Energy analysis device and energy analysis method

Abstract

According to some embodiments, an energy analysis device comprises a processor and memory configured to store instructions that, when executed by the processor, instruct the processor to perform the operations of: summing wind speed values of dates included in a first analysis period having an analysis target time point as an end point on the basis of wind power data of an analysis target area to calculate a resource amount at the analysis target time point; calculating past year resource amounts corresponding to past years included in a second analysis period having the analysis target time point as an end point; and calculating a wind power resource index at the analysis target time point on the basis of the resource amount at the analysis target time point and the past year resource amounts.

Description

Energy analysis device and energy analysis method

[0001] Cross-citation with related applications

[0002] This application claims the benefit of priority from Republic of Korea Patent Application No. 10-2024-0121712, filed September 6, 2024, the entire contents of which are incorporated herein by reference.

[0003] Technology field

[0004] The embodiments disclosed in this document relate to an energy analysis device and an energy analysis method.

[0005] Wind is an intermittent renewable energy source and can be utilized as a resource for wind power generation. Wind characteristics can be quantified by wind speed and direction. While numerous attempts have attempted to quantify wind resource volume using wind speed, these have faced limitations in expressing the relative abundance of the resource quantitatively, objectively, and intuitively. For example, even if the average wind speed on a particular day this year is relatively high compared to other years, if the average wind speed on the following day is relatively low, it can be difficult to objectively assess whether wind resources are abundant from a resource perspective.

[0006] One of the purposes of the embodiments disclosed in this document is to provide an energy analysis device and an energy analysis method that can quantitatively, objectively, and intuitively express the relative resource amount of wind from the perspective of wind power generation resources.

[0007] The technical objectives of the embodiments disclosed in this document are not limited to the technical tasks mentioned above, and other technical tasks not mentioned will be clearly understood by those skilled in the art from the descriptions below.

[0008] According to some embodiments, the energy analysis device includes a processor; and a memory configured to store instructions that, when executed by the processor, cause the processor to perform operations including: calculating a resource amount at a point in time for analysis by adding wind speed values ​​of dates belonging to a first analysis period having an analysis point in time as an end point based on wind power data of an analysis area, calculating past year resource amounts corresponding to past years belonging to a second analysis period having the analysis point in time as an end point, and calculating a wind resource index at the point in time for analysis based on the resource amount at the point in time for analysis and the past year resource amounts.

[0009] According to some embodiments, the operation of calculating the wind resource index includes the operation of calculating the climatic average resource amount at the analysis target point in time based on the resource amount at the analysis target point in time and the average of the resource amounts of past years; and the operation of calculating the wind resource index based on the climatic average resource amount.

[0010] According to some embodiments, the operation of calculating the wind resource index includes the operation of calculating a resource quantity deviation at the analysis target point in time by subtracting the climatic average resource quantity from the resource quantity at the analysis target point in time; and the operation of calculating the wind resource index based on the resource quantity deviation.

[0011] According to some embodiments, the operation of calculating the wind resource index includes: calculating past year resource quantity deviations corresponding to past years belonging to the second analysis period; calculating a climatic average deviation at the analysis target point in time based on the resource quantity deviation at the analysis target point in time and an average of the past year resource quantity deviations; and calculating the wind resource index based on the climatic average deviation.

[0012] According to some embodiments, the operation of calculating the wind resource index includes the operation of calculating the resource amount deviation at the analysis target time point and the standard deviation of the resource amount deviations of past years based on the climatic average deviation; and the operation of calculating the wind resource index based on the standard deviation.

[0013] According to some embodiments, the operation of calculating the wind resource index includes the operation of calculating the wind resource index based on a value obtained by dividing the resource amount deviation at the analysis target time by the standard deviation.

[0014] According to some embodiments, the first analysis period is set to correspond to the length of one of the seasons of the analyzed area.

[0015] According to some embodiments, the operations further include an operation of dividing the wind resource index into sections to display the relative resource amount of the analysis target area.

