Integrated approach for the determination of an accurate wind-speed distribution model

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The distribution model of wind-speed data is critical for the assessment of wind-energy potential because it reduces uncertainties in the estimation of wind power output. Thus, an accurate distribution model for describing wind-speed data should be determined before a detailed analysis of energy potential is conducted. In this study, information from several goodness-of-fit criteria, e.g., the R2 coefficient, Kolmogorov–Smirnov statistic, Akaike's information criterion, and deviation in skewness/kurtosis were integrated for the conclusive selection of the best-fit distribution model of wind-speed data. The proposed approach integrates standardized scores and subjects each criterion to multiplicative aggregation. The approach was applied in a case study to fit eight statistical distributions to hourly wind-speed data collected at two stations in Malaysia. The results showed that the proposed approach provides a good basis for the selection of the optimal wind-speed distribution model. Furthermore, graphical representations agreed with the analytical results.

Original languageEnglish
Pages (from-to)56-64
Number of pages9
JournalEnergy Conversion and Management
Volume173
DOIs
Publication statusPublished - 1 Oct 2018

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Wind power
Potential energy
Agglomeration
Statistics
Uncertainty

Keywords

  • Goodness of fit
  • Multi-criteria evaluation
  • Multiplicative aggregation
  • Ranking score
  • Wind-speed modeling

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

Integrated approach for the determination of an accurate wind-speed distribution model. / Masseran, Nurulkamal.

In: Energy Conversion and Management, Vol. 173, 01.10.2018, p. 56-64.

Research output: Contribution to journalArticle

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