Temporally-explicit and spatially-resolved global onshore wind energy potentials
Temporally-explicit and spatially-resolved global onshore wind energy potentials
复制标题
DOI：
10.1016/j.energy.2017.05.052
复制
发表时间：
2017-07-15
期刊：
影响因子：
9
通讯作者：
Hawkes, Adam D.
中科院分区：
文献类型：
--
作者：
Bosch, Jonathan;Staffell, Iain;Hawkes, Adam D.
几种有影响力的能源系统模型表明，可再生能源必须提供全球电力中的很大一部分，以限制本世纪的全球温度升高至2度。为了更好地代表这一转变的成本和其他含义，重要的是，这些模型实际上表征可再生能源技术的技术和经济潜力。为了实现这一目标，本文介绍了第一个暂时说明的地理空间信息系统（GIS）方法，以表征有关地形特征，土地使用和环境限制的全球陆上风能潜力。该方法将小时的NASA MERRA-2全球风速数据集与空间分辨的DTU全球风图集结合在一起。这产生了陆上风的高分辨率全球容量因素，并将其纳入季节性和昼夜时间分段，以捕获重要的时间变异性。对于每个国家 /地区，可用于各种容量因子范围的风能发电能力，并可以自由提供给社区。该数据集可用于在全球或每个国家的基础上评估经济上可行的风能潜力，并将其作为各种能源系统模型的输入。 （c）2017年作者。由Elsevier Ltd.出版。
Several influential energy systems models indicate that renewable energy must provide a significant share of the world's electricity to limit global temperature rises to below 2 degrees C this century. To better represent the costs and other implications of this shift, it is important that these models realistically characterise the technical and economic potential of renewable energy technologies. Towards this goal, this paper presents the first temporally-explicit Geospatial Information System (GIS) methodology to characterise the global onshore wind energy potential with respect to topographical features, land use and environmental constraints. The approach combines the hourly NASA MERRA-2 global wind speed data set with the spatially-resolved DTU Global Wind Atlas. This yields high resolution global capacity factors for onshore wind, binned into seasonal and diurnal time-slices to capture the important temporal variability. For each country, the wind power generation capacity available for various capacity factor ranges is produced, and made freely available to the community. This data set can be used to assess the economically viable wind energy potential on a global or per-country basis, and as an input to various energy systems models. (C) 2017 The Authors. Published by Elsevier Ltd.