CN104732099B - A kind of immediate offshore area wave power density parameter computational methods suitable for China sea - Google Patents

A kind of immediate offshore area wave power density parameter computational methods suitable for China sea Download PDF

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CN104732099B
CN104732099B CN201510155953.XA CN201510155953A CN104732099B CN 104732099 B CN104732099 B CN 104732099B CN 201510155953 A CN201510155953 A CN 201510155953A CN 104732099 B CN104732099 B CN 104732099B
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power density
wave
wave power
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CN104732099A (en
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万勇
孙伟峰
李立刚
周鹏
戴永寿
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China University of Petroleum East China
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Abstract

The invention discloses a kind of immediate offshore area wave power density parameter computational methods suitable for China sea, comprise the following steps:First, wave power density multinomial model is constructed;Then, corresponding significant wave height in several immediate offshore areas, energy cycle and wave power density are obtained from the MASNUM wave numerical models of several annual immediate offshore areas in a certain year;Using significant wave height, energy cycle and wave power density as the parameter of multinomial model, wave power density multinomial model is fitted;Finally, using the multinomial model, the accurate evaluation of immediate offshore area wave energy resource is realized.The present invention can calculate wave power density by the parameter of wave.

Description

A kind of immediate offshore area wave power density parameter computational methods suitable for China sea
Technical field
The present invention relates to a kind of immediate offshore area wave power density parameter computational methods suitable for China sea.
Background technology
With human society and expanding economy, the demand for the energy is growing day by day, for any one state on the earth For family, the reserves of the routine fossil energy such as oil, natural gas, coal are all limited, and these conventional fossil energies will be in future Decades within will rapidly close to exhaustion;In addition, the carbon emission of conventional fossil energy can cause global warming.
The shortage of conventional energy resource and be the significant problem that countries in the world need to face to the pollution of weather, is also to hinder me State builds one of principal element of ocean power.The exploitation of new green power turns into the active demand of socio-economic development. Wave energy is a kind of important regenerable marine energy, wide with density height, distribution, inexhaustible, is not produced The advantages of CO2 emission, there is high potentiality to be exploited.The exploitation of wave energy resource are for solving conventional energy resource shortage Environmental problem has great strategic significance caused by the energy problem brought and conventional energy resource carbon emission.
Rational exploitation and utilization wave energy resource can be the resident living on remote island, offshore oil platform, sea fisheries life Production and desalinization etc. provide supply of electric power, energy resource supply are solved the problems, such as, with important actual application value.To wave energy The assessment of resource is the important process before developing wave energy resource, while being also the premise for developing wave energy resource Condition.Due to the limitation of technical merit, the exploitation of current wave energy resource are concentrated mainly on offshore, and nearshore wave can be provided The accurate evaluation in source has great importance for the decision-making of China's wave energy exploration project.
In nearest decades, the research worker of countries in the world utilizes WAM, WAVEWATCH III and SWAM etc. The result of wave numerical model simulation, the evaluation studies for having carried out substantial amounts of wave energy resource for global different waters work. Mainly there are two methods when calculating the wave power density of wave energy, a kind of calculated using the integration of ocean wave spectrum, it is a kind of It is to be calculated using the approximate model of deep water.
Wave power density is to evaluate the most important characteristic quantity of wave energy resource, and the China sea offshore depth of water is shallower, is directly utilized Conventional deep water model calculates wave power density and had than larger error;In addition, the computation model applicability of pattern spectral integral Limited, the dependence to ocean wave spectrum is larger.Set up the wave energy wave power density accurate parameters suitable for China sea immediate offshore area Accurately and fast calculating of the computation model for realizing coastal wave power density has great importance.
Used in the main evaluation studies of wave energy resource abroad of the method for spectral integral, although this method has comparison high Computational accuracy, but higher for the accuracy requirement of ocean wave spectrum, the main unit by some business of accurate ocean wave spectrum Grasped, acquisition has certain difficulty;Further, since the calculating and storage of ocean wave spectrum need to take substantial amounts of resource, some seas The result of wave observation and simulation is (for example:Buoy observed result, again analyze data simulation result) provide ocean wave spectrum number According to, but directly provide the parameter of wave (for example:Significant wave height and energy cycle etc.), in this case, the calculating of spectral integral Model can not be used, and the universality of the model is poor;