[0016] According to some embodiments, an energy analysis method includes: calculating a resource amount at a point in time for analysis by adding up wind speed values ​​of days belonging to a first analysis period having an analysis point in time as an end point based on wind power data of an analysis area; calculating past year resource amounts corresponding to past years belonging to a second analysis period having the analysis point in time as an end point; and calculating a wind resource index at the point in time for analysis based on the resource amount at the point in time for analysis and the past year resource amounts.

[0017] According to some embodiments, the step of calculating the wind resource index includes the step of calculating a climatic average resource amount at the analysis point in time based on the resource amount at the analysis point in time and an average of the resource amounts of past years; and the step of calculating the wind resource index based on the climatic average resource amount.

[0018] According to some embodiments, the step of calculating the wind resource index includes the step of calculating a resource quantity deviation at the analysis target point in time by subtracting the climatic average resource quantity from the resource quantity at the analysis target point in time; and the step of calculating the wind resource index based on the resource quantity deviation.

[0019] According to some embodiments, the step of calculating the wind resource index includes the step of calculating past year resource quantity deviations corresponding to past years belonging to the second analysis period; the step of calculating a climatic average deviation at the analysis point in time based on the resource quantity deviation at the analysis point in time and the average of the past year resource quantity deviations; and the step of calculating the wind resource index based on the climatic average deviation.

[0020] According to some embodiments, the step of calculating the wind resource index includes the step of calculating the resource amount deviation at the analysis target time point and the standard deviation of the resource amount deviations of past years based on the climatic average deviation; and the step of calculating the wind resource index based on the standard deviation.

[0021] According to some embodiments, the step of calculating the wind resource index includes the step of calculating the wind resource index based on a value obtained by dividing the resource amount deviation at the analysis target time by the standard deviation.

[0022] According to some embodiments, the first analysis period is set to correspond to the length of one of the seasons of the analyzed area.

[0023] According to some embodiments, the energy analysis method further includes a step of dividing the wind resource index into sections to display the relative resource amount of the analysis target area.

[0024] According to some embodiments, a computer program stored in a computer-readable medium stores instructions that, when executed by a processor, cause the processor to perform operations including: calculating a resource amount at a time point of the analysis target by adding wind speed values ​​of dates belonging to a first analysis period having an analysis target time point as an end point based on wind data of an analysis target area, calculating past year resource amounts corresponding to past years belonging to a second analysis period having the analysis target time point as an end point, and calculating a wind resource index at the time point of the analysis target based on the resource amount at the time point of the analysis target and the past year resource amounts.

[0025] According to some embodiments, the operation of calculating the wind resource index includes the operation of calculating the climatic average resource amount at the analysis target point in time based on the resource amount at the analysis target point in time and the average of the resource amounts of past years; and the operation of calculating the wind resource index based on the climatic average resource amount.

[0026] According to some embodiments, the operation of calculating the wind resource index includes the operation of calculating a resource quantity deviation at the analysis target point in time by subtracting the climatic average resource quantity from the resource quantity at the analysis target point in time; and the operation of calculating the wind resource index based on the resource quantity deviation.

[0027] According to some embodiments, the operation of calculating the wind resource index includes: calculating past year resource quantity deviations corresponding to past years belonging to the second analysis period; calculating a climatic average deviation at the analysis target point in time based on the resource quantity deviation at the analysis target point in time and an average of the past year resource quantity deviations; and calculating the wind resource index based on the climatic average deviation.

[0028] According to the embodiments disclosed in this document, an energy analysis device and an energy analysis method can be provided that can quantitatively, objectively, and intuitively express the relative resource amount of wind from the perspective of wind power generation resources.

[0029] The technical effects according to the embodiments disclosed in this document are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art according to the disclosure of this document.

[0030] Figure 1 illustrates how an energy analysis device operates according to some embodiments.

[0031] FIG. 2 illustrates elements constituting an energy analysis device according to some embodiments.

[0032] Figure 3 illustrates a conventional method for estimating wind power resources based on daily wind speed data.

[0033] FIG. 4 illustrates a method for calculating a wind resource index using an energy analysis device according to some embodiments.

[0034] FIG. 5 illustrates a specific process for calculating a wind resource index based on wind power data according to some embodiments.

[0035] Figures 6 to 8 illustrate graphs representing daily wind speed data, resource amount, and wind resource index according to some embodiments.

