A model proposal for selecting the installation location of offshore wind energy turbines


KABAK M., Akalin S.

INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, vol.13, no.1, pp.121-134, 2022 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 13 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.1007/s40095-021-00421-0
  • Journal Name: INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, CAB Abstracts, Compendex, Index Islamicus, INSPEC
  • Page Numbers: pp.121-134
  • Keywords: Renewable energy, Wind, Multi-criteria decision-making, Geographic information system (GIS), Fuzzy analytical hierarchy process (FAHP), SITE SELECTION, DECISION, FARMS
  • Gazi University Affiliated: Yes

Abstract

Renewable energy has an important role in every country as it meets the energy needs of countries with natural resources by reducing their external dependency, increasing their sustainable energy orientation and minimizing the environmental damage caused by energy consumption. Turkey is approximately 72% dependent on foreign energy and has turned to renewable energy sources to reduce this rate since 2009. In 2019, it supplied 46% of its energy needs from renewable sources. It aims to increase the share of resources in total electricity generation up to 65% in 2023 and continues its investments in this regard. In the study, a decision model using the Geographic Information System (GIS) and Fuzzy Analytical Hierarchy Process (FAHP) is proposed to expose Turkey's current renewable energy potential and to determine the regions where wind power plants can be established in the Aegean Sea. In the proposed algorithm, criteria were determined in the Aegean Sea canakkale Region, in order to determine the regions where the wind energy turbines would be located, and priority values were determined with FAHP. Priorities with the determined vector data format were combined into one layer by combining them in GIS software ArcGIS. The examined region was divided into three categories (the most appropriate, appropriate, and not suitable) and sensitivity analysis was carried out.