TY - JOUR
T1 - Assessment of wind power generation potential in Perlis, Malaysia
AU - Irwanto, M.
AU - Gomesh, N.
AU - Mamat, M. R.
AU - Yusoff, Y. M.
PY - 2014/10
Y1 - 2014/10
N2 - This paper presents analysis of the wind speed characteristics at Chuping and Kangar in Perlis, Malaysia. The characteristics consist of daily, monthly and annual mean wind speed. The Weibull distribution function is applied to analyze the wind speed characteristics and used to calculate the wind power generation potential. The wind power and energy as functions of tower height are presented and analyzed in this paper. The result shows that during 2005-2009 the mean wind speed at Chuping is 1.12 m/s, and during 2012-2013 the mean wind speed at Kangar is 2.50 m/s. Based on the analysis of the Weibull distribution function, the wind speed and probability density are, respectively, 0.97 m/s and 73% at Chuping, also 2.5 m/s and 45% at Kangar. They are important information to choose a suitable wind turbine for a wind power generation. The monthly mean wind power and energy density in the beginning (January-March) and the end (December) of year are higher than in the middle of year. The analysis result of the wind power and energy density as functions of tower height shows that higher tower height will produce higher wind power and energy density.
AB - This paper presents analysis of the wind speed characteristics at Chuping and Kangar in Perlis, Malaysia. The characteristics consist of daily, monthly and annual mean wind speed. The Weibull distribution function is applied to analyze the wind speed characteristics and used to calculate the wind power generation potential. The wind power and energy as functions of tower height are presented and analyzed in this paper. The result shows that during 2005-2009 the mean wind speed at Chuping is 1.12 m/s, and during 2012-2013 the mean wind speed at Kangar is 2.50 m/s. Based on the analysis of the Weibull distribution function, the wind speed and probability density are, respectively, 0.97 m/s and 73% at Chuping, also 2.5 m/s and 45% at Kangar. They are important information to choose a suitable wind turbine for a wind power generation. The monthly mean wind power and energy density in the beginning (January-March) and the end (December) of year are higher than in the middle of year. The analysis result of the wind power and energy density as functions of tower height shows that higher tower height will produce higher wind power and energy density.
KW - Weibull distribution function
KW - Wind power generation
KW - Wind speed
UR - http://www.scopus.com/inward/record.url?scp=84903120175&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2014.05.075
DO - 10.1016/j.rser.2014.05.075
M3 - Review article
AN - SCOPUS:84903120175
SN - 1364-0321
VL - 38
SP - 296
EP - 308
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
ER -