CN116976165A - Wave energy flow resource measuring and calculating method and system based on space-time combination - Google Patents
Wave energy flow resource measuring and calculating method and system based on space-time combination Download PDFInfo
- Publication number
- CN116976165A CN116976165A CN202310839684.3A CN202310839684A CN116976165A CN 116976165 A CN116976165 A CN 116976165A CN 202310839684 A CN202310839684 A CN 202310839684A CN 116976165 A CN116976165 A CN 116976165A
- Authority
- CN
- China
- Prior art keywords
- wave energy
- energy flow
- calculating
- measuring
- annual
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000004364 calculation method Methods 0.000 claims abstract description 19
- 238000012417 linear regression Methods 0.000 claims description 12
- 238000004458 analytical method Methods 0.000 claims description 9
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000001419 dependent effect Effects 0.000 claims description 3
- 239000013535 sea water Substances 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000000691 measurement method Methods 0.000 claims 4
- 238000011161 development Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 7
- 230000007774 longterm Effects 0.000 description 5
- 238000005259 measurement Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000002803 fossil fuel Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004177 patent blue V Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M10/00—Hydrodynamic testing; Arrangements in or on ship-testing tanks or water tunnels
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/27—Regression, e.g. linear or logistic regression
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2123/00—Data types
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2123/00—Data types
- G06F2123/02—Data types in the time domain, e.g. time-series data
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Geometry (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Fluid Mechanics (AREA)
- Mathematical Analysis (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Medical Informatics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Physics (AREA)
- Computer Graphics (AREA)
- Radar Systems Or Details Thereof (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a space-time combination-based wave energy flow resource measuring and calculating method and a space-time combination-based wave energy flow resource measuring and calculating system, which are characterized in that firstly, a measuring and calculating area and a measuring and calculating range of wave energy flow resources are determined, wave data required by measuring and calculating are obtained, then the measuring and calculating range is divided into grids according to spatial resolution, annual average wave energy flow size of each grid point in the measuring and calculating range every year, total annual wave energy flow reserves of the area are calculated according to the calculated annual average wave energy flow value, and annual average wave energy flow distribution of each season in the measuring and calculating area is divided according to seasons; the invention can fully combine the total annual reserve of wave energy flow, four-season wave energy flow distribution and annual average wave energy flow change trend to calculate the wave energy flow, can describe the wave energy flow characteristics in space, and can reflect the annual average wave energy flow change trend on a time scale, thereby having important significance for wave energy calculation and development and utilization and being suitable for wide popularization and use.
Description
Technical Field
The invention relates to the technical field of wave energy flow calculation, in particular to a wave energy flow resource measuring and calculating method and system based on space-time combination.
Background
With the consumption and exhaustion of fossil energy on landing, humans are faced with a severe energy crisis, and the development of renewable energy is an effective way to cope with climate change and to alleviate the energy crisis. Ocean occupies 71% of the earth's area and contains huge renewable energy sources, mainly including ocean wind energy, tidal energy, wave energy, temperature difference energy, ocean current energy and the like. The wave energy has the advantages of safety, no pollution, reproducibility, large reserves, wide distribution and the like, has wide development prospect, is taken as a substitute resource of fossil fuel, has highest energy density in renewable energy sources, but has instability which increases the development difficulty, so that the evaluation of the wave energy is required to be correctly recognized.
Currently, the measurement and calculation developed for the intensity of the wave energy flow is generally to measure and calculate the change of the wave energy flow value in spatial distribution, so that the measurement and calculation of the long-term change trend of the wave energy flow in time is lacked; in the actual wave energy resource development process, not only the energy density and the spatial distribution of the wave energy resource are calculated, but also the total reserve of the wave energy and the long-term change trend of the wave energy resource on a time scale are calculated; therefore, it is necessary to design a method and a system for measuring and calculating wave energy resources based on space-time combination.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a wave energy resource measuring and calculating method and a system based on space-time combination, which can be used for measuring and calculating the wave energy by fully combining three aspects of total annual reserves of the wave energy, four-season wave energy distribution and average wave energy flow change trend, can describe the characteristics of the wave energy in space and reflect the change trend of the average wave energy in time scale, so that the measuring and calculating method and the system have important significance for measuring and calculating wave energy.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a wave energy flow resource measuring and calculating method and system based on space-time combination comprises the following steps,
step (A), determining a measuring and calculating area and a measuring and calculating range of wave energy flow resources, and acquiring wave data required by measuring and calculating;
dividing the measuring and calculating range into grids according to the spatial resolution, and calculating annual average wave energy flow of each grid point in the measuring and calculating range;
calculating total annual wave energy flow reserves of the area according to the calculated annual average wave energy flow value;
dividing according to seasons, and dividing annual average wave energy flow distribution of years in each season in a measuring and calculating area;
and (E) calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, and calculating the annual change trend of the annual average wave energy flow of each grid point to finish the operation of measuring and calculating the wave energy flow resources.
