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Effective wave height, mean wave period and wave direction based parameterized joint distribution model

An effective wave height, joint distribution technology, applied in electrical digital data processing, design optimization/simulation, special data processing applications, etc., can solve problems such as little research

Active Publication Date: 2018-06-29
OCEAN UNIV OF CHINA
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Problems solved by technology

Therefore, it is more accurate to use the joint probability distribution model of wave direction, corresponding significant wave height and characteristic period to describe the characteristics of sea conditions. rare

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  • Effective wave height, mean wave period and wave direction based parameterized joint distribution model
  • Effective wave height, mean wave period and wave direction based parameterized joint distribution model
  • Effective wave height, mean wave period and wave direction based parameterized joint distribution model

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[0038] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0039] The parametric joint distribution model based on effective wave height, average wave period and wave direction of the present invention includes the following steps:

[0040] S1. Construct the marginal distribution f of the linear variable significant wave height and mean wave period Hs (hs) and f Tm (tm);

[0041] Wherein, in the step S1, the improved maximum entropy distribution is used to simulate the marginal distribution of the linear variable, and the specific steps are:

[0042] Linear variables include effective wave height Hs and average period Tm. Assuming that the annu...

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Abstract

The invention relates to the technical field of assessment of wave energy resources, in particular to an effective wave height, mean wave period and wave direction based parameterized joint distribution model. The parameterized joint distribution model is produced in the following steps of S1, structuring edge distribution fHs (hs) and fTm (tm) of the linear-variable effective weight height and the mean wave period; S2, structuring edge distribution f theta (theta) of circular-variable wave direction; S3, structuring joint distribution cHs-Dir (u, v) and cTm-Dir (v, w) of the effective wave height and wave direction and the mean wave period and wave direction, conditional distribution hHs / Dir (u / v) and hTm / Dir (v / w) of the effective wave height as well as wave direction and the mean wave period and the wave direction, and two-dimensional conditional distribution cHs-Tm / Dir (hHs / Dir (u / v) and hTm / Dir (v / w) of the effective wave height, the mean wave period and the wave direction; S4, structuring a three-dimensional joint distribution model of the effective wave height, the mean wave period and the wave direction. The thee main elements like effective wave height, the mean wave period and the wave direction are considered, and wave conditions can be accurately described.

Description

technical field [0001] The invention relates to the technical field of wave energy resource evaluation, in particular to a parameterized joint distribution model based on effective wave height, average wave period and wave direction. Background technique [0002] The resource assessment of wave energy is closely related to wave spectrum elements, which also affect the energy capture efficiency of equipment and the safety of structures. The establishment of the wave factor probability model is very important for analyzing the characteristics and resources of wave energy, device design and power generation efficiency evaluation and optimization. [0003] In wave energy evaluation and the optimal design of subsequent devices and arrays, effective wave height and characteristic wave period (such as spectral peak period, zero-crossing period or average period) are the two most important wave spectrum elements. The two are closely related. The accurate construction of probabilist...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 董胜林逸凡巩艺杰
Owner OCEAN UNIV OF CHINA
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