Offshore wind power plant site selection using Analytical Hierarchy Process for Northwest Turkey

Caceoğlu, Eray; Yıldız, Hatice Kübra; Oğuz, Elif; Huvaj, Nejan; Guerrero, Josep M.

doi:10.1016/j.oceaneng.2022.111178

Cited by 40 publications

(26 citation statements)

References 35 publications

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“…Others apply additional criteria to identify suitable sites for both land-based [7][8][9] and offshore [10,11] renewable energy infrastructure. Many studies have adopted various criteria and methods to conduct on-site identification for ORE in recent years [12][13][14][15], including for wave energy [16][17][18] and tidal energy [19][20][21]. However, a thorough multi-criteria site suitability analysis for wave and tidal energy for the region of interest (see Section 2.1) is lacking.…”

Section: Introductionmentioning

confidence: 99%

Development and Application of a GIS for Identifying Areas for Ocean Energy Deployment in Irish and Western UK Waters

O’Connell

Furlong

Guerrini

et al. 2023

JMSE

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Ireland and the UK possess vast ocean energy resources within their respective maritime areas. However, not all offshore areas are suitable for deployment of ocean energy devices. This article describes the development of a multitude of geospatial data relating to ocean energy site suitability, as well as a Web-GIS tool for hosting and performing analysis on this data. A validation of wave, water depth and seabed character data used in the study revealed good correlation between modelled and in situ data. The data is mapped, and the spatial patterns are discussed with relevance to ORE sector implications. A site selection model, which included much of this data, was developed for this study and the Web-GIS tool. A survey conducted with ocean energy technology developers revealed their desired site criteria. The responses were applied in a case study using the site selection model to uncover potential and optimum areas for deployment of both wave and tidal energy devices. The results reveal extensive areas of the Atlantic Ocean and Celtic Sea appropriate for wave energy deployment and less extensive areas for tidal energy deployment, in the Irish Sea and Inner Seas off the West Coast of Scotland.

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Section: Introductionmentioning

confidence: 99%

Development and Application of a GIS for Identifying Areas for Ocean Energy Deployment in Irish and Western UK Waters

O’Connell

Furlong

Guerrini

et al. 2023

JMSE

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“…Bu şekilde elde edilen sonuçlar ile genel bir ifade elde edilmemiştir. Bunun yanı sıra açık deniz RES'lerin yer seçimi ve konumlandırılması üzerine de çalışmalar yapılmıştır [2, [19][20][21][22]. Bu yapılan çalışmaların bir kısmında RETScreen, WindPRO paket programları kullanılmıştır [3, 23,24].…”

Section: Introductionunclassified

Cost Analysis of Türkiye Onshore Wind Power Plants: Adilcevaz Region Case Study

ÇELİKDEMİR,

ÖZDEMİR

2023

DEUFMD

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Elektrik enerjisi kullanımının artması yeni yatırımları da gerektirmektedir. Bu nedenle bir çok farklı yeni elektrik enerjisi üretim sistemi yatırımlarının yapılması kaçınılmazdır. Bu bağlamda gerçekçi bir maliyet tahminine sahip olmak yatırımcılara birçok avantaj sağlamaktadır. Bu avantajı kullanmak için bu çalışmada RES’lerin gerçekçi yatırım maliyetlerinin belirlenmesine odaklanılmıştır. Çalışmada, Türkiye'deki RES yatırım maliyetleri analiz edilerek yeni RES yatırım maliyetlerinin tahmini için ilk kez bir denklem modeli önerilmiştir. Önerilen denklem modelinde parametreleri belirlemek için Kaos Gömülü Adaptif Parçacık Sürü Optimizasyonu tercih edilmiştir. Önerilen denklem modelindeki parametrelerin hesaplanması için MATLAB programı kullanılmıştır. Yapılan analiz sonucunda ortalama hata %6,37 olarak hesaplanmıştır. Farklı türbin türlerindeki RES’ler ile önerilen denklem modelinin doğruluğu test edilmiştir. Test sonucunda önerilen denklem modelinin geçerliliği gösterilmiştir. Yapılan analiz sonucunda ortalama hata % 6,77 olarak hesaplanmıştır. Ayrıca çalışmada duyarlılık analizi yapılmış ve farklı parametre değerlerindeki maliyet değişimleri ifade edilmiştir. Duyarlılık analizine göre maliyet üzerinde kurulu güç değerindeki değişimin, rotor çapı ve kule yüksekliğindeki değişime göre daha baskın olduğu görülmektedir. Son olarak Adilcevaz bölgesinde bir vaka çalışması yapılmıştır. Belirlenen bölgede kurulacak rüzgar enerji çiftliği için 4 farklı türbin markasına ait 14 farklı türbin modeli için maliyetler hesaplanmıştır. Bu hesaplamalar sonucunda birim maliyet olarak uygun türbin modeli Nordex N117-3/3 olarak belirlenmiştir.

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“…Feng [29] proposed a fuzzy AHP method integrated with a satisfaction degree-based fuzzy axiomatic design approach to determine the optimal onshore wind farm site based on geographic, technical, economic, social, and environmental criteria. Caceo glu et al [30] presented a quantitative methodology for offshore wind power plant site selection in Northwest Turkey using GIS and AHP. Five alternative suitable sites were evaluated with respect to 17 selection criteria, including the power grid connection, average wind speed, environmental concerns, etc.…”

Section: Introductionmentioning

confidence: 99%

Wind Energy Development Site Selection Using an Integrated Fuzzy ANP-TOPSIS Decision Model

Shafiee

2022

Energies

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The identification of appropriate locations for wind energy development is a complex problem that involves several factors, ranging from technical to socio-economic and environmental aspects. Wind energy site selection is generally associated with high degrees of uncertainty due to the long planning, design, construction, and operational timescales. Thus, there is a crucial need to develop efficient methods that are capable of capturing uncertainties in subjective assessments provided by different stakeholders with diverse views. This paper proposes a novel multi-criteria decision model integrating the fuzzy analytic network process (FANP) and the fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to evaluate and prioritize the potential sites for wind power development. Four major criteria, namely economic, social, technical, and geographical, with nine sub-criteria are identified based on consultation with wind farm investors, regulatory bodies, landowners and residents, developers and operators, component suppliers, ecologists, and GIS analysts. The stakeholders’ preferences regarding the relative importance of criteria are measured using a logarithmic least squares method, and then the alternative sites are prioritized based on their relative closeness to the positive ideal solution. The proposed model is applied to determine the most appropriate site for constructing an onshore wind power plant consisting of 10 wind turbines of 2.5 MW. Finally, the results are discussed and compared with those obtained using the traditional AHP, ANP and ANP-TOPSIS decision-making approaches.

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Offshore wind power plant site selection using Analytical Hierarchy Process for Northwest Turkey

Cited by 40 publications

References 35 publications

Development and Application of a GIS for Identifying Areas for Ocean Energy Deployment in Irish and Western UK Waters

Development and Application of a GIS for Identifying Areas for Ocean Energy Deployment in Irish and Western UK Waters

Cost Analysis of Türkiye Onshore Wind Power Plants: Adilcevaz Region Case Study

Wind Energy Development Site Selection Using an Integrated Fuzzy ANP-TOPSIS Decision Model

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