Geospatial Evaluation of Wind Energy Potential in the SE and SS of Nigeria

Geospatial Evaluation of Wind Energy Potential in the SE and SS of Nigeria

Investment into a renewable energy project spurs the need to investigate sites with potential for a renewable energy source. Such acrucial investigation is the main motivation for this study, which uses a geospatial technology to evaluate wind energy potential withinthe south-east (SE) and south-south (SS) regions of Nigeria. A multi-criteria decision analysis (MCDA) model was implemented usingLandsat TM images at bands 2, 3 and 4, and integrated with NASA global wind speed data, airport location map and forest reservemap of the area. The criteria for generation of wind energy potential map were wind speed ≥ 3m/s, 2000m buffer from built-up areas,2,500m buffer from airports and outside the forest reserve. The results indicate the presence of a reasonable amount of potential forwind energy, which lies mostly in the southernmost part of the study area. The total potential area is about 104,700 hectares in landsize, which is merely 1.2% of the total study area, although River state encloses most of the potential locations. When compared toglobal vortex wind data, by visual inspection, these potential areas show a great deal of sensitivity to wind speed, highlighting itscritical importance in the present modelling. Wind farms can be located in this area, although it is a rather small-scale investment in arenewable energy resource considering that the consumable amount of energy in the study area is in a steady increase. Stakeholdersand experts in energy economy will find that the need to protect this potential energy location from indiscriminate urban developmentand other anthropogenic activities is compelling.

