Title of article :
Use of Rayleigh Distribution Method for Assessment of Wind Energy Output in Cleveland–Ohio
Author/Authors :
Gorla, RSR Cleveland State University- Cleveland, Ohio, USA , K. Pallikonda, M. Cleveland State University, Cleveland, Ohio, USA , Walunj, G. Cleveland State University - Cleveland, Ohio, USA
Abstract :
In the developed world, energy is one of the major factors and research is focusing on renewable energy. The global warming, CO2, NOX and limited fossil fuel are the research areas that are important. Renewable energy may be generated by wind, water, wave, solar and biomass. In this article, we are studying the wind energy availability for Cleveland, Ohio area. A statistical method using the Rayleigh probability distribution function is used to estimate the mean wind speed and thus calculate the annual energy output from a windmill. Furthermore, the annual energy output calculated from Rayleigh PDF is compared with the actual energy output from the observed historical data for the period 2009-2018
Keywords :
wind energy , Ohio , rayleigh
Journal title :
Renewable Energy Research and Applications
