BibTex RIS Kaynak Göster

Assessment of Wind Energy Potential Based on Metar Data in Malaysia

Yıl 2013, Cilt: 3 Sayı: 4, 959 - 968, 01.12.2013

Öz

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.

Kaynakça

  • 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 Malaysia”. Energy, Vol. 37, pp. 649-656, 2012.
  • M.R. Islam, R. Saidur and N.A. Rahim. “Assessment of wind energy potentiality Malaysia using Weibull distribution function”. Energy, Vol. 36, pp. 985-992, 2011.
  • at Kudat and Labuan,
  • 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 maps”. 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 power”. 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 studies”. 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 terrain”. Solar Energy, Vol. 46, pp. 283–294, 1991.
  • I. Landberg, N.G. Mortensen and E.L. Petersen. “Wind resource assessment and sitting- a wider perspective”. World directory of renewable energy suppliers and services, pp. 170–176, 1995.
  • A. Starkov and L. Landberg. “Wind Atlas of Russia”. Proceedings of the European wind energy conference, Nice-France, pp. 1128-1131, 1999.
  • R. Watson, and L. Landberg. “The Irish Wind Atlas”. 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, Turkey”. Renewable Energy, Vol. 30, pp. 1623–1633, 2005.
  • P. Jewer, M.T. Iqbal, and M.J. Khan. “Wind energy resource map of Labrador”. Renewable Energy, Vol. 30, pp. 989– 1004, 2005.
  • T. Wizelius. “Design and Implementation of a Wind Power Project”. Comprehensive Renewable Energy, Vol. 2, pp. 391–430, 2012.
  • R.H.B. Exell. “The wind energy potential of Thailand”. Solar Energy, Vol. 35, pp. 3-13, 1985.
  • R.H.B. Exell and T.F. Cheong. “The wind energy potential of Malaysia”. 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 Malaysia”. 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 [18] A.M. Dennis. The Long-Term Wind Resource.WindLogics, 2006. http://www.windlogics .com/wp-content/uploads/2012 The-Long-Term-Wind-Resource-Data-Sources-for-Pre dicting-the-Performance-of-Wind-Plants-Part-1.pdf
  • S.R. Arni and R. Srinivasa. “On Joint Weibull Probability Density Functions”. Applied Mathematics Letters, Vol. 18, pp. 1224–1227, 2005.
  • S.A. Ahmed. “Wind Energy As A Potential Generation Source At Ras Benas, Egypt”. 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 Island”. Wind Engineering, Vol. 37 (1), pp. 1-12, 2013.
  • I. Woofenden. “Wind Power For Dummies”. 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. Norizah and M. Syafrudin. “The evaluation of wind energy potential in Peninsular Malaysia”. International Journal of Chemical and Environmental Engineering, Vol. 2 (4), 2011.
Yıl 2013, Cilt: 3 Sayı: 4, 959 - 968, 01.12.2013

