A method and system for evaluating the complementary characteristics of wind and wave resource joint development

Abstract

This application discloses a method and system for evaluating the complementary characteristics of wind-wave resource co-development, relating to the field of marine renewable energy development and resource assessment technology. The method includes acquiring wind-wave resource data for the sea area to be assessed; calculating wind power density and wave power density; calculating the complementarity coefficient of wind-wave energy resources; calculating the complementarity intensity of wind-wave energy resources; calculating the wave complementarity rate; calculating the wind-wave resource reserves and proportions of each grid cell in the sea area to be assessed; calculating the wind-wave co-development index; and, based on the complementarity coefficient, complementarity intensity, wave complementarity rate, wind-wave resource reserves and proportions, and the wind-wave co-development index, achieving a comprehensive assessment of the complementary characteristics of wind-wave resource co-development. This application can comprehensively assess the complementary characteristics of wind-wave resource co-development from multiple dimensions and time scales, improving the accuracy of the assessment.

Description

Technical Field

[0001] This application relates to the field of marine renewable energy development and resource assessment technology, and in particular to a method and system for assessing the complementary characteristics of wind-wave resource co-development. Background Technology

[0002] Wave energy is a marine renewable energy source with considerable reserves. In the planning, design, and construction of wind farms and wave power plants, a comprehensive understanding of the complementary characteristics of wind and wave energy resources for joint development is essential. This is a crucial foundation for achieving rational site selection, reducing development costs, and improving development reliability. Therefore, conducting an assessment of the complementary characteristics of wind-wave resource joint development is of significant practical importance. By studying the complementarity, synergy, correlation, and volatility of wind and wave resources, and evaluating their joint development potential, is a key prerequisite for the development of wind-wave new energy sources and attracting investment.

[0003] However, most existing studies only focus on the statistical correlation or temporal complementarity between resources, lacking in-depth quantification of the complementarity strength (i.e., the extent to which one resource can compensate for the shortage of another) and the fluctuation smoothing effect. This results in incomplete and inaccurate assessments, making it difficult to provide reliable decision-making basis for the capacity allocation, optimized operation, and site selection of joint power generation units. Therefore, there is an urgent need for a method and system that can comprehensively assess the complementary characteristics of wind-wave resource joint development from multiple dimensions and time scales to improve the accuracy of the assessment of the complementary characteristics of wind-wave resource joint development. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for evaluating the complementary characteristics of joint development of wind and wave resources, which can comprehensively evaluate the complementary characteristics of joint development of wind and wave resources from multiple dimensions and time scales, thereby improving the accuracy of the evaluation.

[0005] To achieve the above objectives, this application provides the following solution.

[0006] In a first aspect, this application provides a method for evaluating the complementary characteristics of joint development of wind and wave resources, which includes the following steps.

[0007] Obtain wind-wave resource data for the sea area to be assessed; the wind-wave resource data includes: air density, wind speed, significant wave height, and mean wave period.

[0008] Based on the wind-wave resource data, wind energy power density and wave energy power density are calculated respectively.

[0009] Based on the wind energy power density and the wave energy power density, the complementarity coefficient of wind energy and wave energy resources is calculated; the complementarity coefficient includes: annual complementarity coefficient, quarterly complementarity coefficient and monthly complementarity coefficient.

[0010] The complementary strength of wind-wave energy resources is calculated based on the wind power density and the wave power density; the complementary strength includes: wind-wave complementary strength, wave-wind complementary strength, and wind-wave complementary strength.

[0011] The wave complementarity rate is calculated based on the wind power density and the wave power density.

[0012] Based on the wind energy power density and the wave energy power density, the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated are calculated respectively.

[0013] The wind-wave joint development index is calculated based on the wind power density, the wave power density, the complementarity coefficient, the complementarity strength, the wave complementarity rate, and the wind-wave resource reserves and proportions.

[0014] Based on the complementary coefficient, the complementary strength, the fluctuation complementarity rate, the wind-wave resource reserves and proportion, and the wind-wave joint development index, a comprehensive assessment of the complementary characteristics of wind-wave resource joint development is achieved.

[0015] Optionally, the wind energy power density can be calculated using the following formula.

[0016] .

[0017] in, Wind energy power density, in W / m³ 2 ; ρ Air density, unit: kg / m³ 3 ; v Wind speed, in m / s.

[0018] The wave energy power density is calculated using the following formula.

[0019] .

[0020] in, Wave energy power density, in kW / m; H s The significant wave height is expressed in meters (m). The average wave period is expressed in units of 1000 Hz. s .

[0021] Optionally, the annual complementarity coefficient can be calculated using the following formula.

[0022] .

[0023] in, The annual complementarity coefficient, Wind power density is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density is greater than or equal to the minimum exploitable threshold. The average number of hours per year, This represents the minimum exploitable threshold for wind energy power density. This represents the minimum exploitable threshold for wave energy power density. Hours per year.

[0024] The seasonal complementarity coefficient is calculated using the following formula.

[0025] .

[0026] in, The seasonal complementarity coefficient, The wind power density in each season (spring, summer, autumn, and winter) is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density is greater than or equal to the minimum exploitable threshold in each of the four seasons (spring, summer, autumn, and winter). The average number of hours per year, The number of hours for each season (spring, summer, autumn, and winter).

[0027] The monthly complementarity coefficient is calculated using the following formula.

[0028] .

[0029] in, The monthly complementarity coefficient, The wind power density for each month from January to December is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density for each month from January to December must be greater than or equal to the minimum exploitable threshold. The average number of hours per year, The number of hours for each month from January to December.

