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Spatio-Temporal Analysis of Climate Change Impact on Future Wind Power Potential in Burundi (East Africa)

DOI: 10.4236/ajcc.2019.82014, PP. 237-262

Keywords: Burundi, Wind Power, Changes, Future Climate

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Abstract:

This paper assessed climate change impact on future wind power potential across highlands and western lowlands of Burundi. Hourly observed and MERRA-2 data were considered for the historical period 1980-2016, and a Multi-model ensemble for future projections data of eight selected Regional Climate Models under RCP 4.5 and RCP 8.5 over the periods 2019-2040 and 2071-2100 was used. Variability and trend analysis were adopted using standardized index and Mann-Kendall’s test, respectively while wind power density (WPD) in quartiles was adopted for changes distribution. As results, diurnal wind speeds (WS) were higher from 9:00 AM to 2:00 PM, while monthly wind speeds reached the maximum during summer time. An increasing trend in WPD was detected all over the studied area. Over the period 2019-2040, the lowest WPD change is projected at Northern Highlands (NHL) under RCP 4.5 with 28.04 W·m2 while the highest WPD change of 47.35 W·m2 is projected under RCP 8.5 at Southern Imbo plain (SIP). As for the period 2071-2100, the highest change is expected at SIP under RCP 8.5 with 152.39 W·m2 while the minimum change of 83.96 W·m2 is projected under RCP 4.5 at NHL. The findings showed that areas nearby the Lake Tanganyika are expected to have high positive WDP changes.

