Ahmet ÖZTOPAL, Ahmet Duran ŞAHİN, Bihter DURNA, Ercan İZGİ, Mustafa Kemal KAYMAK

Variations and relations of meteorological parameters between upwind and downwind small-scale wind turbine rotor area

Renewable energy sources are becoming increasingly important due to climate change and the energy crisis. Wind energy projects and applications in particular have been growing recently. Meteorological parameters such as wind speed, ambient temperature, relative humidity, and air pressure directly affect wind turbine electricity generation. Understanding the relationships among these parameters is necessary to determine wind energy potential and to predict electricity generation. The current work is based on data obtained from a 1.5 kW wind turbine constructed in ˙Istanbul Technical University s meteorological park in Turkey. A one minute time interval was used in the data analysis. In this study, upwind/downwind meteorological variables of the wind turbine rotor area were investigated and analyzed in detail. It was observed that the turbine used in this study performs better under low wind speed conditions than under high wind speed conditions. The difference in relative humidity between the upwind and downwind rotor area reached 4%. It is also important to note that, depending on wind speed, temperature differences between the upwind and downwind rotor area reached 5%. Equations for upwind/downwind variables were obtained for each meteorological parameter.

PDF

___

[1] Kose R, Ozgur MA, Erbas O, Tugcu A. The analysis of wind data and wind energy potential in Kutahya, Turkey. Renewable and sustainable Energy Reviews 2004; 8: 277288.
[2] Kose R. An evaluation of wind energy potential as a power generation source in Kutahya, Turkey. Energy Conversion and Management 2004; 45: 16311641.
[3] Dahmouni AW, Salah MB, Askri F, Cerkeni C, Nasrallah SB. Assessment of wind energy potential and optimal electricity generation in Borj-Cedria, Tunisia. Renewable and sustainable Energy Reviews 2011; 15: 815820.
[4] Akpinar EK, Akpinar S. An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy Conversion and Management 2005; 46: 18481867.
[5] Ahmed Shata AS, Hanitch R. Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt. Renewable Energy 2006; 31: 11831202.
[6] Kamau JN, Kinyua R, Gathua JK. 6 years of wind data for Marsabit, Kenya average over 14 m/s at 100 m hub height; an analysis of the wind energy potential. Renewable Energy 2010; 35: 12981302.
[7] Essa KSM, Mubarak F. Survey and assessment of wind-speed and wind power in Egypt including air density variation. Wind Eng 2006; 30: 95106.
[8] Sinden G. Characteristics of the UK wind resource. Long-term patterns and relationship to electricity demand. Energy Policy 2007; 35: 112127.
[9] S¸en Z, S¸ahin AD. Regional assessment of wind power in western Turkey by the cumulative semivariogram method. Renew Ener 1997; 12: 169177.
[10] S¸en Z, S¸ahin AD. Regional wind energy evaluation in some parts of Turkey. J Wind Eng Ind Aerod 1998; 37: 740741.
[11] Lalas DP, Tsepladaki H, Theoharatos G. An analysis of wind power potential in Greece. Solar Energy 1983; 30: 495505.
[12] S¸ahin AD, G¨und¨uz A, S¸en Z. Wind energy potential calculations in the Marmara Region of Turkey. SWEMP98, Ankara, Turkey 1998; 912.
[13] Oztopal A, S¸ahin AD, S¸en Z, Akg¨un N. On the regional wind energy potential of Turkey. Energy 2000; 25: 189200. ¨
[14] Soler-Bientz R, Watson S, Infield D. Wind characteristics on the Yucatan Peninsula based on short term data from meteorological stations. Energy Conversion and Management 2010; 51: 754764.
[15] Soler-Bientz R, Watson S, Infield D. Preliminary study of long term wind characteristics of the Mexican Yucatan Peninsula. Energy Conversion and Management 2009; 50: 17731780.
[16] Petersen EL, Mortensen NG, Landberg L, Hojstrup J, Frank HP. Wind power meteorology-part I: climate and turbulence. Wind Energy 1998; 1: 2545.
[17] Petersen EL, Troen I, Frandsen S, Hedegaard K. Wind Atlas for Denmark. A rational method for wind energy sitting. Roskilde, Denmark: Riso-R-428, Riso national Laboratory, 1981.
[18] Freris LL. Meteorological Aspects of the Utilization of Wind as an Energy Source. WMO-No: 575, Switzerland, 1981.
[19] Freris LL. Wind Energy Conversion Systems. United Kingdom: Prentice Hall International Ltd, 1990.
[20] S¸en Z. Statistical investigation of wind energy reliability and its application. Renew Ener 1997; 10: 7179.