Öz

Kaynakça

  • 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 Malaysia”. Energy, Vol. 37, pp. 649-656, 2012.
  • M.R. Islam, R. Saidur and N.A. Rahim. “Assessment of wind energy potentiality Malaysia using Weibull distribution function”. Energy, Vol. 36, pp. 985-992, 2011.
  • at Kudat and Labuan,
  • 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 maps”. 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 power”. 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 studies”. 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 terrain”. Solar Energy, Vol. 46, pp. 283–294, 1991.
  • I. Landberg, N.G. Mortensen and E.L. Petersen. “Wind resource assessment and sitting- a wider perspective”. World directory of renewable energy suppliers and services, pp. 170–176, 1995.
  • A. Starkov and L. Landberg. “Wind Atlas of Russia”. Proceedings of the European wind energy conference, Nice-France, pp. 1128-1131, 1999.
  • R. Watson, and L. Landberg. “The Irish Wind Atlas”. 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, Turkey”. Renewable Energy, Vol. 30, pp. 1623–1633, 2005.
  • P. Jewer, M.T. Iqbal, and M.J. Khan. “Wind energy resource map of Labrador”. Renewable Energy, Vol. 30, pp. 989– 1004, 2005.
  • T. Wizelius. “Design and Implementation of a Wind Power Project”. Comprehensive Renewable Energy, Vol. 2, pp. 391–430, 2012.
  • R.H.B. Exell. “The wind energy potential of Thailand”. Solar Energy, Vol. 35, pp. 3-13, 1985.
  • R.H.B. Exell and T.F. Cheong. “The wind energy potential of Malaysia”. 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 Malaysia”. 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 [18] A.M. Dennis. The Long-Term Wind Resource.WindLogics, 2006. http://www.windlogics .com/wp-content/uploads/2012 The-Long-Term-Wind-Resource-Data-Sources-for-Pre dicting-the-Performance-of-Wind-Plants-Part-1.pdf
  • S.R. Arni and R. Srinivasa. “On Joint Weibull Probability Density Functions”. Applied Mathematics Letters, Vol. 18, pp. 1224–1227, 2005.
  • S.A. Ahmed. “Wind Energy As A Potential Generation Source At Ras Benas, Egypt”. 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 Island”. Wind Engineering, Vol. 37 (1), pp. 1-12, 2013.
  • I. Woofenden. “Wind Power For Dummies”. 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. Norizah and M. Syafrudin. “The evaluation of wind energy potential in Peninsular Malaysia”. International Journal of Chemical and Environmental Engineering, Vol. 2 (4), 2011.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Aliashim Albani Bu kişi benim

Mohd Zamri Bin Ibrahim Bu kişi benim

M. H.M Hamzah Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2013
Yayımlandığı Sayı Yıl 2013 Cilt: 3 Sayı: 4

Kaynak Göster

APA Albani, A., Ibrahim, M. Z. B., & Hamzah, M. H. (2013). Assessment of Wind Energy Potential Based on Metar Data in Malaysia. International Journal Of Renewable Energy Research, 3(4), 959-968.
AMA Albani A, Ibrahim MZB, Hamzah MH. Assessment of Wind Energy Potential Based on Metar Data in Malaysia. International Journal Of Renewable Energy Research. Aralık 2013;3(4):959-968.
Chicago Albani, Aliashim, Mohd Zamri Bin Ibrahim, ve M. H.M Hamzah. “Assessment of Wind Energy Potential Based on Metar Data in Malaysia”. International Journal Of Renewable Energy Research 3, sy. 4 (Aralık 2013): 959-68.
EndNote Albani A, Ibrahim MZB, Hamzah MH (01 Aralık 2013) Assessment of Wind Energy Potential Based on Metar Data in Malaysia. International Journal Of Renewable Energy Research 3 4 959–968.
IEEE A. Albani, M. Z. B. Ibrahim, ve M. H. Hamzah, “Assessment of Wind Energy Potential Based on Metar Data in Malaysia”, International Journal Of Renewable Energy Research, c. 3, sy. 4, ss. 959–968, 2013.
ISNAD Albani, Aliashim vd. “Assessment of Wind Energy Potential Based on Metar Data in Malaysia”. International Journal Of Renewable Energy Research 3/4 (Aralık 2013), 959-968.
JAMA Albani A, Ibrahim MZB, Hamzah MH. Assessment of Wind Energy Potential Based on Metar Data in Malaysia. International Journal Of Renewable Energy Research. 2013;3:959–968.
MLA Albani, Aliashim vd. “Assessment of Wind Energy Potential Based on Metar Data in Malaysia”. International Journal Of Renewable Energy Research, c. 3, sy. 4, 2013, ss. 959-68.
Vancouver Albani A, Ibrahim MZB, Hamzah MH. Assessment of Wind Energy Potential Based on Metar Data in Malaysia. International Journal Of Renewable Energy Research. 2013;3(4):959-68.