[0030] Optionally, the wind-induced wave intensity can be calculated using the following formula.

[0031] .

[0032] in, To compensate for the strength of the waves, for Wind power density at any given time, expressed in W / m³ 2 ; The annual average power density of wind energy is expressed in W / m³. 2 ; for Wave energy power density at any given time, expressed in kW / m³; The wave energy annual average power density is expressed in kW / m³. This represents the minimum exploitable threshold for wind energy power density. This represents the minimum exploitable threshold for wave energy power density. Hours per year.

[0033] The wave compensation wind intensity is calculated using the following formula.

[0034] .

[0035] in, To compensate for the wind intensity of the waves.

[0036] The wind-wave complementary strength is calculated using the following formula.

[0037] .

[0038] in, The strength is complementary to that of wind and waves.

[0039] Optionally, the fluctuation complementarity rate can be calculated using the following formula.

[0040] .

[0041] in, For the complementarity of fluctuations, The relative value of wind energy power density standard deviation The relative value of wave energy power density standard deviation The correlation coefficient between wind energy and wave energy resources.

[0042] Optionally, based on the wind energy power density and the wave energy power density, the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated are calculated respectively, specifically including the following steps.

[0043] The sea area to be evaluated is divided according to a preset spatial resolution to obtain several grid cells.

[0044] Based on the wind power density and the wave power density, the wind energy resource reserves and wave energy resource reserves of each grid cell are calculated respectively.

[0045] Based on the wind energy reserves and wave energy reserves of each grid cell, the proportion of wind energy reserves and the proportion of wave energy reserves are calculated.

[0046] Optionally, the wind energy resource reserves can be calculated using the following formula.

[0047] .

[0048] in, Indicates the first Wind energy resource reserves of each grid cell For the first The annual average wind energy power density of each grid cell, in W / m³. 2 ; For the first The area of ​​each grid cell, in m² 2 ; Pi is the mathematical constant of a circle.

[0049] The wave energy resource reserves are calculated using the following formula.

[0050] .

[0051] in, Indicates the first Wave energy resource reserves of each grid cell For the first The annual average wave energy power density of each grid cell, in kW / m.

[0052] Optionally, the proportion of wind energy resource reserves can be calculated using the following formula.

[0053] .

[0054] in, The proportion of wind energy resource reserves. Indicates the first Wind energy resource reserves of each grid cell Indicates the first Wave energy resource reserves of each grid cell.

[0055] The percentage of wave energy resource reserves is calculated using the following formula.

[0056] .

[0057] in, This represents the proportion of wave energy resource reserves.

[0058] Optionally, the wind and wave joint development index can be calculated using the following formula.

[0059] .

[0060] in, For joint development of wind and waves; The proportion of wind energy resource reserves. The proportion of wave energy resource reserves, and + =1; The annual average power density of wind energy is expressed in W / m³. 2 ; The wave energy annual average power density is expressed in kW / m³. This is a benchmark for wind energy power density, with units of W / m³. 2 ; This serves as a benchmark for wave energy power density, with units of kW / m. It serves as a normalized index for the variability of wind energy power density, and , It is a normalized index for the variability of wave energy power density, and , , They represent the first Relative value of wind power density per grid cell Standard deviation, relative value of wave energy power density Standard deviation; , These are the relative values ​​of wind power density. The maximum and minimum values ​​of the standard deviation; , These are the relative values ​​of wave energy power density. The maximum and minimum values ​​of the standard deviation; The annual complementarity coefficient; The strength is complementary to that of wind and waves; It represents the complementarity of fluctuations.

[0061] Secondly, this application provides a system for evaluating the complementary characteristics of wind-wave resource joint development. The system is used to implement the method for evaluating the complementary characteristics of wind-wave resource joint development as described in any of the first aspects. The system includes the following modules.

[0062] The data acquisition module is used to acquire wind-wave resource data of the sea area to be evaluated; the wind-wave resource data includes: air density, wind speed, significant wave height and mean wave period.

[0063] The power density calculation module is used to calculate the wind energy power density and wave energy power density based on the wind-wave resource data.

[0064] The complementarity coefficient calculation module is used to calculate the complementarity coefficient of wind energy and wave energy resources based on the wind energy power density and the wave energy power density; the complementarity coefficient includes: annual complementarity coefficient, quarterly complementarity coefficient and monthly complementarity coefficient.

[0065] The complementary strength calculation module is used to calculate the complementary strength of wind energy and wave energy resources based on the wind energy power density and the wave energy power density; the complementary strength includes: wind-wave complementary strength, wave-wind complementary strength and wind-wave complementary strength.

[0066] The wave complementarity calculation module is used to calculate the wave complementarity based on the wind power density and the wave power density.

[0067] The resource reserve ratio calculation module is used to calculate the wind-wave resource reserves and ratios of each grid cell in the sea area to be evaluated based on the wind power density and the wave power density.

[0068] The wind-wave joint development index calculation module is used to calculate the wind-wave joint development index based on the wind power density, the wave power density, the complementarity coefficient, the complementarity intensity, the wave complementarity rate, and the wind-wave resource reserves and proportions.

[0069] The comprehensive evaluation module is used to comprehensively evaluate the complementary characteristics of wind-wave resource joint development based on the complementarity coefficient, the complementarity strength, the fluctuation complementarity rate, the wind-wave resource reserves and proportion, and the wind-wave joint development index.

