International Journal of Renewable Energy Research-IJRER
Assessment of the Offshore Wind Speed Distributions at Selected Stations in the South-West Coast, Nigeria
Abstract
This paper assessed the offshore wind speed distributions at 10 m height in the southwest coast of Nigeria using a high-resolution satellite observations at 0.25˚ spatial grid resolution. Satellite wind speed and direction recorded over a 10-year period (2002–2011) were derived from the CCMP L3.0 data. The monthly, seasonal and annual wind characteristics for energy conversion based on three probability distributions were assessed. The Rician and Weibull models gave better fitting of the offshore wind speed at the southwest coast compared to the Rayleigh model. Results also revealed that the monthly mean wind speed variation exhibits a rather non-monotonic trend across different grid points driven by changes in the weather system activities while further investigation reveals higher wind speed and power density at the coastal region than over land in the northern Nigeria. The monthly mean wind speed recorded at the coastal region ranges between 4.99 and 5.56 m/s, 5.32 m/s for the interannual mean wind speed with the summer (JJA) and autumn (SON) mean wind speed distributions ranging from 6.11–6.76 m/s and 4.86–6.17 m/s, respectively, at 10 m height asl. The coastal wind speed distributions show that energy conversion at the southwest region of Nigeria is viable.
Keywords
Full Text:
PDFReferences
S.C. Pryor, R.J. Barthelemie and J.T. Schoof, Interannual variability of wind indices across Europe. Wind Energy, 9, pp. 27–38, 2005
R. Vautard, J. Cattiaux, P. Yiou, J.N. Thépaut, and P. Ciais; Northern Hemisphere atmospheric stilling partly attributed to an increase in surface roughness, Nature Geoscience, 3(17), pp. 756-761, 2010, doi:10.1038/NGE0979.
A. Smits, Klein-Tank, A. M. G. & Können, G. P. Trends in storminess across the Netherlands, 1962–2002. Int. J. Climatol. 25, pp. 1331–1344, 2005.
T. R. McVicar et al. Wind speed climatology and trends for Australia, 1975–2006: Capturing the stilling phenomenon and comparison with near-surface reanalysis output. Geophys. Research Letter, 35, 2008. doi:10.1029/2008GL035627.
D. J. Seidel, Fu, Q., Randel, W. J. & Reichler, T. J. Widening of the tropical belt in a changing climate. Nature Geosci. 1, 21–24, 2008.
J. Lu, Vecchi, G. A. & Reichler, T. Expansion of the Hadley cell under global warming. Geophys. Res. Lett. 34, L06805, 2007.
A.T. DeGaetano, Identification and implications of biases in US surface wind observation, archival, and summarization methods. Theor. Appl. Climatol. 60, pp. 151–162, 1998.
H. Guo, M. Xu, and H. Qi., Changes in near- surface wind speed in China: 1969-2005, Int. Journal of Climatology, 30, 2010:. doi:10.1002/joc.2091.
M. Xu, et al. Steady decline of East Asian monsoon winds, 1961-2000: Evidence from direct measurements of wind speed. Journal of Geophysical Research, Vol. 111, 2006 doi:10.1029/2006JD007337
Y. Jiang, Y. Luo, Z. Zhao, et al., Changes in wind speed across China during 1956-2004. Theor. Appl. Climatology, Vol. 99, 421-430, doi:10.1007/s00704-009-0152-7, 2010:
A. Smits, Klein-Tank, A. M. G. & Können, G. P. Trends in storminess across the Netherlands, 1962–2002. Int. J. Climatol. 25, 1331–1344 (2005)
T. R. McVicar, et al. Wind speed climatology and trends for Australia, 1975–2006: Capturing the stilling phenomenon and comparison with near-surface reanalysis output. Geophysical Research Letter, 35, 2008, doi:10.1029/2008GL035627
R. Brazdil, et al. Climate fluctuations in the Czech Republic during the period 1961–2005. Int. J. Climatol. 29, 223–242, 2009.
P.A. Pirazzoli and A. Tomasin. Recent near-surface wind changes in the Central Mediterranean and Adriatic areas. Int. J. Climatol. 23, 963–973 (2003).
A. Parajulıa, Statistical Analysis on Wind Speed and Power Density Based on Weibull and Rayleigh Models of Jumla, Nepal. Energy and Power Engineering (EPE), 8, PP. 271-282, 2016
Transmission Company of Nigeria operational report, pp. 1, 2016, www.nsong.org; Accessed date: 2016-10-15.
Nguyen D.L., A Brief crossview on Assessments of Wind Energy Resource Potential in Vietnam, J. Fundamental Renewable Energy and Application, 4:132, 2014. doi:10.4172/2090-4541.1000132.
I.C. Okechukwu, A.O. Larry, O.B. Oguntuberu, Wind Resource Assessment for Wind Energy Utilization in Port Harcourt, River State, Nigeria, Based on Weibull Probability Distribution Function, Internatıonal Journal of Renewable Energy Research, Vol.3, No.1, pp. 180-185, 2013
B.U. Musa, Gowma Z.M., Analysis of Wind Energy Conversion Systems in North East Nigeria using Present Value Cost Method, International Journal of Engineering Science Invention, Vol. 2, Issue 8, pp. 28-34, 2013.