In the evaluation studies of China's wave energy resource, the knot for the ocean wave parameter that Zheng Chongwei et al. is simulated using LAGFD-WAM wave model Fruit is calculated the wave power density of CHINESE OFFSHORE large scale scope, and the approximate calculation mould of deep water is used during calculating Type, this model has higher precision in the calculating of deep-water weave power density, and the China sea immediate offshore area depth of water is generally shallower, Larger error can be produced by calculating wave power density using deep water Approximate computing model, therefore need to consider the shadow of the depth of water when calculating Ring.
Both the above computation model has some limitations, and is not suitable for China sea immediate offshore area wave energy wave power The calculating of density, it is therefore desirable to set up only rely upon ocean wave parameter be applied to China sea immediate offshore area wave power density it is accurate Computational methods.
The content of the invention
The purpose of the present invention is exactly that there is provided a kind of immediate offshore area wave power suitable for China sea in order to solve the above problems Density parameter computational methods, the computational accuracy that it has the wave power density accurate parameters computational methods set up is substantially better than Existing method;This method can calculate wave power density by the parameter of wave, be a kind of computational methods of parametrization, this method Universality it is good, the advantages of computational efficiency is high.
To achieve these goals, the present invention is adopted the following technical scheme that:
A kind of immediate offshore area wave power density parameter computational methods suitable for China sea, comprise the following steps:
First, wave power density multinomial model is constructed;
Then, to obtain several from the MASNUM wave numerical models of several annual immediate offshore areas in a certain year near Corresponding significant wave height, energy cycle and wave power density in bank marine site;Significant wave height, energy cycle and wave power density are made For the parameter of multinomial model, wave power density multinomial model is fitted;
Finally, using the multinomial model, the accurate evaluation of immediate offshore area wave energy resource is realized.
A kind of immediate offshore area wave power density parameter computational methods suitable for China sea, comprise the following steps:
Step (1):Construction calculates PwMultinomial model:
Wherein, HsRepresent significant wave height, TeRepresent energy cycle, PwRepresent wave power density, aiRepresentative polynomial coefficient, C Expression constant, i representative polynomial exponent numbers, i span is 1-n, and n meaning of parameters is the degree of polynomial;
Step (2):The number simulated using the MASNUM wave numerical models of several immediate offshore areas of whole year in a certain year According to construction modeling data collection;
Step (3):Extract corresponding effective in several immediate offshore areas from the MASNUM wave numerical models of step (2) Wave height Hs, energy cycle TeWith wave power density Pw
Step (4):Corresponding significant wave height H in several immediate offshore areas that step (3) is extractedsWith energy cycle TeMake To input, by wave power density PwAs output, fitting of a polynomial is carried out using least square method, obtained by fitting of a polynomial Take the coefficient a of multinomial modeliAnd C, so as to establish calculating PwMultinomial model;
Step (5):Calculating P based on step (4)wMultinomial model, use significant wave height Hs, energy cycle TeAccurately The wave power density of immediate offshore area is calculated, the accurate evaluation of immediate offshore area wave energy resource is realized.
The depth of water of the immediate offshore area of the step (2) is no more than 75 meters.
The a certain year of the step (2) selects 2012.
Several of the step (2) are 3.
The construction modeling data collection of the step (2), selects 4 seasons of 3 zonules 2012 year to represent the number of the moon respectively According to temporal resolution is set as 6 hours, and spatial resolution is set as 6 ' × 6 ', the number of the modeling data collection obtained with this standard It it is 735380 groups according to amount.
It is January, April, July and October that the season, which represents the moon,.
The calculating P of the step (4)wMultinomial model it is as follows:
Beneficial effects of the present invention:
The computational accuracy for the computational methods suitable for China sea immediate offshore area wave energy wave power density that 1 present invention is set up Apparently higher than existing computational methods;This method directly can calculate wave power density by the parameter of wave, and computational efficiency is high, And suitable for various sea wave data collection, universality is preferable;This method can expand to other immediate offshore areas, can with certain Autgmentability.
The problem of 2 present invention exist for current existing wave power density computational methods, utilizes MASNUM wave numerical value The wave and the result of wave power density of nearly 10 years China sea offshores, 3 zonules of pattern simulation, the number of selection 2012 According to modeling data collection is constituted, the wave energy wave power density accurate parametersization calculating side suitable for China sea immediate offshore area is set up Method.
This method has taken into full account the influence of the offshore depth of water, can improve the accuracy of coastal wave power density computation;