[0036] FIG. 9 illustrates a table that divides the wind resource index into sections to indicate relative resource amounts according to some embodiments.

[0037] FIG. 10 illustrates steps of configuring an energy analysis method according to some embodiments.

[0038] Hereinafter, embodiments described in this document are described with reference to the attached drawings. However, this is not intended to limit the disclosure of this document to specific embodiments, and it should be understood that various modifications, equivalents, and / or alternatives of the embodiments described in this document are included.

[0039] The embodiments and terminology used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more of the item, unless the context clearly indicates otherwise.

[0040] In this document, the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can each include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may be used merely to distinguish the corresponding component from other corresponding components, and do not limit the corresponding components in any other respect (e.g., importance or order) unless specifically stated otherwise.

[0041] In this document, when a component (e.g., a first component) is referred to as being “connected,” “coupled,” or “connected,” with or without the terms “functionally” or “communicatively,” or “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired or wirelessly), or indirectly (e.g., via a third component).

[0042] The methods according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory, CD-ROM), or may be distributed online (e.g., downloaded or uploaded) through an application store or directly between two driver devices. In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0043] According to the embodiments disclosed in this document, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to the embodiments disclosed in this document, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to the embodiments disclosed in this document, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0044] Figure 1 illustrates how an energy analysis device operates according to some embodiments.

[0045] Referring to FIG. 1, the energy analysis device (120) can analyze wind power data (110) and calculate a corresponding wind power resource index (130). The operation of the energy analysis device (120) can be implemented in the form of a computer program, mobile application, etc. The energy analysis device (120) can perform the analysis process by executing a program and / or app.

[0046] Wind power data (110) may be data regarding wind power measured in the analysis target area. Wind power data (110) may include wind direction and wind speed collected periodically at each wind power measurement location. For example, wind power data (110) may include daily wind speed values ​​representing wind speed values ​​measured at each wind power measurement location over a single day. For example, wind power data (110) may be data recorded on the Korea Meteorological Administration's wind power resource map, and other databases may be utilized as wind power data (110).

[0047] The wind resource index (130) can relatively express the amount of wind resources in the analysis target area and at the analysis target time. The wind resource index (130) can express the relative amount of wind resources in numbers. When the values ​​of the wind resource index (130) corresponding to a plurality of analysis target areas are calculated, the amount of wind resources can be compared based on the size of the values. According to an embodiment, the energy analysis device (120) can display the locations of a plurality of analysis target areas and the values ​​of the wind resource index (130) on a map, and the values ​​of the wind resource index (130) can be displayed on the map in a visual form, such as shading or color.

[0048] FIG. 2 illustrates elements constituting an energy analysis device according to some embodiments.

[0049] Referring to FIG. 2, the energy analysis device (120) may include a memory (121) and a processor (122). However, the present invention is not limited thereto, and some components may be omitted from the energy analysis device (120), or other components may be further included in the energy analysis device (120).

[0050] The processor (122) may have a structure for executing instructions that implement the operations of the energy analysis device (120). The processor (122) may be implemented as an array of multiple logic gates for processing various operations or as a general-purpose microprocessor, and may be composed of a single processor or multiple processors. For example, the processor (122) may be implemented in the form of at least one of a microprocessor, a CPU, a GPU, and an AP.

[0051] The processor (122) can operate together with a memory (121) configured to store various data, commands, mobile applications, computer programs, etc. The memory (121) can be configured separately from or integrally with the processor (122). The memory (121) can store commands of a computer program and / or a mobile application, and the processor (122) can process various operations by executing the commands stored in the memory (121). For example, the memory (121) can be implemented as a non-volatile device such as a ROM, a PROM, an EPROM, an EEPROM, a flash memory, a PRAM, an MRAM, an RRAM, an FRAM, etc., or a volatile device such as a DRAM, an SRAM, an SDRAM, a PRAM, etc., and can be implemented in the form of an HDD, an SSD, an SD, a Micro-SD, etc., or a combination thereof.

