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Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand

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  • Ayodele, T.R.
  • Ogunjuyigbe, A.S.O.

Abstract

In this paper, the wind energy potential of Vesleskarvet in Antarctica is assessed and the possibility of meeting the energy needs of South African׳s SANAE IV located in Vesleskarvet using the wind resource of the site is presented. The data used for the study consists of daily average wind speed, temperature and atmospheric pressure collected over a period of eleven years (2001–2012) at an anemometer height of 10m. The data is obtained from South African Weather Services and the analysis is performed using statistical approach. Some commercially available wind turbine ranging from 10kW to 1650kW are simulated using HOMER simulation software in different scenario to determine the combination of wind turbine, battery and power electronic converter that could meet the electrical energy demand of SANAE IV with lowest Net Present Cost (NPC) and the Cost of Energy (COE) over 25 year life cycle of the project. The results show that Vesleskarvet has exceptional wind resource with average wind speed of 10.9m/s and standard deviation of 6.3m/s. The minimum wind speed in the period under study is 0m/s and maximum value of 41.9m/s. The average wind potential density (2001–2001) is 1650W/m2. The HOMER optimization result reveals that 15 numbers of PGE20/25 wind turbine with rated power of 25kW, hub height of 25m, cut in wind speed of 3.5m/s, rated wind speed of 9m/s and cut-out wind speed of 25m/s seems suitable to meet the electrical energy demand of SANAE IV with NPC of $1,336,262, operating cost of $976,500 and COE of $0.102.

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  • Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2016. "Wind energy potential of Vesleskarvet and the feasibility of meeting the South African׳s SANAE IV energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 226-234.
    • Handle: RePEc:eee:rensus:v:56:y:2016:i:c:p:226-234
    DOI: 10.1016/j.rser.2015.11.053
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    1. Demiroren, A. & Yilmaz, U., 2010. "Analysis of change in electric energy cost with using renewable energy sources in Gökceada, Turkey: An island example," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 323-333, January.
    2. Nigim, K.A. & Parker, Paul, 2007. "Heuristic and probabilistic wind power availability estimation procedures: Improved tools for technology and site selection," Renewable Energy, Elsevier, vol. 32(4), pages 638-648.
    3. Irwanto, M. & Gomesh, N. & Mamat, M.R. & Yusoff, Y.M., 2014. "Assessment of wind power generation potential in Perlis, Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 296-308.
    4. Tin, Tina & Sovacool, Benjamin K. & Blake, David & Magill, Peter & El Naggar, Saad & Lidstrom, Sven & Ishizawa, Kenji & Berte, Johan, 2010. "Energy efficiency and renewable energy under extreme conditions: Case studies from Antarctica," Renewable Energy, Elsevier, vol. 35(8), pages 1715-1723.
    5. Kucukali, Serhat & Dinçkal, Çiğdem, 2014. "Wind energy resource assessment of Izmit in the West Black Sea Coastal Region of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 790-795.
    6. Celik, Ali Naci, 2004. "A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey," Renewable Energy, Elsevier, vol. 29(4), pages 593-604.
    7. Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
    8. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2009. "Feasibility analysis of renewable energy supply options for a grid-connected large hotel," Renewable Energy, Elsevier, vol. 34(4), pages 955-964.
    9. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    10. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.
    11. Olivier, Jürgen R. & Harms, Thomas M. & Esterhuyse, Daniël J., 2008. "Technical and economic evaluation of the utilization of solar energy at South Africa's SANAE IV base in Antarctica," Renewable Energy, Elsevier, vol. 33(5), pages 1073-1084.
    12. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
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