Secondly, this method directly calculates wave power density using the parameter of wave, can improve the efficiency of calculating, in addition, The sea wave data collection that various means are obtained can provide the parameter of wave, and this method is applied to various sea wave data collection, universality Preferably;
Again, this method is set up based on the result that China sea immediate offshore area is simulated, and method is applied to China sea immediate offshore area The accurate calculating of wave power density.
The method of foundation is exclusively used in China sea immediate offshore area, with obvious provincial characteristics.This method can also be carried out Extension is with applied to other marine sites, therefore with scalability.Calculating P based on step (4)wMultinomial model, use sea The parameter of wave can accurately calculate the wave power density of offshore, realize the accurate evaluation of nearshore wave energy resource.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the invention;
The P that Fig. 2 offshore accurate parameters method is calculatedwThe P exported with pattern spectral integralwContrast;
The P that Fig. 3 deep water approximate model is calculatedwThe P exported with pattern spectral integralwContrast;
Embodiment
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
The wave and wave power of nearly 10 years China sea offshores, 3 zonules simulated using MASNUM wave numerical models The result of density, the data of selection 2012 constitute modeling data collection, establish the wave energy suitable for China sea immediate offshore area Wave power density accurate parameters computational methods.
Due toTherefore construction calculates PwMultinomial model:
In order to obtain the coefficient a of polynomial computation method by fitting of a polynomialiAnd C, utilize the China of 1 year 2012 The data configuration modeling data collection of the MASNUM pattern simulations of extra large 3 zonules (offshore shallow water area), constructs modeling data collection When, select 4 seasons of 3 zonules 2012 year to represent the data in the moon (January, April, July, October) respectively, temporal resolution is set It is set to 6 hours, spatial resolution is set as 6 ' × 6 ', the data volume of the modeling data collection obtained using this standard is 735380 group. The H that pattern is providedsAnd TeP with higher accuracy, in addition pattern outputwThe energy spectral integral of ocean wave spectrum is arisen directly from, should All offshore influence factors can be included by method, therefore can obtain the calculating of wave power density the most accurate As a result.By the H of pattern simulationsAnd TeIt is used as input, the P of pattern simulationwAs output, multinomial is carried out using least square method Fitting, establish calculating PwMultinomial model, it is as follows:
The data used during model modeling come from the zonule of 3 offshores of China sea, and the depth of water is no more than in these regions 75 meters, therefore the multinomial model set up is primarily suitable for China sea offshore shallow water and Intermediate Water Depth region PwCalculating.
The wave of nearly 10 years China sea offshores, 3 zonules that the present invention is simulated using MASNUM wave numerical models (significant wave height HsWith energy cycle Te) and wave power density result, selection 2012 data constitute modeling data collection, set up It is applied to the wave energy wave power density accurate parameters computational methods of China sea immediate offshore area, based on this method, uses sea The parameter of wave can accurately calculate the wave power density of offshore, realize the accurate evaluation of nearshore wave energy resource.
In order to verify the offshore P of foundationwThe accuracy of accurate parameters computational methods, utilizes the China sea of 1 year 2011 The data configuration validation data set of the MASNUM pattern simulations of 3 zonules (offshore shallow water area), during construction validation data set, 3 zonules annual data in 2011 are have selected respectively, and temporal resolution is set as 6 hours, and spatial resolution is set as 6 ' × 6 ', the data volume of the validation data set obtained using this standard is 2172343 group.Then, be utilized respectively deep water approximate model and Offshore accurate parameters method calculates Pw, the P exported with pattern spectral integralwContrasted, result such as Fig. 1 of contrast, 2, table 1 It is shown.
The deep water approximate model of table 1 is contrasted with offshore accurate parameters method precision index
From result, the average deviation (Bias) that offshore accurate parameters method is calculated is -0.02kw/m, and root mean square is missed Poor (RMSE) is 0.18kw/m, and coefficient correlation (CC) is 0.99, and computational accuracy is substantially better than existing deep water approximate calculation method. The P obtained by method calculating that patent of the present invention is set upwThe P exported with pattern spectral integralw(exact value) has preferable uniformity, , can be directly by the H of wave using this method in China sea offshore shallow water and Intermediate Water Depth regionsAnd TeCalculating is obtained accurately Pw.The method that patent of the present invention is set up can significantly improve the accuracy of China sea immediate offshore area wave power density calculating, simultaneously The efficiency of calculating can be effectively improved again.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, not to present invention protection model The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not Need to pay various modifications or deform still within protection scope of the present invention that creative work can make.

