Assessment of Wind Energy Potential Based on Metar Data in Malaysia

Aliashim Albani, Mohd Zamri Bin Ibrahim, M. H.M Hamzah

Abstract


Abstract- Wind energy is one of the fastest developing renewable energy technology. This is due to the vast resource of wind and also a green technology which does not emit any pollutants to the environment. The type of wind data used in this study is METAR data with duration from year 2005 till 2011. In peninsular Malaysia, the METAR data are available at Kota Bharu, Johor Bharu, Langkawi and Kuala Terengganu, while in the state of Sabah and Sarawak are at Sandakan, Miri, Kota Kinabalu, Kuching and Kudat. The wind speed and direction is analyzed using WAsP to generate wind rose chart and weibull distribution together with the wind power density . For wind power analysis, WindPRO software is used to determine annual energy production through simulation by using a single 22 kW rated power wind turbine as well as the capacity factor and full load hour. The result for wind data at 10 m height indicated that Kudat has the greatest wind energy potential in Malaysia with the highest wind power density of 21 W/m2 produced and Weibull scale parameter c of 2.8 m/s with shape parameter k of 1.74. The site also has the highest annual energy production at 14.6 MWh/year as well as highest capacity factor and full load hour at 7.6% and 661 hours/year respectively.

Keywords


Wind; WindPRO; WasP; METAR; Energy; Malaysia

Full Text:

PDF

References


K. Sopian, M.Y. Othman and A. Wirsat. “The wind energy potential of Malaysia†Renewable Energy, Vol. 6 (8), pp. 1005-1016, 1995.

N. Masseran, A.M. Razali, K. Ibrahim and W.Z. Wan Zin. “Evaluating the wind speed persistence for several wind stations in Peninsular Malaysiaâ€. Energy, Vol. 37, pp. 649-656, 2012.

M.R. Islam, R. Saidur and N.A. Rahim. “Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution functionâ€. Energy, Vol. 36, pp. 985-992, 2011.

B.M. Pacheco, N.E. Rosaria, R.E.R. Aquino and L.E.O. Garciano. “Historical review of wind speed maps in the Philippines for various purposes: toward further development and use as typhoon hazard mapsâ€. Proceeding 4th Civil Engineering Conference in the Asian Region (CECAR4), Taipei, Taiwan, 2007.

B.M. Pacheco, N.E. Rosaria, R.E.R. Aquino and L.E.O. Garciano. “Historical review of wind speed maps in the Philippines for various purposes: toward further development and use as typhoon hazard mapsâ€. Proceeding 4th Civil Engineering Conference in the Asian Region (CECAR4), Taipei, Taiwan, 2007.

B.M. Pacheco, N.E. Rosaria, R.E.R. Aquino and L.E.O. Garciano. “Historical review of wind speed maps in the Philippines for various purposes: toward further development and use as typhoon hazard mapsâ€. Proceeding 4th Civil Engineering Conference in the Asian Region (CECAR4), Taipei, Taiwan, 2007.

B.M. Pacheco, N.E. Rosaria, R.E.R. Aquino and L.E.O. Garciano. “Historical review of wind speed maps in the Philippines for various purposes: toward further development and use as typhoon hazard mapsâ€. Proceeding 4th Civil Engineering Conference in the Asian Region (CECAR4), Taipei, Taiwan, 2007.

B.G. Brown, R.W. Katz, and A.A. Murphy. “Time series models to simulate and forecast wind speed and wind powerâ€. Journal of Applied Meteorology and Climatology, Vol. 23, pp. 1184–1195, 1984.

M. Blanchard and G. Desrechors. “Generation of auto-correlated wind speeds for wind energy conversion system studiesâ€. Solar Energy, Vol. 33, pp. 571–579, 1984.

J.C. Bernard. “An evaluation of three models designed for sitting wind turbines in areas of complex terrainâ€. Solar Energy, Vol. 46, pp. 283–294, 1991.

I. Landberg, N.G. Mortensen and E.L. Petersen. “Wind resource assessment and sitting- a wider perspectiveâ€. World directory of renewable energy suppliers and services, pp. 170–176, 1995.

A. Starkov and L. Landberg. “Wind Atlas of Russiaâ€. Proceedings of the European wind energy conference, Nice-France, pp. 1128-1131, 1999.

R. Watson, and L. Landberg. “The Irish Wind Atlasâ€. Proceedings of the European wind energy conference, Nice, France. pp. 1097–1100, 1999.

B. Ozerdem and H.M. Turkeli. “Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkeyâ€. Renewable Energy, Vol. 30, pp. 1623–1633, 2005.

P. Jewer, M.T. Iqbal, and M.J. Khan. “Wind energy resource map of Labradorâ€. Renewable Energy, Vol. 30, pp. 989– 1004, 2005.

T. Wizelius. “Design and Implementation of a Wind Power Projectâ€. Comprehensive Renewable Energy, Vol. 2, pp. 391–430, 2012.

R.H.B. Exell. “The wind energy potential of Thailandâ€. Solar Energy, Vol. 35, pp. 3-13, 1985.

R.H.B. Exell and T.F. Cheong. “The wind energy potential of Malaysiaâ€. Solar Energy, Vol. 36, pp. 81-289, 1986.

A.M. Muzathik, W.B.W. Nik, M.Z. Ibrahim and K.B. Sakmo. “Wind Resource Investigation of Terengganu in the West Malaysiaâ€. Wind Engineering, Vol. 33 (4), pp, 389-402, 2009.

Hong Kong Observatory, The Government of the Hong Kong Special Administrative Region. Decoding Aviation Weather Report (METAR/SPECI), 2012.

http://www.weather.gov.hk/aviat/decode_metar_e.htm

A.M. Dennis. The Long-Term Wind Resource.WindLogics, 2006. http://www.windlogics.com/wp-content/uploads/2012/04/WindLogics2008-The-Long-Term-Wind-Resource-Data-Sources-for-Predicting-the-Performance-of-Wind-Plants-Part-1.pdf

S.R. Arni and R. Srinivasa. “On Joint Weibull Probability Density Functionsâ€. Applied Mathematics Letters, Vol. 18, pp. 1224–1227, 2005.

S.A. Ahmed. “Wind Energy As A Potential Generation Source At Ras Benas, Egyptâ€. Renewable And Sustainable Energy Reviews, Vol. 14, pp. 2167-2173, 2010.

P. Jain. Wind Energy Engineering (Ebook). Mcgraw Hill, 2011.

A. Albani, M.Z. Ibrahim, K.H. Yong and A.M. Muzathik. “Wind Energy Potential Investigation and Micrositing in Langkawi Islandâ€. Wind Engineering, Vol. 37 (1), pp. 1-12, 2013.

I. Woofenden. “Wind Power For Dummiesâ€. Wiley Publisher. ISBN 978-0-470-49637-4, 2009.

Australian Institute Of Energy (AIE). Fact Sheet 7: Wind Energy.http://aie.org.au/content/navigationmenu/resources/schoolprojects/fs7_wind _energy.pdf.

M.R.S. Siti, M. , M. Norizah and M. Syafrudin. “The evaluation of wind energy potential in Peninsular Malaysiaâ€. International Journal of Chemical and Environmental Engineering, Vol. 2 (4), 2011.




DOI (PDF): https://doi.org/10.20508/ijrer.v3i4.944.g6234

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4