[0052] The processor (122) may be configured to calculate the resource amount at the analysis target point in time by summing the wind speed values ​​of the days belonging to the first analysis period with the analysis target point in time as the end point based on the wind power data (110) of the analysis target area by executing the commands stored in the memory (121). For example, the first analysis period may be 90 days or 3 months. The wind speed values ​​belonging to the 90-day or 3-month period with the analysis target point in time as the end day may be used to calculate the resource amount. One wind speed value may correspond to one day. For example, the average value of wind speed values ​​collected periodically for one day may be utilized as one wind speed value for one day. For example, the analysis target area may be any one of the wind power measurement locations of the wind power resource map of the Korea Meteorological Administration. The resource amount may be defined as the total sum of the wind speed values ​​of the days belonging to the first analysis period.

[0053] The processor (122) may be configured to calculate past year resource amounts corresponding to past years belonging to a second analysis period having an analysis target point as an end point by executing instructions stored in the memory (121). For example, the second analysis period may be 30 years. The 30-year period may be a time scale recommended by the World Meteorological Organization (WMO) for climate research. For example, if the analysis target point is June 30, 2030, the first analysis period may be from March 1 to June 30. If the second analysis period is 30 years, in addition to the current year resource amounts calculated for March to June 2030, past year resource amounts for March to June 2001, March to June 2002, March to June 2003, ..., March to June 2029 may be calculated.

[0054] The processor (122) may be configured to calculate a wind resource index (130) at the analysis target point in time based on the resource amount at the analysis target point in time and the resource amounts of past years by executing commands stored in the memory (121). For example, if the analysis target point in time is June 30, 2030, the first analysis period is 3 months, and the second analysis period is 30 years, in addition to the resource amount calculated for March to June 2030, the resource amounts of 29 past years from 2001 to 2029 may be calculated, and the wind resource index (130) of the analysis target region may be calculated based on the total of 30 resource amounts.

[0055] According to an embodiment, the operation of calculating a wind resource index may include: calculating a climatic average resource amount at the analysis target point in time based on the resource amount at the analysis target point in time and the average of resource amounts in past years; and calculating a wind resource index based on the climatic average resource amount. For example, if the analysis target point in time is June 30, 2030, the first analysis period is 3 months, and the second analysis period is 30 years, the average of the 30 resource amounts may be the climatic average resource amount at the analysis target point in time. This may be a value obtained by averaging the resource amount for the first analysis period over the second analysis period.

[0056] According to an embodiment, the operation of calculating a wind resource index may include an operation of calculating a resource amount deviation at the analysis target point in time by subtracting a climatic average resource amount from the resource amount at the analysis target point in time; and an operation of calculating a wind resource index based on the resource amount deviation. For example, if the analysis target point in time is June 30, 2030, the first analysis period is 3 months, and the second analysis period is 30 years, the resource amount deviation may be calculated by subtracting the climatic average resource amount corresponding to the 30-year average from the resource amount at the analysis target point in time, 2030. In addition to the current year 2030, resource amount deviations may be calculated in the same manner for past years 2001 to 2029. That is, 30 resource amount deviations may be calculated based on the average resource amount and 30 resource amounts.

[0057] According to an embodiment, the operation of calculating a wind resource index may include: an operation of calculating past year resource quantity deviations corresponding to past years belonging to a second analysis period; an operation of calculating a climatic average deviation at the analysis target point in time based on the resource quantity deviation at the analysis target point in time and the average of the past year resource quantity deviations; and an operation of calculating a wind resource index based on the climatic average deviation. For example, if the analysis target point in time is June 30, 2030, the first analysis period is 3 months, and the second analysis period is 30 years, 30 resource quantity deviations may be calculated based on the average resource quantity of 30 resource quantities. The climatic average deviation may be an average of the 30 resource quantity deviations.

[0058] According to an embodiment, the operation of calculating a wind resource index may include an operation of calculating a standard deviation of resource quantity deviations at an analysis target point in time and resource quantity deviations in past years based on a climatic average deviation; and an operation of calculating a wind resource index based on the standard deviation. For example, if the analysis target point in time is June 30, 2030, the first analysis period is 3 months, and the second analysis period is 30 years, the standard deviation may be calculated based on the difference between 30 resource quantity deviations and the climatic average deviation. The square of the standard deviation may be obtained by dividing the squares of the differences between each of the 30 resource quantity deviations and the climatic average deviation by 30.

