Mesoscale interactions on wind energy potential in the northern Aegean region: a case study

Borhan, Y.

doi:10.1016/s1364-0321(98)00006-9

Cited by 25 publications

(13 citation statements)

References 7 publications

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“…29 The same winds blow in Cyprus as westerlies to southwesterlies, being more humid. 28,[30][31][32][33][34] The entire data set was checked for completeness and erroneous values before starting any analysis. The outliers were either deleted or in some cases were taken as the average between the two neighboring values.…”

Section: Wind Data Measurements and Site Descriptionmentioning

confidence: 99%

“…Various research works and tasks had been demonstrated trying to determine the maximum wind sourced energy potential in the area. [28][29][30][31] It should be noted that Hellenic Centre for Marine Research-Poseidon Team has been established a fully computerized automated network that collecting observations for several meteorological parameters from seven stations mounted on buoys in Aegean area, from the database of which measurements have been used in the present study.…”

Section: Introductionmentioning

confidence: 99%

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Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Bagiorgas

Mihalakakou

Rehman

et al. 2012

Journal of Renewable and Sustainable Energy

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This paper utilizes three hourly measured values of wind speed and direction from seven buoys data collection stations in Aegean Sea to study the wind speed and power characteristics applying the Weibull shape and scale parameters. Specifically, the site dependent, annual and monthly mean patterns of mean wind speed, Weibull parameters, frequency distribution, most probable wind speed, maximum energy carrying wind speed, wind power density and wind energy density characteristics have been studied. The Weibull distribution was found to represent the wind speed distribution with more than 90% accuracy in most of the cases. Slightly decreasing trends were observed in annual mean wind speed values at Lesvos and increasing at Mykonos. The mean values of wind speed, scale parameter, most probable wind speed, maximum energy carrying wind speed, wind power and wind energy density values showed higher values during winter time and lower in summer time. Mykonos was found to be the best site from wind power harnessing point of view. Moreover, the correlation between the percentages of times the wind speed was above cut-in-speed and the measured mean wind speed for the three selected sites and the correlation between the aforementioned percentages and the scale parameter c were examined and were found linear.

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Section: Wind Data Measurements and Site Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Bagiorgas

Mihalakakou

Rehman

et al. 2012

Journal of Renewable and Sustainable Energy

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“…Moving south, in the central Aegean, they blow as winds of northerly direction, while, in the southern Aegean, the Cretan and the Carpathian Sea, they blow as northwesterlies. The same winds blow in Cyprus as westerlies to southwesterlies, being more humid (Incecik and Erdogmus 1995;Poulos et al 1997;Borhan 1998;Hamad et al 2006;Klaić et al 2009). …”

Section: Seawatch Buoymentioning

confidence: 93%

“…Various research works and tasks had been demonstrated trying to determine the maximum wind sourced energy potential in the area (Poulos et al 1997;Incecik and Erdogmus 1995;Klaić et al 2009;Borhan 1998;Hamad et al 2006). Karamanis et al (2011) assessed the offshore wind power potential of two sites, Zakynthos and Pylos in the Ionian sea by using two years mean wind speed at 10 m. They found the annual mean wind speed at these two sites as 5.7 and 5.8 m/s, respectively.…”

Section: Introductionmentioning

confidence: 99%

Offshore wind speed and wind power characteristics for ten locations in Aegean and Ionian Seas

et al. 2012

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This paper utilizes wind speed data measured at 3 and 10 m above water surface level using buoys at 10 stations in Ionian and Aegean Seas to understand the behaviour of wind and thereafter energy yield at these stations using 5 MW rated power offshore wind turbine. With wind power densities of 971 and 693 W/m 2 at 50 m above water surface level, Mykonos and Lesvos were found to be superb and outstanding windy sites with wind class of 7 and 6, respectively. Other locations like Athos, Santorini and Skyros with wind power density of more than 530 W/m 2 and wind class of 5 were found to be the excellent sites. Around 15-16% higher winds were observed at 10 m compared to that at 3 m. Lower values of wind speed were found during summer months and higher during winter time in most of the cases reported in the present work. Slightly decreasing (∼2% per year) linear trends were observed in annual mean wind speed at Lesvos and Santorini. These trends need to be verified with more data from buoys or from nearby onshore meteorological stations. At Athos and Mykonos, increasing linear trends were estimated. At all the stations the chosen wind turbine could produce energy for more than 70% of the time. The wind speed distribution was found to be well represented by Weibull parameters obtained using Maximum likelihood method compared to WAsP and Method of Moments.

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“…In contrast, at the coastal stations Ugurlu and Cinaralti, greater wind speeds were recorded in summer periods because of the etesian winds and air-sea-land interactions [12]. The northern Aegean coast of Turkey and surrounding islands' wind characteristics also were evaluated by Borhan [20].…”

Section: Monthly Wind Characteristicsmentioning

confidence: 99%

Bati Anadolu Rüzgar Karakteri̇sti̇kleri̇ Üzeri̇ne Yapilan Çalişmalarin Değerlendi̇ri̇lmesi̇

Güngör

2016

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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Since the geography of Turkey provides appropriate meteorological conditions for the wind energy generation, it is inevitable to support the wind energy initiatives. In general, potential wind energy areas in Turkey lie in the northwestern and northern parts and at locations along the Aegean Sea coast. These regions are highly suitable for the wind energy generation, since the wind speeds exceed 3 m/s in most of these areas. So, due to the western part of Turkey are highly suitable for wind energy applications, most of researchers have focused mainly on these areas to calculate wind characteristics. This study is aimed to summarize the studies carried out on the parameters of the Weibull distribution function in western part of Turkey.Keywords: Wind characteristics; Weibull function; Wind energy, Wind data, Turkey, West Anatolia. BATI ANADOLU RÜZGAR KARAKTERĐSTĐKLERĐ ÜZERĐNE YAPILAN ÇALIŞMALARIN DEĞERLENDĐRĐLMESĐ ÖZETTürkiye coğrafik konumu nedeniyle farklı hava akımlarının etkisi altında kaldığından, rüzgar enerjisi potansiyeli oldukça yüksek olan bir ülkedir. Türkiye'de potansiyel rüzgar enerjisi alanları genel olarak, Batı Anadolu'nun kuzey, kuzeybatı kısımları ile Ege Denizi sahili boyunca uzanmaktadır. Bu bölgelerde rüzgar hızı çoğunlukla 3 m/s değerinin üzerinde olduğundan yüksek bir rüzgar enerji potansiyeline sahip olduğu anlaşılmaktadır. Bu nedenle pek çok araştırmacı, rüzgar enerjisi karakteristikleri çalışmalarında bu bölge üzerinde yoğunlaşmıştır. Bu çalışma, Batı Anadolu'da Weibull dağılım fonsiyonu üzerinde yapılan çalışmaları özetlemektedir.

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Mesoscale interactions on wind energy potential in the northern Aegean region: a case study

Cited by 25 publications

References 7 publications

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Offshore wind speed and wind power characteristics for ten locations in Aegean and Ionian Seas

Bati Anadolu Rüzgar Karakteri̇sti̇kleri̇ Üzeri̇ne Yapilan Çalişmalarin Değerlendi̇ri̇lmesi̇

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