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A Seasonal Analysis of Potential Wind Power for Armidale NSW, Australia

Author

Listed:
  • Yasser Maklad

    (Civil and Environmental Engineering, School of Environmental and Rural Science, University of New England (UNE), Armidale. NSW. 2351. Australia)

  • Rex Glencross-Grant

    (Civil and Environmental Engineering, School of Environmental and Rural Science, University of New England (UNE), Armidale. NSW. 2351. Australia)

Abstract

In this study, wind characteristics and wind energy potential of Armidale, which is a regional rural city (the highest in Australia) in the Northern Tablelands of New South Wales (NSW) are examined and analysed utilizing mean daily wind velocity observations collected during the period 1994 to 2010. The wind velocity distribution curves of Armidale are obtained by utilizing the Weibull statistical probability density function based on the observed wind velocity data. Seasonal and monthly mean wind power at 10, 30, 50, and 70 metres heights. It concluded that Armidale is an eligible city for utilizing wind power as it has sufficient potential wind resource available. As a means of demonstrating such potential, a technical assessment is made for estimating electricity generation utilizing realistic wind turbine models of capacity 2300 kW, 2400 kW and 2500 Kw. The annual estimated electricity generation output and capacity factor produced for three different wind turbines are calculated and found to be significantly promising from generation and financial perspectives.

Suggested Citation

  • Yasser Maklad & Rex Glencross-Grant, 2014. "A Seasonal Analysis of Potential Wind Power for Armidale NSW, Australia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(1), pages 92-107.
    • Handle: RePEc:eco:journ2:2014-01-10
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    Citations

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    Cited by:

    1. Yasser Maklad, 2014. "Quantification and Costing of Domestic Electricity Generation for Armidale, New South Wales, Australia Utilising Micro Wind Turbines," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 208-219.
    2. Prasad, Abhnil A. & Taylor, Robert A. & Kay, Merlinde, 2017. "Assessment of solar and wind resource synergy in Australia," Applied Energy, Elsevier, vol. 190(C), pages 354-367.
    3. Yasser Maklad, 2014. "Sizing and Costing Optimisation of a Typical Wind/PV Hybrid Electricity Generation System for a Typical Residential Building in Urban Armidale NSW, Australia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 163-168.

    More about this item

    Keywords

    Renewable energy; wind energy; Weibull distributions; Armidale city; regional rural Australia; electricity rates;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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