Method for comprehensively evaluating wave energy in region

Abstract

The invention discloses a method for comprehensively evaluating wave energy in a region, which belongs to the technical field of wave energy, and comprises the following steps: obtaining a wave numerical model, and obtaining the effective wave height and the average period of waves in a research region in combination with terrain and reanalysis wind field data; calculating the average wave energy flux density and the average wave energy effective wave time according to the effective wave height and the average period of the wave; calculating a wave energy variation coefficient through the average wave energy flow density; and finally, calculating a resource comprehensive score of the wave energy through the average wave energy flow density, the average wave energy effective wave time and the wave energy variation coefficient. According to the calculation method, the available hours, the stability and the like are considered at the same time, so that the resource comprehensive score calculation result of the wave energy is more scientific and reasonable.

Description

Technical Field

[0001] The present invention relates to the field of wave energy technology, in particular to a method for comprehensive evaluation of wave energy in a region. Background Art

[0002] As a type of renewable clean energy, wave energy has a wide distribution range and large reserves. Vigorously developing renewable energy such as wave energy is in line with the goals of high-quality sustainable development and low-carbon green development.

[0003] Early wave energy resource assessments were mainly based on field observations, which were unable to obtain long-term and large-scale wave energy resource results. With the development of marine technology, especially the development of the third-generation wave numerical models, the use of numerical models such as SWAN, MIKE SW and WAWVWATCHⅢ has become the main research method. At the same time, the research focuses mainly on the magnitude and the monthly, seasonal and annual distribution characteristics. However, there is little research on factors such as effective wave time and coefficient of variation, and there is a lack of comprehensive evaluation indicators. Summary of the Invention

[0004] The purpose of the present invention is to provide a comprehensive evaluation method for wave energy in a region. By obtaining the effective wave height and average period of waves in the study area, and then calculating the average wave energy flux density, the average wave energy effective wave time and the wave energy variation coefficient, a comprehensive score of wave energy resources is obtained, which is conducive to the comprehensive evaluation of the wave energy in the study area and related locations from multiple aspects such as energy flux density, available hours and stability.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention provides a method for comprehensive assessment of wave energy in a region, comprising the following:

[0007] Based on the pre-built wave numerical model, combined with topography and reanalysis wind field data, the significant wave height and average period of waves in the study area are obtained;

[0008] Calculate the average wave energy flux density and the average wave energy effective wave time according to the significant wave height and average period of the wave;

[0009] Calculating the wave energy variation coefficient based on the average wave energy flux density;

[0010] A comprehensive assessment of the wave energy in the area is performed based on the average wave energy flux density, the average wave energy effective wave time and the wave energy variation coefficient.

[0011] In practical applications, traditional wave energy research focuses primarily on the magnitude of energy flux density, ignoring factors such as available hours and stability, and lacks comprehensive evaluation indicators. This paper calculates a comprehensive wave energy resource score by comprehensively considering the energy flux density, effective wave time, and coefficient of variation of the wave energy in the study area.

[0012] Optionally, obtaining a numerical wave model to determine the significant wave height and mean period of waves in the study area includes using CFSR reanalysis wind data in combination with the global topographic dataset ETOPO1 to build a numerical wave model, and collecting measured data for calibration and verification to determine the wave height and mean period of waves in the study area. Other reanalysis wind data may be used as wind data, and other topographic datasets may be used as topographic data.

[0013] Optionally, the wave numerical model adopts a third-generation numerical model that takes wind power into consideration, and the calculation time is not less than ten years, that is, the total simulation time through the numerical model is not less than ten years, and the numerical output frequency is one hour.

[0014] Optionally, the wave energy flux density is calculated using the significant wave height and average period, and the average wave energy flux density is obtained by calculating using the following formula:

[0015] P i,j = 0.5 × H i,j 2 × T i,j ,

[0016] ,

[0017] Where, P i,j is the wave energy flux density at calculation point j at time i, in kW / m, j is the calculation point number, i is a moment at calculation point j, the value range of i is 1 to n, n is the total number of hours at the calculation point in at least 10 years, H i,j is the effective wave height at point j at time i, in meters, T i,j is the average period of point j at time i, in seconds; is the average wave energy flux density at calculation point j, in kW / m.

