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Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS

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  • Cunden, Tyagaraja S.M.
  • Doorga, Jay
  • Lollchund, Michel R.
  • Rughooputh, Soonil D.D.V.

Abstract

This paper presents a Multi-Criteria Decision Making (MCDM) process together with Geographic Information System (GIS) to analyse multiple constraints that affect the siting of wind farms. Firstly, exclusion zones are identified and are removed from the potential wind farm placement regions of the wind resource map layer. A set of nine selected evaluation criteria are weighted using the Analytical Hierarchy Process (AHP) in order to quantify their impacts on the placements of the wind farms. Constraints such as buffer zones and suitability scores are developed. Using these constraints, raster layers including the proximity to road network and high voltage transmission lines are created. Theses layers are then superimposed on raster layers comprising of high-resolution terrain DEM and raster dataset for wind speed and direction. The combination of the raster layers is done using the Weighted Linear Combination (WLC) technique to yield a wind resource map highlighting the regions for wind farms placements, classified according to their potential wind power density. As a case study, the methodology is applied to the island of Mauritius which has a complex topography.

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  • Cunden, Tyagaraja S.M. & Doorga, Jay & Lollchund, Michel R. & Rughooputh, Soonil D.D.V., 2020. "Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS," Energy, Elsevier, vol. 211(C).
    • Handle: RePEc:eee:energy:v:211:y:2020:i:c:s0360544220316418
    DOI: 10.1016/j.energy.2020.118533
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    Cited by:

    1. Yechennan Peng & Hossein Azadi & Liang (Emlyn) Yang & Jürgen Scheffran & Ping Jiang, 2022. "Assessing the Siting Potential of Low-Carbon Energy Power Plants in the Yangtze River Delta: A GIS-Based Approach," Energies, MDPI, vol. 15(6), pages 1-20, March.
    2. Hu, Weicheng & Yang, Qingshan & Chen, Hua-Peng & Yuan, Ziting & Li, Chen & Shao, Shuai & Zhang, Jian, 2021. "Wind field characteristics over hilly and complex terrain in turbulent boundary layers," Energy, Elsevier, vol. 224(C).
    3. Hosseini Dehshiri, Seyyed Shahabaddin & Firoozabadi, Bahar, 2022. "A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern clim," Energy, Elsevier, vol. 261(PB).
    4. Kumbuso Joshua Nyoni & Anesu Maronga & Paul Gerard Tuohy & Agabu Shane, 2021. "Hydro–Connected Floating PV Renewable Energy System and Onshore Wind Potential in Zambia," Energies, MDPI, vol. 14(17), pages 1-42, August.
    5. Sotiropoulou, Kalliopi F. & Vavatsikos, Athanasios P., 2021. "Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II," Energy Policy, Elsevier, vol. 158(C).
    6. Karaaslan, Abdulkerim & Gezen, Mesliha, 2022. "The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient," Renewable Energy, Elsevier, vol. 182(C), pages 842-854.
    7. Ziemba, Paweł, 2022. "Uncertain Multi-Criteria analysis of offshore wind farms projects investments – Case study of the Polish Economic Zone of the Baltic Sea," Applied Energy, Elsevier, vol. 309(C).

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