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1995, Renewable Energy
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7 pages
1 file
Wind data collected over a period of three years at four different locations in Gökçeada were evaluated to estimate the potential of wind energy in the north-western part of Turkey. The data from the selected stations were used to estimate the regional mean wind speed distribution of Gökçeada, which revealed that four distinct regions exist with values from 1.0 to 4.0; 4.1 to 6.0, 6.1 to 8.0 and greater than 8.1 m/s. For each station, an extensive analysis was carried out to find the monthly average wind speed and its distribution. Several types of probabilistic distribution were matched to these distributions including the Weibull distribution. It was observed that one third of the island enjoys annual wind speeds greater than 6.0 m/s. This potential can be converted to electrical energy by means of wind farms, and the energy extracted from this source may supply electricity to the island and a small part of the mainland.
Renewable & Sustainable Energy Reviews, 2008
The main objective of the present study is to estimate wind power potential of Gökçeada Island in the Northern Aegean Sea in Turkey using the wind data collected at four different locations. Wind data collected over a period of 3 years at Uğurlu and Çınaraltı stations and a period of 10 years at Aydıncık and National Weather Station. In this regard, wind data collected at 10 and 30 m of height above ground, were extrapolated to 50 m which had been chosen as the wind turbine hub height, using power law. Extrapolated wind data of four stations were represented by Weibull probability density functions to find the wind speed distribution curves. Two Weibull parameters of the wind speed distribution function, shape parameter k (dimensionless) and scale parameter c (m/s) were calculated by the developed Fortran programme on monthly and yearly basis to find the wind profiles. Annual wind speed distributions throughout the Gökçeada Island were also obtained using the calculated Weibull probability density function parameters. The suitability of the distributions is judged by the discrepancies between the observed and calculated values of the monthly average wind speed. The results show the general availability of wind energy potential across Gökçeada Island.
This paper utilizes three hourly measured values of wind speed and direction from 10 seven buoys data collection stations in Aegean Sea to study the wind speed and 11 power characteristics applying the Weibull shape and scale parameters. 12 Specifically, the site dependent, annual and monthly mean patterns of mean wind 13 speed, Weibull parameters, frequency distribution, most probable wind speed, 14 maximum energy carrying wind speed, wind power density and wind energy 15 density characteristics have been studied. The Weibull distribution was found to 16 represent the wind speed distribution with more than 90% accuracy in most of the 17 cases. Slightly decreasing trends were observed in annual mean wind speed values 18 at Lesvos and increasing at Mykonos. The mean values of wind speed, scale 19 parameter, most probable wind speed, maximum energy carrying wind speed, wind 20 power and wind energy density values showed higher values during winter time 21 and lower in summer time. Mykonos was found to be the best site from wind 22 power harnessing point of view. Moreover, the correlation between the percentages 23 of times the wind speed was above cut-in-speed and the measured mean wind 24 speed for the three selected sites and the correlation between the aforementioned 25 percentages and the scale parameter c were examined and were found linear.
ESKİŞEHİR TECHNICAL UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A- APPLIED SCIENCES AND ENGINEERING, 2019
In this study, wind characteristics and wind energy potential of seven cities from The West of Black Sea Region in Turkey were analyzed. The wind data were obtained by National State Meteorological Service. It was measured at 10 meters' height in the date range 2010-2014. Weibull probability density function was calculated and estimated Weibull shape parameter k and scale parameter c, with the data for those locations. According to the power calculations of the region, annual mean power densities of Zonguldak, Bartın, Kastamonu, Bolu, Karabük, Düzce and Sinop were calculated as 105 W/m 2 , 37,4 W/m 2 , 40 W/m 2 , 27,15 W/m 2 , 27 W/m 2 , 26,3 W/m 2 and 209 W/m 2 at the height of 50 m, respectively. The results show that, the region has not enough wind energy potential considering investment on wind power energy except Sinop.
Renewable Energy, 1995
This paper reports briefly the variability of the wind power on the western coast of Anatolia, considering the Weibull distribution. The highest value of mean monthly wind power of 562 W m-2 is observed in February at 10 m. We found that Bozcaada, G6kqeada, Bodrum, (~anakkale and Ayvahk present higher energy potential than the other locations.
Journal of Wind Engineering and Industrial …, 2005
The wind energy potential in the eastern Mediterranean region has been investigated using hourly wind data taken from seven stations during 19922001 periods by the Turkish Meteorological Service. The present work suggests that in the east Mediterranean Sea coast of Turkey, ...
The wind energy is one of the most significant and rapidly developing renewable energy sources in the world and it provides a clean energy resource, which is a promising alternative in the short term in Turkey. The wind energy potential in various parts of Turkey is becoming economical due to reductions in the wind turbine costs, and in fossil fuel atmospheric pollution. Because of this, it is necessary to make use of this resource immediately and start conducting the required technical and economical feasibility research. The main purpose of this paper is to present, in brief, wind potential in Turkey and to perform an investigation on the wind energy potential of Kutahya. Therefore, in this study, a wind observation station was established at Dumlupinar University Main Campus in order to figure out the wind energy potential in the province. Topographical and wind speed measurement data have been collected as a first step. The wind speed has been measured at the 10th and 30th meters of the measurement mast for 20 months. The data collected in this observation station between July 2001 and February 2003 have been evaluated via CALLaLOG 98 and ALWIN software programs. The wind energy potential of the location has been studied based on the Weibull and the Rayleigh models. Weibull approximation was found to be better than that of Rayleigh model. #
Renewable energy, 2004
The aim of this study is to establish the potential and the feasibility basis for the wind energy resources in some locations of East Mediterranean region of Turkey and provide suitable data for evaluating the potential wind power. For this purpose, hourly wind data, which were observed between the years 1997 and 2001 at the meteorological stations of Antakya and İskenderun regions, were used. The dominant wind directions, the mean values, wind speeds, wind potential and the frequency distributions were determined. The results were classified according to the height above the ground level. Finally, the wind atlas of these regions in the form of contours of constant wind speed and wind potential was produced.
In this study, renewable energy project analysis softwares RETScreen® International and ALWIN are used to analyze the wind data of Gökçeada, Turkey. The annual cumulative wind speed values of Gökçeada applied to these softwares; the system characteristics, annual energy production, power and energy curves of selected wind turbines are obtained as output. The main objective is to indicate the abundant potential of wind power in Turkey.
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.
Journal of Energy Engineering-asce, 2009
Although Turkey enjoys very important wind energy potential, the studies of the exploration and utilization this potential are still less than the level needed. In this study, the wind energy potential and wind characteristics of Kayseri province and of its some counties, located in the Central Anatolian region, were investigated using the wind speeds data hourly recorded at 10 m hub height from the year 2000 to 2006. The observed wind data were processed as annual and seasonal by means of the FORTRAN computer code. Weibull and Rayleigh probability density functions of the location using actual data are calculated. For Pinarbasi County, in the considered years, Weibull shape parameter k and scale parameter c vary between values of 1.40 and 1.59 and 3.91 and 4.26 m / s, respectively. In Pinarbasi, the mean power density varies between 65 and 90 W / m 2 according to actual data while between 75 and 100 W / m 2 according to Weibull data. In addition, for Pinarbasi, the maximum value of the mean power density according to actual data for the winter season is 170 W / m 2 in 2001. Mean power density in all of the considered years for Pinarbasi is considerable in winter and spring. As a result, Pinarbasi, among the considered sites, has a remarkable potential of wind energy for utilization and can be evaluated as a marginal area for cost-effective electrical energy generation as the costs of wind energy conversion systems are lowered.
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