[0018] Optionally, the wave energy effective wave time is the cumulative number of hours in a year in which the effective wave height of waves ranges from 1 to 4 m and the average period is greater than 3 s. The average wave energy effective wave time is calculated using the wave energy effective wave time, and the average wave energy effective wave time is calculated using the following formula:

[0019] × 8760,

[0020] Where, is the average effective wave time at calculation point j, in h; j is the number of the calculation point, i is a moment at the calculation point j, the value of i ranges from 1 to n, and n is the total number of hours at the calculation point for at least 10 years; It is the effective wave time of calculating point j at time i, and the unit is h.

[0021] Optionally, the wave energy variation coefficient is calculated using the wave energy flux density, and the wave energy variation coefficient is obtained by calculating using the following formula:

[0022] ,

[0023] Where, is the coefficient of variation of calculation point j.

[0024] Optionally, the comprehensive assessment of wave energy in the region based on the average wave energy flux density, the average wave energy effective wave time, and the wave energy variation coefficient includes:

[0025] Calculating a comprehensive resource score of wave energy based on the average wave energy flux density, the average wave energy effective wave time, and the wave energy variation coefficient;

[0026] Comprehensively evaluate the wave energy in the region based on the comprehensive resource score;

[0027] The comprehensive resource score is calculated using the following formula:

[0028] M j = S j / MAX( ) ×100,

[0029] Where: M j The comprehensive resource score of the calculation point j is calculated using a percentage system; S j is the comprehensive coefficient of calculation point j; MAX ( ) is the maximum comprehensive coefficient of the study area;

[0030] S j =μ1× / MAX( )+μ2× / MAX( ) -μ3× / MAX( ),

[0031] Where μ1, μ2, and μ3 are weight coefficients, μ1+μ2+μ3=1; MAX( ) is the maximum average wave energy flux density in the study area, in kW / m; MAX ( ) is the maximum average wave energy effective wave time in the study area, in h; MAX ( ) is the maximum coefficient of variation within the study area;

[0032] In a second aspect, the present invention provides a system for comprehensive assessment of wave energy in a region, comprising:

[0033] The model building module is used to obtain the significant wave height and average period of waves in the study area based on a pre-built wave numerical model combined with terrain and reanalysis wind field data;

[0034] a calculation module, configured to calculate an average wave energy flux density and an average wave energy effective wave time according to the significant wave height and the average period of the wave, and to calculate a wave energy variation coefficient according to the average wave energy flux density;

[0035] An evaluation module is used to comprehensively evaluate the wave energy in the area based on the average wave energy flow density, the average wave energy effective wave time and the wave energy variation coefficient.

[0036] In a third aspect, the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon, characterized in that when the computer program / instruction is executed by a processor, the steps of the method for comprehensive assessment of wave energy in a region described in the first aspect are implemented.

[0037] In a fourth aspect, the present invention provides a device for comprehensive assessment of wave energy in a region, comprising:

[0038] Memory, used to store computer programs / instructions;

[0039] A processor is used to execute the computer program / instructions to implement the steps of the method for comprehensive assessment of wave energy in a region as described in the first aspect. Beneficial effects

[0040] This paper comprehensively analyzes wave energy by considering factors such as wave energy flux density, effective wave duration, and coefficient of variation. It proposes a wave energy resource evaluation method based on a multi-factor weighted coefficient approach, encompassing aspects such as wave energy flux density magnitude, available hours, and stability. This method provides a more accurate assessment of wave energy. This approach avoids relying solely on flux density magnitude for the study area, while simultaneously taking into account factors such as available hours and stability, resulting in a more scientific and rational evaluation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Shown is a schematic flow chart of the method for comprehensive assessment of wave energy in a region according to the present invention;

[0042] Figure 2 Schematic diagram showing the comparison between the wave height simulation results of the wave numerical model of the present invention and the data of buoy 1;

[0043] Figure 3 Schematic diagram showing the comparison between the wave numerical model spectrum peak period simulation results of the present invention and the data of buoy 1;

[0044] Figure 4 Schematic diagram showing the comparison between the wave height simulation results of the wave numerical model of the present invention and the data of buoy 2;

