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Wind energy assessment considering wind speed correlation in Malaysia

Author

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  • Goh, H.H.
  • Lee, S.W.
  • Chua, Q.S.
  • Goh, K.C.
  • Teo, K.T.K.

Abstract

Renewable energy is the current trend of energy sourcing. Numerous scientists, inventors, and engineers are working hard to harness renewable energy. The application of renewable energy is very wide; it can be as small as lighting an LED bulb or as large as generating the electricity of a town or even a country. Wind energy plays an important role in the context of electricity generation. Wind energy is highly dependent on the wind speed at a wind site. Wind prediction is necessary for a wind energy assessment of a potential wind farm. In this study, the wind energy assessment is based on wind prediction using the Mycielski algorithm and K-means clustering in Kudat, Malaysia. The predicted results are analysed using Weibull analysis to obtain the most probable wind speed. From the results of this study, K-means clustering is more accurate in prediction when compared with the Mycielski algorithm. The most probable wind in Kudat is sufficient to operate the wind turbines.

Suggested Citation

  • Goh, H.H. & Lee, S.W. & Chua, Q.S. & Goh, K.C. & Teo, K.T.K., 2016. "Wind energy assessment considering wind speed correlation in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1389-1400.
    • Handle: RePEc:eee:rensus:v:54:y:2016:i:c:p:1389-1400
    DOI: 10.1016/j.rser.2015.10.076
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    1. Carta, J.A. & Ramírez, P., 2007. "Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions," Renewable Energy, Elsevier, vol. 32(3), pages 518-531.
    2. 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.
    3. Jennings, Philip, 2009. "New directions in renewable energy education," Renewable Energy, Elsevier, vol. 34(2), pages 435-439.
    4. Pao, Hsiao-Tien & Fu, Hsin-Chia, 2013. "Renewable energy, non-renewable energy and economic growth in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 381-392.
    5. Çapik, Mehmet & Yılmaz, Ali Osman & Çavuşoğlu, İbrahim, 2012. "Present situation and potential role of renewable energy in Turkey," Renewable Energy, Elsevier, vol. 46(C), pages 1-13.
    6. Safari, Bonfils & Gasore, Jimmy, 2010. "A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda," Renewable Energy, Elsevier, vol. 35(12), pages 2874-2880.
    7. Li, Jiaming & Guo, Ying & Platt, Glenn & Ward, John K., 2013. "Renewable energy aggregation with intelligent battery controller," Renewable Energy, Elsevier, vol. 59(C), pages 220-228.
    8. Sopian, K. & Othman, M.Y.Hj. & Wirsat, A., 1995. "The wind energy potential of Malaysia," Renewable Energy, Elsevier, vol. 6(8), pages 1005-1016.
    9. Thomas Hammons (ed.), 2009. "Renewable Energy," Books, IntechOpen, number 657.
    10. Kusiak, Andrew & Li, Wenyan, 2010. "Short-term prediction of wind power with a clustering approach," Renewable Energy, Elsevier, vol. 35(10), pages 2362-2369.
    11. Xingang, Zhao & Zhongfu, Tan & Pingkuo, Liu, 2013. "Development goal of 30GW for China’s biomass power generation: Will it be achieved?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 310-317.
    12. Bivona, S. & Burlon, R. & Leone, C., 2003. "Hourly wind speed analysis in Sicily," Renewable Energy, Elsevier, vol. 28(9), pages 1371-1385.
    13. Touw, Anduin E., 2009. "Bayesian estimation of mixed Weibull distributions," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 463-473.
    14. Sims, Ralph E. H. & Rogner, Hans-Holger & Gregory, Ken, 2003. "Carbon emission and mitigation cost comparisons between fossil fuel, nuclear and renewable energy resources for electricity generation," Energy Policy, Elsevier, vol. 31(13), pages 1315-1326, October.
    15. Martin, Nigel J. & Rice, John L., 2012. "Developing renewable energy supply in Queensland, Australia: A study of the barriers, targets, policies and actions," Renewable Energy, Elsevier, vol. 44(C), pages 119-127.
    16. Touré, Siaka, 2005. "Investigations on the Eigen‐coordinates method for the 2‐parameter weibull distribution of wind speed," Renewable Energy, Elsevier, vol. 30(4), pages 511-521.
    Full references (including those not matched with items on IDEAS)

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