The method for measuring and calculating the wave energy resources based on space-time combination comprises the following steps of (A) determining a measuring and calculating area and a measuring and calculating range of the wave energy resources, and obtaining wave data required by measurement, wherein the wave is a mixed wave formed by wind waves and surge, and the wave data comprise effective wave height data and wave period data of the mixed wave.
Dividing the measuring range into grids according to the spatial resolution, calculating the annual average wave energy flow of each grid point in the measuring range, wherein the spatial resolution is 0.5 degrees multiplied by 0.5 degrees, and calculating the annual average wave energy flow of each grid point in the measuring range comprises the following specific steps of,
step (B1), taking the wave group direction as the wave energy flow direction, wherein the calculation formula of the wave energy flow P of each unit wave front width is shown as formula (1),
P＝ρg∫∫c g (f,h)E(f,θ)dfdθ (1)
wherein P represents wave energy flow, ρ represents sea water density, g represents gravitational acceleration, f represents frequency, h represents water depth, θ represents wave direction, c g Group velocity, E, spectral density;
step (B2), group velocity c in equation (1) g As shown in the formula (2),
wherein c represents wave velocity, and c=l/T, L represents wavelength, T represents wave period; k is wave number, and k=2pi/L;
step (B3), as can be obtained from equation (1), the wave energy flow approximation per unit wavefront width is shown in equation (3),
wherein Hs is the effective wave height, te is the energy period;
a step (B4) of combining the formula (2) and the formula (3) as shown in the formula (4),
wherein the wavelength L is shown in formula (5),
step (B5), combining the formula (4) and the formula (5) as shown in the formula (6),
the method for measuring and calculating the wave energy flow resources based on the space-time combination comprises the step (C) of calculating the total annual wave energy flow reserves of the area according to the calculated annual average wave energy flow value, wherein the total annual wave energy flow reserves calculating formula is shown as a formula (7),
wherein E is PT Is the total reserve of annual wave energy streams,annual average wave energy flow value for many years, H is the number of hours, h=365 d×24h=8760H.
According to the wave energy flow resource measuring and calculating method based on space-time combination, step (D), the wave energy flow resource measuring and calculating method is divided according to seasons, annual average wave energy flow distribution of each season in a measuring and calculating area is divided, wherein the number of the annual average wave energy flow distribution is 3, 4 and 5 months in spring, 6, 7 and 8 months in summer, 9, 10 and 11 months in autumn and 12, 1 and 2 months in winter.
The wave energy flow resource measuring and calculating method based on space-time combination, step (E), according to the annual average wave energy flow size of each grid point calculated, and then the annual average wave energy flow change trend of each grid point calculated, the wave energy flow resource measuring and calculating operation is completed, wherein the annual average wave energy flow change trend of each grid point calculated is a unitary linear regression analysis prediction method, the prediction model of the unitary linear regression analysis prediction method is shown as a formula (8),
Y t ＝ax t +b(8)
wherein x is t Representing the value of the t-year argument, Y t Values representing the t-year dependent variables, a and b representing parameters of the unitary linear regression equation, and a and b being calculated from equations (9) and (10), respectively,
the wave energy flow resource measuring and calculating system based on space-time combination comprises a measuring and calculating determining module, an annual average wave energy flow calculating module, an annual wave energy flow total reserve calculating module, a season dividing module and a wave energy flow change trend measuring and calculating module, wherein the measuring and calculating determining module is used for determining a measuring and calculating area and a measuring and calculating range of wave energy flow resources and acquiring wave data required by measuring and calculating; the annual average wave energy flow calculation module is used for dividing the measuring and calculating range into grids according to the spatial resolution, and calculating annual average wave energy flow of each grid point in the measuring and calculating range every year; the annual wave energy flow total reserve calculation module is used for calculating annual wave energy flow total reserve of the area according to the calculated annual average wave energy current value; the season dividing module is used for dividing according to seasons and dividing annual average wave energy flow distribution of each season in the measuring and calculating area; the wave energy flow change trend measuring and calculating module is used for calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, and calculating the change trend of each grid point for years.