[0045] Figure 5 Schematic diagram showing the comparison between the wave numerical model spectrum peak period simulation results of the present invention and the data of buoy 2;

[0046] Figure 6 Schematic diagram showing the comparison between the wave height simulation results of the wave numerical model of the present invention and the data of buoy 3;

[0047] Figure 7 Schematic diagram comparing the spectrum peak period simulation results of the wave numerical model of the present invention with the data of buoy 3. DETAILED DESCRIPTION

[0048] The following is a further description with reference to the accompanying drawings and specific embodiments. It should be understood that in the description of the present invention, the terms "first," "second," etc. are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Therefore, a feature designated "first," "second," etc. may explicitly or implicitly include one or more of the features.

[0049] Example 1

[0050] This embodiment introduces a comprehensive assessment method for wave energy in a region, which specifically includes the following contents:

[0051] Based on the pre-built wave numerical model, combined with topography and reanalysis wind field data, the significant wave height and average period of waves in the study area are obtained;

[0052] Calculate the average wave energy flux density and the average wave energy effective wave time according to the significant wave height and average period of the wave;

[0053] Calculating the wave energy variation coefficient based on the average wave energy flux density;

[0054] A comprehensive assessment of the wave energy in the area is performed based on the average wave energy flux density, the average wave energy effective wave time and the wave energy variation coefficient.

[0055] In practical applications, traditional wave energy research focuses primarily on the magnitude of energy flux density, ignoring factors such as available hours and stability, resulting in a lack of comprehensive evaluation indicators. This present invention calculates a comprehensive wave energy resource score by comprehensively considering the energy flux density, effective wave duration, and coefficient of variation of the wave energy in the study area. Based on this calculated comprehensive resource score, a comprehensive assessment of wave energy is conducted. Because the present method takes both available hours and stability into account, the calculation results of the comprehensive wave energy resource score are more scientific and reasonable.

[0056] Example 2

[0057] Based on Example 1, this example introduces a specific implementation process of a comprehensive evaluation method for wave energy in a region, such as Figure 1 As shown, specifically including the following:

[0058] The method of obtaining a wave numerical model and obtaining the significant wave height and average period of waves in the study area includes using CFSR reanalysis wind field data, combining the global topographic dataset ETOPO1, building a wave numerical model, and collecting measured data for calibration and verification to obtain the significant wave height and average period of waves in the study area.

[0059] In this example, the wave numerical model calculation range is a 42°×42° rectangular area, with a longitude range of 100°E-142°E and a latitude range of 0°-42°N. This area covers China's coastal areas and its offshore areas. Verification was also conducted using field data collected from three offshore buoys. The coordinates of the three buoys are: Buoy 1 (122°10′E, 34°00′N), Buoy 2 (122°30′E, 33°10′N), and Buoy 3 (126°20′E, 28°10′N).

[0060] like Figure 2-Figure 7 As shown in the figure, it is a schematic diagram of the comparative analysis of the measured wave element data of the three buoys, namely the wave height and spectral peak period, and the wave numerical model simulation data. The spectral peak period is about 1.2 times the average period. It can be seen that the trend of the wave numerical model simulation results is basically consistent with the measured data of the three buoys, and the values are also well consistent, indicating that the wave numerical model can more accurately reflect the wave distribution in the study area.

[0061] The wave numerical model adopts a third-generation numerical model that takes wind power into consideration, with a calculation time of no less than ten years and a numerical output frequency of one hour.

[0062] The wave energy flux density is calculated by the significant wave height and the average period. The average wave energy flux density is obtained by the following formula:

[0063] P i,j = 0.5 × Hi,j 2 × T i,j ,

[0064] ,

[0065] Where, P i,j is the wave energy flux density at calculation point j at time i, in kW / m, j is the calculation point number, i is a moment at calculation point j, the value range of i is 1 to n, n is the total number of hours at the calculation point in at least 10 years, H i,j is the effective wave height at point j at time i, in meters, T i,j is the average period of point j at time i, in seconds; is the average wave energy flux density at calculation point j, in kW / m.

[0066] In this embodiment, the average wave energy flux density is calculated and analyzed based on a selected coastal area of China of key concern, which is specifically a 19°×31° rectangular area with a longitude range of 105°E-124°E and a latitude range of 10°N-41°N.