[0070] According to the specific embodiments provided in this application, this application has the following technical effects.

[0071] This application provides a method and system for evaluating the complementary characteristics of wind-wave resource co-development. By calculating annual, quarterly, and monthly complementarity coefficients, it can comprehensively reveal the complementary characteristics of wind-wave resources from macro to micro levels, clearly presenting the synergistic behavior of resources at different time scales, and achieving comprehensive evaluation across multiple time scales. This provides accurate data support for long-term planning and short-to-medium-term operation of wind-wave co-development. By proposing three indicators—wind-wave compensation intensity, wave-wind compensation intensity, and wind-wave complementarity intensity—it not only explicitly verifies the existence of wind-wave resource complementarity but also precisely quantifies the magnitude and main direction of complementary energy, providing direct and quantitative decision-making basis for capacity allocation optimization and operation strategy formulation of joint power generation units. By calculating the fluctuation complementarity rate, the smoothing effect of wind-wave co-development on total power output fluctuations can be quantitatively judged. The higher the value of this indicator, the more significant the smoothing effect, providing a key technical reference for improving grid stability and promoting the grid's absorption of renewable energy. Furthermore, this application constructs a multi-dimensional indicator system encompassing wind power density, wave power density, complementarity coefficient, complementarity intensity, wave complementarity rate, resource reserves, and their proportions. It achieves comprehensive quantitative evaluation through a wind-wave joint development index, overcoming the limitations of traditional single-dimensional evaluation methods and improving the comprehensiveness and accuracy of the assessment. This makes the evaluation results more comprehensive, objective, and precise, significantly enhancing the scientific rigor and reliability of site selection and feasibility studies for wind-wave joint development projects. In addition, this application calculates wind-wave resource reserves and their proportions based on grid cells, combining various evaluation indicators to achieve spatial analysis of resource characteristics. This facilitates the accurate identification of high-quality areas for wind-wave joint development, laying a solid foundation for rational site selection, reduced development costs, and improved project reliability. Attached Figure Description

[0072] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0073] Figure 1 This is an application environment diagram of a method for evaluating the complementary characteristics of wind-wave resource joint development, provided in an embodiment of this application.

[0074] Figure 2 This is a flowchart illustrating a method for evaluating the complementary characteristics of joint development of wind and wave resources, provided as an embodiment of this application.

[0075] Figure 3 This is a schematic diagram of the structure of a wind-wave resource joint development complementary characteristic evaluation system provided in an embodiment of this application. Detailed Implementation

[0076] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0077] The purpose of this application is to provide a method and system for evaluating the complementary characteristics of wind-wave resource co-development. The core steps include "data acquisition → power density calculation → complementarity coefficient calculation → complementarity strength calculation → fluctuation complementarity rate calculation → resource reserves and proportion calculation → wind-wave co-development index calculation → comprehensive evaluation." This method can comprehensively evaluate the complementary characteristics of wind-wave resource co-development from multiple dimensions and time scales, accurately quantify the complementarity strength and fluctuation smoothing effect, improve the accuracy of the evaluation of complementary characteristics of wind-wave resource co-development, and provide a scientific basis for the planning, design, and construction of wind-wave resource co-development projects.

[0078] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0079] The method for evaluating the complementary characteristics of wind-wave resource joint development provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be set up independently, integrated into server 104, or placed in the cloud or on other servers. Terminal 102 can send wind-wave resource data of the sea area to be evaluated to server 104. After receiving the wind-wave resource data, server 104 calculates the wind power density and wave power density based on the data; calculates the complementarity coefficient of wind-wave energy resources; calculates the complementarity intensity of wind-wave energy resources; calculates the wave complementarity rate; calculates the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated; calculates the wind-wave joint development index; and, based on the complementarity coefficient, complementarity intensity, wave complementarity rate, wind-wave resource reserves and proportions, and wind-wave joint development index, achieves a comprehensive evaluation of the complementary characteristics of wind-wave resource joint development, obtaining a comprehensive evaluation result. Server 104 can feed back the obtained comprehensive evaluation result to terminal 102. In addition, in some embodiments, the method for evaluating the complementary characteristics of wind-wave resource joint development can also be implemented separately by the server 104 or the terminal 102. For example, the terminal 102 can directly perform data calculation and comprehensive evaluation processing on the wind-wave resource data of the sea area to be evaluated, or the server 104 can obtain the wind-wave resource data of the sea area to be evaluated from the data storage system and perform data calculation and comprehensive evaluation processing on the wind-wave resource data of the sea area to be evaluated.

[0080] The terminal 102 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, and IoT devices. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers, or it can be a cloud server.

[0081] In one exemplary embodiment, such as Figure 2 As shown, a method for evaluating the complementary characteristics of joint development of wind and wave resources is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps S1 to S8.

[0082] S1: Obtain wind-wave resource data for the sea area to be assessed. The wind-wave resource data includes: air density, wind speed, significant wave height, and mean wave period.

[0083] S2: Calculate the wind energy power density and wave energy power density based on the wind-wave resource data.

[0084] S3: Calculate the complementarity coefficient of wind energy and wave energy resources based on the wind energy power density and the wave energy power density. The complementarity coefficient includes: annual complementarity coefficient, quarterly complementarity coefficient, and monthly complementarity coefficient.

[0085] S4: Calculate the complementary strength of wind-wave energy resources based on the wind power density and the wave power density. The complementary strength includes: wind-wave compensation strength, wave-wind compensation strength, and wind-wave complementary strength.

