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Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea

Author

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  • Jangwon Suh

    (John & Willie Leone Department of Energy and Mineral Engineering, The Pennsylvania State University, University Park, PA 16802, USA)

  • Jeffrey R. S. Brownson

    (John & Willie Leone Department of Energy and Mineral Engineering, The Pennsylvania State University, University Park, PA 16802, USA)

Abstract

Solar farm suitability in remote areas will involve a multi-criteria evaluation (MCE) process, particularly well suited for the geographic information system (GIS) environment. Photovoltaic (PV) solar farm criteria were evaluated for an island-based case region having complex topographic and regulatory criteria, along with high demand for low-carbon local electricity production: Ulleung Island, Korea. Constraint variables that identified areas forbidden to PV farm development were consolidated into a single binary constraint layer (e.g., environmental regulation, ecological protection, future land use). Six factor variables were selected as influential on-site suitability within the geospatial database to seek out increased annual average power performance and reduced potential investment costs, forming new criteria layers for site suitability: solar irradiation, sunshine hours, average temperature in summer, proximity to transmission line, proximity to roads, and slope. Each factor variable was normalized via a fuzzy membership function (FMF) and parameter setting based on the local characteristics and criteria for a fixed axis PV system. Representative weighting of the relative importance for each factor variable was assigned via pairwise comparison completed by experts. A suitability index ( SI ) with six factor variables was derived using a weighted fuzzy summation method. Sensitivity analysis was conducted to assess four different SI based on the development scenarios (i.e., the combination of factors being considered). From the resulting map, three highly suitable regions were suggested and validated by comparison with satellite images to confirm the candidate sites for solar farm development. The GIS-MCE method proposed can also be applicable widely to other PV solar farm site selection projects with appropriate adaption for local variables.

Suggested Citation

  • Jangwon Suh & Jeffrey R. S. Brownson, 2016. "Solar Farm Suitability Using Geographic Information System Fuzzy Sets and Analytic Hierarchy Processes: Case Study of Ulleung Island, Korea," Energies, MDPI, vol. 9(8), pages 1-24, August.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:648-:d:76089
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    1. Liu, Hua-Yueh & Wu, Sung-De, 2010. "An assessment on the planning and construction of an island renewable energy system – A case study of Kinmen Island," Renewable Energy, Elsevier, vol. 35(12), pages 2723-2731.
    2. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    3. Gastli, Adel & Charabi, Yassine, 2010. "Solar electricity prospects in Oman using GIS-based solar radiation maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 790-797, February.
    4. Sakaguchi, Takushi & Tabata, Tomohiro, 2015. "100% electric power potential of PV, wind power, and biomass energy in Awaji island Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1156-1165.
    5. Jinyoung Song & Yosoon Choi, 2016. "Analysis of the Potential for Use of Floating Photovoltaic Systems on Mine Pit Lakes: Case Study at the Ssangyong Open-Pit Limestone Mine in Korea," Energies, MDPI, vol. 9(2), pages 1-13, February.
    6. Charabi, Yassine & Gastli, Adel, 2011. "PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation," Renewable Energy, Elsevier, vol. 36(9), pages 2554-2561.
    7. Gastli, Adel & Charabi, Yassine & Zekri, Slim, 2010. "GIS-based assessment of combined CSP electric power and seawater desalination plant for Duqum--Oman," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 821-827, February.
    8. Dincer, Ibrahim, 1999. "Environmental impacts of energy," Energy Policy, Elsevier, vol. 27(14), pages 845-854, December.
    9. Sánchez-Lozano, Juan M. & Henggeler Antunes, Carlos & García-Cascales, M. Socorro & Dias, Luis C., 2014. "GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain," Renewable Energy, Elsevier, vol. 66(C), pages 478-494.
    10. Akella, A.K. & Saini, R.P. & Sharma, M.P., 2009. "Social, economical and environmental impacts of renewable energy systems," Renewable Energy, Elsevier, vol. 34(2), pages 390-396.
    11. Song, Jinyoung & Choi, Yosoon, 2015. "Design of photovoltaic systems to power aerators for natural purification of acid mine drainage," Renewable Energy, Elsevier, vol. 83(C), pages 759-766.
    12. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
    13. Uemura, Yoshimitsu & Kai, Takami & Natori, Rintarou & Takahashi, Takeshige & Hatate, Yasuo & Yoshida, Masahiro, 2004. "Potential of renewable energy sources and its applications in Yakushima Island," Renewable Energy, Elsevier, vol. 29(4), pages 581-591.
    14. Arán Carrión, J. & Espín Estrella, A. & Aznar Dols, F. & Zamorano Toro, M. & Rodríguez, M. & Ramos Ridao, A., 2008. "Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for grid-connected photovoltaic power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2358-2380, December.
    Full references (including those not matched with items on IDEAS)

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