The beneficial effects of the invention are as follows: according to the space-time combination-based wave energy resource measuring and calculating method and system, firstly, the measuring and calculating range is divided into grids according to the spatial resolution, the annual average wave energy flow size of each grid point in the measuring and calculating range is calculated, then the annual wave energy total reserve of the area is calculated according to the calculated annual average wave energy flow value, the annual average wave energy flow distribution of each season in the measuring and calculating area is divided according to seasons, then the annual average wave energy flow size of each grid point is calculated according to the calculated annual average wave energy flow size, the change trend of each grid point in the years is calculated, the long-term change trend of the wave energy flow on the long-time scale is analyzed through a unitary linear regression analysis method, namely, the long-term change trend of the wave energy is analyzed, the long-term prediction of the wave energy resource is facilitated, the measuring and calculating operation of the wave energy resource is completed, the measuring and calculating method and system can be fully combined with the annual total wave energy flow, the wave energy distribution and the wave energy average wave energy change trend, the measuring and calculating operation of the wave energy average wave energy flow can not only be described in space, but also have the advantages of being applicable to the measuring and calculating method and calculating on the time scale, the system has the advantages of being reasonable in terms and the development.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a schematic diagram of the annual total reserve distribution of mixed wave energy in an embodiment of the invention;
FIG. 3 is a schematic diagram of the mixed wave energy flow spring distribution of 2001-2020 in an embodiment of the invention;
FIG. 4 is a schematic diagram showing the summer distribution of 2001-2020 mixed wave energy flows in an embodiment of the invention;
FIG. 5 is a schematic diagram showing the autumn distribution of 2001-2020 mixed wave energy flows in the embodiment of the invention;
FIG. 6 is a schematic diagram showing the winter distribution of 2001-2020 mixed wave energy flows in an embodiment of the present invention;
FIG. 7 is a schematic diagram showing the variation of the wave energy average wave for the mixed wave year 2001-2020 in the embodiment of the present invention;
FIG. 8 is a schematic diagram of the operation of the measuring and calculating system according to an embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the drawings.
As shown in fig. 1, the method and system for measuring and calculating wave energy flow resources based on space-time combination of the invention comprise the following steps,
determining a measuring area and a measuring range of wave energy flow resources, and acquiring wave data required by measuring, wherein the wave is a mixed wave consisting of wind waves and surge waves, and the wave data comprises effective wave height data and wave period data of the mixed wave.
Dividing the measuring range into grids according to the spatial resolution, and calculating the annual average wave energy flow of each grid point in the measuring range, wherein the spatial resolution is 0.5 degrees multiplied by 0.5 degrees, and the annual average wave energy flow of each grid point in the measuring range is calculated as follows,
step (B1), taking the wave group direction as the wave energy flow direction, wherein the calculation formula of the wave energy flow P of each unit wave front width is shown as formula (1),
P＝ρg∫∫c g (f,h)E(f,θ)dfdθ (1)
wherein P represents wave energy flow, ρ represents sea water density, g represents gravitational acceleration, f represents frequency, h represents water depth, θ represents wave direction, c g Group velocity, E, spectral density;
step (B2), group velocity c in equation (1) g As shown in the formula (2),
wherein c represents wave velocity, and c=l/T, L represents wavelength, T represents wave period; k is wave number, and k=2pi/L;
step (B3), as can be obtained from equation (1), the wave energy flow approximation per unit wavefront width is shown in equation (3),
wherein Hs is the effective wave height, te is the energy period;
a step (B4) of combining the formula (2) and the formula (3) as shown in the formula (4),
wherein the wavelength L is shown in formula (5),
step (B5), combining the formula (4) and the formula (5) as shown in the formula (6),
a step (C) of calculating total annual wave energy flow reserves of the area according to the calculated annual average wave energy flow value, wherein the total annual wave energy flow reserves calculation formula is shown as a formula (7),
wherein E is PT Is the total reserve of annual wave energy streams,annual average wave energy flow value for many years, H is the number of hours, h=365 d×24h=8760H.
