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Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function

Year 2013, Volume: 3 Issue: 1, 180 - 185, 01.03.2013

Abstract

Abstract- The development and sitting of wind energy conversion systems, for electrical power generation and other applications, in various states of the Federal Republic of Nigeria demand proper wind resource assessment of the project sites. This paper therefore presents an assessment of wind resource for wind energy utilization in Port Harcourt, River State, Nigeria. The average monthly wind velocity data, obtained from the Nigerian Meteorological Agency, Port Harcourt, River State, Nigeria, was used, in conjunction with the logarithmic profile equation, to determine wind velocity data at a desired hub height, and with the Rayliegh probability distribution function, a form of Weibull probability distribution function, to determine wind velocity and energy distribution. The results obtained include the wind velocity distribution, wind energy distribution, and the optimum average wind velocity of 17.75 m/s at an altitude of 50 m, which corresponds to the optimum power density or yield of 1370.13 W/m2. The results also revealed a maximum power density or yield of 10731.08 W/m2. This amount of energy corresponds to a maximum average wind velocity of 35.25 m/s beyond which the power density drops off. These results are quite adequate and indicative of high wind energy potentials for Port Harcourt, River State, Nigeria.

References

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Year 2013, Volume: 3 Issue: 1, 180 - 185, 01.03.2013

Abstract

References

  • De Renzo, D.J., Wind Power: Developments, Noyes Data Corporation, New Jersey, pp.5-7, 1979
  • Gipe, P., Wind Energy Comes of Age, John Wiley & Sons, London, pp.12-13, 1995.
  • Gipe, P., “Wind Stats Newsletter”, vol. 10, No. 2, p 8, Boles, M.A. and Cengel, Y.A., Thermodynamics: An Engineering Approach, McGraw Hill Publishers, 1221
  • Avenue of The Americas, New York, pp.394-375, 287- , 2002.
  • Stiebler, M., Wind Energy systems for Electric Power Generation, Springer Publishers, Berlin, pp. 1 - 9, 11 - 23, NEED, Exploring Wind Energy - Student Guide, the NEED Projects, pp 10 - 16, 2007.
  • GWEC, Global Wind 2006 Report, Global Wind Energy Council, 2007.
  • TCOPA, Wind Energy, the Energy Report, pp 159 - 182, RETScreen, Wind Energy Project Analysis, Clean Energy Project Analysis: RETScreen Engineering and Cases Textbook, RETScreen International Clean Energy Decision Support center, pp 3 - 28, 2004.
  • Hesling, S., Renewable Energy Trailer: Wind Turbine and Power Storage and Management Systems - specification, Design, Manufacture and Testing, School of Engineering and Physical Scientists, Herriot Watt University, Edinburgh, 2006.
  • Jamdade, S. G. and Jamdade, P. G., “Analysis of Wind Speed Data for Four Locations in Ireland Based on Weibull Distribution’s linear regression Model”, Vol. 2, No. 3, PP 451 - 455, 2012.
  • Al-Shemmeri, T., Wind Turbines, Case Study, T. Al-Shemmeri Bookboon.com, pp. 76 - 87, 2010. Ventus Publishing ApS, Appendix
There are 10 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Christopher Okechukwu Izelu This is me

Orobome Larry Agberegha This is me

Olusola Bode Oguntuberu This is me

Publication Date March 1, 2013
Published in Issue Year 2013 Volume: 3 Issue: 1

Cite

APA Izelu, C. O., Agberegha, O. L., & Oguntuberu, O. B. (2013). Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function. International Journal Of Renewable Energy Research, 3(1), 180-185.
AMA Izelu CO, Agberegha OL, Oguntuberu OB. Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function. International Journal Of Renewable Energy Research. March 2013;3(1):180-185.
Chicago Izelu, Christopher Okechukwu, Orobome Larry Agberegha, and Olusola Bode Oguntuberu. “Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function”. International Journal Of Renewable Energy Research 3, no. 1 (March 2013): 180-85.
EndNote Izelu CO, Agberegha OL, Oguntuberu OB (March 1, 2013) Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function. International Journal Of Renewable Energy Research 3 1 180–185.
IEEE C. O. Izelu, O. L. Agberegha, and O. B. Oguntuberu, “Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function”, International Journal Of Renewable Energy Research, vol. 3, no. 1, pp. 180–185, 2013.
ISNAD Izelu, Christopher Okechukwu et al. “Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function”. International Journal Of Renewable Energy Research 3/1 (March 2013), 180-185.
JAMA Izelu CO, Agberegha OL, Oguntuberu OB. Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function. International Journal Of Renewable Energy Research. 2013;3:180–185.
MLA Izelu, Christopher Okechukwu et al. “Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function”. International Journal Of Renewable Energy Research, vol. 3, no. 1, 2013, pp. 180-5.
Vancouver Izelu CO, Agberegha OL, Oguntuberu OB. Wind Resource Assessment for Wind Energy Utilization in Port Harcout, River State, Nigeria, Based on Weibull Probability Distribution Function. International Journal Of Renewable Energy Research. 2013;3(1):180-5.