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Energies 2017, 10(3), 307; doi:10.3390/en10030307

Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia

1
Eastern Corridor Renewable Energy (ECRE), Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia
2
School of Ocean Engineering, Universiti Malaysia Terengganu, 21030 Kuala Terengganu, Terengganu, Malaysia
3
TATI University College, Teluk Kalong, 24100 Kemaman, Terengganu, Malaysia
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 14 November 2016 / Revised: 10 February 2017 / Accepted: 17 February 2017 / Published: 5 March 2017
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Abstract

This paper investigated the wind energy potential by analysing a certain amount of gathered 10-min measured data at four stations located at coastal sites in Malaysia, i.e., Kudat, Mersing, Kijal, and Langkawi. The wind data are collected from a total of four new wind measurement masts with sensors mounted at various heights on the tower. The measured data have enabled the establishment of wind resource maps and the power law indexes (PLIs) analysis. In addition, the dependence of PLI upon surface temperature and terrain types is studied, as they are associated to the form of exponential fits. Moreover, the accuracy of exponential fits is assessed by comparing the results with the 1/7 law via the capacity factor (CF) discrepancies. In order to do so, the wind turbine with a hub-height similar to the maximum height of the measured data at each site is selected to simulate energy production. Accordingly, the discrepancy of CF based on the extrapolated data by employing 1/7 laws and exponential fits, in spite of being computed using measured data, is determined as well. Furthermore, the large discrepancy of the wind data and the CF, which has been determined with the application of 1/7, is compared to the exponential fits. This is because; discrepancy in estimation of vertical wind speed could lead to inaccurate CF computation. Meanwhile, from the energy potential analysis based on the computed CF, only Kudat and Mersing display a promising potential to develop a medium capacity of wind turbine power, while the other sites may be suitable for wind turbines at a small scale. View Full-Text
Keywords: wind energy; capacity factor; Malaysia; power law index; wind atlas wind energy; capacity factor; Malaysia; power law index; wind atlas
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Albani, A.; Ibrahim, M.Z. Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia. Energies 2017, 10, 307.

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