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Exploring of Wind Energy Potential and Optimal Site Selection for Wind Energy Plants Installations in Erzurum/Turkey Based on Multicriteria Site Selection

  • Gökhan Şahin
  • , Ahmet Koç*
  • , Sülem Şenyiğit Doğan
  • , Sabir Rustemli
  • , Wilfried G.J.H.M. van Sark
  • *Corresponding author for this work
  • Dicle University
  • Cukurova University
  • Bitlis Eren University

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Wind energy is a renewable, sustainable, and localized power source. These features motivate countries to adopt wind turbines, with many nations employing incentives to enhance the installed capacity of these systems. The selection of locations for wind turbine installations is crucial for optimizing turbine performance and augmenting installed capacity. This study examined 20 distinct places in the province of Erzurum as potential locations for the development of wind power installations. This research identified prospective locations for the development of wind power facilities in Erzurum, Turkey, employing a geographic information-based multicriteria decision-making (MCDM) methodology and a geographic information system (GIS). The plan incorporated topographical, structural, climatic, and environmental factors, including wind velocity, land cover classification, gradient, closeness to land and substations, transportation networks, communities, fault lines, power grids, and erosion areas. A wind farm suitability map was created using a weighted process questionnaire and assessed criteria maps, employing the analytical hierarchy process (AHP). The result map shows that 83.052% of the total area is designated as favorable, while 15.858% is rated as most favorable. This study highlighted the erosion criterion for the first time. This investigation utilized 17 criteria. The aim is to locate a wind power facility in a more suitable site by employing these characteristics. In district-level evaluations of the wind power plant suitability map, İspir province occupies the top position.

Original languageEnglish
Article number2629977
Number of pages27
JournalInternational Journal of Energy Research
Volume2025
Issue number1
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Publisher Copyright:
Copyright © 2025 Gökhan Şahin et al. International Journal of Energy Research published by John Wiley & Sons Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • analytical hierarchy process (AHP)
  • environmental condition
  • geographic information systems (GIS)
  • wind power plant

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