Document Type : Original Article

Authors

1 Cleveland State University, Cleveland, Ohio, USA.

2 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

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Main Subjects

[1] M. Z. Jacobson et al., “100% clean and renewable wind, water, and sunlight (WWS) all-sector energy roadmaps for the 50 United States,” Energy Environ. Sci., vol. 8, no. 7, pp. 2093–2117, 2015.
 [2] United Nations. “Energy - United Nations Sustainable Development.” United Nations, 2019, www.un.org/sustainabledevelopment/energy/.
 [3] Alroza Khaligh, and Omar G. Onar, Energy Harvesting: Solar, Wind and Ocean Energy Conversion Systems, Taylor and Francis Group, LLC, New York (2010), pp. 101-109.
 [4] A. D. Mekonnen and P. V. Gorsevski, “A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio,” Renew. Sustain. Energy Rev., vol. 41, pp. 162–177, 2015.
 [5] Ohio Environmental Council. “Ohio Wind.” Ohio Environmental Council, 2019, theoec.org/ohiowind/.
[6] P. S. Grewal and P. S. Grewal, “Can cities become self-reliant in energy? A technological scenario analysis for Cleveland, Ohio,” Cities, vol. 31, no. 2013, pp. 404–411, 2013.
 [7] H. Al Buhairi, Mahyoub. (2006). A statistical analysis of wind speed data and an assessment of wind energy potential in Taiz-Yemen.
[8] National Centers for Environmental Information wind data (2019) [data file], retrieved from