[0059] According to an embodiment, the operation of calculating a wind resource index may include calculating a wind resource index based on a value obtained by dividing the resource quantity deviation at the analysis target point in time by the standard deviation. For example, the wind resource index may be a value obtained by dividing the resource quantity deviation at the analysis target point in time by the previously calculated standard deviation. The wind resource index can quantitatively, objectively, and intuitively express the relative wind resource quantity in the analysis target area from the perspective of wind power generation resources.

[0060] In an embodiment, the first analysis period may be set to correspond to the length of any one of the seasons in the analysis target region. For example, in a climate with four seasons per year, a three-month period may be set as the first analysis period. This may enable analysis of wind power data (110) on a seasonal basis. In an embodiment, the first analysis period may be adjusted to correspond to the actual season length. For example, in cases where summer and winter periods are long, the first analysis period may be set to be longer than three months / 90 days.

[0061] According to an embodiment, the processor (122) may be configured to display the relative resource amount of the analysis target area by dividing the wind resource index into sections by executing commands stored in the memory (121). The distribution of the wind resource index may have a pattern similar to a Gaussian normal distribution. The sections for dividing the wind resource index may be set to statistically significant values ​​or intuitive values. According to an embodiment, the wind resource index may be displayed together with the location of the analysis target area on a map. According to an embodiment, the wind resource index may be expressed in the analysis target area on the map through black and white shading or color.

[0062] Figure 3 illustrates a conventional method for estimating wind power resources based on daily wind speed data.

[0063] Referring to FIG. 3, a conventional method of estimating wind power resources based on daily wind speed data can be performed by the first model (320). The first model (320) can calculate wind power resources based on daily wind speed data (310).

[0064] In the first model (320) according to the conventional method, when calculating the average or accumulated value of wind speed, an arbitrary selection period (321) arbitrarily selected by the researcher may be utilized, and the arbitrary selection period (321) may not represent a meaningful climatic time scale. In addition, the reference data for creating a control group that serves as a basis for comparison may be calculated based on a fixed reference period (322). In other words, the period of the reference data may be a fixed period regardless of the time point of analysis.

[0065] FIG. 4 illustrates a method for calculating a wind resource index using an energy analysis device according to some embodiments.

[0066] Referring to FIG. 4, a method of calculating a wind resource index (130) using an energy analysis device (120) can be performed using a second model (420). The second model (420) can calculate a wind resource index (430) based on daily wind speed data (410). Calculation of the wind resource index (430) can be performed using a series of formulas.

[0067] For the second model (420) by the energy analysis device (120), the time scale for calculating the average or accumulated value of wind speed values ​​can be set to a seasonal scale (421). The seasonal scale (421) can correspond to the first analysis period, which can correspond to 3 months or 90 days in a climate with 4 seasons per year, and can be adjusted to reflect the actual length of each season.

[0068] In addition, in the case of the second model (420) by the energy analysis device (120), the reference data for generating a control group that serves as a basis for comparison may be an adaptive reference period (422), and according to this, the start and end points of the period of the reference data may vary depending on the analysis target time point. In addition, the second model (420) can produce a wind resource index (430), and unlike the conventional model in which the wind resource amount is simply calculated through deviation calculation, this can quantitatively, objectively, and intuitively express the relative resource amount of wind.

[0069] FIG. 5 illustrates a specific process for calculating a wind resource index based on wind power data according to some embodiments.

[0070] Referring to FIG. 5, a specific process for calculating a wind resource index can be performed by a second model (420). The second model (420) can include formulas that are calculated sequentially.

[0071] The second model (420) can process daily wind speed data (510) to sequentially calculate resource amount (520), climatic average resource amount (530), deviation (540), climatic average deviation (550), standard deviation (560), and wind resource index (570).

[0072]

[0073] The resource amount (520) can be calculated according to mathematical formula 1. When the analysis target time is t, the wind speed values ​​for a period of 3 months or 90 days with t as the end point can be added up.

