Int. J. of Industrial and Systems Engineering   »   2011 Vol.9, No.2

 

 

Title: Analysis of wind power potentials at selected airport locations in Canada

 

Authors: Quazi K. Hassan; Ahad Ali; Navdeep S. Sekhon; Xin Wang

 

Addresses:
Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. N.W., Calgary, Alberta T2N 1N4, Canada
A. Leon Linton Department of Mechanical Engineering, Lawrence Technological University, 21000 W Ten Mile Road, Southfield, MI 48075, USA
Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. N.W., Calgary, Alberta T2N 1N4, Canada
Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. N.W., Calgary, Alberta T2N 1N4, Canada

 

Abstract: Wind power has huge potential as a source of sustainable/renewable energy. In this paper, we analysed wind speed data from 21 major Canadian airports over 1971–2000 to determine the top four locations (i.e. having long-term annual average wind speed greater than 4.83 m s-1 at a height of 10 m) for further analysis. We employed Weibull probability density function to fit with the actual probability density (i.e. relative frequency distribution) of the hourly wind speed data for the year 2005. The parameters of Weibull probability function were found location-specific and then used to predict the probability density from 2006 to 2008, and found strong relations (i.e. r2-values in the range 0.83–0.94) existed with the measured probability density. On the one hand, our simulation also indicated that location of St. John’s, Newfoundland and Labrador could produce the highest amount of total annual power (i.e. 883,993 kWh), and Charlottetown, Prince Edward Island, on the other hand, could produce the least amount (i.e. 344,508 kWh in total, annually).

 

Keywords: wind speed; modelling; simulation; Weibull probability density function; sustainability; renewable energy; airports; Canada; wind energy; wind power.

 

DOI: 10.1504/IJISE.2011.042832

 

Int. J. of Industrial and Systems Engineering, 2011 Vol.9, No.2, pp.150 - 162

 

Available online: 05 Oct 2011

 

 

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