[0086] S5: Calculate the wave complementarity rate based on the wind power density and the wave power density.

[0087] S6: Based on the wind energy power density and the wave energy power density, calculate the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated.

[0088] S7: The wind-wave joint development index is calculated based on the wind power density, the wave power density, the complementarity coefficient, the complementarity strength, the wave complementarity rate, and the wind-wave resource reserves and proportions.

[0089] S8: Based on the complementarity coefficient, the complementarity strength, the fluctuation complementarity rate, the wind-wave resource reserves and proportion, and the wind-wave joint development index, a comprehensive assessment of the complementary characteristics of wind-wave resource joint development is achieved.

[0090] Implementing steps S1 to S8 above allows for a comprehensive assessment of the complementary characteristics of wind-wave resource joint development from multiple dimensions and time scales, accurately quantifies the complementary strength and fluctuation smoothing effect, improves the accuracy of the assessment of the complementary characteristics of wind-wave resource joint development, and provides a scientific basis for the planning, design and construction of wind-wave resource joint development projects.

[0091] As an optional implementation method, in step S1, wind-wave resource data of the sea area to be evaluated are collected, including air density, wind speed, significant wave height and mean wave period, etc. To ensure the accuracy and reliability of the evaluation results, the data duration is not less than 10 years.

[0092] As an optional implementation, in step S2, the wind energy power density (unit: W / m³) 2 The formula for calculating is as follows.

[0093] (1).

[0094] in, Wind energy power density, in W / m³ 2 ; ρ Air density, unit: kg / m³ 3 ; vThe wind speed is expressed in m / s. The wind speed height used in this embodiment is 100m, which is the typical height of the hub in an offshore wind farm.

[0095] The formula for calculating wave energy power density (unit: kW / m) is as follows.

[0096] (2).

[0097] in, Wave energy power density, in kW / m; H s The significant wave height is expressed in meters (m). The average wave period is expressed in units of 1000 Hz. s .

[0098] As an optional implementation, step S3 involves calculating the complementarity of wind and wave energy resources using an annual complementarity coefficient. Seasonal complementarity coefficient Monthly complementarity coefficient Three indicators characterize it.

[0099] Annual complementarity coefficient This is the ratio of the number of hours within a year when the power density of wind and wave resources exceeds their respective minimum exploitable thresholds to the annual number of hours, reflecting the complementary relationship between the two within a year. Annual Complementarity Coefficient The calculation formula is as follows.

[0100] (3).

[0101] in, Wind power density is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density is greater than or equal to the minimum exploitable threshold. The average number of hours per year, This represents the minimum exploitable threshold for wind energy power density. This represents the minimum exploitable threshold for wave energy power density. In years and hours. In this embodiment... The value is 240W / m 2 , The value is set to 2kW / m.

[0102] Seasonal complementarity coefficient The seasonal complementarity coefficient is the ratio of the number of hours during which wind and wave resource power density exceeds their respective minimum exploitable thresholds to the total number of hours in a given season (spring, summer, autumn, or winter). It reflects the complementary relationship between the two within a single season. The calculation formula is as follows.

[0103] (4).

[0104] in, The wind power density in each season (spring, summer, autumn, and winter) is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density is greater than or equal to the minimum exploitable threshold in each of the four seasons (spring, summer, autumn, and winter). The average number of hours per year, The number of hours for each season (spring, summer, autumn, and winter).

[0105] Monthly complementarity coefficient This is the ratio of the number of hours within a month when the power density of wind and wave resources exceeds their respective minimum exploitable thresholds to the total number of hours in a month, reflecting the complementary relationship between the two within a month. Monthly Complementarity Coefficient The calculation formula is as follows.

[0106] (5).

[0107] in, The wind power density for each month from January to December is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density for each month from January to December must be greater than or equal to the minimum exploitable threshold. The average number of hours per year, The number of hours for each month from January to December.

[0108] As an optional implementation, step S4 calculates the complementary strength of wind and wave energy resources, including wind-wave compensation strength (i.e., the strength of wind energy supplementing wave energy), wave-wind compensation strength (i.e., the strength of wave energy supplementing wind energy), and wind-wave complementarity strength (i.e., the strength of wind-wave energy complementarity). Specifically, small waves and strong winds indicate wind-wave compensation, small winds and large waves indicate wave-wind compensation, and both strong winds and large waves indicate wind-wave complementarity. Wind-wave compensation strength characterizes the strength of wind energy supplementing wave energy when waves are small and winds are strong; wave-wind compensation strength characterizes the strength of wave energy supplementing wind energy when wind is small and waves are large; and wind-wave complementarity strength characterizes the synergistic complementary strength of the two when winds are strong and waves are large.

[0109] Wind-wave intensity The calculation formula is as follows.

[0110] (6).

[0111] in, for Wind power density at any given time, expressed in W / m³ 2 ; The annual average power density of wind energy is expressed in W / m³. 2 ; for Wave energy power density at any given time, expressed in kW / m³; The wave energy annual average power density is expressed in kW / m³. This represents the minimum exploitable threshold for wind energy power density. This represents the minimum exploitable threshold for wave energy power density. Hours per year.

[0112] Wave-following wind intensity The calculation formula is as follows.

[0113] (7).

[0114] Wind and wave complementary strength The calculation formula is as follows.

[0115] (8).

[0116] As an optional implementation, in step S5, the wave complementarity is calculated using the wave complementarity ratio. Characterization. Volatility complementarity. The wave complementarity rate is calculated based on the standard deviation of the relative values ​​of wind power density, the standard deviation of the relative values ​​of wave power density, and their correlation coefficient. The calculation formula is as follows.

