Spatial Pattern Distribution of Wind and Solar Energy in USA

Ariel Johnson, Hongmei Wang
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Abstract

Renewable energy, compared to non-renewable energy, is cleaner for the environment. Previous studies on the United States of America (USA) renewable energy mainly focused on assessment of renewable emerging resource potential in some areas in USA. Spatial distribution patterns of renewable energy are valuable to have better management of renewable energy exploration. The objective of this study is to complete spatial pattern analyses of the USA renewable energy with focus on wind and solar energy. Several GIS tools, including High/Low Clustering, Grouping Analysis and Hotspot Analysis, are applied to analyze the energy spatial patterns. The analysis results show that solar energy is clustered at the southwest USA while wind is highly variable and dependent on the local geographic environment. The study results will be helpful to possible growth in this industry.
美国风能和太阳能的空间格局分布
与不可再生能源相比,可再生能源对环境更清洁。以往对美国可再生能源的研究主要集中在对美国部分地区可再生新兴资源潜力的评价上。可再生能源的空间分布格局对更好地管理可再生能源勘探具有重要价值。本研究的目的是完成以风能和太阳能为重点的美国可再生能源的空间格局分析。应用高/低聚类、分组分析和热点分析等GIS工具对能源空间格局进行了分析。分析结果表明,太阳能集中在美国西南部,而风能变化很大,依赖于当地的地理环境。研究结果将有助于该行业的可能增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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