A large scale multi criteria suitability analysis for identifying solar development potential: A decision support approach for the state of Illinois, USA
- Authors
- Kwak, Yoonshin; Deal, Brian; Heavisides, Tom
- Issue Date
- Nov-2021
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Solar development; Renewable energy; Multi-criteria decision analysis; Suitability analysis; Decision support tool; Planning support system
- Citation
- RENEWABLE ENERGY, v.177, pp 554 - 567
- Pages
- 14
- Journal Title
- RENEWABLE ENERGY
- Volume
- 177
- Start Page
- 554
- End Page
- 567
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/87308
- DOI
- 10.1016/j.renene.2021.05.165
- ISSN
- 0960-1481
1879-0682
- Abstract
- The State of Illinois is examining prospects to increase the development of in-state renewable energy resources on public lands. In response, this research develops a scalable decision-support tool for identifying suitable areas for solar energy generation in the state. This paper provides guidance for state agency-driven solar development by evaluating the suitability of potential generation areas in terms of environmental impact, socioeconomic costs, and energy productivity, and providing a forum for critical decision-making. More specifically, geospatial technologies are combined with a suitability analysis to reveal the potential for solar energy generation on public lands. This study demonstrates the usefulness of the resulting information for supporting both regional and local decision-making as a Planning Support System (PSS). Our analysis suggests that the large-scale analysis using fine resolution data is useful for comparison and site-specific decision making -with site verification protocols in terms of physical implementation. We find that planning decisions for solar development should use a finegrained suitability approach at a large scale and a feasibility analysis at a specific scale. We present our findings in statewide application along with a scalable PSS tool to optimize and support solar decision-making process and democratize the information for engaging a broader audience. (c) 2021 Elsevier Ltd. All rights reserved.
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