...
首页> 外文期刊>Energy >A global wind farm potential index to increase energy yields and accessibility
【24h】

A global wind farm potential index to increase energy yields and accessibility

机译:全球风电场潜在指数,以提高能源产量和可访问性

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The preconditions for wind farm installation and operation are high energy yields and accessibility. However, so far, no attempts were made to develop a global scale index integrating energy yields and accessibility of wind farms. Thus, the goal of this study was to create a universally applicable wind farm potential index that enables finding productive and accessible wind farm sites around the world. The wind farm potential index was developed at a very high horizontal resolution (2000 m x 2000 m) using the Global Wind Speed Model and comprehensive land use data. The wind farm capacity factor's global pattern was estimated based on Kappa and Wakeby distributions, and a generic 3.3 MW wind turbine power curve yielding the resource potential index. The geographical potential index integrates 16 geographical restrictions, including the accessibility to the power grid. The correlation coefficients be-tween the resource potential index and geographical potential index were below 0.10 in many countries (61%). The areas with high resource potential and geographical potential were often divergent, e.g., in areas with poorly developed infrastructure. Applying the new wind farm potential index allows a global, consistent assessment of areas suitable for installing and operating wind farms. (c) 2021 Elsevier Ltd. All rights reserved.
机译:风电场安装和操作的前提是高能源收益率和可访问性。然而,到目前为止,没有尝试开发全球规模指数,整合能源产量和风电场的可达性。因此,本研究的目标是创造一个普遍适用的风电场潜在指标,可以在世界各地寻找富有成效和可访问的风电场网站。使用全球风速模型和全面的土地利用数据,以非常高的水平分辨率(2000 m x 2000 m)开发风电场潜在指数。基于Kappa和WakeBy分布估计风电场容量因数的全局模式,以及一种通用的3.3 MW风力涡轮机功率曲线,产生资源潜在指标。地理潜在指数集成了16个地理限制,包括电网的可访问性。资源潜在指数和地理潜在指数的相关系数为温度低于0.10(61%)。具有高资源潜力和地理潜力的地区通常是发散的,例如,在基础设施开发不佳的地区。应用新的风电场潜在指数允许全球,一致的对适合安装和运营风电场的地区进行评估。 (c)2021 elestvier有限公司保留所有权利。

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