Dividing according to seasons, and dividing the annual average wave energy flow distribution of each season in the measuring and calculating area, wherein the spring is 3, 4 and 5 months, the summer is 6, 7 and 8 months, the autumn is 9, 10 and 11 months, and the winter is 12, 1 and 2 months.
Step (E), calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, calculating the annual change trend of each grid point for a plurality of years, and completing the operation of measuring wave energy flow resources, wherein the annual change trend of each grid point for a plurality of years is calculated by adopting a unified linear regression analysis prediction method, a prediction model of the unified linear regression analysis prediction method is shown as a formula (8),
Y t ＝ax t +b (8)
wherein x is t Representing the value of the t-year argument, Y t Values representing the t-year dependent variables, a and b representing parameters of the unitary linear regression equation, and a and b being calculated from equations (9) and (10), respectively,
the wave energy flow resource measuring and calculating system based on space-time combination comprises a measuring and calculating determining module, an annual average wave energy flow calculating module, an annual wave energy flow total reserve calculating module, a season dividing module and a wave energy flow change trend measuring and calculating module, wherein the measuring and calculating determining module is used for determining a measuring and calculating area and a measuring and calculating range of wave energy flow resources and acquiring wave data required by measuring and calculating; the annual average wave energy flow calculation module is used for dividing the measuring and calculating range into grids according to the spatial resolution, and calculating annual average wave energy flow of each grid point in the measuring and calculating range every year; the annual wave energy flow total reserve calculation module is used for calculating annual wave energy flow total reserve of the area according to the calculated annual average wave energy current value; the season dividing module is used for dividing according to seasons and dividing annual average wave energy flow distribution of each season in the measuring and calculating area; the wave energy flow change trend measuring and calculating module is used for calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, and calculating the change trend of each grid point for years.
In order to better illustrate the effect of the present invention, a specific embodiment of the present invention is described below.
And step 1, determining an implementation area and an implementation range, and acquiring wave data required by implementation. The measuring area of the embodiment is east sea, the space range is 117 DEG E-131 DEG E,23 DEG N-34 DEG N, and the time range is 2001, 01, 00, 31, 23, 00, 2020, 12, 31. The ocean wave is usually a mixed wave composed of stormy waves and surging waves, and the embodiment takes the mixed wave as an implementation object, and the wave data parameters downloaded from the ECMWF website have the effective wave height and the mixed wave period.
And 2, dividing the range into grids according to the spatial resolution, and calculating the annual average wave energy flow of each grid point for years in the implementation range. The data used in this example had a time resolution of 1h and a spatial resolution of 0.5×0.5 °, and were divided into a total of 23×29=667 grids, and the annual average wave energy value of 20 years for each grid point was calculated.
And step 3, calculating total annual wave energy flow reserves of the area according to the calculated annual average wave energy current values for a plurality of years. From the annual average wave energy values of 20 years for each grid point calculated in step 2, the total reserve of wave energy flows throughout the east ocean was calculated. And then, the Matlab and m_map tool boxes are used for drawing the distribution of the total annual wave energy reserves of the mixed waves in the east China, and as shown in figure 2, the distribution of the annual wave energy reserves of the east China and the south China in the east China is approximately equal to the annual wave energy reserves of the east China and the west China and the north China in the east China, and the annual wave energy reserves of the open sea are greater than the annual wave energy reserves of the offshore China.
And 4, drawing annual average wave energy flow distribution of multiple years in each season in the implementation area according to the season division. The distribution of the annual average wave energy flow of the four seasons of the east sea is shown as figures 3 to 6, and the wave energy flow distribution season characteristics of the east sea are obvious, the wave energy flow value in autumn and winter is larger, the wave energy flow value in spring and summer is smaller, and the wave energy flow large-value area generally shows the northeast-southwest trend.
