Wind Resource of Ilorin City for Vortex-Induced Wind Turbine Power Generation and Off-grid Electrification
Keywords:
MERRA-2 wind data, Weibull distribution, wind power density, cut-in wind speedAbstract
This study examined the appraisal of wind resources of Ilorin, Nigeria for vortex-induced wind turbine power generation and off-grid electrification. The technical potential of Modern-Era Retrospective Analysis for Research and Application, version 2 (MERRA-2) was employed as a tool to generate an estimated wind resource of Ilorin city, using five different hub-heights (10, 30, 50, 70, and 90 m). A statistical analysis of wind characteristics for 21 years from 2001 to 2021 was carried out using Weibull distribution function. The daytime and night-time wind characteristics were studied to determine prospective and investment hub-height(s). It was observed that the study area is a low wind region with a minimum and maximum mean wind speed of 2.89 m/s at 10 m and 7.68 m/s at 90 m, respectively. Wind turbines with cut-in wind speed of 2, 2.5, and 3 m have operational chances of 98%, 95% and 88%, respectively. Wind power density at 10, 30, and 50 m elevations was classified as poor while at 70 and 90 m elevations, was regarded as marginal and fair, respectively.
References
AJAO, K. R., AJIMOTOKAN, H. A., POPOOLA, O. T. & AKANDE, H. F. 2009. Electric Energy Supply in Nigeria, Decentralized Energy Approach. Cogeneration & Distributed Generation Journal, 24, 34-50.
AKDAĞ, S. A. & DINLER, A. 2009. A new method to estimate Weibull parameters for wind energy applications. Energy conversion and management, 50, 1761-1766.
BEN, U. C., AKPAN, A. E., MBONU, C. C. & UFUAFUONYE, C. H. 2021. Integrated technical analysis of wind speed data for wind energy potential assessment in parts of southern and central Nigeria. Cleaner Engineering and Technology, 2, 100049.
BHATTACHARYA, P. & BHATTACHARJEE, R. 2010. A study on Weibull distribution for estimating the parameters. Journal of Applied Quantitative Methods, 5, 234-241.
CARLIN, P. W., LAXSON, A. S. & MULJADI, E. B. 2003. The History and State of the Art of Variable-Speed Wind Turbine Technology. Wind Energy, 6, 129-159.
CHANG, T. P. 2011. Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application. Applied Energy, 88, 272-282.
DANG, T. Introduction, history, and theory of wind power. 41st North American Power Symposium, 2009. IEEE, 1-6.
DITKOVICH, Y. & KUPERMAN, A. 2014. Comparison of three methods for wind turbine capacity factor estimation. ScientificWorldJournal, 2014, 805238.
EARL, N., DORLING, S., HEWSTON, R. & VON GLASOW, R. 2013. 1980–2010 variability in UK surface wind climate. Journal of Climate, 26, 1172-1191.
EMEIS, S. 2004. Vertical wind profiles over an urban area. Meteorologische Zeitschrift, 13, 353-360.
EMEIS, S. 2018a. Vertical Profiles Over Flat Terrain. Wind Energy Meteorology.
EMEIS, S. 2018b. Wind energy meteorology: atmospheric physics for wind power generation, Springer.
EMEIS, S., BAUMANN-STANZER, K., PIRINGER, M., KALLISTRATOVA, M., KOUZNETSOV, R. & YUSHKOV, V. 2007. Wind and turbulence in the urban boundary layer-analysis from acoustic remote sensing data and fit to analytical relations. Meteorologische Zeitschrift, 16, 393-406.
GARCIA, A., TORRES, J., PRIETO, E. & DE FRANCISCO, A. 1998. Fitting wind speed distributions: a case study. Solar energy, 62, 139-144.
GELARO, R., MCCARTY, W., SUÁREZ, M. J., TODLING, R., MOLOD, A., TAKACS, L., RANDLES, C. A., DARMENOV, A., BOSILOVICH, M. G. & REICHLE, R. 2017. The modern-era retrospective analysis for research and applications, version 2 (MERRA-2). Journal of climate, 30, 5419-5454.
HASANUZZAMAN, M., ZUBIR, U. S., ILHAM, N. I. & SENG CHE, H. 2016. Global electricity demand, generation, grid system, and renewable energy polices: a review. WIREs Energy and Environment, 6.
HENNESSEY JR, J. P. 1977. Some aspects of wind power statistics. Journal of Applied Meteorology and Climatology, 16, 119-128.