[0067] The effective wave time of wave energy is calculated by using the effective wave height and the average period, which is the cumulative number of hours in a year in which the effective wave height of waves is in the range of 1 to 4 meters and the average period is greater than 3 seconds. When the average effective wave time is calculated by using the effective wave time of wave energy, the average effective wave time of wave energy is calculated by the following formula:

[0068] × 8760,

[0069] Where, is the average effective wave energy of the calculation point j, in h; j is the number of the calculation point, i is a moment in time at the calculation point j, the value of i ranges from 1 to n, and n is the total number of hours at the calculation point in at least 10 years; It is the effective wave time of calculating point j at time i, and the unit is h.

[0070] In this embodiment, the coastal area of China is further selected for analysis, which is a rectangular area of 19°×31°, with a longitude range of 105°E - 124°E and a latitude range of 10°N - 41°N. The effective wave time of wave energy is calculated using the above formula in this area.

[0071] The wave energy variation coefficient is calculated by the wave energy flux density, and the wave energy variation coefficient is obtained by the following formula:

[0072] ,

[0073] Where, is the coefficient of variation of calculation point j.

[0074] In this embodiment, the coastal area of China is further selected for analysis, which is a rectangular area of 19°×31°, with a longitude range of 105°E - 124°E and a latitude range of 10°N - 41°N. The wave energy variation coefficient is calculated using the above formula in this area.

[0075] The comprehensive assessment of wave energy in the region based on the average wave energy flux density, average wave energy effective wave time and wave energy variation coefficient includes:

[0076] Calculating a comprehensive resource score of wave energy based on the average wave energy flux density, the average wave energy effective wave time, and the wave energy variation coefficient;

[0077] Comprehensively evaluate the wave energy in the region based on the comprehensive resource score;

[0078] The comprehensive resource score is calculated using the following formula:

[0079] M j = S j / MAX( ) ×100,

[0080] Where: M j The comprehensive resource score of the calculation point j is calculated using a percentage system; S j is the comprehensive coefficient of calculation point j; MAX ( ) is the maximum comprehensive coefficient of the study area;

[0081] S j =μ1× / MAX( )+μ2× / MAX( ) -μ3× / MAX( ),

[0082] Where μ1, μ2, and μ3 are weight coefficients, μ1+μ2+μ3=1; MAX( ) is the maximum average wave energy flux density in the study area, in kW / m; MAX ( ) is the maximum average wave energy effective wave time in the study area, in h; MAX ( ) is the maximum coefficient of variation within the study area;

[0083] In this embodiment, a coastal area of China is further selected for analysis, which is a rectangular area of 19°×31° with a longitude range of 105°E-124°E and a latitude range of 10°N-41°N. In this area, the wave energy calculation formula using the weight coefficient method proposed in the present invention is used to calculate the comprehensive wave energy score in the embodiment based on the average wave energy flux density, the average wave energy effective wave time, and the wave energy variation coefficient.

[0084] Example 3

[0085] This embodiment introduces a comprehensive wave energy assessment system within a region, including:

[0086] The model building module is used to obtain the significant wave height and average period of waves in the study area based on a pre-built wave numerical model combined with terrain and reanalysis wind field data;

[0087] a calculation module, configured to calculate an average wave energy flux density and an average wave energy effective wave time according to the significant wave height and the average period of the wave, and to calculate a wave energy variation coefficient according to the average wave energy flux density;

[0088] An evaluation module is used to comprehensively evaluate the wave energy in the area based on the average wave energy flux density, the average wave energy effective wave time and the wave energy variation coefficient.

[0089] Example 4

[0090] This embodiment introduces a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method for comprehensive assessment of wave energy in a region as described in Embodiment 1 or 2 are implemented.

[0091] Example 5

[0092] This embodiment introduces a device for comprehensive assessment of wave energy in a region, including:

[0093] Memory, used to store computer programs / instructions;

[0094] A processor is used to execute the computer program / instructions to implement the steps of the method for comprehensive assessment of wave energy in a region introduced in embodiment 1 or 2.

[0095] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0099] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which are all protected by the present invention.