[0117] (9).

[0118] in, For the complementarity of fluctuations, The relative value of wind energy power density standard deviation The relative value of wave energy power density standard deviation The correlation coefficient between wind energy and wave energy resources is denoted as , and its value ranges from [-1, 1].

[0119] As an optional implementation, in step S6, based on the wind power density and the wave power density, the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated are calculated respectively. This mainly involves calculating the wind energy resource reserves and wave energy resource reserves of each grid cell in the wind-wave joint development area, and further calculating the proportions of wind energy resource reserves and wave energy resource reserves of each grid cell in the wind-wave joint development area. Specifically, this includes the following steps.

[0120] S61: Divide the sea area to be evaluated into several grid cells according to the preset spatial resolution.

[0121] In this embodiment, the grid cell is a regularized, discretized spatial unit formed by dividing the sea area to be evaluated according to a preset spatial resolution (such as latitude and longitude intervals, fixed area size, etc.). It is the core carrier for realizing spatial analysis in the assessment of the complementary characteristics of wind and wave resource joint development. The grid cell can serve as the smallest unit for calculating wind and wave energy resource reserves. By dividing the area into grid cells, it is easy to achieve spatial discretization of resource data, decomposing continuously distributed wind and wave energy resource data into quantifiable and comparable spatial unit data. Furthermore, as the basic unit for resource reserve calculation and spatial distribution analysis of complementary characteristics, it can support cross-regional comparisons. In addition, it can also be used for the wind and wave joint development index. Spatialized calculations provide the foundation, and the evaluation results of each grid cell are used to form a spatial distribution map of the potential for joint development of resources across the entire region, providing a precise spatial basis for site selection and optimization.

[0122] S62: Calculate the wind energy resource reserves and wave energy resource reserves of each grid cell based on the wind energy power density and the wave energy power density.

[0123] S63: Calculate the proportion of wind energy reserves and the proportion of wave energy reserves based on the wind energy reserves and wave energy reserves of each grid cell.

[0124] As an optional implementation, in step S62, the wind energy resource reserves are calculated using the following formula.

[0125] (10).

[0126] in, The first [unit / item] of the joint development area of ​​wind and waves Wind energy resource reserves of each grid cell For the joint development of wind and waves in the field area The annual average wind energy power density of each grid cell, in W / m³. 2 ; For the joint development of wind and waves in the field area The area of ​​each grid cell, in m² 2 ; π is the mathematical constant pi. In this embodiment, The value is 3.14.

[0127] As an optional implementation, in step S62, the wave energy resource reserves are calculated using the following formula.

[0128] (11).

[0129] in, The first [unit / item] of the joint development area of ​​wind and waves Wave energy resource reserves of each grid cell For the joint development of wind and waves in the field area The annual average wave energy power density of each grid cell, in kW / m.

[0130] As an optional implementation, in step S63, the wind energy resource reserve ratio is calculated using the following formula.

[0131] (12).

[0132] in, This represents the proportion of wind energy resource reserves.

[0133] As an optional implementation, in step S63, the proportion of wave energy resource reserves is calculated using the following formula.

[0134] (13).

[0135] in, This represents the proportion of wave energy resource reserves.

[0136] As an optional implementation, in step S7, this embodiment uses the wind and wave joint development index. It is expressed as a dimensionless index that encompasses characteristics such as resource endowment, resource stability, and resource complementarity and synergistic fluctuations, and its calculation formula is as follows.

[0137] (14).

[0138] in, For joint development of wind and waves; The proportion of wind energy resource reserves. The proportion of wave energy resource reserves, and + =1; This is a benchmark for wind energy power density, with units of W / m³. 2 ; This serves as a benchmark for wave energy power density, measured in kW / m³. This benchmark value is taken as the critical power density value for delineating resource-rich areas. In this embodiment... The value is 500W / m 2 , The value is 6kW / m. It serves as a normalized index for the variability of wind energy power density, and , It is a normalized index for the variability of wave energy power density, and , , These represent the first and second sections of the joint development area for wind and waves. Relative value of wind power density per grid cell Standard deviation, relative value of wave energy power density Standard deviation; , These are the relative values ​​of wind power density. The maximum and minimum values ​​of the standard deviation; , These are the relative values ​​of wave energy power density. The maximum and minimum values ​​of the standard deviation; The annual complementarity coefficient; The strength is complementary to that of wind and waves; It represents the complementarity of fluctuations.

[0139] It should be noted that, taking into account the annual complementarity coefficient... It is the ratio of the number of hours in a year when the power density of wind and wave resources exceeds their respective minimum exploitable thresholds to the total number of hours in a year. It reflects the complementary relationship between the two within a year, and the wind and wave complementarity intensity. This reflects the strength of their synergy and complementarity during periods of high winds and waves; therefore, the annual complementarity coefficient is... Complementary strength to wind and waves Join the Wind and Wave Joint Development Index The calculation formula reflects the resource endowment, resource stability, and resource complementarity synergy fluctuations under a year-long, wind-wave complementary scenario. Simultaneously, other complementarity coefficients and complementarity strengths can be incorporated into subsequent evaluation and selection indicators to achieve a comprehensive assessment and optimization of the complementary characteristics of wind-wave resource joint development.