And 5, calculating annual average wave energy flow of each grid point, and calculating the change trend of wave energy flow of each grid point for a plurality of years by using a method of unitary linear regression analysis. Annual average wave energy values of each grid point 2001-2020 are calculated first, annual average wave energy values of each grid point for 20 years are processed by using a unitary linear regression analysis method, the slope of each grid point is extracted, and an annual average wave energy change trend chart of the east China sea for 20 years is drawn, as shown in fig. 7.
As can be seen from fig. 7, the south of the east ocean shows a significant year-by-year increasing trend, the east and middle of the east ocean do not increase significantly, and the north of the east ocean shows a decreasing trend. The annual average wave energy flow shows significant increment and no significant increment, which are beneficial to the development of wave energy, and the maximum speed of the annual average wave energy flow can reach 0.07 (kW/m)/yr, and the significant increment is realized; the trend of 0.02 (kW/m)/yr increases near the south of the east China sea; the offshore area wave energy flows also show a significant increase, with a trend of 0 to 0.04 (kW/m)/yr.
The wave energy flow total reserve distribution, the annual average wave energy flow distribution of a plurality of years in each season and the change trend of wave energy flow of each grid point for a plurality of years are combined, the autumn and winter are large-value areas of the east sea wave energy flow, the annual average wave energy flow trend is obviously increased, and the wave energy development in future is facilitated.
In summary, the space-time combination-based wave energy flow resource measuring and calculating method and system can fully combine three aspects of total annual reserve of wave energy flow, four-season wave energy flow distribution and annual average wave energy flow change trend to measure and calculate the wave energy flow, can describe the characteristics of the wave energy flow in space, can reflect the annual average wave energy flow change trend in time scale, and has important significance for measuring and calculating wave energy and developing and utilizing wave energy.
The foregoing has outlined and described the basic principles, features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A wave energy flow resource measuring and calculating method based on space-time combination is characterized in that: comprises the steps of,
step (A), determining a measuring and calculating area and a measuring and calculating range of wave energy flow resources, and acquiring wave data required by measuring and calculating;
dividing the measuring and calculating range into grids according to the spatial resolution, and calculating annual average wave energy flow of each grid point in the measuring and calculating range;
calculating total annual wave energy flow reserves of the area according to the calculated annual average wave energy flow value;
dividing according to seasons, and dividing annual average wave energy flow distribution of years in each season in a measuring and calculating area;
and (E) calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, and calculating the annual change trend of the annual average wave energy flow of each grid point to finish the operation of measuring and calculating the wave energy flow resources.
2. The space-time combination-based wave energy flow resource measurement and calculation method as set forth in claim 1, wherein: determining a measuring area and a measuring range of wave energy flow resources, and acquiring wave data required by measuring, wherein the wave is a mixed wave consisting of wind waves and surge waves, and the wave data comprises effective wave height data and wave period data of the mixed wave.
3. The space-time combination-based wave energy flow resource measurement and calculation method as set forth in claim 2, wherein: dividing the measuring range into grids according to the spatial resolution, and calculating the annual average wave energy flow of each grid point in the measuring range, wherein the spatial resolution is 0.5 degrees multiplied by 0.5 degrees, and the annual average wave energy flow of each grid point in the measuring range is calculated as follows,
step (B1), taking the wave group direction as the wave energy flow direction, wherein the calculation formula of the wave energy flow P of each unit wave front width is shown as formula (1),
P＝ρg∫∫c g (f,h)E(f,θ)dfdθ (1)
wherein P represents wave energy flow, ρ represents sea water density, g represents gravitational acceleration, f represents frequency, h represents water depth, θ represents wave direction, c g Group velocity, E, spectral density;
step (B2), group velocity c in equation (1) g As shown in the formula (2),
wherein c represents wave velocity, and c=l/T, L represents wavelength, T represents wave period; k is wave number, and k=2pi/L;
step (B3), as can be obtained from equation (1), the wave energy flow approximation per unit wavefront width is shown in equation (3),
wherein Hs is the effective wave height, te is the energy period;
a step (B4) of combining the formula (2) and the formula (3) as shown in the formula (4),
wherein the wavelength L is shown in formula (5),
step (B5), combining the formula (4) and the formula (5) as shown in the formula (6),
4. a method for measuring and calculating wave energy resources based on space-time combination according to claim 3, wherein: a step (C) of calculating total annual wave energy flow reserves of the area according to the calculated annual average wave energy flow value, wherein the total annual wave energy flow reserves calculation formula is shown as a formula (7),
wherein E is PT Is the total reserve of annual wave energy streams,annual average wave energy current for many years, H is the number of hours, and h=365 d×24h=8760H.
