An analysis of wind power density derived from several wind speed density functions: The regional assessment on wind power in Malaysia

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Abstract

In wind turbine design and site planning, the probability distribution of wind speed becomes critically important in estimating energy production. The utilization of accurate distribution will minimize the uncertainty in wind resource estimates, and consequently, it will improve the result in the site assessment phase of planning. In general, different region will have different wind regime. Hence, it is reasonable that different wind speed distribution will be found for different region. In this study, the features of wind power density based on the dependency of the suitable wind speed density have been obtained analytically using transformation technique. Since the wind power density has been obtained, the mean power density which is referred as an important indices related to the estimation of potential wind energy have been obtained by using the concept of raw moment and Monte Carlo approach. An analysis of semivariogram indicates the lack of spatial correlation of the wind power in Malaysia. The map of the mean power density over Malaysia indicates that several regions such as northeast, northwest and southeast region of Peninsular Malaysia and southern region of Sabah are found as the best region to be further investigated in the future for the wind energy development.

Original languageEnglish
Pages (from-to)6476-6487
Number of pages12
JournalRenewable and Sustainable Energy Reviews
Volume16
Issue number8
DOIs
Publication statusPublished - Oct 2012

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Wind power
Probability density function
Planning
Wind turbines
Probability distributions

Keywords

  • Semivariogram
  • Spatial correlation
  • Spatial estimation
  • Wind power
  • Wind power density function
  • Wind speed density function

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

@article{57fee21167324b9ca47b28a0dc2ce641,
title = "An analysis of wind power density derived from several wind speed density functions: The regional assessment on wind power in Malaysia",
abstract = "In wind turbine design and site planning, the probability distribution of wind speed becomes critically important in estimating energy production. The utilization of accurate distribution will minimize the uncertainty in wind resource estimates, and consequently, it will improve the result in the site assessment phase of planning. In general, different region will have different wind regime. Hence, it is reasonable that different wind speed distribution will be found for different region. In this study, the features of wind power density based on the dependency of the suitable wind speed density have been obtained analytically using transformation technique. Since the wind power density has been obtained, the mean power density which is referred as an important indices related to the estimation of potential wind energy have been obtained by using the concept of raw moment and Monte Carlo approach. An analysis of semivariogram indicates the lack of spatial correlation of the wind power in Malaysia. The map of the mean power density over Malaysia indicates that several regions such as northeast, northwest and southeast region of Peninsular Malaysia and southern region of Sabah are found as the best region to be further investigated in the future for the wind energy development.",
keywords = "Semivariogram, Spatial correlation, Spatial estimation, Wind power, Wind power density function, Wind speed density function",
author = "Nurulkamal Masseran and Razali, {Ahmad Mahir} and Kamarulzaman Ibrahim",
year = "2012",
month = "10",
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language = "English",
volume = "16",
pages = "6476--6487",
journal = "Renewable and Sustainable Energy Reviews",
issn = "1364-0321",
publisher = "Elsevier Limited",
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T1 - An analysis of wind power density derived from several wind speed density functions

T2 - The regional assessment on wind power in Malaysia

AU - Masseran, Nurulkamal

AU - Razali, Ahmad Mahir

AU - Ibrahim, Kamarulzaman

PY - 2012/10

Y1 - 2012/10

N2 - In wind turbine design and site planning, the probability distribution of wind speed becomes critically important in estimating energy production. The utilization of accurate distribution will minimize the uncertainty in wind resource estimates, and consequently, it will improve the result in the site assessment phase of planning. In general, different region will have different wind regime. Hence, it is reasonable that different wind speed distribution will be found for different region. In this study, the features of wind power density based on the dependency of the suitable wind speed density have been obtained analytically using transformation technique. Since the wind power density has been obtained, the mean power density which is referred as an important indices related to the estimation of potential wind energy have been obtained by using the concept of raw moment and Monte Carlo approach. An analysis of semivariogram indicates the lack of spatial correlation of the wind power in Malaysia. The map of the mean power density over Malaysia indicates that several regions such as northeast, northwest and southeast region of Peninsular Malaysia and southern region of Sabah are found as the best region to be further investigated in the future for the wind energy development.

AB - In wind turbine design and site planning, the probability distribution of wind speed becomes critically important in estimating energy production. The utilization of accurate distribution will minimize the uncertainty in wind resource estimates, and consequently, it will improve the result in the site assessment phase of planning. In general, different region will have different wind regime. Hence, it is reasonable that different wind speed distribution will be found for different region. In this study, the features of wind power density based on the dependency of the suitable wind speed density have been obtained analytically using transformation technique. Since the wind power density has been obtained, the mean power density which is referred as an important indices related to the estimation of potential wind energy have been obtained by using the concept of raw moment and Monte Carlo approach. An analysis of semivariogram indicates the lack of spatial correlation of the wind power in Malaysia. The map of the mean power density over Malaysia indicates that several regions such as northeast, northwest and southeast region of Peninsular Malaysia and southern region of Sabah are found as the best region to be further investigated in the future for the wind energy development.

KW - Semivariogram

KW - Spatial correlation

KW - Spatial estimation

KW - Wind power

KW - Wind power density function

KW - Wind speed density function

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