Journals / Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi / 2021 / Cilt: 23 - Sayı: 67

Site Selection for the Wind and Wave Energy Systems in the Aegean Sea Using GIS-based Analytical Hierarchy Process

Coğrafi Bilgi Sistemleri Tabanlı Analitik Hiyerarşi Yöntemi Kullanılarak Ege Denizi’nde Rüzgâr ve Dalga Enerji Sistemleri İçin Yer Seçimi

Pages
217–232
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results of the study reveal that GIS-based AHP can be used effectively in site selection problems for wind and wave energy systems in the seas.

📌 3 Key Takeaways

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Objective & Hypothesis:Integrated wind and wave energy systems in the seas are among the important research topics in the world in recent years.
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Key Findings & Data:In this study, the suitable areas for integrated wind and wave energy systems in the Aegean Sea were determined using Geographic Information Systems (GIS) based Analytical Hierarchy Process (AHP).
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Conclusion & Impact:The results of the study reveal that GIS-based AHP can be used effectively in site selection problems for wind and wave energy systems in the seas.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Coğrafi Bilgi Sistemi · Analitik Hiyerarşi Yöntemi · Yer Seçimi

Abstract

Integrated wind and wave energy systems in the seas are among the important research topics in the world in recent years. It is crucial to determine suitable areas to make the most efficient use of these energy systems. In this study, the suitable areas for integrated wind and wave energy systems in the Aegean Sea were determined using Geographic Information Systems (GIS) based Analytical Hierarchy Process (AHP). Site selection criteria were determined as wind speed, significant wave height, seawater depth, distance to the transformer stations, distance to ports, distance to shorelines, and seabed sediment types. The data were processed in the GIS environment and the pairwise comparison technique was used to determine the criteria weights and to score the sub-categories/grouped options of the criteria. As a result of the study, it was determined that a total area of 50,4 km2 in the Aegean Sea is suitable for the integrated wind and wave energy systems, and 43,4 km2 of this value is located in Bozcaada Island. The results of the study reveal that GIS-based AHP can be used effectively in site selection problems for wind and wave energy systems in the seas.

Özet

Denizlerde entegre rüzgâr ve dalga enerji sistemleri, son yıllarda dünyada önemli araştırma konuları arasında yer almaktadır. Bu enerji sistemlerinden en verimli şekilde yararlanabilmek için kuruluma en uygun alanların belirlenmesi oldukça önemlidir. Bu çalışmada Ege Denizi’nde entegre rüzgâr ve dalga enerji sistemleri için uygun alanlar Coğrafi Bilgi Sistemleri (CBS) tabanlı Analitik Hiyerarşi Yöntemi (AHY) ile belirlenmiştir. Yer seçim kriterleri olarak; rüzgâr hızı, belirgin dalga yüksekliği, deniz derinliği, trafo merkezlerine uzaklık, limanlara uzaklık, kıyıya uzaklık ve deniz tabanı çökel tipleri seçilmiştir. Veriler CBS ortamında işlenmiş, kriter ağırlıklarının belirlenmesinde ve kriterlerin alt kategorilerinin/gruplandırılmış seçeneklerinin puanlandırılmasında ikili karşılaştırma yöntemi kullanılmıştır. Çalışmanın sonucunda, Ege Denizi’nde toplam 50,4 km2 alanın entegre rüzgâr ve dalga enerji sistemlerinin kurulabileceği uygun alanlar olduğu ve bu değerin 43,4 km2’sinin Bozcaada çevresinde yer aldığı tespit edilmiştir. Çalışmanın sonuçları; CBS tabanlı AHY’nin denizlerde rüzgâr ve dalga enerji sistemleri için yer seçimi problemlerinde etkin bir şekilde kullanılabileceğini göstermiştir.

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Cite This Article

AYDINER, İ., ÖZTÜRK, D. (2021). Site Selection for the Wind and Wave Energy Systems in the Aegean Sea Using GIS-based Analytical Hierarchy Process. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, Cilt: 23 - Sayı: 67, 217–232. https://ajindex.com/articles/222485

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References (14)

  1. Nelson, V.C. 2011. Introduction to Renewable Energy. CRC Press, Boca Raton, 384s
  2. Smith, Z.A., Taylor, K.D. 2008. Renewable and Alternative Energy Resources: A Reference Handbook. ABC-CLIO, Santa Barbara, California, 323s
  3. Tong, W. 2010. Wind Power Generation and Wind Turbine Design. WIT Press, Southampton, Boston, 768s
  4. Breeze, P. 2016. Wind Power Generation. Academic Press, London, 104s
  5. Neill, S.P., Hashemi, M.R. 2018. Fundamentals of Ocean Renewable Energy: Generating Electricity From the Sea. Academic Press, 336s
  6. Gasch, R., Twele, J. 2011. Wind Power Plants: Fundamentals, Design Construction and Operation. Springer Science & Business Media, Heidelberg, 566s
  7. Pérez-Collazo, C., Astariz, S., Adanades, J., Greaves, D., Iglesias, G. 2014. Co-Located Wave and Offshore Wind Farms: A Preliminary Case Study of an Hybrid Array. International Conference in Coastal Engineering (ICCE), 15-20 June, Seul, South Korea
  8. Moschos, E., Manou, G., Dimitriadis, P., Afentoulis, V., Koutsoyiannis, D., Tsoukala, V.K. 2017. Harnessing Wind and Wave Resources for a Hybrid Renewable Energy System in Remote Islands: A Combined Stochastic and Deterministic Approach, Energy Procedia, Cilt 125, s. 415-424. DOI: 10.1016/j.egypro.2017.08.084 [9] Pérez-Collazo, C., Greaves, D., Iglesias, G. 2015. A Review of Combined Wave and Offshore Wind Energy, Renewable and Sustainable Energy Reviews, Cilt 42, s. 141-153. DOI: 10.1016/j.rser.2014.09.032 [10] Pérez-Collazo, C., Jakobsen, M.M., Chozas, J.F., Buckland, H. 2013. Synergies for a Wave-wind Energy Concept. European Offshore Wind Energy Conference-EWEA OFFSHORE, 19-21 November, Frankfurt, Germany
  9. Pérez, C., Iglesias G. 2012. Integration of Wave Energy Converters and Offshore Windmills. 4th International Conference on Ocean Energy, 17-19 October, Dublin, Ireland
  10. Derakhshan, S., Moghimi, M., Motawej, H. 2018. Development of a Mathematical Model to Design an Offshore Wind and Wave Hybrid Energy System, Energy Equipment and Systems, Cilt 6 (2), s. 181-200
  11. Brooke, J. 2003. Wave Energy Conversion. Elsevier, Amsterdam, 204s
  12. Multon, B. 2013. Marine Renewable Energy Handbook. John Wiley & Sons, Hoboken, 643s
  13. Linkov, I., Moberg, E. 2011. Multi-criteria Decision Analysis: Environmental Applications and Case Studies. CRC Press, Boca Raton, 204 s
  14. Saaty, T.L. 2012. Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. RWS Publications, Pittsburg