Full metadata
Title
Developing a Tool to Identify Locations for Renewable Energy Potential
Description
Shifting to renewable energy from fossil fuels is not occurring rapidly. Determining where to locate renewable power plants could help expedite development. The project discussed here uses a GIS ranking tool to determine potential locations for solar and wind power plants in Arizona. Criteria include renewable input (irradiance/wind class), topographic slope, and distance from transmission lines. These are ranked and summed to determine areas with the most potential. The resulting outputs show that there is much more potential land for solar development than wind development. Further analysis in this paper will focus solely on solar due to wind's lower potential. Land sensitivity and ownership are used to assess the feasibility of development. There are many groupings of highly ranked land across the state, but the largest stretch of land runs from outside of Marana (south-central Arizona) northwest to about 60 miles west of Wickenburg (central-west). This regions is mainly on BLM, state, and privately owned land. Some of this land is considered sensitive, but non-sensitive areas with high potential are frequent throughout. Renewable potential in other states could be determined using this tool as well. Variables could be weighted or added depending on each area's need.
Date Created
2013-05
Contributors
- Zeck, Kevin Michael (Author)
- Fraser, Matthew (Thesis director)
- Pasqualetti, Martin (Committee member)
- Cowger, Lane (Committee member)
- Barrett, The Honors College (Contributor)
- School of Geographical Sciences and Urban Planning (Contributor)
- School of Sustainability (Contributor)
Topical Subject
Resource Type
Extent
27 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2012-2013
Handle
https://hdl.handle.net/2286/R.I.16912
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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