...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >Site specific optimization of wind turbines energy cost: Iterative approach
【24h】

Site specific optimization of wind turbines energy cost: Iterative approach

机译：特定地点的风力涡轮机能源成本优化：迭代方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The present study was aimed at developing a model to optimize the sizing parameters and farm layout of wind turbines according to the wind resource and economic aspects. The proposed model, including aerodynamic, economic and optimization sub-models, is used to achieve minimum levelized cost of electricity. The blade element momentum theory is utilized for aerodynamic modeling of pitch-regulated horizontal axis wind turbines. Also, a comprehensive cost model including capital costs of all turbine components is considered. An iterative approach is used to develop the optimization model. The modeling results are presented for three potential regions in Iran: Khaf, Ahar and Manjil. The optimum configurations and sizing for a single turbine with minimum levelized cost of electricity are presented. The optimal cost of energy for one turbine is calculated about 46.7, 54.5 and 46.6 dollars per MW h in the studied sites, respectively. In addition, optimal size of turbines, annual electricity production, capital cost, and wind farm layout for two different rectangular and square shaped farms in the proposed areas have been recognized. According to the results, optimal system configuration corresponds to minimum levelized cost of electricity about 45.8 to 67.2 dollars per MW h in the studied wind farms.
机译：本研究旨在开发一种模型，以根据风力资源和经济方面的因素优化风力涡轮机的尺寸参数和农场布局。所提议的模型（包括空气动力学，经济和优化子模型）用于实现最低的电力平均成本。叶片单元动量理论用于变桨调节水平轴风力涡轮机的空气动力学建模。此外，考虑了包括所有涡轮机组件的资本成本在内的综合成本模型。使用迭代方法来开发优化模型。给出了伊朗三个潜在地区的模拟结果：哈夫，阿哈尔和曼吉尔。提出了以最小的电费成本为单个涡轮机的最佳配置和尺寸。在研究地点，一台涡轮机的最佳能源成本分别约为每兆瓦时46.7美元，54.5美元和46.6美元。此外，已经认识到建议区域内两个不同的矩形和方形农场的最佳涡轮机尺寸，年发电量，资本成本和风电场布局。根据结果​​，最优的系统配置对应于所研究的风电场的最低平均电力成本，约为每兆瓦时45.8至67.2美元。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号