5. The space-time combination-based wave energy resource measurement and calculation method as set forth in claim 4, wherein: dividing according to seasons, and dividing the annual average wave energy flow distribution of each season in the measuring and calculating area, wherein the spring is 3, 4 and 5 months, the summer is 6, 7 and 8 months, the autumn is 9, 10 and 11 months, and the winter is 12, 1 and 2 months.
6. The space-time combination-based wave energy resource measurement and calculation method as set forth in claim 5, wherein: step (E), calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, calculating the annual change trend of each grid point for a plurality of years, and completing the operation of measuring wave energy flow resources, wherein the annual change trend of each grid point for a plurality of years is calculated by adopting a unified linear regression analysis prediction method, a prediction model of the unified linear regression analysis prediction method is shown as a formula (8),
Y t ＝ax t +b(8)
wherein x is t Representing the value of the t-year argument, Y t Values representing the t-year dependent variables, a and b representing parameters of the unitary linear regression equation, and a and b being calculated from equations (9) and (10), respectively,
7. a wave energy flow resource measuring and calculating system based on space-time combination, the operation method of the system adopts the method based on any one of claims 1-6, and the system is characterized in that: the wave energy flow measuring and calculating device comprises a measuring and calculating determining module, an annual average wave energy flow calculating module, an annual wave energy flow total reserve calculating module, a season dividing module and a wave energy flow trend measuring and calculating module, wherein the measuring and calculating determining module is used for determining a measuring and calculating area and a measuring and calculating range of wave energy flow resources and acquiring wave data required by measuring and calculating;
the annual average wave energy flow calculation module is used for dividing the measuring and calculating range into grids according to the spatial resolution, and calculating annual average wave energy flow of each grid point in the measuring and calculating range every year;
the annual wave energy flow total reserve calculation module is used for calculating annual wave energy flow total reserve of the area according to the calculated annual average wave energy current value;
the season dividing module is used for dividing according to seasons and dividing annual average wave energy flow distribution of each season in the measuring and calculating area;
the wave energy flow change trend measuring and calculating module is used for calculating annual average wave energy flow of each grid point according to the annual average wave energy flow of each grid point, and calculating the change trend of each grid point for years.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310839684.3A CN116976165B (en) | 2023-07-10 | 2023-07-10 | Wave energy flow resource measuring and calculating method and system based on space-time combination |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310839684.3A CN116976165B (en) | 2023-07-10 | 2023-07-10 | Wave energy flow resource measuring and calculating method and system based on space-time combination |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116976165A true CN116976165A (en) | 2023-10-31 |
| CN116976165B CN116976165B (en) | 2024-07-30 |
Family
ID=88478914
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310839684.3A Active CN116976165B (en) | 2023-07-10 | 2023-07-10 | Wave energy flow resource measuring and calculating method and system based on space-time combination |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116976165B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103390248A (en) * | 2013-08-08 | 2013-11-13 | 牟林 | Method for assessing tide energy resource through numerical simulation of sea model |
| CN104732099A (en) * | 2015-04-02 | 2015-06-24 | 中国石油大学(华东) | Offshore area wave power density parameterization calculation method for China Sea |
| CN108319772A (en) * | 2018-01-26 | 2018-07-24 | 中国科学院海洋研究所 | A kind of analysis method again of wave long term data |
| CN112949220A (en) * | 2021-03-01 | 2021-06-11 | 自然资源部第一海洋研究所 | Wave energy resource assessment method and system, storage medium and computer equipment |
