On spatial estimation of wind energy potential in Malaysia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Statistical distribution for describing the wind speed at a particular location provides information about the wind energy potential which is available. In this paper, five different statistical distributions are fitted to the data of average hourly wind speed for 50 wind stations across the west and east Malaysia from the year 2000 to 2009. The distributions found to be most adequate for describing the wind speed at each particular station are determined based on several goodness of fit criteria. The spatial dependence in the data is investigated by making use of the semivariogram involving the expected speed found using the identified distribution for each individual station. Since the spatial dependence in the data of Peninsular Malaysia could not be described well by the semivariogram, the inverse distance weighting method is used for describing the spatial distribution of wind speed. For the data of East Malaysia, however, the power semivariogram is found to be fitted quite well. Accordingly, the kriging method is applied for spatial estimation. It is found that, the regions in the northeast, northwest and southeast of the peninsula have a good potential for wind energy. For East Malaysia, the southern region of Sarawak is found to be the most potential.

Original languageEnglish
Title of host publicationInternational Conference on Applied Mathematics, Simulation, Modelling - Proceedings
Pages140-145
Number of pages6
Publication statusPublished - 2011
Event5th International Conference on Applied Mathematics, Simulation, Modelling, ASM'11 - Corfu Island
Duration: 14 Jul 201116 Jul 2011

Other

Other5th International Conference on Applied Mathematics, Simulation, Modelling, ASM'11
CityCorfu Island
Period14/7/1116/7/11

Fingerprint

Wind Energy
Malaysia
Wind Speed
Semivariogram
Wind power
Spatial Dependence
Statistical Distribution
Kriging
Goodness of fit
Spatial Distribution
Weighting
Spatial distribution

Keywords

  • Inverse distance weighting method
  • Kriging
  • Semivariogram
  • Spatial estimation
  • Wind energy
  • Wind speed distribution

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation

Cite this

Masseran, N., Razali, A. M., Ibrahim, K., Wan Zin @ Wan Ibrahim, W. Z., & Zaharim, A. (2011). On spatial estimation of wind energy potential in Malaysia. In International Conference on Applied Mathematics, Simulation, Modelling - Proceedings (pp. 140-145)

On spatial estimation of wind energy potential in Malaysia. / Masseran, Nurulkamal; Razali, Ahmad Mahir; Ibrahim, Kamarulzaman; Wan Zin @ Wan Ibrahim, Wan Zawiah; Zaharim, Azami.

International Conference on Applied Mathematics, Simulation, Modelling - Proceedings. 2011. p. 140-145.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Masseran, N, Razali, AM, Ibrahim, K, Wan Zin @ Wan Ibrahim, WZ & Zaharim, A 2011, On spatial estimation of wind energy potential in Malaysia. in International Conference on Applied Mathematics, Simulation, Modelling - Proceedings. pp. 140-145, 5th International Conference on Applied Mathematics, Simulation, Modelling, ASM'11, Corfu Island, 14/7/11.
Masseran N, Razali AM, Ibrahim K, Wan Zin @ Wan Ibrahim WZ, Zaharim A. On spatial estimation of wind energy potential in Malaysia. In International Conference on Applied Mathematics, Simulation, Modelling - Proceedings. 2011. p. 140-145
Masseran, Nurulkamal ; Razali, Ahmad Mahir ; Ibrahim, Kamarulzaman ; Wan Zin @ Wan Ibrahim, Wan Zawiah ; Zaharim, Azami. / On spatial estimation of wind energy potential in Malaysia. International Conference on Applied Mathematics, Simulation, Modelling - Proceedings. 2011. pp. 140-145
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