[0074]

[0075] According to mathematical expression 2, the climatic average resource amount (530) can be calculated. The second analysis period for calculating the climatic average resource amount (530) may be 30 years. The analysis target time point t may be composed of the year y (2030, 2029, ...) and the date d (1, 2, 3, ..., 365). The current year corresponding to the analysis target time point t may be expressed as yt. The average of 30 resource amounts for the first analysis period (e.g., April 1 to June 30) for 30 years according to the second analysis period may be calculated, and the value may be the climatic average resource amount (530).

[0076]

[0077] The deviation (540) can be calculated according to mathematical formula 3. 30 values ​​representing the deviation (540) can be calculated based on 30 values ​​of the resource amount (520) and the climatic average resource amount (530).

[0078]

[0079] The climatic mean deviation (550) can be calculated according to mathematical formula 4. The average of 30 values ​​representing the deviation (540) can be calculated, and that value can be the climatic mean deviation (550).

[0080]

[0081] The standard deviation (560) can be calculated according to mathematical expression 5. The standard deviation (560) can be calculated based on the difference between each of the 30 values ​​of the deviation (540) and the climatic mean deviation (550).

[0082]

[0083] A wind resource index (570) can be calculated according to mathematical formula 6. The wind resource index (570) can be obtained by dividing the deviation (540) of the analysis target time point t by the standard deviation (560) of the analysis target time point t.

[0084] Figures 6 to 9 illustrate graphs representing daily wind speed data, resource amount, and wind resource index according to some embodiments.

[0085] Referring to FIG. 6, a graph (600) representing daily wind speed data may be illustrated. The horizontal axis of the graph (600) may represent a date in units of one day, and the vertical axis may represent wind speed. The unit of the vertical axis wind speed may be m / s. For example, the daily wind speed data of the graph (600) may be based on a wind resource map provided by the Korea Meteorological Administration (KMA).

[0086] Referring to FIG. 7, a graph (700) representing resource quantities may be illustrated. The horizontal axis of the graph (700) may represent daily dates, and the vertical axis may represent wind resource quantities representing the sum of wind speed values ​​over a first analysis period. For example, to represent seasonal characteristics, the first analysis period may be three months or 90 days, and the first analysis period may be adjusted to reflect the actual season length.

[0087] Referring to FIG. 8, a graph (800) representing a wind power resource index may be illustrated. The horizontal axis of the graph (800) may represent daily dates, and the vertical axis may represent a wind power resource index calculated by sequential mathematical operations. Unlike the graph (700) of FIG. 7, where the wind power resource amount represents a non-intuitive numerical value, the wind power resource index can quantitatively, objectively, and intuitively express the relative wind power resource amount from the perspective of wind power generation resources.

[0088] FIG. 9 illustrates a table that divides the wind resource index into sections to indicate relative resource amounts according to some embodiments.

[0089] Referring to FIG. 9, a table (900) may be illustrated that divides the wind resource index into sections to indicate relative resource amounts. The table (900) may divide the values ​​of the wind resource index into any one of seven sections.

[0090] The wind resource index can be expressed in a form similar to a standard value according to a Gaussian normal distribution. For example, if the wind resource index is 1.96, it can correspond to 95% of the total, and if the wind resource index is 2.58, it can correspond to 99% of the total. According to an embodiment, the boundary values ​​for distinguishing the wind resource index can be set to statistical values ​​such as 1.96, 2.58, etc. According to an embodiment, different colors or different black and white brightness values ​​can be assigned to multiple sections for distinguishing the wind resource index, thereby allowing the size of the wind resource index to be visually expressed.

[0091] FIG. 10 illustrates steps of configuring an energy analysis method according to some embodiments.

[0092] Referring to FIG. 10, the energy analysis method (1000) may include steps (1010) to (1030). However, the present invention is not limited thereto, and some steps may be omitted or other general steps may be added, and the steps of the energy analysis method (1000) may be executed in a different order than the illustrated order.

[0093] The energy analysis method (1000) may be composed of steps that are processed in a time-series manner in the energy analysis device (120). Therefore, even if the content is omitted below, the content described above for the energy analysis device (120) may be equally applied to the energy analysis method (1000).