ISLAM, M. S., ISLAM, A., HASAN, M. M. & KHAN, A. H. 2013. Feasibility study of wind power generation in Bangladesh: A statistical study in the perspective of wind power density and plant capacity factor. International Journal of Renewable Energy Research (IJRER), 3, 476-487.
JANGAMSHETTI, S. H. & RAN, V. 2001. Optimum siting of wind turbine generators. IEEE transactions on Energy Conversion, 16, 8-13.
JIANG, R. & MURTHY, D. 2011. A study of Weibull shape parameter: Properties and significance. Reliability Engineering & System Safety, 96, 1619-1626.
JOSELIN HERBERT, G. M., INIYAN, S., SREEVALSAN, E. & RAJAPANDIAN, S. 2007. A review of wind energy technologies. Renewable and Sustainable Energy Reviews, 11, 1117-1145.
JUSTUS, C., HARGRAVES, W., MIKHAIL, A. & GRABER, D. 1978. Methods for estimating wind speed frequency distributions. Journal of Applied Meteorology (1962-1982), 350-353.
KALDELLIS, J. K. & ZAFIRAKIS, D. 2011. The wind energy (r)evolution: A short review of a long history. Renewable Energy, 36, 1887-1901.
KALMIKOV, A. 2017. Wind power fundamentals. Wind Energy Engineering. Elsevier.
LAMPERT, A., BERNALTE JIMENEZ, B., GROSS, G., WULFF, D. & KENULL, T. 2016. One‐year observations of the wind distribution and low‐level jet occurrence at Braunschweig, North German Plain. Wind Energy, 19, 1807-1817.
LOKOSHCHENKO, M. A., YAVLYAEVA, E. A. & KIRTZEL, H.-J. 2009. Sodar data about wind profiles in Moscow city. Meteorologische Zeitschrift, 18, 321.
LYSEN, E. 1982. Introduction to wind energy, SWD.
MOHAMMED, D., ABDELAZIZ, M., SIDI, A., MOHAMMED, E. & ELMOSTAPHA, E. 2019. Wind speed data and wind energy potential using Weibull distribution in Zagora, Morocco. International Journal of Renewable Energy Development, 8, 267-273.
OHUNAKIN, O. S. 2011. Assessment of wind energy resources for electricity generation using WECS in North-Central region, Nigeria. Renewable and Sustainable Energy Reviews, 15, 1968-1976.
OLORUNFEMI, F. & RAHEEM, U. 2013. Floods and rainstorms impacts, responses and coping among households in Ilorin, Kwara Stat. Journal of Educational and Social Research, 3, 135.
ONORUOIZA, M. R., ADEDIPE, O., LAWAL, S. A., OLUGBOJI, O. A. & NWACHUKWU, V. C. 2021. Analysis of offshore wind energy potential for power generation in three selected locations in Nigeria. African Journal of Science, Technology, Innovation and Development, 1-16.
ORAL, F., EKMEKÇI, İ. & ONAT, N. 2015. Weibull distribution for determination of wind analysis and energy production. World Journal of Engineering, 12, 215-220.
RAMANATHAN, V. & FENG, Y. 2009. Air pollution, greenhouse gases and climate change: Global and regional perspectives. Atmospheric Environment, 43, 37-50.
SHABAN, A. H., RESEN, A. K. & BASSIL, N. 2020. Weibull parameters evaluation by different methods for windmills farms. Energy Reports, 6, 188-199.
SORENSEN, B. 1995. History of, and recent progress in, wind-energy utilization. Annual review of energy and the environment, 20, 387-424.
VAN DER LINDE, H. 1996. Wind energy in South Africa. Renewable energy, 9, 880-883.
VESTERGAARD, J., BRANDSTRUP, L. & GODDARD, R. D. A brief history of the wind turbine industries in Denmark and the United States. Academy of international business (Southeast USA Chapter) Conference proceedings, 2004. 322-7.
WAIS, P. 2017. A review of Weibull functions in wind sector. Renewable and Sustainable Energy Reviews, 70, 1099-1107.
WATSON, S. 2019. Quantifying the variability of wind energy. Advances in Energy Systems: The Large‐scale Renewable Energy Integration Challenge, 355-368.
WISSE, J. A. & STIGTER, K. 2007. Wind engineering in Africa. Journal of wind engineering and industrial aerodynamics, 95, 908-927.
YAHAYA, A. A. 2023. Nigeria map showing extruded view of Ilorin city.
ZHOU, W., YANG, H. & FANG, Z. 2006. Wind power potential and characteristic analysis of the Pearl River Delta region, China. Renewable Energy, 31, 739-753.
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