| US20220374681A1 (en) * | 2022-07-08 | 2022-11-24 | Zhihan Lv | Method for predicting wave energy based on improved GRU |
| US20230041142A1 (en) * | 2020-11-19 | 2023-02-09 | First Institute Of Oceanography, Natural Resources Ministry | Theoretical reserve evaluation method for ocean current energy |
-
2023
- 2023-07-10 CN CN202310839684.3A patent/CN116976165B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103390248A (en) * | 2013-08-08 | 2013-11-13 | 牟林 | Method for assessing tide energy resource through numerical simulation of sea model |
| CN104732099A (en) * | 2015-04-02 | 2015-06-24 | 中国石油大学(华东) | Offshore area wave power density parameterization calculation method for China Sea |
| CN108319772A (en) * | 2018-01-26 | 2018-07-24 | 中国科学院海洋研究所 | A kind of analysis method again of wave long term data |
| US20230041142A1 (en) * | 2020-11-19 | 2023-02-09 | First Institute Of Oceanography, Natural Resources Ministry | Theoretical reserve evaluation method for ocean current energy |
| CN112949220A (en) * | 2021-03-01 | 2021-06-11 | 自然资源部第一海洋研究所 | Wave energy resource assessment method and system, storage medium and computer equipment |
| US20220374681A1 (en) * | 2022-07-08 | 2022-11-24 | Zhihan Lv | Method for predicting wave energy based on improved GRU |
Non-Patent Citations (2)
| Title |
|---|
| 叶钦;杨忠良;施伟勇;: "浙江近海波浪能资源的初步研究", 海洋学研究, no. 04, 15 December 2012 (2012-12-15) * |
| 郑崇伟;贾本凯;郭随平;庄卉;: "全球海域波浪能资源储量分析", 资源科学, no. 08, 15 August 2013 (2013-08-15) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116976165B (en) | 2024-07-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102628876B (en) | Ultra-short term prediction method comprising real-time upstream and downstream effect monitoring | |
| CN105894106B (en) | Integrated coupling method for marine mode and meteorological mode | |
| Holttinen et al. | Variability of load and net load in case of large scale distributed wind power | |
| CN105046374A (en) | Power interval predication method based on nucleus limit learning machine model | |
| CN110264002B (en) | Wind power plant micro-siting scheme evaluation method based on cluster analysis | |
| CN103778572A (en) | WRF mode-based offshore wind resource assessment method | |
| CN109344491A (en) | A kind of solar irradiance modeling method considering weather state change and cloud cover | |
| CN103955521B (en) | Cluster classification method for wind power plant | |
| CN112952818B (en) | Wind, light and water multi-energy complementary capacity optimal configuration method based on output complementation | |
| CN105354655A (en) | Photovoltaic power station group confidence capacity evaluation method considering power correlation | |
| CN110347671A (en) | The method for constructing wind energy on the sea data bank and offshore wind power generation amount database | |
| Abdraman et al. | Wind Resource Assessment in the City of N'djamena in Chad | |
| CN108808671A (en) | A kind of short-term wind speed DATA PROCESSING IN ENSEMBLE PREDICTION SYSTEM method of wind power plant | |
| CN201865847U (en) | Wind power, solar energy power generation system | |
| CN104158217B (en) | Cluster wind-light combined power generation system output-power fluctuation characteristic description method | |
| CN113437938B (en) | Photovoltaic array output power calculation method considering field characteristics due to regional differences | |
| CN116976165B (en) | Wave energy flow resource measuring and calculating method and system based on space-time combination | |
| CN117060407A (en) | Wind power cluster power prediction method and system based on similar day division | |
| Kutty et al. | Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji. | |
| CN113849974B (en) | Wind-solar-output-complementation-based new energy base wind power plant site selection method | |
| CN115898787A (en) | Method and device for dynamically identifying static yaw error of wind turbine generator | |
| CN103455730A (en) | Distributed photovoltaic power generating capacity estimating system and solar radiation data generation method | |
| CN108197843A (en) | A kind of level terrain wind power output method of evaluating characteristic | |
| CN114862022A (en) | Method, device, equipment and medium for predicting power generation output characteristics of offshore wind farm | |
| CN113987956A (en) | Photovoltaic power grid frequency modulation method and device based on mayflies algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |