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Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites

Author

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  • Omitaomu, Olufemi A.
  • Blevins, Brandon R.
  • Jochem, Warren C.
  • Mays, Gary T.
  • Belles, Randy
  • Hadley, Stanton W.
  • Harrison, Thomas J.
  • Bhaduri, Budhendra L.
  • Neish, Bradley S.
  • Rose, Amy N.

Abstract

There is a growing need to site new power generating plants that use cleaner energy sources due to increased regulations on air and water pollution and a sociopolitical desire to develop more clean energy sources. To assist utility and energy companies as well as policy-makers in evaluating potential areas for siting new plants in the contiguous United States, an adaptation of a geographic information system (GIS)-based multicriteria decision analysis approach is presented in this paper. The presented approach has led to the development of the Oak Ridge Siting Analysis for power Generation Expansion (OR-SAGE) tool. The tool takes inputs such as population growth, water availability, environmental indicators, and tectonic and geological hazards to provide an in-depth analysis for siting options. To the utility and energy companies, the tool can quickly and effectively provide feedback on land suitability based on technology specific inputs. However, the tool does not replace the required detailed evaluation of candidate sites. To the policy-makers, the tool provides the ability to analyze the impacts of future energy technology while balancing competing resource use.

Suggested Citation

  • Omitaomu, Olufemi A. & Blevins, Brandon R. & Jochem, Warren C. & Mays, Gary T. & Belles, Randy & Hadley, Stanton W. & Harrison, Thomas J. & Bhaduri, Budhendra L. & Neish, Bradley S. & Rose, Amy N., 2012. "Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites," Applied Energy, Elsevier, vol. 96(C), pages 292-301.
    • Handle: RePEc:eee:appene:v:96:y:2012:i:c:p:292-301
    DOI: 10.1016/j.apenergy.2011.11.087
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    13. Rosso, M. & Bottero, M. & Pomarico, S. & La Ferlita, S. & Comino, E., 2014. "Integrating multicriteria evaluation and stakeholders analysis for assessing hydropower projects," Energy Policy, Elsevier, vol. 67(C), pages 870-881.
    14. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    15. Asadi, Meysam & Ramezanzade, Mohsen & Pourhossein, Kazem, 2023. "A global evaluation model applied to wind power plant site selection," Applied Energy, Elsevier, vol. 336(C).
    16. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
    17. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
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    19. Sánchez, David & Bortkiewicz, Anna & Rodríguez, José M. & Martínez, Gonzalo S. & Gavagnin, Giacomo & Sánchez, Tomás, 2016. "A methodology to identify potential markets for small-scale solar thermal power generators," Applied Energy, Elsevier, vol. 169(C), pages 287-300.
    20. Sánchez-Aparicio, M. & Martín-Jiménez, J. & Del Pozo, S. & González-González, E. & Lagüela, S., 2021. "Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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