[0094] Steps (1010) to (1030) of the energy analysis method (1000) can be performed by the memory (121) and processor (122) of the energy analysis device (120).

[0095] In step (1010), the energy analysis device (120) may perform a step of calculating the resource amount at the analysis target point in time by adding up the wind speed values ​​of days belonging to the first analysis period having the analysis target point in time as the end point based on wind power data of the analysis target area.

[0096] In step (1020), the energy analysis device (120) can perform a step of calculating past year resource amounts corresponding to past years belonging to a second analysis period having the analysis target time point as an end point.

[0097] In step (1030), the energy analysis device (120) may perform a step of calculating a wind power resource index at the analysis target point in time based on the resource amount at the analysis target point in time and the resource amounts of past years.

[0098] According to an embodiment, the energy analysis method (1000) may be implemented in the form of a computer program stored on a computer-readable storage medium. That is, the computer program may include instructions for implementing the energy analysis method (1000), and the instructions of the program may be stored on the computer-readable storage medium. The computer program may include a mobile application.

[0099] According to an embodiment, the computer-readable storage medium may include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute computer program instructions such as ROMs, RAMs, flash memories, and the like. The computer program instructions may include machine language codes generated by a compiler and high-level language codes that can be executed by a computer using an interpreter, etc.

[0100] The terms "include," "comprise," or "have" used herein, unless otherwise specifically stated, imply that the corresponding component may be included, and therefore should be interpreted to include other components rather than to exclude other components. All terms, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiments disclosed in this document pertain, unless otherwise defined. Commonly used terms, such as terms defined in dictionaries, should be interpreted to be consistent with their contextual meaning in the relevant art, and shall not be interpreted in an idealized or overly formal sense, unless explicitly defined in this document.

[0101] The above description is merely an example of the technical idea disclosed in this document, and those skilled in the art to which the embodiments disclosed in this document pertain may make various modifications and variations without departing from the essential characteristics of the embodiments disclosed in this document. Therefore, the embodiments disclosed in this document are not intended to limit the technical idea of ​​the embodiments disclosed in this document, but to explain it, and the scope of the technical idea disclosed in this document is not limited by these embodiments. The scope of protection of the technical idea disclosed in this document should be interpreted by the claims below, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of rights of this document.

Claims

1. Processor; and When executed by said processor, said processor: An operation of calculating the resource amount at the analysis target point in time by adding up the wind speed values ​​of the days belonging to the first analysis period with the analysis target point as the end point based on the wind power data of the analysis target area. An operation of calculating past year resource amounts corresponding to past years belonging to a second analysis period having the above analysis target time point as an end point, and An energy analysis device comprising a memory configured to store commands that cause operations to be performed, including an operation of calculating a wind power resource index at the analysis target point in time based on the resource amount at the analysis target point in time and the resource amounts of past years; 2. In paragraph 1, The operation of calculating the above wind resource index is: An operation of calculating the climatic average resource amount at the time of the analysis target based on the resource amount at the time of the analysis target and the average of the resource amounts of the past years; and An energy analysis device comprising an operation of calculating the wind resource index based on the above climatic average resource amount.

3. In paragraph 2, The operation of calculating the above wind resource index is: An operation of calculating the resource amount deviation at the time of analysis by subtracting the climatic average resource amount from the resource amount at the time of analysis; and An energy analysis device comprising an operation of calculating the wind power resource index based on the resource amount deviation.

4. In paragraph 3, The operation of calculating the above wind resource index is: An operation of calculating past year resource amount deviations corresponding to past years belonging to the second analysis period; An operation of calculating the climatic average deviation at the analysis target time based on the resource amount deviation at the analysis target time and the average of the resource amount deviations of the past years; and An energy analysis device comprising an operation of calculating the wind resource index based on the above climatic average deviation.

5. In paragraph 4, The operation of calculating the above wind resource index is: An operation of calculating the standard deviation of the resource amount deviation at the time of the analysis target and the resource amount deviations of the past years based on the above climatic average deviation; and An energy analysis device comprising an operation of calculating the wind resource index based on the standard deviation.

6. In paragraph 5, The operation of calculating the above wind resource index is: An energy analysis device including an operation of calculating the wind power resource index based on a value obtained by dividing the resource amount deviation at the analysis target time by the standard deviation.

