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.
Highlights
Several Geographic Information Systems (GIS) tools, GIS has been widely applied for renewable including High/Low Clustering, Grouping Analysis and energy in the United States of America (USA)
Solar energy is in four categories, This research is about energy in USA from an including rural, urban, concentrating and rooftop
The group distribution shapes are consistent with the original solar energy density data distribution
Summary
The analysis results show that solar energy is 2016; Schelly & Price, 2014), in this case in clustered at the southwest USA while wind is highly terms of site suitability The study results will be helpful to possible storage (Zhang, Cho, Luck, & Mago, 2018). Most of these growth in this industry. The energy that was states would be better suited to certain types of solar or consumed in USA in 2010 came from 44.7% coal and 23.9% wind energy
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