Y.K. Sanusi, and S.G. Abisoye, Estimation of Wind Energy Potential in Southwestern Nigeria, The Pacific Journal of Science and Technology, Volume 12. Number 2, pp. 160-166, 2011
D.W. Medugu, and, Malgwi D.I., A study of wind energy potential: remedy for fluctuation of electric power in Mubi, Adamawa State, Nigeria, Nigerian Journal of Physics, Vol. 17, No 1, pp: 40-45, 2005
J.O. Okeniyi, Ohunakin O.S., and Okeniyi E.T., Assessments of Wind-Energy Potential in Selected Sites from Three Geopolitical Zones in Nigeria: Implications for Renewable/Sustainable Rural Electrification, The Scientific World Journal, pp. 1-13, 2015, http://dx.doi.org/10.1155/2015/581679
S.O. Ohunakin, Oyewola, O.M., Adaramola, M.S., Economic analysis of wind energy conversion systems using levelized cost of electricity and present value cost methods in Nigeria. Int. J. Energy Environ. Eng. 4(2), pp. 1–8, 2012, doi:10.1186/2251-6832-4-2
R.O. Fagbenle, J. Katende, O.O. Ajayi, Okeniyi J.O., Assessment of wind energy potential of two sites in North-East, Nigeria, Renewable Energy, Vol. 36, pp. 1277-1283, 2011
A.D. Garba, and Al-Amin M., Assessment of Wind Energy Alternative in Nigeria from the Lessons of the Katsina Wind Farm, Civil and Environmental Research, Vol.6, No.4, pp. 91-94, 2014
B.T. Abur, G.A. Duvuna, and Akanji S.A., Statistical Analysis of Wind Energy Potential Based on Weibull And Rayleigh Model in North-East Nigeria, Int. J. Adv. Engineering. Research and Studies, Vol 3, No. 2, pp. 172-177, 2014
O.O. Ajayi, Fagbenle R.O., Katende J., Aasa S.A., and Okeniyi J.O., Wind profile characteristics and turbine performance analysis in Kano, north-western Nigeria, Int. J. Energy Environ. Eng. 4(27), pp. 1–15, 2013
O.O. Ajayi, Fagbenle R.O, Katende J., Ndambuki J.M., Omole D.O., and Okeniyi J.O., Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria, Int. J. Energy Environmental Engineering, 7, pp. 8508–8534, 2014, doi:10.3390/en7128508
S.O. Ohunakin, and Akinnawonu O.O., Assessment of wind energy potential and the economics of wind power generation in Jos, Plateau State, Nigeria, Energy for Sustainable Development, Vol. 16, Issue 1, pp. 78–83, 2012, http://dx.doi.org/10.1016/j.esd.2011.10.004
A. Oluleye, and S.B. Ogungbenro, Estimating the wind energy potential across the coastal stations of Nigeria using power law and diabatic methods, African Journal of Environmental Science and Technology, Vol. 5(11), pp. 985-992, 2011
I. Barstad, Sorteberg A, Flatoy F, Deque M., Precipitation, temperature and wind in Norway: dynamical downscaling of ERA40. Clim. Dyn. 330(6): 769–776, 2009, doi: 10.1007/s00382-008-0476-5.
R.. Atlas, R..N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, D. Gombos., A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications, Bullein of Amer. Meteor. Soc., 92, 157-174, 2011. doi: 10.1175/2010BAMS2946.1; NASA/GSFC/NOAA. 2009. Cross-Calibrated Multi-Platform Ocean Surface Wind Vector L3.0 First-Look Analyses. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [2015-09-02] at http://dx.doi.org/10.5067/CCF30-01XXX.
DP Dee, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, BalmasedaMA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Holm EV, Isaksen L, Kallberg P, Koehler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette JJ, Park BK, Peubey C, de Rosnay P, Tavolato C, Thepaut JN, Vitart F. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 1370(656), pp. 553–597, 2011. doi: 10.1002/qj.828.
http://www1.ncdc.noaa.gov/ Dataset accessed [2014-07-04]
K.K. Talukdar, and Lawing, W.D. 1991. Estimation of the parameters of the Rice distribution. Journal of Acoustic Society of America, 89(3): 1193–97.
Z.O. Olaofe, Accuracy Check of Wind Speed Extrapolations in Energy Studyâ€, Compendium of Energy Science and Technology, Vol. 8, Wind Energy, pp. 88-138, 2015. ISBN 1-62699-069-7 (Book Chapter)
O.S. Ohunakin, Wind resources in North-East geopolitical zone, Nigeria: An assessment of the monthly and seasonal characteristics, Renewable and Sustainable Energy Reviews 15, pp. 1977–1987, 2011
M.S. Adaramola, and Oyewola O.M., Wind Speed Distribution And Characteristics In Nigeria, ARPN Journal of Engineering and Applied Sciences, Vol. 6, No. 2, pp: 82-86, 2011
DOI (PDF): https://doi.org/10.20508/ijrer.v7i2.5439.g7031
Refbacks
- There are currently no refbacks.
Online ISSN: 1309-0127
Publisher: Gazi University
IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);
IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.
WEB of SCIENCE between 2020-2022;
h=30,
Average citation per item=5.73
Impact Factor=(1638+1731+1808)/(189+170+221)=9.24
Category Quartile:Q4