Offshore Wind Farm Siting using a Genetic Algorithm

被引：0
|
作者：
O'Reilly, Christopher M. [1 ]
Grilli, Annette R. [1 ]
Potty, Gopu R. [1 ]
机构：
[1] Univ Rhode Isl, Dept Ocean Engn, Narragansett, RI USA
来源：
2012 INTERNATIONAL CONFERENCE ON GREEN TECHNOLOGIES (ICGT) | 2012年
关键词：
Wind farms; Genetic Algorithms; wake effects;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This study uses a genetic algorithm to optimize awind farm layout considering the engineering challenges and the ecosystem servicesas constraints to the turbine siting. Included is an analysis of how wake effects influence the power produced using a simplewake model called the WAsPmodel. The current study considers the location of the proposed Deep Water Wind Inc. Offshore Wind Farm Project, southeast of Block Island, Rhode Island. The proposed project consists of six, 6MWSiemens wind turbines located within the Rhode Island State waters that extend roughly 4.8 km off of the Block Island coast. The optimum solution produces turbine locations best conforming to areas of low technical, ecological, and social costs, whilesimultaneouslydistributing the turbinesto minimize turbine wake interaction. Future model improvements will consist of more accurately describing wind conditions within the wind farm and incorporating turbine cable interconnection installation costs.
引用
收藏
页码：208 / 214
页数：7
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