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

Volume: 3 Number: 1 March 1, 2013
  • Christopher Okechukwu Izelu
  • Orobome Larry Agberegha
  • Olusola Bode Oguntuberu
EN

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

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.

Keywords

References

  1. De Renzo, D.J., Wind Power: Developments, Noyes Data Corporation, New Jersey, pp.5-7, 1979
  2. Gipe, P., Wind Energy Comes of Age, John Wiley & Sons, London, pp.12-13, 1995.
  3. 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
  4. Avenue of The Americas, New York, pp.394-375, 287- , 2002.
  5. 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.
  6. GWEC, Global Wind 2006 Report, Global Wind Energy Council, 2007.
  7. 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.
  8. 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.

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Christopher Okechukwu Izelu This is me

Orobome Larry Agberegha This is me

Olusola Bode Oguntuberu This is me

Publication Date

March 1, 2013

Submission Date

February 3, 2016

Acceptance Date

-

Published in Issue

Year 2013 Volume: 3 Number: 1

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. https://izlik.org/JA68RR47ED
AMA
1.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):180-185. https://izlik.org/JA68RR47ED
Chicago
Izelu, Christopher Okechukwu, Orobome Larry Agberegha, and Olusola Bode Oguntuberu. 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): 180-85. https://izlik.org/JA68RR47ED.
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
[1]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, Mar. 2013, [Online]. Available: https://izlik.org/JA68RR47ED
ISNAD
Izelu, Christopher Okechukwu - Agberegha, Orobome Larry - Oguntuberu, Olusola Bode. “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 1, 2013): 180-185. https://izlik.org/JA68RR47ED.
JAMA
1.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, Mar. 2013, pp. 180-5, https://izlik.org/JA68RR47ED.
Vancouver
1.Christopher Okechukwu Izelu, Orobome Larry Agberegha, 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 [Internet]. 2013 Mar. 1;3(1):180-5. Available from: https://izlik.org/JA68RR47ED