A GIS-based multi-criteria model for offshore wind energy power plants site selection in both sides of the Aegean Sea
Autor: | Anastasis Tsiropoulos, Emre Tercan, Serkan Tapkın, Mehmet Ali Dereli, Muhammet Fatih Ak, Dionysis Latinopoulos |
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Přispěvatelé: | Giresun Üniversitesi, Mühendislik Fakültesi, Harita Mühendisliği Bölümü, Dereli, Mehmet Ali, Tapkın, Serkan, Ak, Muhammet Fatih, 50568 [Tapkın, Serkan], 279243 [Ak, Muhammet Fatih], 23487315300 [Tapkın, Serkan], 57191904300 [Ak, Muhammet Fatih] |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Energy-Generating Resources
Turkey 010504 meteorology & atmospheric sciences Fishing Site selection Wind Ege Denizi 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Wind speed Açık deniz rüzgar enerjisi Aegean Sea Suitability analysis MCDM 0105 earth and related environmental sciences General Environmental Science Offshore wind energy Shore geography geography.geographical_feature_category Greece Çevresel koruma business.industry Environmental resource management Marine spatial planning General Medicine Multiple-criteria decision analysis Environmental conservation GIS Pollution Offshore wind power Geographic Information Systems Environmental science Deniz mekansal planlama business Environmental Monitoring Power Plants |
Popis: | Location selection for offshore wind farms is a major challenge for renewable energy policy, marine spatial planning, and environmental conservation. This selection constitutes a multi-criteria decision-making problem, through which parameters like wind velocity, water depth, shorelines, fishing areas, shipping routes, environmental protection areas, transportation, and military zones should be jointly investigated. The aim of the present study was thus to develop an integrated methodology for assessing the siting of bottom-fixed offshore wind farms in two different countries (with different legal, political, and socio/economic characteristics). Our methodology combined multi-criteria decision making methods and geographical information systems and was implemented in Cyclades (Greece) and in the sea area of İzmir region (Turkey). Experts used fuzzy sets and linguistic terms to achieve more consistent and independent rankings and results. In the Turkish region, the results showed that 519 km2 (10.23%) of the study area is suitable for offshore wind farms, while in the Greek region, only 289 km2 (3.22%) of the study area was found to be suitable. This spatial suitability analysis may contribute to provide some useful recommendations for the spatial marine planning at the regional scale, as well as for the preliminary assessment of new offshore wind farms in both countries. No sponsor |
Databáze: | OpenAIRE |
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