Claims

1. A comprehensive assessment method for wave energy in a region, characterized by: include: Based on the pre-built wave numerical model, combined with topography and reanalysis wind field data, the significant wave height and average period of waves in the study area are obtained; Calculate the average wave energy flux density and the average wave energy effective wave time according to the effective wave height and the average period of the wave; Calculating the wave energy variation coefficient based on the average wave energy flux density; A comprehensive assessment of the wave energy in the area is performed based on the average wave energy flux density, the average wave energy effective wave time and the wave energy variation coefficient.

2. The method for comprehensive assessment of wave energy in a region according to claim 1, characterized in that: The method for constructing the wave numerical model includes using reanalyzed wind field data in combination with a global terrain dataset to build a wave numerical model, and collecting measured data for calibration and verification.

3. The method for comprehensive assessment of wave energy in a region according to claim 2, characterized in that: The wave numerical model adopts a third-generation numerical model that takes wind power into consideration. The total simulation time by the numerical model is no less than ten years, and the numerical output frequency is one hour.

4. The method for comprehensive assessment of wave energy in a region according to claim 1, characterized in that: The average wave energy flux density is calculated by the following formula: P i,j = 0.5 × H i,j 2 × T i,j , ， Where, P i,j is the wave energy flux density at the calculation point j at time i, i ranges from 1 to n, n is the total number of hours at the calculation point for at least 10 years, H i,j To calculate the effective wave height at point j at time i, T i,j is the average period of calculation point j at time i; is the average wave energy flux density at calculation point j.

5. The method for comprehensive assessment of wave energy in a region according to claim 1, characterized in that: The wave energy effective wave time is the cumulative number of hours in a year when the effective wave height of waves ranges from 1 to 4 meters and the average period is greater than 3 seconds. The average wave energy effective wave time is calculated using the wave energy effective wave time. The average wave energy effective wave time is calculated using the following formula: × 8760， Where, is the average wave energy at the calculation point j. The effective wave time i ranges from 1 to n, where n is the total number of hours at the calculation point in a period of not less than 10 years; is the effective wave time of wave energy at point j at time i.

6. The method for comprehensive assessment of wave energy in a region according to claim 4, characterized in that: The wave energy variation coefficient is calculated by the following formula: ， Where, is the coefficient of variation of the calculation point j.

7. The method for comprehensive assessment of wave energy in a region according to claim 6, characterized in that: Comprehensive assessment of wave energy in the region based on the average wave energy flux density, average wave energy effective wave time and wave energy variation coefficient includes: Calculating a comprehensive resource score of wave energy based on the average wave energy flux density, the average wave energy effective wave time, and the wave energy variation coefficient; Comprehensively evaluate the wave energy in the region based on the comprehensive resource score; The comprehensive resource score is calculated using the following formula: M j = S j / MAX( )×100, Where: M j The comprehensive resource score of the calculation point j is calculated using a percentage system; S j is the comprehensive coefficient of calculation point j; MAX ( ) is the maximum comprehensive coefficient of the study area; S j =μ1× / MAX( )+μ2× / MAX( )-μ3× / MAX( ), Where μ1, μ2, and μ3 are weight coefficients, μ1+μ2+μ3=1; MAX( ) is the maximum average wave energy flow density in the study area; MAX ( ) is the maximum average wave energy effective wave time in the study area; MAX ( ) is the maximum coefficient of variation in the study area.

8. A comprehensive wave energy assessment system in a region, characterized by: include: The model building module is used to obtain the significant wave height and average period of waves in the study area based on a pre-built wave numerical model combined with terrain and reanalysis wind field data; a calculation module, configured to calculate an average wave energy flux density and an average wave energy effective wave time according to the significant wave height and the average period of the wave, and to calculate a wave energy variation coefficient according to the average wave energy flux density; An evaluation module is used to comprehensively evaluate the wave energy in the area based on the average wave energy flow density, the average wave energy effective wave time and the wave energy variation coefficient.

9. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of the method for comprehensive assessment of wave energy in a region as described in any one of claims 1 to 7 are implemented.

10. A device for comprehensive assessment of wave energy in a region, characterized by: include: Memory, used to store computer programs / instructions; A processor is used to execute the computer program / instructions to implement the steps of the method for comprehensive assessment of wave energy in a region according to any one of claims 1 to 7.

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