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  • Agbetuyi, AF., Odigwe, IA., Awelewa, AA. Awosope, CO. (2013). Wind power potential and integration in Africa. International Journal of Development and Sustainability, 2(1), 232-239.
  • Ahlborg, H., Hammar, L. (2014). Drivers and barriers to rural electrification in Tanzania and Mozambique– Grid-extension, off-grid, and renewable energy technologies. Renewable Energy, 61, 117-124.
  • Akuru, UB., Onukwube, IE., Okoro, OI., Obe, ES. (2017). Towards 100% renewable energy in Nigeria. Renewable and Sustainable Energy Reviews, 71, 943- 953.
  • Aslani, A. Wong, KFV. (2014). Analysis of renewable energy development to power generation in the United States. Renewable Energy, 63, 153-161.
  • Aydın, NY., Kentel, E. Düzgün, S. (2010). GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey. Renewable and Sustainable Energy Reviews, 14(1), 364-373.
  • Aydın, NY. (2009). GIS-Based Site Selection Approach for Wind and Solar Energy Systems: A case study from Western Turkey.
  • Ayodele, TR., Ogunjuyigbe, ASO. Amusan, TO. (2016). Wind power utilization assessment and economic analysis of wind turbines across fifteen locations in the six geographical zones of Nigeria. Journal of cleaner production, 129, 341-349.
  • Baban, SMJ., Parry, T. (2001). Developing and applying a GIS-assisted approach to locating wind farms in the UK. Renewable Energy, 24, 59-71.
  • Barry, ML., Steyn, H. Brent, A. (2011). Selection of renewable energy technologies for Africa: Eight case studies in Rwanda, Tanzania and Malawi. Renewable Energy, 36(11), 2845-2852.
  • Cevallos-Sierra, J., Ramos-Martin, J. (2018). Spatial assessment of the potential of renewable energy: The case of Ecuador. Renewable and Sustainable Energy Reviews, 81, 1154-1165.
  • Clarke, A. (1991). Wind energy progress and potential. Energy Policy, 19, 742-755.
  • Connolly, D., Lund, H., Mathiesen, BV. (2016). Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union. Renewable and Sustainable Energy Reviews, 60, 1634-1653.
  • Davidson, MR., Zhang, D., Xiong, W., Zhang, X., Karplus, VJ. (2016). Modelling the potential for wind energy integration on China’s coal-heavy electricity grid. Nature Energy, 1(7), 16086.
  • Ellabban, O., Abu-Rub, H., Blaabjerg, F. (2014). Renewable energy resources: Current status, future rospects and their enabling technology. Renewable and Sustainable Energy Reviews, 39, 748-764.
  • Frondel, M., Ritter, N., Schmidt, C.M. Vance, C. (2010). Economic impacts from the promotion of renewable energy technologies: The German experience. Energy Policy, 38(8), 4048-4056.
  • Hansen, AD., Sorensen, P., Blaabjerg, F., Becho, J. (2002). Dynamic modeling of wind farm grid Interaction. Wind Engineering, 26(4), 191-208
  • Haas, R., Panzer, C., Resch, G., Ragwitz, M., Reece, G., Held, A. (2011). A historical review of promotion strategies for electricity from renewable energy sources in EU countries. Renewable and sustainable energy reviews, 15(2), 1003-1034.
  • Keyhani, A., Ghasemi-Varnamkhasti, M., Khanali, M., Abbaszadeh, R. (2010). An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran. Energy, 35(1), 188-201.
  • Latinopoulos, D., Kechagia, K. (2015). A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece. Renewable Energy, 78, 550-560.
  • Lin, B., Moubarak, M. (2014). Renewable energy consumption–Economic growth nexus for China. Renewable and Sustainable Energy Reviews, 40, 111- 117.
  • Loss, S. R., Will, T., Marra, P. P. (2013). Estimates of bird collision mortality at wind facilities in the contiguous United States. Biological Conservation, 168, 201-209.
  • Mathiesen, B. V., Lund, H., Karlsson, K. (2011). 100% Renewable energy systems, climate mitigation and economic growth. Applied Energy, 88(2), 488-501.
  • Mentis, D., Hermann, S., Howells, M., Welsch, M., Siyal, S. H. (2015). Assessing the technical wind energy potential in Africa a GIS-based approach. Renewable Energy, 83, 110-125.
  • Mazzucato, M., Semieniuk, G. (2018). Financing renewable energy: Who is financing what and why it matters. Technological Forecasting and Social Change, 127, 8-22.
  • Mirhosseini, M., Sharifi, F., Sedaghat, A. (2011). Assessing the wind energy potential locations in province of Semnan in Iran. Renewable and Sustainable Energy Reviews, 15(1), 449-459.
  • Mohahhadi,M., Hosseinali, F. (2019). Assessment and Comparison the Location of Six Universities in Tehran City Using GIS and Multi Criteria Decision Making Methods, International Journal of Environment and Geoinformatics (IJEGEO), Vol. 6(1), 143-147.
  • Moriarty, P., Honnery, D. (2012). What is the global potential for renewable energy?. Renewable and Sustainable Energy Reviews, 16(1), 244-252.
  • Mulder, M., Scholtens, B. (2013). The impact of renewable energy on electricity prices in the Netherlands. Renewable Energy, 57, 94-100.
  • Muller, H., Poller, M., Basteck, A., Tilscher, M. Pfister, J. (2006), “Grid Compatibility of variable speed wind turbines with directly coupled synchronous Generator and Hydro-dynamically controlled gearbox”, 6th Int’l Workshop on Large-scale Integration of wind power and transmission Networks for offshore wind farms, 308. 26-28 October 2006, Delft, NL.
  • Nasir, M., Khan, H. A., Hussain, A., Mateen, L., Zaffar, NA. (2018). Solar PV-based scalable DC microgrid for rural electrification in developing regions. IEEE Transactions on sustainable energy, 9(1), 390-399.
  • Nematollahi, O., Hoghooghi, H., Rasti, M., Sedaghat, A. (2016). Energy demands and renewable energy resources in the Middle East. Renewable and Sustainable Energy Reviews, 54, 1172-1181.
  • Nguyen, KQ. (2007). – Wind energy in Vietnam: Resource assessment, development status and future implications. Energy Policy, 35, 1405–1413.
  • Obiukwu, O. (2015). Nigeria gets West Africa’s largest wind power plant.
  • Öztürk, B., Serkendiz, H. (2018). Location Selection forWind Turbines in Balıkesir, NW Turkey, Using GIS, Internatonal Journal of Environment and Geoinformatics (IJEGEO), 5(3), 284-295.
  • Sasana, H., Ghozali, I. (2017). The impact of fossil and renewable energy consumption on the economic growth in Brazil, Russia, India, China and South Africa. International Journal of Energy Economics and Policy, 7(3), 194-200.
  • Sen, S., Ganguly, S. (2017). Opportunities, barriers and issues with renewable energy development–A discussion. Renewable and Sustainable Energy Reviews, 69, 1170-1181.
  • Shen, YC., Lin, GT., Li, KP., Yuan, BJ. (2010). An assessment of exploiting renewable energy sources with concerns of policy and technology. Energy Policy, 38(8), 4604-4616.
  • Spear, S. (2014). Wind energy could generate nearly 20 percent of world’s electricity by 2030.
  • Tester, JW., Drake, EM., Driscoll, MJ., Golay MW., Peters WA. (2005). Sustainable energy; choosing among options. The MIT Press, Cambridge, MA.
  • Twidell, J., Weir, T. (2015). Renewable energy resources. Routledge, London.
  • URL 1. www.vortex.com (Feb 2019).
  • Ülker, D., Ergüven, O., Gazioğlu, C. (2018). Socioeconomic impacts in a Changing Climate: Case Study Syria, International Journal of Environment and Geoinformatics (IJEGEO), 5 (1), 84-93.
  • Vaghela, BN., Parmar, M., Solanki, HA., Kansara, BB., Prajapati, SK., Kalubarme, MH. (2018). Multi Criteria Decision Making (MCDM) Approach for Mangrove Health Assessment using Geo-informatics Technology, International Journal of Environment and Geoinformatics (IJEGEO), 5(2):114-131
  • Van Hoesen, J., Letendre, S. (2010). Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning. Renewable Energy, 35(9), 2114- 2122.
  • Voivontas, D., Assimacopoulos, D., Mourelatos, A., Corominas, J. (1998). Evaluation of renewable energy potential using a GIS decision support system. Renewable Energy, 13(3), 333-344.
  • Wang S. (2010). Spatial modelling of renewable energy integrating remote sensing data. A Ph.D thesis, Albert-Ludwigs-Universtat, Freiburg im Breisgau, Germany.
  • Wu, J., Wang, J., Chi, D. (2013). Wind energy potential assessment for the site of Inner Mongolia in China. Renewable and Sustainable Energy Reviews, 21, 215- 228.
  • Yue, CD., Wang, SS. (2006). GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan. Energy Policy 34, 730–742.
  • Zahnd, A., Kimber, HM. (2009). Benefits from a renewable energy village electrification system. Renewable Energy, 34(2), 362-368.