Performance Assessment of Two-parameter Weibull Distribution Methods for Wind Energy Applications in the District of Maroua in Cameroon

Authors

  • dieudonn kidmo Higher Institute of the Sahel, University of Maroua, Cameroon, PO Box 46 Maroua, CAMEROON
  • Serge Yamigno Doka Department of Physics, Higher Teacher
  • Danw Raidandi Department of Mechanical Engineering, National Advanced Polytechnic School, University of Yaound
  • No Djongyang Higher Institute of the Sahel, University of Maroua, Cameroon, PO Box 46 Maroua, CAMEROON

Keywords:

Empirical method, Energy pattern factor method, graphical method, maximum likelihood method, modified maximum likelihood method, wind speed, Weibul distribution.

Abstract

Wind speed is the most important parameter to be considered when designing wind energy conversion systems (WECS), since its probability density distribution greatly affects the performance. In this paper, five numerical methods were analysed and their performance evaluated for effectiveness in determining the parameters for the Weibull distribution. Twenty eight years (1985

Author Biographies

dieudonn kidmo, Higher Institute of the Sahel, University of Maroua, Cameroon, PO Box 46 Maroua, CAMEROON

Lecturer, Department of Renewable Energy

Serge Yamigno Doka, Department of Physics, Higher Teacher

Senior Lecturer, Department of Physics, Higher Teacher

Danw Raidandi, Department of Mechanical Engineering, National Advanced Polytechnic School, University of Yaound

Assistant Professor, Department of Mechanical Engineering

No Djongyang, Higher Institute of the Sahel, University of Maroua, Cameroon, PO Box 46 Maroua, CAMEROON

Senior Lecturer, Department of Renewable Energy

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Published

2014-07-12

How to Cite

kidmo, dieudonn, Doka, S. Y., Raidandi, D., & Djongyang, N. (2014). Performance Assessment of Two-parameter Weibull Distribution Methods for Wind Energy Applications in the District of Maroua in Cameroon. International Journal of Sciences: Basic and Applied Research (IJSBAR), 17(1), 39–59. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/2450

Issue

Vol. 17 No. 1 (2014)

Section

Articles

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