The wind power potential of the eastern Mediterranean region of Turkey

Şahi̇n, Beşi̇r; Bilgili, Mehmet; Akıllı, Hüseyin

doi:10.1016/j.jweia.2004.11.005

Cited by 71 publications

(31 citation statements)

References 13 publications

(15 reference statements)

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“…During the last decade, research was undertaken on the wind characteristics and wind power potential in many countries around the world (Tarkowski & Uliasz-Misiak, 2003). Examples include Tunisia (Zghal et al, 2011), eastern Mediterranean (Sahin et al, 2005), Turkey (Gokcek et al, 2007a;Ucar & Balo, 2009b) Nigeria (Ngala et al, 2006), Iran (Keyhani et al, 2010), Columbia (Jimenez et al, 2011), Egypt (Shata & Hanitsch, 2006), Kuwait (Al-Nassar et al, 2007), coastal areas of Jiwani, Pakistan (Lehri et al, 2013) and Greece (Kaldellis, 2002) among others.…”

Section: Wind Energy Assessmentmentioning

confidence: 99%

Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius

Dhunny

Lollchund

Rughooputh

2016

J. energy South. Afr.

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Section: Wind Energy Assessmentmentioning

confidence: 99%

Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius

Dhunny

Lollchund

Rughooputh

2016

J. energy South. Afr.

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“…Moreover, wind speed was modeled by different probability density functions in these studies. Sahin et al investigated wind characteristics and wind potential using the Weibull distribution in the Antakya andİskenderun regions of Hatay in Turkey [8]. It was concluded that the rates of wind energy potential in both regions were adequate to generate electricity, thanks to the prevailing southwesterly winds in the Antakya region.…”

Section: Introductionmentioning

confidence: 99%

A statistical analysis of wind speed data using Burr, generalized gamma, and Weibull distributions in Antakya, Turkey

Mert¹,

Karakuş²

2015

Turk J Elec Eng & Comp Sci

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Abstract:The wind energy potential of the Antakya area was statistically analyzed based 8 years of wind data sets (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009). The 4-parameter Burr, 3-parameter generalized gamma, and conventional Weibull distributions were regarded as suitable statistical models for describing wind speed profiles. The suitability of the models was tested by R 2 , RMSE, chi-squared, and Kolmogorov-Smirnov analysis. According to goodness-of-fit tests, the Burr distribution was found to be more suitable than the generalized gamma or Weibull distributions for representing the actual probability of wind speed data for Antakya. Based on the capacity factors estimated by the Burr model at a hub height, the power generation potential of a commercial 330-kW wind turbine was also determined. The results show that the available wind energy potential to generate electricity in Antakya is low; consequently, wind power would be suitable only for stand-alone electrical and mechanical applications, such as water pumps, battery charging units, and local consumption in off-grid areas.

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“…Carvalho (2006) destacou a influência do regime de vento sobre o mecanismo de dispersão de poluentes na Região Metropolitana do Rio de Janeiro (RMRJ), indicando as principais áreas de transporte de precursores do ozônio. Sahin et al (2005) O padrão dos ventos na parte centro-sul da região de estudo é consistente com a atuação das brisas marítimas e terrestres nos respectivos períodos, tarde/noite e madrugada/manhã. A infl uência topográfi ca na circulação também pode ser evidenciada na região.…”

Section: Introductionunclassified

Caracterização do regime de vento em superfície na Região Metropolitana do Rio de Janeiro

Pimentel¹,

Marton²,

Silva³

et al. 2014

Eng. Sanit. Ambient.

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O trabalho aborda a caracterização do regime de vento em diversos setores da Região Metropolitana do Rio de Janeiro (RMRJ), evidenciando a influência do ciclo diário e dos aspectos topográficos nas circulações locais. Na avaliação do padrão de vento foram utilizados dados horários provenientes de estações meteorológicas automáticas de superfície, organizados em gráficos de frequência de vento para o ciclo diário. Finalmente, os resultados evidenciam a modulação da circulação local de acordo com a atuação do sistema de brisa marítima-terrestre. Pode-se destacar a ocorrência de elevados percentuais de calmaria na estação Afonsos, caracterizando-a como uma região de estagnação, influenciada principalmente pelas feições topográficas locais. Este estudo disponibiliza um importante detalhamento da orientação e frequência do vento próximo à superfície, oferecendo subsídios adicionais às autoridades públicas para o aperfeiçoamento de suas políticas de gestão ambiental para a região.

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The wind power potential of the eastern Mediterranean region of Turkey

Cited by 71 publications

References 13 publications

Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius

Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius

A statistical analysis of wind speed data using Burr, generalized gamma, and Weibull distributions in Antakya, Turkey

Caracterização do regime de vento em superfície na Região Metropolitana do Rio de Janeiro

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