首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:Optimal placement of horizontal - and vertical - axis wind turbines in a wind farm for maximum power generation using a genetic algorithm
  • 本地全文:下载
  • 作者:Xiaomin Chen ; Ramesh Agarwal
  • 期刊名称:International Journal of Energy and Environment
  • 印刷版ISSN:2076-2895
  • 电子版ISSN:2076-2909
  • 出版年度:2012
  • 卷号:3
  • 期号:6
  • 页码:927-938
  • 出版社:International Energy and Environment Foundation (IEEF)
  • 摘要:In this paper, we consider the Wind Farm layout optimization problem using a genetic algorithm. Both the Horizontal –Axis Wind Turbines (HAWT) and Vertical-Axis Wind Turbines (VAWT) are considered. The goal of the optimization problem is to optimally position the turbines within the wind farm such that the wake effects are minimized and the power production is maximized. The reasonably accurate modeling of the turbine wake is critical in determination of the optimal layout of the turbines and the power generated. For HAWT, two wake models are considered; both are found to give similar answers. For VAWT, a very simple wake model is employed.

国家哲学社会科学文献中心版权所有