References

[1]  Karl, T.R., Melillo, J.M. and Peterson, T.C. (2009) Global Climate Change Impacts in the United States. Cambridge University Press, Cambridge.
[2]  IPCC (2007) Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts and Response Strategies. Expert Meeting Report, Noordwijkerhout, The Netherlands.
[3]  Brohan, P., Kennedy, J.J., Harris, I., Tett, S.F.B. and Jones, P.D. (2006) Uncertainty Estimates in Regional and Global Observed Temperature Changes: A New Data Set from 1850. Journal of Geophysical Research, 111, 106-126.
https://doi.org/10.1029/2005JD006548
[4]  Scott, E., James, M., Bart, N. and Wood, A. (2008) Climate Change Effects on Wind Speed. North American Windpower, 7, 68-72.
[5]  Hasan, M.M. and Wyseure, G. (2018) Impact of Climate Change on Hydropower Generation in Rio Jubones Basin, Ecuador. Water Science and Engineering, 11, 157-166.
https://doi.org/10.1016/j.wse.2018.07.002
[6]  Deshmukh, M.K. and Moorthy, C. (2013) A New Approach for Prediction of Growth of Onshore Wind Power Potential. International Journal of Electrical & Electronics Engineering, 3, 107-122.
[7]  Parikshit, G.J. and Shrinivas, G.J. (2012) Analysis of Wind Speed Data for Four Locations in Ireland Based on Weibull Distributions Linear Regression Model. International Journal of Renewable Energy Research, 2, 451-455.
[8]  Davy, R., Gnatiuk, N., Pettersson, L. and Bobylev, L. (2018) Climate Change Impacts on Wind Energy Potential in the European Domain with a Focus on the Black Sea. Renewable and Sustainable Energy Reviews, 81, 1652-1659.
https://doi.org/10.1016/j.rser.2017.05.253
[9]  Schaeffer, R., Szklo, A.S., Pereira, L.A.F., Moreira, C.B.B.S., Pupo, N.L.P., et al. (2012) Energy Sector Vulnerability to Climate Change: A Review. Energy, 38, 1-12.
https://doi.org/10.1016/j.energy.2011.11.056
[10]  Kainkwa, R.R. (1998) Wind Energy as an Alternative Source to Alleviate the Shortage of Electricity that Prevails during the Dry Season: A Case Study of Tanzania. Renewable Energy, 18, 167-174.
https://doi.org/10.1016/S0960-1481(98)00801-5
[11]  Peter, N. (2017) Wind Energy: Global and Kenya Prospects and Sustainability Issues. Master’s Report, The University of Nairobi, Nairobi, Kenya.
[12]  Joel, N., Jackson, N. and Simon, M. (2011) Regional Flow Duration Curve Estimation and Its Application in Assessing Low Flow Characteristics for Ungauged Catchment. A Case Study of Rwegura Catchment-Burundi. Nile Basin Water Sciences & Engineering Journal, 4, 14-23.
[13]  Bamber, P., Guinn, A. and Gereffi, G. (2014) Burundi in the Energy Global Value Chain: Skills of Private Sector Development. Technical Report, CGGC Duke University, NC.
[14]  Collins, C., Magnani, R. and Ngomirakiza, E. (2013) Food Security Country Framework for Burundi (FY 2014-FY 2019). USAID, Washington DC.
[15]  Lawin, A.E., Manirakiza, C. and Lamboni, B. (2018) Trends and Changes Detection In Rainfall, Temperature and Wind Speed in Burundi. Journal of Water and Climate Change, 155, 1-19.
https://doi.org/10.2166/wcc.2018.155
[16]  Bidou, J.E., Ndayirukiye, S., Ndayishimiye, J.P. and Sirven, P. (1991) Géographie du Burundi. Hatier, Paris.
[17]  MATTE (2014) National Communication Strategy on Adaptation to Climate Change and Precautionary Warning of Extreme Climate Events. Bujumbura, Burundi.
[18]  Riaz, V., Kevin, L., Andy, B., Nhlanhla, M. and Bruno, C. (2013) Planning Issues for Newly Industrialized and Developing Countries (Africa). Africa Study Report, CIGRE WG C1.9 Eskom, Johannesburg, South Africa.
[19]  Asfaw, A., Simane, B., Hassen, A. and Bantider, A. (2018) Variability and Time Series Trend Analysis of Rainfall and Temperature in Northcentral Ethiopia: A Case Study in Woleka Sub-Basin. Weather and Climate Extremes, 19, 29-41.
https://doi.org/10.1016/j.wace.2017.12.002
[20]  Ioannis, Z. (2017) Combining Multiple Imputation with Cross-Validation for Calibration and Assessment of Cox Prognostic Survival Models. Master’s Thesis, Leiden University, Leiden, Netherlands.
[21]  Giorgi, F., Jones, C. and Asrar, G. (2009) Addressing Climate Information Needs at the Regional Level: The CORDEX Framework. The World Meteorological Organization Bulletin, 58, 175-183.
[22]  Riahi, K., Grübler, A. and Nakicenovic, N. (2007) Scenarios of Long-Term Socio-Economic and Environmental Development under Climate Stabilization. Technological Forecasting and Social Change, 74, 887-935.
https://doi.org/10.1016/j.techfore.2006.05.026
[23]  Liersch, S. and Rivas, R. (2014) Climate Change Report for Burundi. GIZ, Eschborn.
[24]  Youm, J.S., Sall, M., Ndiaye, A. and Kane, M.M. (2005) Analysis of Wind Data and Wind Energy Potential Along the Northern Coast of Senegal. Renewable & Sustainable Energy Reviews, 8, 95-108.
[25]  George, Y.L. and David, W.W. (2008) An Adaptive Inverse-Distance Weighting Spatial Interpolation Technique. Computers & Geosciences, 34, 1044-1055.
