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Assessment of wind power generation potential in Perlis, Malaysia

Author

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  • Irwanto, M.
  • Gomesh, N.
  • Mamat, M.R.
  • Yusoff, Y.M.

Abstract

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 1.12m/s, and during 2012–2013 the mean wind speed at Kangar is 2.50m/s. Based on the analysis of the Weibull distribution function, the wind speed and probability density are, respectively, 0.97m/s and 73% at Chuping, also 2.5m/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.

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  • Irwanto, M. & Gomesh, N. & Mamat, M.R. & Yusoff, Y.M., 2014. "Assessment of wind power generation potential in Perlis, Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 296-308.
  • Handle: RePEc:eee:rensus:v:38:y:2014:i:c:p:296-308
    DOI: 10.1016/j.rser.2014.05.075
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    1. Geißler, Gesa & Köppel, Johann & Gunther, Pamela, 2013. "Wind energy and environmental assessments – A hard look at two forerunners' approaches: Germany and the United States," Renewable Energy, Elsevier, vol. 51(C), pages 71-78.
    2. Albadi, M.H. & El-Saadany, E.F., 2010. "Optimum turbine-site matching," Energy, Elsevier, vol. 35(9), pages 3593-3602.
    3. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    4. Lashin, Aref & Shata, Ahmed, 2012. "An analysis of wind power potential in Port Said, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6660-6667.
    5. Weis, Timothy M. & Ilinca, Adrian, 2010. "Assessing the potential for a wind power incentive for remote villages in Canada," Energy Policy, Elsevier, vol. 38(10), pages 5504-5511, October.
    6. Alemán-Nava, Gibrán S. & Casiano-Flores, Victor H. & Cárdenas-Chávez, Diana L. & Díaz-Chavez, Rocío & Scarlat, Nicolae & Mahlknecht, Jürgen & Dallemand, Jean-Francois & Parra, Roberto, 2014. "Renewable energy research progress in Mexico: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 140-153.
    7. Mostafaeipour, Ali, 2010. "Feasibility study of harnessing wind energy for turbine installation in province of Yazd in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 93-111, January.
    8. Belu, Radian & Koracin, Darko, 2009. "Wind characteristics and wind energy potential in western Nevada," Renewable Energy, Elsevier, vol. 34(10), pages 2246-2251.
    9. Dahmouni, A.W. & Salah, M. Ben & Askri, F. & Kerkeni, C. & Nasrallah, S. Ben, 2010. "Wind energy in the Gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1303-1311, May.
    10. Wu, Jie & Wang, Zhi-Xin & Wang, Guo-Qiang, 2014. "The key technologies and development of offshore wind farm in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 453-462.
    11. Asress, Mulugeta Biadgo & Simonovic, Aleksandar & Komarov, Dragan & Stupar, Slobodan, 2013. "Wind energy resource development in Ethiopia as an alternative energy future beyond the dominant hydropower," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 366-378.
    12. Masseran, N. & Razali, A.M. & Ibrahim, K. & Wan Zin, W.Z., 2012. "Evaluating the wind speed persistence for several wind stations in Peninsular Malaysia," Energy, Elsevier, vol. 37(1), pages 649-656.
    13. Ahmed, Ahmed Shata, 2012. "Potential wind power generation in South Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1528-1536.
    14. Ackermann, Thomas & Söder, Lennart, 2000. "Wind energy technology and current status: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 4(4), pages 315-374, December.
    15. Borhanazad, H. & Mekhilef, S. & Saidur, R. & Boroumandjazi, G., 2013. "Potential application of renewable energy for rural electrification in Malaysia," Renewable Energy, Elsevier, vol. 59(C), pages 210-219.
    16. Ahmed, Ahmed Shata, 2010. "Wind energy as a potential generation source at Ras Benas, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2167-2173, October.
    17. Bekele, Getachew & Palm, Björn, 2009. "Wind energy potential assessment at four typical locations in Ethiopia," Applied Energy, Elsevier, vol. 86(3), pages 388-396, March.
    18. Golait, Neeraj & Moharil, R.M. & Kulkarni, P.S., 2009. "Wind electric power in the world and perspectives of its development in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 233-247, January.
    19. Li, Jun, 2010. "Decarbonising power generation in China--Is the answer blowing in the wind?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1154-1171, May.
    20. Gökçek, Murat & Bayülken, Ahmet & Bekdemir, Şükrü, 2007. "Investigation of wind characteristics and wind energy potential in Kirklareli, Turkey," Renewable Energy, Elsevier, vol. 32(10), pages 1739-1752.
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