[0140] As an optional implementation, in step S8, by comparing the complementarity coefficient, complementarity intensity, wave complementarity rate, wind-wave resource reserves and proportion, and wind-wave joint development index calculated from different sea area locations of the sea area to be evaluated, a comprehensive evaluation and selection of the complementary characteristics of wind-wave resource joint development can be achieved.

[0141] As an optional implementation method, during comprehensive evaluation and selection, the wind-wave joint development index values ​​are sorted from largest to smallest according to the relationship between the wind-wave joint development index values ​​at different locations in the sea area to be evaluated. The sea area with the largest wind-wave joint development index is selected as the optimal screening result for the complementary characteristics of wind-wave resource joint development. Since the wind-wave joint development index corresponding to this sea area is the largest, it indicates that its comprehensive potential is high, its complementarity is strong, its fluctuation smoothing effect is good, and its resource endowment is excellent. Therefore, priority is given to carrying out project planning and feasibility studies.

[0142] In practical applications, the wind and wave joint development index corresponding to each sea area location can be given the highest priority based on actual needs. The magnitude of the wind and wave joint development index should be given priority, followed by a comprehensive evaluation and selection based on the actual situation of the complementarity coefficient, complementarity intensity, wave complementarity rate, wind-wave resource reserves and proportion corresponding to each sea area location, so as to meet different development and research needs.

[0143] To verify the effectiveness and feasibility of the technical solution proposed in this application, this embodiment uses the South China Sea as the sea area to be evaluated and employs the wind-wave resource joint development complementary characteristic evaluation method and system of this application for evaluation. First, data collection: air density, wind speed at 100m height, significant wave height, and mean wave period data for the South China Sea from 1990 to 2020 were collected using marine meteorological observation stations, buoy monitoring systems, and satellite remote sensing data. The data duration is 30 years, meeting the requirement of at least 10 years. The data was preprocessed to remove outliers and missing values. Next, power density calculation: wind energy power density and wave energy power density were calculated according to the formulas for wind energy power density and wave energy power density, respectively. Then, complementarity calculation: annual complementarity coefficient, spring (March-May) complementarity coefficient, and January complementarity coefficient for the South China Sea were calculated according to the formulas for annual, seasonal, and monthly complementarity coefficients, respectively. The annual complementarity coefficient is higher in the northern and eastern parts of the South China Sea, the spring complementarity coefficient is better in the southern part of the sea, and the January complementarity coefficient is relatively higher in the northeastern part of the sea. Then, the complementary strength was calculated. Based on the formulas for wind-wave compensation strength, wave-wind compensation strength, and wind-wave complementary strength, various complementary strength indices for the South China Sea were calculated. The results showed that the wind-wave compensation strength was higher in some areas of the western South China Sea, the wave-wind compensation strength was better in some areas of the south, and the wind-wave complementary strength was higher in the open eastern waters. Next, the fluctuation complementarity rate was calculated. Based on the formula for the fluctuation complementarity rate, the fluctuation complementarity rate for the South China Sea was calculated. The fluctuation complementarity rate was higher in some areas of the central South China Sea, indicating that the joint development of wind and waves in these areas had a good smoothing effect on power output fluctuations. Then, resource reserves were calculated. The South China Sea was divided into several grid cells, and the wind energy resource reserves and wave energy resource reserves, as well as their respective reserves percentages, were calculated for each grid cell. The results showed that the wind energy resource reserve percentage was higher in the northern waters, while the wave energy resource reserve percentage was relatively better in the southern waters. Finally, when calculating the wind-wave joint development index, a wind power density benchmark was set. The value is 500W / m 2 Wave energy power density benchmark The value is set to 6kW / m. Based on the formula for calculating the wind and wave joint development index, the wind and wave joint development index of each grid cell is calculated. The values ​​and results show that parts of the eastern and northern South China Sea... The values ​​are relatively high, making these areas more suitable for joint development of wind and wave resources. In the final comprehensive evaluation, the complementary characteristics of joint development of wind and wave resources in the South China Sea were comprehensively assessed by combining the calculation results and spatial distribution characteristics of the above indicators. Ultimately, the open waters in the eastern part of the South China Sea and some waters in the northern part were selected as preferred areas for joint development of wind and wave resources, providing a scientific basis for subsequent project planning, design, and construction.

[0144] Based on the same inventive concept, this application also provides a wind-wave resource joint development complementary characteristic evaluation system for implementing the aforementioned wind-wave resource joint development complementary characteristic evaluation method. The solution provided by this wind-wave resource joint development complementary characteristic evaluation system is similar to the implementation scheme described in the above method. Therefore, the specific limitations in the embodiments of the wind-wave resource joint development complementary characteristic evaluation system provided below can be found in the limitations of the wind-wave resource joint development complementary characteristic evaluation method described above, and will not be repeated here.

[0145] In one exemplary embodiment, such as Figure 3 As shown, a system for evaluating the complementary characteristics of wind-wave resource joint development is provided, which specifically includes the following modules.

[0146] The data acquisition module is used to acquire wind-wave resource data of the sea area to be evaluated; the wind-wave resource data includes: air density, wind speed, significant wave height and mean wave period.

[0147] The power density calculation module is used to calculate the wind energy power density and wave energy power density based on the wind-wave resource data.

[0148] The complementarity coefficient calculation module is used to calculate the complementarity coefficient of wind energy and wave energy resources based on the wind energy power density and the wave energy power density; the complementarity coefficient includes: annual complementarity coefficient, quarterly complementarity coefficient and monthly complementarity coefficient.