https://doi.org/10.1016/j.cageo.2007.07.010
[26]  Rasmus, E.B., Abdelkader, M. and Kajsa, M.P. (2015) Esd: Climate Analysis and Empirical-Statistical Downscaling (ESD) Package for Monthly and Daily Data.
https://github.com/metno/esd
[27]  Cannon, A.J. (2016) Multivariate Bias Correction of Climate Model Output: Matching Marginal Distributions and Inter-Variable Dependence Structure. Journal of Climate, 29, 7045-7064.
https://doi.org/10.1175/JCLI-D-15-0679.1
[28]  RcoreTeam (2018) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
https://www.R-project.org/
[29]  Cannon, A.J., Sobie, S.R. and Murdock, T.Q. (2015) Bias Correction of Simulated Precipitation by Quantile Mapping: How Well Do Methods Preserve Relative Changes in Quantiles and Extremes? Journal of Climate, 28, 6938-6959.
https://doi.org/10.1175/JCLI-D-14-00754.1
[30]  Vrac, M. and Willems, P. (2011) Statistical Precipitation Downscaling for Small-Scale Hydrological Impact Investigations of Climate Change. Journal of Hydrology, 402, 193-205.
https://doi.org/10.1016/j.jhydrol.2011.02.030
[31]  Berggren, K., Olsson, J., Olofsson, M. and Viklander, M. (2009) Applying Climate Model Precipitation Scenarios for Urban Hydrological Assessment: A Case Study in Kalmar City, Sweden. Atmospheric Research, 92, 364-375.
https://doi.org/10.1016/j.atmosres.2009.01.015
[32]  Mckee, T.B., Doesken, N.J. and Kleist, J. (1993) The Relationship of Drought Frequency and Duration Times Scales. Proceedings of 8th Conference on Applied Climatology, Anaheim, CA, 17-22 January, 179-184.
[33]  Lawin, A.E., Afouda, A., Gosset, M. and Lebel, T. (2010) Variabilité comparé du régime pluviométrique aux échelles régionale et locales sur la Haute Vallée de l’Ouémé au Bénin. In: Servat, E., Demuth, S., et al., Eds., Global Change: Facing Risks and Threats to Water Resources, International Association of Hydrological Sciences, London, 340.
[34]  Soro, G.E., Anouman, D., Goula Bi, T.A. and Srohorou, B. (2014) Characterization of Sequences of Meteorological Dryness at Various Time Scales in Sudanese Climate: Case of the Extreme Northwest of the Ivory Coast. Larhyss Journal, 18, 107-124.
[35]  Wilkie, J., Leithead, W.E. and Anderson, C. (1990) Modeling of Wind Turbines by Simple Models. Wind Engineering, 14, 247-274.
[36]  Manwell, J.F., McGowan, J.G. and Rogers, A.L. (2009) Wind Energy Explained: Theory, Design and Application. Wiley, Chichester.
https://doi.org/10.1002/9781119994367
[37]  Kendall, M.G. (1962) Rank Correlation Methods. Hafner Publishing Co. Ltd., New York.
[38]  Mann, H.B. (1945) Nonparametric Tests against Trend. Econometrica, 13, 245-259.
https://doi.org/10.2307/1907187
[39]  Rajeevan, M., Bhate, J. and Jaswal, A.K. (2008) Analysis of Variability and Trends of Extreme Rainfall Events over India Using 104 Years of Gridded Daily Rainfall Data. Geophysical Research Letters, 35.
https://doi.org/10.1029/2008GL036105
[40]  Talaee, P.H. (2014) Iranian Rainfall Series Analysis by Means of Nonparametric Tests. Theoretical and Applied Climatology,116, 597-607.
https://doi.org/10.1007/s00704-013-0981-2
[41]  Telemu, K. (2013) Trend Analysis of Monthly Rainfall Data in Central Zone. Journal of Mathematics and Statistics, 9, 1-11.
https://doi.org/10.3844/jmssp.2013.1.11
[42]  Havyarimana, F. (2015) The Contribution of Socio-Political Instability in the Anthropization of Landscapes in Burundi: Spatial Dynamics and Biodiversity. PhD Thesis, ULB, Bruxels, Belgium.
[43]  Mahongo, S.B., Francis, J. and Osima, S.E. (2011) Wind Patterns of Coastal Tanzania: Their Variability and Trends. Western Indian Ocean Journal of Marine Science, 10, 107-120.
[44]  ISTEEBU (2017) Annuaire des statistiques de l’environnement. Edition 2016, Bujumbura, Burundi.
[45]  Ayodele, T.R., Jimoh, A.A., Munda, J.L. and Agee, J.T. (2013) A Statistical Analysis of Wind Distribution and Wind Power Potential in the Coastal Region of South Africa. International Journal of Green Energy, 10, 814-834.
https://doi.org/10.1080/15435075.2012.727112
[46]  Bilal, B.O., Ndongo, M., Sambou, V., Ndiaye, P.A. and Kebe, C.M. (2011) Diurnal Characteristics of the Wind Potential along the North-Western Coast of Senegal. International Journal of Physical Sciencies, 6, 7950-7960.
[47]  Bloom, A., Kotroni, V. and Lagouvardos, K. (2008) Climate Change Impact of Wind Energy Availability in the Eastern Mediterranean Using the Regional Climate Model PRECIS. Natural Hazards and Earth System Sciences, 8, 1249-1257.
https://doi.org/10.5194/nhess-8-1249-2008
[48]  Choge, D.K., Maritim, J.K., Arusei, G.K. and Yegon, G.K. (2013) Small Wind Turbines: A Simulation for Optimal Selection in Uashu-Gishu, Kenya. International Journal of Advanced Research, 1, 508-515.

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