Potential of Wind Speed for Wind Power Generation In Perlis, Northern Malaysia

I. Daut I. Daut, M. Irwanto M. Irwanto, Suwarno Suwarno, Y.M. Irwan Y.M. Irwan, N. Gomesh N. Gomesh, N. S. Ahmad N. S. Ahmad

Abstract


 This paper presents an analysis of the wind speed characteristics in Perlis, Northern Malaysia for the year of 2006. 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. Potential of wind power generation is observed and analyzed during 24 hours (9th March 2011). The analysis result of monthly mean wind power and energy density show that the early (January to march) and the end (December) of year have a high wind power and energy potential, but the middle of year they are very low, it is necessary to develop  a special wind power generation capable of harnessing the little wind resource available in Perlis. Observation during 24 hours (9th March 2011), for a 24 V wind power generation gives 10% of its total output voltage.


Full Text:

PDF

References


Aynur U, Figen B. Assesment of wind power potential for turbine installation in coastal areas of Turkey. Renewable and Sustainable Energy Reviews. 2010; 14: 1901-12.

Ahmed O, Hanane D, Roberto S, Abdelaziz M. Monthly and seasonal of wind energy characteristics at four monitored locations in Liguria region (Italy). Renewable and Sustainable Energy Reviews. 2010; 14: 1959-68.

Alam HM, Manfred D. Assessment of renewable energy resources potential for electricity generation in Bangladesh. Renewable and Sustainable Energy Reviews. 2010; 14: 2401-13.

Ahmed SA. Wind energy as a potential generation source at Ras Benas, Egypt. Renewable and Sustainable Energy Reviews. 2010; 14: 2167-73.

Tian PC. Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application. Applied Energy. 2010.

Dahmouni AW, Salah MB, Askri F, Kerkeni C, Nasrallah SB. Wind energy in the Gulf of Tunis, Tunisia. Renewable and Sustainable Energy Reviews. 2010; 14: 1303-11.

Albadi MH, El-Saadany EF. Optimum turbine-site matching. Energy. 2010: 1-10.

Jaralikar SM, Aruna M. Case study of a hybrid (wind and solar) power plant. TELKOMNIKA Indonesian Journal of Electrical Engineering. 2011; 9(1): 19-26.

Yuhendri M, Ashari M, Purnomo MH. Maximum output power tracking of wind turbine using intelligent control. TELKOMNIKA Indonesian Journal of Electrical Engineering. 2011; 9(2): 217-226.

Daut I, Sembiring M, Irwanto M, Syafawati N, Hardi S. Solar radiation potential for photovoltaic power generation based on meteorological data in Perlis. International Conference: Electrical Energy and Industrial Electronic Systems EEIES2009. Penang, Malaysia. 2009; 411-4.

Gokcek M, Bayulken A, bekdemir S. Investigation of wind characteristics and wind energy potential in Kirklareli, Turky. Renewable Energy. 2007; 32: 1739-52.

Gilbert MM. Renewable and efficient electric power systems. Wiley 2004: 307-85.

Belu R, Koracin D. Wind characteristics and wind energy potentialin awestern Nevada. Renewable energy. 2009; 34: 2246-51.

Mostafaeipour A. Feasibility study of harnessing wind energy for turbine installation in province of Yazd in Iran. Renewable and Sustainable Energy Reviews. 2010; 14(1): 93-111.




DOI: http://doi.org/10.12928/telkomnika.v9i3.750

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604

View TELKOMNIKA Stats