to a user terminal or facility company according to the guide information generated from the guide generation unit 325. As an example, the information analysis unit may transmit the guide to the equipment manufacturer's terminal when the generated guide includes information on the defect of the solar power generator, and if not, it can transmit it to the user terminal.

The reward calculation unit 327 may calculate the reward according to the actual generation amount information collected from the monitoring device and pay it to the user account. As an example, a reward according to a corresponding generation amount may be paid to a user account by referring to a reward payment table mapped according to generation amount. These rewards can be accumulated on an application by being implemented in the form of points having, for example, an arbitrary unit. In this way, by providing a reward according to the amount of renewable energy generated, it is possible to inspire the user to use the solar power generator.

The storage unit 330 may store data received or generated from the control unit 320, the management server 300, or other components of the power generation maximizing system 10. The storage unit 330 may include a memory, a cache, a buffer, and the like, and may be composed of software, firmware, hardware, or a combination of at least two or more of them.

As an embodiment, the storage unit 330 may store predicted power generation information, actual power generation information, LiDAR data, insolation data, solar path information, weather information, user account identification information, reward information, power generation-reward mapping table, etc. have. In this way, the information stored in the storage unit 330 may be updated or changed periodically or at any time.

FIG. 3 is a block diagram illustrating a method of calculating an expected power generation amount by the estimated power generation amount calculating unit 321 according to an embodiment of the present invention. In the embodiment of FIG. 3, the renewable energy generator may be a solar generator.

As shown in FIG. 3, the estimated power generation amount calculation unit 321 3D maps the topography of the location where the solar generator is installed and the shape of the surrounding area, and the LiDAR (Light Detection and Ranging) data 331, The estimated power generation information may be calculated by performing a simulation based on at least one of the solar path 335, the solar radiation data 333, and the weather information 337. Furthermore, the estimated generation amount calculation unit 321 may calculate more accurate estimated generation amount information by analyzing the pattern 339 of the actual generation amount information collected from the solar generator. For example, if there is information on the actual amount of power generation for the last year of the corresponding solar power generator, the data pattern of the amount of power generation for the last year is analyzed for each period through deep learning technology to more accurately calculate the estimated amount of power generated at that time. And such a deep learning technology makes it possible to generate more sophisticated prediction models based on more data as the data is accumulated.

In addition, when the solar generator has an insolation disturbance region, the insolation disturbance region calculation unit 321a calculates the insolation disturbance region using the LiDAR data 331 and the solar path 335 and reflects it in the expected generation amount information. I can.

The LiDAR data 331 refers to data obtained by three-dimensionally mapping the surrounding shape by sensing reflected light after irradiating laser light onto a specific target. Specifically, the LiDAR data 331 can identify a specific object and its surrounding shape using various variables such as a time it takes for light to be reflected and detected after light is irradiated to a specific object mainly using an aircraft or drone.

The solar radiation data 333 is data obtained by measuring the intensity of solar radiation and may be obtained from the Korea Meteorological Agency.

The solar radiation disturbance area calculation unit 321a uses the 3D data of objects around the solar generator collected from the LiDAR data 331 to determine the solar power generator by the objects around the solar generator according to the path 335 of the sun. The area in which solar radiation is disturbed can be calculated. For example, when a solar power generator is installed in a location where there are buildings or trees around, a shadow cast on the solar power generator may occur along the path of the sun 335, and in this case, the area of the shadow is over time. It can change accordingly. In this case, the insolation disturbance region calculation unit 321a may calculate the insolation disturbance region according to the passage of time and reflect this when calculating the estimated power generation amount. Accordingly, a more accurate estimated power generation amount can be calculated, and a defect of the solar power generator can be recognized through a difference between the actual power generation amount and the accurate estimated power generation amount. In addition, by analyzing the pattern of the actual amount of power generation information, it is possible to specifically grasp defect problems such as which part of the photovoltaic generator is defective. This is because, in the case of the estimated amount of power generation that does not take into account the area in which the solar radiation is disturbed, even when the solar power generator is operating normally, there may be a large difference from the actual power generation amount.

4 is a flowchart illustrating a process of providing a guide to maximize power generation according to an embodiment of the present invention. Each step of FIG. 4 may be performed by a management server according to an embodiment of the present invention.