7. In paragraph 1, An energy analysis device, wherein the first analysis period is set to correspond to the length of one of the seasons of the analysis target region.

8. In paragraph 1, An energy analysis device, wherein the above operations further include an operation of dividing the wind resource index into sections and displaying the relative resource amount of the analysis target area.

9. A step of calculating the resource amount at the analysis target point in time by adding up the wind speed values ​​of the dates belonging to the first analysis period with the analysis target point as the end point based on the wind power data of the analysis target area; A step of calculating past year resource amounts corresponding to past years belonging to a second analysis period having the above analysis target time point as an end point; and An energy analysis method comprising a step of calculating a wind power resource index at the analysis target point in time based on the resource amount at the analysis target point in time and the resource amounts of past years.

10. In paragraph 9, The steps for calculating the above wind resource index are: A step of calculating the climatic average resource amount at the analysis target point in time based on the resource amount at the analysis target point in time and the average of the resource amounts of the past years; and An energy analysis method comprising a step of calculating the wind resource index based on the climatic average resource amount.

11. In paragraph 10, The steps for calculating the above wind resource index are: A step of calculating the resource amount deviation at the analysis target time by subtracting the climatic average resource amount from the resource amount at the analysis target time; and An energy analysis method comprising a step of calculating the wind power resource index based on the resource amount deviation.

12. In paragraph 11, The steps for calculating the above wind resource index are: A step of calculating past year resource quantity deviations corresponding to past years belonging to the second analysis period; A step of calculating the climatic average deviation at the analysis target time based on the resource quantity deviation at the analysis target time and the average of the resource quantity deviations of the past years; and An energy analysis method comprising a step of calculating the wind resource index based on the above climatic average deviation.

13. In paragraph 12, The steps for calculating the above wind resource index are: A step of calculating the standard deviation of the resource quantity deviation at the time of the analysis target and the resource quantity deviations of the past years based on the above climatic average deviation; and An energy analysis method comprising a step of calculating the wind resource index based on the standard deviation.

14. In paragraph 13, The steps for calculating the above wind resource index are: An energy analysis method comprising a step of calculating the wind power resource index based on a value obtained by dividing the resource amount deviation at the analysis target time by the standard deviation.

15. In paragraph 9, An energy analysis method, wherein the first analysis period is set to correspond to the length of one of the seasons of the analysis target region.

16. In paragraph 9, An energy analysis method further comprising a step of dividing the above wind power resource index into sections and displaying the relative resource amount of the analysis target area.

17. When executed by a processor, said processor: An operation of calculating the resource amount at the analysis target point in time by adding up the wind speed values ​​of the days belonging to the first analysis period with the analysis target point as the end point based on the wind power data of the analysis target area. An operation of calculating past year resource amounts corresponding to past years belonging to a second analysis period having the above analysis target time point as an end point, and A computer program stored in a computer-readable medium, which stores commands that cause operations to be performed, including an operation of calculating a wind resource index at the time of the analysis target based on the resource amount at the time of the analysis target and the resource amounts of past years.

18. In paragraph 17, The operation of calculating the above wind resource index is: An operation of calculating the climatic average resource amount at the time of the analysis target based on the resource amount at the time of the analysis target and the average of the resource amounts of the past years; and A computer program stored in a computer-readable medium, comprising an operation of calculating the wind resource index based on the climatic average resource amount.

19. In paragraph 18, The operation of calculating the above wind resource index is: An operation of calculating the resource amount deviation at the time of analysis by subtracting the climatic average resource amount from the resource amount at the time of analysis; and A computer program stored in a computer-readable medium, comprising an operation of calculating the wind resource index based on the resource amount deviation.

20. In paragraph 19, The operation of calculating the above wind resource index is: An operation of calculating past year resource amount deviations corresponding to past years belonging to the second analysis period; An operation of calculating the climatic average deviation at the analysis target time based on the resource amount deviation at the analysis target time and the average of the resource amount deviations of the past years; and A computer program stored in a computer-readable medium, comprising an operation of calculating the wind resource index based on the climatic average deviation.

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