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

Author

Listed:
  • 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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    1. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    2. 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.
    3. Hughes, Larry & de Jong, Moniek & Wang, Xiao Qin, 2016. "A generic method for analyzing the risks to energy systems," Applied Energy, Elsevier, vol. 180(C), pages 895-908.
    4. 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.
    5. Asadi, Meysam & Ramezanzade, Mohsen & Pourhossein, Kazem, 2023. "A global evaluation model applied to wind power plant site selection," Applied Energy, Elsevier, vol. 336(C).
    6. 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.
    7. Aly, Ahmed & Jensen, Steen Solvang & Pedersen, Anders Branth, 2017. "Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis," Renewable Energy, Elsevier, vol. 113(C), pages 159-175.
    8. Anwarzai, Mohammad Abed & Nagasaka, Ken, 2017. "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 150-160.
    9. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    10. 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.
    11. Niblick, Briana & Landis, Amy E., 2016. "Assessing renewable energy potential on United States marginal and contaminated sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 489-497.
    12. Martínez-Martínez, Yenisleidy & Dewulf, Jo & Casas-Ledón, Yannay, 2022. "GIS-based site suitability analysis and ecosystem services approach for supporting renewable energy development in south-central Chile," Renewable Energy, Elsevier, vol. 182(C), pages 363-376.
    13. Liu, Biao & Wang, Jinman & Jing, Zhaorui & Tang, Qian, 2020. "Measurement of sustainable transformation capability of resource-based cities based on fuzzy membership function: A case study of Shanxi Province, China," Resources Policy, Elsevier, vol. 68(C).
    14. Finn, Thomas & McKenzie, Paul, 2020. "A high-resolution suitability index for solar farm location in complex landscapes," Renewable Energy, Elsevier, vol. 158(C), pages 520-533.
    15. Shafiullah, Md & Rahman, Syed Masiur & Mortoja, Md. Golam & Al-Ramadan, Baqer, 2016. "Role of spatial analysis technology in power system industry: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 584-595.
    16. Brewer, Justin & Ames, Daniel P. & Solan, David & Lee, Randy & Carlisle, Juliet, 2015. "Using GIS analytics and social preference data to evaluate utility-scale solar power site suitability," Renewable Energy, Elsevier, vol. 81(C), pages 825-836.
    17. Yeo, In-Ae & Yoon, Seong-Hwan & Yee, Jurng-Jae, 2013. "Development of an Environment and energy Geographical Information System (E-GIS) construction model to support environmentally friendly urban planning," Applied Energy, Elsevier, vol. 104(C), pages 723-739.
    18. Sabo, Mahmoud Lurwan & Mariun, Norman & Hizam, Hashim & Mohd Radzi, Mohd Amran & Zakaria, Azmi, 2017. "Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia," Applied Energy, Elsevier, vol. 191(C), pages 663-688.
    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).
    21. Zhou, Shan & Yang, Pu, 2020. "Risk management in distributed wind energy implementing Analytic Hierarchy Process," Renewable Energy, Elsevier, vol. 150(C), pages 616-623.
    22. Koziel, Sylvie & Hilber, Patrik & Westerlund, Per & Shayesteh, Ebrahim, 2021. "Investments in data quality: Evaluating impacts of faulty data on asset management in power systems," Applied Energy, Elsevier, vol. 281(C).
    23. Ali, Usman & Shamsi, Mohammad Haris & Bohacek, Mark & Purcell, Karl & Hoare, Cathal & Mangina, Eleni & O’Donnell, James, 2020. "A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making," Applied Energy, Elsevier, vol. 279(C).

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