As shown in Figure 4, the method of providing a guide for maximizing power generation according to an embodiment of the present invention includes a step of calculating estimated power generation information (S410), collecting actual power generation information (S420), comparing expected power generation information and actual power generation information ( S430), a step (S440) of determining whether there is a difference between the predicted power generation information and the actual power generation information (S440), and a step (S450) of providing a power generation maximization guide.

Specifically, in the case where the renewable energy generator according to an embodiment of the present invention is a solar power generator, the topography of the location where the solar power generator is installed and the shape of the surrounding area are three-dimensionally mapped in the estimated power generation information calculation step (S410). Estimated power generation information can be calculated by performing a simulation based on LiDAR data, insolation data, and weather information. As an embodiment, when there is an area of insolation disturbance when calculating the estimated amount of power generation information, a photovoltaic generator collected from LiDAR data and a photovoltaic generator by surrounding objects according to the path of the sun using 3D data of surrounding objects The area in which the amount of insolation is disturbed can be calculated and reflected in the estimated power generation information.

Then, in the actual generation amount information collecting step (S420), the power generation amount information generated in real time is collected from the monitoring device, and the estimated power generation amount information and the actual power generation amount information may be compared in the expected power generation amount and the actual power generation amount comparison step (S430).

Then, in step S440 of determining whether there is a difference between the estimated generation amount information and the actual generation amount information, it may be determined whether there is a difference between the estimated generation amount information and the actual generation amount information. As an embodiment, when the difference value is within a preset error range, it may be determined that there is no difference.

When it is determined that there is a difference in step S440, that is, when the difference value exceeds the preset error range, the amount of generation according to the actual generation amount information is provided in step S450 to match the amount of generation according to the estimated generation amount information. You can provide a guide to do it. As an embodiment, the power generation maximization guide may include information on a defect of a solar power generator estimated by analyzing a power waveform and a power value of the actual power generation information. As an example, the information on the defect of the solar generator may be information about the panel at which position of the solar generator is defective.

5A to 5C are exemplary diagrams illustrating a region of insolation of the solar generator 110 according to an embodiment of the present invention as time passes.

As shown in FIGS. 5A to 5C, the solar generator 110 may have an insolation disturbing area 150 in which insolation is disturbed by surrounding objects, and this insolation disturbing area is the path of the sun, that is, the passage of time. It can be changed according to. As an embodiment, the insolation interference area 150 may vary from a -> b -> c according to the passage of time. Therefore, when calculating the estimated amount of power generation information, the amount of power generation for an area equal to the amount of insolation interference area 150 may be subtracted from the total estimated amount of power generation by reflecting the insolation disturbing region 150 that varies with the passage of time, thereby calculating the estimated power generation amount information. Accordingly, it is possible to calculate the expected power generation information in consideration of the insolation disturbing region 150 in which the solar power generator 110 is obstructed, there is an advantage of calculating more accurate estimated power generation information.

6 to 7 are exemplary views showing a driving screen of an application operated by a management server according to an embodiment of the present invention.

As shown in FIG. 6, the actual power generation amount generated by the solar generator according to an embodiment of the present invention in real time may be displayed as an actual power generation amount graph 610 over time indicating the amount of power generation by time. In addition, on the same screen, it is possible to simultaneously display a comparison table 620 of an expected power generation amount and an actual power generation amount, a power generation maximization guide 630, and a contact information 640 of a person in charge of the corresponding facility and equipment. As an embodiment, the predicted generation amount and the actual generation amount comparison table 620 compares the expected generation amount and the actual generation amount, and when the actual generation amount is less than the expected generation amount and when the actual generation amount is greater than the expected generation amount, the difference values are displayed in different colors. I can. In this way, by simultaneously displaying the actual power generation graph 610 over time, the predicted power generation and actual power generation comparison table 620, the power generation maximization guide 630, and the contact information 640 for the corresponding facility and equipment, the user There is an advantage of being able to identify at a glance whether the photovoltaic generator is defective, and to immediately take necessary measures for maintenance.

7 is an exemplary view showing a driving screen of an application indicating the accumulated power generation amount by region.

As shown in FIG. 7, the cumulative power generation amount for each region is displayed on the same screen as the cumulative power generation amount of the country, the cumulative power generation amount of the corresponding region, and the number of generation days, so that the amount of power generation in the corresponding region can be checked at a glance. Such cumulative power generation for each region can be used as useful information when an institution, such as a local government, that wants to collect information on the cumulative power generation in a corresponding region or a solar generator facility company selects a region to install a solar power generator.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module includes Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those of ordinary skill in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features. You can understand. Therefore, the embodiments described above are illustrative in all respects, and should be understood as non-limiting.

10: Power Generation Maximization Guide System 100: Renewable Energy Generator
200: monitoring device 300: management server
321: Estimated power generation calculation unit 321a: Insolation interference area calculation unit
330: power generation comparison unit 325: guide generation unit
400: user terminal

Claims (10)

It relates to a system for maximizing the power generation amount of a renewable energy generator,
Renewable energy generators that produce electrical energy;
A monitoring device for collecting information on an actual amount of power generated by the renewable energy generator in real time; And
Comprising a management server that provides a guide for maximizing the generation amount of the renewable energy generator by comparing the actual generation amount information collected from the monitoring device and the expected generation amount information of the new and renewable energy generator. The method of claim 1,
The management server,
A predicted power generation amount calculating unit that calculates the estimated power generation amount information of the renewable energy generator;
A generation amount comparison unit comparing the estimated generation amount information calculated from the expected generation amount calculation unit and the actual generation amount information collected from the monitoring device; And
In the case where there is a difference between the estimated power generation amount information and the actual power generation amount information in the power generation amount comparing unit, the power generation amount according to the actual power generation amount information includes a guide generation unit generating a power generation amount maximization guide so that the amount of power generation according to the estimated power generation amount information is matched, Guide system to maximize power generation. The method of claim 2,
The renewable energy generator is a solar generator,
The estimated generation amount calculation unit,
The prediction is performed by performing a simulation based on at least one of LiDAR (Light Detection and Ranging) data, the path of the sun, the solar radiation data, and weather information that three-dimensionally maps the topography of the location where the solar generator is installed and the shape of the surrounding area. Power generation maximization guide system that calculates power generation information. The method of claim 3,
The estimated generation amount calculation unit,
A guide system for maximizing power generation by analyzing a power generation amount data pattern of the actual power generation amount information collected from the solar power generator. The method of claim 3,
The estimated generation amount calculation unit,
Calculation of an insolation interference area to calculate an area in which insolation to the solar generator is disturbed by objects around the solar generator according to the path of the sun by using 3D data of objects around the solar generator collected from the LiDAR data A guide system for maximizing the amount of generation that further includes wealth. The method of claim 3,
The guide generation unit,
A guide system for maximizing power generation by analyzing a power waveform and power value of the actual power generation information and estimating a fault in the solar generator to provide a guide for solving the fault. The method of claim 3,
The management server,
A guide system for maximizing power generation, further comprising a reward calculation unit calculating a reward according to the actual power generation information collected from the monitoring device and paying it to a user account. As a management server that provides a guide to maximize the amount of generation of renewable energy generators,
A predicted power generation amount calculation unit that calculates information about an estimated power generation amount of the renewable energy generator;
A generation amount comparison unit for comparing the estimated generation amount information calculated from the expected generation amount calculation unit with the actual generation amount information of the new and renewable energy generator; And
In the case where there is a difference between the estimated power generation amount information and the actual power generation amount information in the power generation amount comparing unit, the power generation amount according to the actual power generation amount information includes a guide generation unit generating a power generation amount maximization guide so that the amount of power generation according to the estimated power generation amount information is matched, Management server. The method of claim 8,
The renewable energy generator is a solar generator,
The estimated generation amount calculation unit,
By performing a simulation based on at least one of LiDAR (Light Detection and Ranging) data, the path of the sun, the solar radiation data, and weather information, which three-dimensionally maps the topography of the location where the solar generator is installed and the shape of the surrounding area, the A management server that calculates the estimated generation amount information. The method of claim 9,
The estimated generation amount calculation unit,
Calculation of an insolation interference area to calculate an area in which insolation to the solar generator is disturbed by objects around the solar generator according to the path of the sun by using 3D data of objects around the solar generator collected from the LiDAR data The management server, which further includes wealth.

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