期刊
RENEWABLE ENERGY
卷 35, 期 12, 页码 2767-2775出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2010.04.029
关键词
Genetic algorithms; Marine energy conversion; Optimization methods; WEC design
资金
- EPSRC SUPERGEN Marine Energy Research Consortium
- EPSRC [EP/E040136/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/E040136/1] Funding Source: researchfish
This study forms part of research into the optimization of the shape of a wave energy collector to improve energy extraction using genetic algorithms. The wave energy collector geometry uses a parametric description based upon bi-cubic B-spline surfaces, generated from a relatively small number of control points to reduce the dimensionality of the search space. The collector shapes that are optimized have either one or two planes of symmetry. An elementary cost function is used to determine the performance of each candidate solution. The collectors move in two degrees of freedom (surge-and-pitch), and are optimally tuned to absorb the greatest power from a number of incident regular waves, the results being weighted according to a generalized occurrence distribution. High velocities and large collector volumes are penalized. A benchmark collector shape, against which the optimized shapes are compared, is identified. The overall optimization strategy entails performing repeated runs of the algorithm for a fixed number of generations, then restarting the optimization with the run that produces the best result. An appraisal of the results is made, looking at the performance of all the shapes assessed as well as those deemed the best. (C) 2010 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据