[0149] The complementary strength calculation module is used to calculate the complementary strength of wind energy and wave energy resources based on the wind energy power density and the wave energy power density; the complementary strength includes: wind-wave complementary strength, wave-wind complementary strength and wind-wave complementary strength.

[0150] The wave complementarity calculation module is used to calculate the wave complementarity based on the wind power density and the wave power density.

[0151] The resource reserve ratio calculation module is used to calculate the wind-wave resource reserves and ratios of each grid cell in the sea area to be evaluated based on the wind power density and the wave power density.

[0152] The wind-wave joint development index calculation module is used to calculate the wind-wave joint development index based on the wind power density, the wave power density, the complementarity coefficient, the complementarity intensity, the wave complementarity rate, and the wind-wave resource reserves and proportions.

[0153] The comprehensive evaluation module is used to comprehensively evaluate the complementary characteristics of wind-wave resource joint development based on the complementarity coefficient, the complementarity strength, the fluctuation complementarity rate, the wind-wave resource reserves and proportion, and the wind-wave joint development index.

[0154] As an optional implementation, the wind-wave resource joint development complementary characteristic assessment system may further include a visualization module, which is connected to the comprehensive assessment module and is used to visualize the annual complementarity coefficient, quarterly complementarity coefficient, monthly complementarity coefficient, complementarity intensity, fluctuation complementarity rate, wind-wave resource reserves and proportions, and wind-wave joint development index in the form of a spatial distribution map.

[0155] The method and system for evaluating the complementary characteristics of wind-wave resource joint development proposed in this application have the following technical advantages.

[0156] (1) Multi-timescale assessment with strong comprehensiveness. By introducing annual, quarterly and monthly complementarity coefficients, this application can comprehensively reveal the complementary characteristics of wind and wave resources from macro to micro levels, helping investors and planners understand the synergistic behavior of resources at different time scales, and providing accurate data support for long-term planning and medium- and short-term operations.

[0157] (2) Quantifying the complementarity intensity provides clear guidance. This application proposes three indicators: wind-wave complementarity intensity, wave-wind complementarity intensity, and wind-wave complementarity intensity. These indicators not only prove the existence of complementarity but also precisely quantify the magnitude and main direction of the complementary energy, providing a direct and quantitative basis for decision-making regarding the capacity allocation and optimized operation of combined power generation units.

[0158] (3) The application demonstrates strong practicality in assessing the fluctuation smoothing effect. By introducing the fluctuation complementarity rate as an indicator, this application quantitatively assesses the potential contribution of wind and wave joint development to smoothing total power output fluctuations and enhancing grid stability. A higher value indicates a better smoothing effect, which is crucial for the grid to absorb renewable energy.

[0159] (4) The indicator system is systematic and the evaluation accuracy is high. This application has constructed a set of wind and wave joint development indices that cover energy density, resource reserves, complementary characteristics, wave characteristics and other progressive and multi-dimensional factors. This overcomes the shortcomings of the single dimension of the existing methods, making the evaluation results more comprehensive, objective and accurate, and significantly improving the scientificity and reliability of the site selection and feasibility study of wind and wave joint projects.

[0160] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0161] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for evaluating the complementary characteristics of joint development of wind and wave resources, characterized in that, include: Obtain wind and wave resource data for the sea area to be assessed; The wind-wave resource data includes: air density, wind speed, significant wave height, and mean wave period; Based on the wind-wave resource data, the wind energy power density and wave energy power density are calculated respectively. Based on the wind energy power density and the wave energy power density, calculate the complementarity coefficient of wind energy-wave energy resources; the complementarity coefficient includes: annual complementarity coefficient, quarterly complementarity coefficient and monthly complementarity coefficient; The complementary strength of wind-wave energy resources is calculated based on the wind power density and the wave power density; the complementary strength includes: wind-wave compensation strength, wave-wind compensation strength, and wind-wave complementary strength. Calculate the wave complementarity rate based on the wind energy power density and the wave energy power density; Based on the wind energy power density and the wave energy power density, calculate the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated; The wind-wave joint development index is calculated based on the wind power density, the wave power density, the complementarity coefficient, the complementarity strength, the wave complementarity rate, and the wind-wave resource reserves and proportions. Based on the relationship between the wind-wave joint development indexes at different locations in the sea area to be evaluated, the values ​​of each wind-wave joint development index are sorted from largest to smallest. The sea area with the largest wind-wave joint development index is selected as the optimal result for screening the complementary characteristics of wind-wave resource joint development, and project planning and feasibility studies are carried out in priority. The annual complementarity coefficient is calculated using the following formula: ； in, The annual complementarity coefficient, Wind power density is greater than or equal to the minimum exploitable threshold. The average number of hours per year, Wave energy power density is greater than or equal to the minimum exploitable threshold. The average number of hours per year, This represents the minimum exploitable threshold for wind energy power density. This represents the minimum exploitable threshold for wave energy power density. Hours per year; The seasonal complementarity coefficient is calculated using the following formula: ； in, The seasonal complementarity coefficient, The wind power density in each season (spring, summer, autumn, and winter) is greater than or equal to the minimum exploitable threshold. Average number of hours, Wave energy power density is greater than or equal to the minimum exploitable threshold in each of the four seasons (spring, summer, autumn, and winter). Average number of hours, Hours for each of the four seasons; The monthly complementarity coefficient is calculated using the following formula: ； in, The monthly complementarity coefficient, The wind power density for each month from January to December is greater than or equal to the minimum exploitable threshold. Average number of hours, Wave energy power density for each month from January to December must be greater than or equal to the minimum exploitable threshold. Average number of hours, Hours for each month from January to December; The wind-wave compensation intensity is calculated using the following formula: ； in, To compensate for the strength of the waves, for Wind power density at any given time, expressed in W / m³ 2 ; The annual average power density of wind energy is expressed in W / m³. 2 ; for Wave energy power density at any given time, expressed in kW / m³; The wave energy annual average power density is expressed in kW / m³. The wave compensation wind intensity is calculated using the following formula: ； in, To compensate for the wind intensity of the waves; The wind-wave complementary strength is calculated using the following formula: ； in, The strength is complementary to that of wind and waves; The fluctuation complementarity rate is calculated using the following formula: ； in, For the complementarity of fluctuations, Relative value of wind energy power density standard deviation The relative value of wave energy power density standard deviation The correlation coefficient between wind energy and wave energy resources; The wind and wave joint development index is calculated using the following formula: ； in, For joint development of wind and waves; The proportion of wind energy resource reserves. The proportion of wave energy resource reserves, and + =1; This is a benchmark for wind energy power density, with units of W / m³. 2 ; This serves as a benchmark for wave energy power density, with units of kW / m. It serves as a normalized index for the variability of wind energy power density, and , It is a normalized index for the variability of wave energy power density, and , , They represent the first Relative value of wind power density per grid cell Standard deviation, relative value of wave energy power density Standard deviation; , These are the relative values ​​of wind power density. The maximum and minimum values ​​of the standard deviation; , These are the relative values ​​of wave energy power density. The maximum and minimum values ​​of the standard deviation.