Claims (7)

1. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea, comprise the following steps:
First, wave power density multinomial model is constructed;
Then, several offshores sea is obtained from the MASNUM wave numerical models of several annual immediate offshore areas in a certain year Corresponding significant wave height, energy cycle and wave power density in domain;Using significant wave height, energy cycle and wave power density as many The parameter of item formula model, fits wave power density multinomial model;
Finally, using the multinomial model, the accurate evaluation of immediate offshore area wave energy resource is realized;
Step (1):Construction calculates PwMultinomial model:
<mrow> <msub> <mi>P</mi> <mi>w</mi> </msub> <mo>=</mo> <msubsup> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msub> <mi>a</mi> <mi>i</mi> </msub> <msup> <mrow> <mo>(</mo> <msubsup> <mi>H</mi> <mi>s</mi> <mn>2</mn> </msubsup> <msub> <mi>T</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mi>i</mi> </msup> <mo>+</mo> <mi>C</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
Wherein, HsRepresent significant wave height, TeRepresent energy cycle, PwRepresent wave power density, aiRepresentative polynomial coefficient, C is represented Constant, i representative polynomial exponent numbers, i span is 1-n, and n meaning of parameters is the degree of polynomial;
Step (2):The data structure simulated using the MASNUM wave numerical models of several immediate offshore areas of whole year in a certain year Make modeling data collection;
Step (3):Corresponding significant wave height in several immediate offshore areas is extracted from the MASNUM wave numerical models of step (2) Hs, energy cycle TeWith wave power density Pw
Step (4):Corresponding significant wave height H in several immediate offshore areas that step (3) is extractedsWith energy cycle TeAs defeated Enter, by wave power density PwAs output, fitting of a polynomial is carried out using least square method, obtains many by fitting of a polynomial The coefficient a of item formula modeliAnd C, so as to establish calculating PwMultinomial model;
Step (5):Calculating P based on step (4)wMultinomial model, use significant wave height Hs, energy cycle TeIt is accurate to calculate The wave power density of immediate offshore area, realizes the accurate evaluation of immediate offshore area wave energy resource.
2. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea as claimed in claim 1, its It is characterized in that the depth of water of the immediate offshore area of the step (2) is no more than 75 meters.
3. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea as claimed in claim 1, its It is characterized in that a certain year of the step (2) selects 2012.
4. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea as claimed in claim 1, its It is characterized in that several of the step (2) are 3.
5. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea as claimed in claim 1, its It is characterized in, the construction modeling data collection of the step (2) to select 4 seasons of 3 zonules 2012 year to represent the number of the moon respectively According to temporal resolution is set as 6 hours, and spatial resolution is set as 6 ' × 6 ', the number of the modeling data collection obtained with this standard It it is 735380 groups according to amount.
6. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea as claimed in claim 5, its It is characterized in that it is January, April, July and October that the season, which represents the moon,.
7. a kind of immediate offshore area wave power density parameter computational methods suitable for China sea as claimed in claim 1, its It is characterized in, the calculating P of the step (4)wMultinomial model it is as follows:
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>w</mi> </msub> <mo>=</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>-</mo> <mn>8.6661</mn> <mo>&amp;times;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>9</mn> </mrow> </msup> <msup> <mrow> <mo>(</mo> <msubsup> <mi>H</mi> <mi>s</mi> <mn>2</mn> </msubsup> <msub> <mi>T</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mn>4</mn> </msup> <mo>+</mo> <mn>2.1510</mn> <mo>&amp;times;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>6</mn> </mrow> </msup> <msup> <mrow> <mo>(</mo> <msubsup> <mi>H</mi> <mi>s</mi> <mn>2</mn> </msubsup> <msub> <mi>T</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mn>3</mn> </msup> <mo>+</mo> <mn>1.1215</mn> <mo>&amp;times;</mo> <msup> <mn>10</mn> <mrow> <mo>-</mo> <mn>4</mn> </mrow> </msup> <msup> <mrow> <mo>(</mo> <msubsup> <mi>H</mi> <mi>s</mi> <mn>2</mn> </msubsup> <msub> <mi>T</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0.5361</mn> <mrow> <mo>(</mo> <msubsup> <mi>H</mi> <mi>s</mi> <mn>2</mn> </msubsup> <msub> <mi>T</mi> <mi>e</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <mn>0.0073</mn> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> <mo>.</mo> </mrow> 1
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