Work

On the derivation of an analytical expression for wind power probability distribution function and capacity factor of turbine

Year: 2024

Type: article

Abstract: It is shown here that if the PDF (Probability Distribution Function) of wind speed is a Rayleigh distribution with parameter s, then the PDF of wind power is a Weibull distribution with parameters a=2ρs3,b=23, where ρ is the air density; if the wind speed PDF is a Weibull distribution with parameters a,b, then the wind power PDF is also a Weibull distribution with parameters a3ρ2,b3; if the PDF of wind speed is a log-normal distribution with parameters μ,σ, then the PDF of wind power is also a log-normal distribution with parameters lnρ2+3μ,3σ. The derived relationships allow us to quickly estimate parameters that indicate the wind power potential of the considered site, and the amount of wind energy generated by the turbine.

Source: International Journal of Sustainable Energy

DOI: 10.1080/14786451.2024.2390447

Authors: Emin Gardashov, Rauf Gardashov

Institutions: Institute of Geology and Geophysics, Université de Strasbourg, Institute of Geography

Language: English

Topic: Wind Energy Research and Development

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W4401655088

FWCI: 0.528

Cites: 13

Cited by: 3

Related to: 10