Optimal configurations of wave energy device arrays
Optimal configurations of wave energy device arrays
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DOI：
10.1016/j.oceaneng.2010.06.010
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发表时间：
2010-11-01
影响因子：
5
通讯作者：
Venugopal, V.
中科院分区：
文献类型：
--
作者：
Child, B. F. M.;Venugopal, V.
本文研究了波浪能装置阵列的空间配置对总功率输出的影响。使用能够产生任意精度的线性波理论解的方法来计算流体动力相互作用。通过改变阵列的形式，具有两种不同动力输出装置的装置的整体性能在一种入射波频率和方向上得到最大化。在第三种情况下还进行了功率最小化，以证明潜在的阵列相关损耗。在每种情况下都使用两种不同的方法来应用优化：抛物线交集（PI）方法和遗传算法（GA）。前者是为本研究设计的启发式技术，仅使用简单的计算即可实现快速阵列构建。后者是一种现有的方法，在这里应用了一种新颖的交叉算子。尽管需要更多的计算工作，但与 PI 方法相比，使用 GA 可以获得更好的结果。随后在不同频率和方向的入射波下对所有阵列进行分析，根据排列的某些几何特征来解释所产生的行为。 (C) 2010 Elsevier Ltd. 保留所有权利。
In this paper, the influence of the spatial configuration of a wave energy device array upon total power output is investigated. Hydrodynamic interactions are computed using a method capable of producing the linear wave theory solution to arbitrary accuracy. The overall performance of devices with two different power take-off arrangements is maximised at one incident wave frequency and direction by altering the formation of the array. Minimisation of the power is also carried out in a third case in order to demonstrate potential array-related losses. The optimisation is applied using two different approaches in each case: the Parabolic Intersection (PI) method and a Genetic Algorithm (GA). The former is a heuristic technique that has been devised for this study to enable rapid array construction using only simple calculations. The latter is an existing method, applied here with a novel crossover operator. Although considerably more computational effort is required, superior results may be obtained using the GA compared to the PI method. All of the arrays are subsequently analysed under incident waves of different frequency and direction, the resulting behaviour explained in terms of certain geometrical features of the arrangements. (C) 2010 Elsevier Ltd. All rights reserved.