2. The method for evaluating the complementary characteristics of joint development of wind and wave resources according to claim 1, characterized in that, The wind energy power density is calculated using the following formula: ； in, Wind energy power density, in W / m³ 2 ; Air density, unit: kg / m³ 3 ; Wind speed, in m / s; The wave energy power density is calculated using the following formula: ； in, Wave energy power density, in kW / m; The significant wave height is expressed in meters (m). The average wave period is expressed in units of 1000 Hz. s .

3. The method for evaluating the complementary characteristics of joint development of wind and wave resources according to claim 1, characterized in that, Based on the wind energy power density and the wave energy power density, the wind-wave resource reserves and proportions of each grid cell in the sea area to be evaluated are calculated, specifically including: The sea area to be evaluated is divided into several grid cells according to a preset spatial resolution. Based on the wind power density and the wave power density, calculate the wind energy resource reserves and wave energy resource reserves of each grid cell respectively. Based on the wind energy reserves and wave energy reserves of each grid cell, the proportion of wind energy reserves and the proportion of wave energy reserves are calculated.

4. The method for evaluating the complementary characteristics of joint development of wind and wave resources according to claim 3, characterized in that, The wind energy resource reserves are calculated using the following formula: ； in, Indicates the first Wind energy resource reserves of each grid cell For the first The annual average wind energy power density of each grid cell, in W / m³. 2 ; For the first The area of ​​each grid cell, in m² 2 ; Pi; The wave energy resource reserves are calculated using the following formula: ； in, Indicates the first Wave energy resource reserves of each grid cell For the first The annual average wave energy power density of each grid cell, in kW / m.

5. The method for evaluating the complementary characteristics of joint development of wind and wave resources according to claim 3, characterized in that, The percentage of wind energy reserves is calculated using the following formula: ； in, The proportion of wind energy resource reserves. Indicates the first Wind energy resource reserves of each grid cell Indicates the first Wave energy resource reserves of each grid cell; The percentage of wave energy resource reserves is calculated using the following formula: ； in, This represents the proportion of wave energy resource reserves.

6. A system for evaluating the complementary characteristics of wind and wave resource joint development, characterized in that, The wind-wave resource joint development complementary characteristic evaluation system is used to implement the wind-wave resource joint development complementary characteristic evaluation method according to any one of claims 1-5, and the wind-wave resource joint development complementary characteristic evaluation system includes: The data acquisition module is used to acquire wind-wave resource data of the sea area to be evaluated; the wind-wave resource data includes: air density, wind speed, significant wave height and mean wave period; The power density calculation module is used to calculate the wind energy power density and wave energy power density respectively based on the wind-wave resource data. The complementarity coefficient calculation module is used to calculate the complementarity coefficient of wind energy and wave energy resources based on the wind energy power density and the wave energy power density; the complementarity coefficient includes: annual complementarity coefficient, quarterly complementarity coefficient and monthly complementarity coefficient; The complementary strength calculation module is used to calculate the complementary strength of wind energy and wave energy resources based on the wind energy power density and the wave energy power density; the complementary strength includes: wind-wave compensation strength, wave-wind compensation strength, and wind-wave complementary strength. The wave complementarity calculation module is used to calculate the wave complementarity based on the wind power density and the wave power density. The resource reserve ratio calculation module is used to calculate the wind-wave resource reserves and ratios of each grid cell in the sea area to be evaluated based on the wind power density and the wave power density, respectively. The wind and wave joint development index calculation module is used to calculate the wind and wave joint development index based on the wind energy power density, the wave energy power density, the complementarity coefficient, the complementarity intensity, the wave complementarity rate, and the wind-wave resource reserves and proportions. The comprehensive evaluation module is used to comprehensively evaluate the complementary characteristics of wind-wave resource joint development based on the complementarity coefficient, the complementarity strength, the fluctuation complementarity rate, the wind-wave resource reserves and proportion, and the wind-wave joint development index.

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