Statistical estimation for fitting wind speed distribution

Srinjoy Nag Chowdhury, Saniya Dhawan

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

Abstract

Wind energy is a prime sector of the composite renewable energy sector which is supposed to be the prime energy producing force in years to come [1]. The ever increasing demand of wind energy and its renewable nature has led to an emphatic push in development of this sector. Wind speed has been one of those important parameters which form the basic element for design of any wind energy system. Thus, in order to build effective systems, exemplary assessment of wind speed deviation is single handedly the most mandatory parameter that is required to be studied. This leads us to investigate probability density functions which are used to describe wind speed frequency distributions. In this paper, we have modeled wind speed characteristics with respect to Weibull, Rayleigh, Gamma distributions and have simultaneously compared them with respect to statistical parameters such as Chi-square error test, Root mean square error and R2 test as ruling criteria to evaluate the pertinence of the respective distribution functions. Weibull and Gamma give a good fit with Weibull giving a better fit.

Original languageEnglish
Title of host publication2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages34-37
Number of pages4
ISBN (Electronic)9781509015344
DOIs
Publication statusPublished - 04-10-2016
Externally publishedYes
Event2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016 - Nagercoil, India
Duration: 07-04-201608-04-2016

Conference

Conference2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016
CountryIndia
CityNagercoil
Period07-04-1608-04-16

Fingerprint

Wind power
Mean square error
Probability density function
Distribution functions
Composite materials

All Science Journal Classification (ASJC) codes

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

Cite this

Chowdhury, S. N., & Dhawan, S. (2016). Statistical estimation for fitting wind speed distribution. In 2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016 (pp. 34-37). [7582895] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEETS.2016.7582895
Chowdhury, Srinjoy Nag ; Dhawan, Saniya. / Statistical estimation for fitting wind speed distribution. 2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 34-37
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Chowdhury, SN & Dhawan, S 2016, Statistical estimation for fitting wind speed distribution. in 2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016., 7582895, Institute of Electrical and Electronics Engineers Inc., pp. 34-37, 2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016, Nagercoil, India, 07-04-16. https://doi.org/10.1109/ICEETS.2016.7582895

Statistical estimation for fitting wind speed distribution. / Chowdhury, Srinjoy Nag; Dhawan, Saniya.

2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 34-37 7582895.

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

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Chowdhury SN, Dhawan S. Statistical estimation for fitting wind speed distribution. In 2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 34-37. 7582895 https://doi.org/10.1109/ICEETS.2016.7582895