Yıl 2019, Cilt 6 , Sayı 3, Sayfalar 244 - 253 2019-12-08

Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria

Ndukwe E. CHİEMELU [1] , Ugonna NKWUNONWO [2] , Francis İ. OKEKE [3] , Oliver C. OJİNNAKA [4]


Investment into a renewable energy project spurs the need to investigate sites with potential for a renewable energy source. Such a crucial investigation is the main motivation for this study, which uses a geospatial technology to evaluate wind energy potential within the south-east and south-south regions of Nigeria. A multi-criteria decision analysis (MCDA) model was implemented using Landsat TM images at bands 2, 3 & 4, and integrated with NASA global wind speed data, airport location map and forest reserve map 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 for wind energy which lies mostly in the southernmost part of the study area. The total potential area is about 104,700 hectares in land size, which is merely 1.2% of the total study area, although River state encloses most of the potential locations. When compared to global vortex wind data, by visual inspection, these potential areas show a great deal of sensitivity to wind speed, highlighting its critical importance in the present modelling. Wind farms can be located in this area, although it is a rather small scale investment in a renewable energy resource considering that the consumable amount of energy in the study area is in a steady increase. Stake holders and experts in energy economy will find that the need to protect this potential energy location from indiscriminate urban development and other anthropogenic activities is compelling.  

Geospatial technology, Suitability evaluation, Wind energy, Nigeria, Global vortex wind map, Landsat data, Multicriteria decision analysis
  • Agbetuyi, A.F., Odigwe, I.A., Awelewa, A.A. & Awosope, C.O. (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, U. B., Onukwube, I. E., Okoro, O. I., & Obe, E. S. (2017). Towards 100% renewable energy in Nigeria. Renewable and Sustainable Energy Reviews, 71, 943-953.
  • Aslani, A., & Wong, K. F. V. (2014). Analysis of renewable energy development to power generation in the United States. Renewable Energy, 63, 153-161.
  • Aydin, N. Y., Kentel, E., & Duzgun, 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.
  • Aydin, N.Y. (2009). GIS-Based Site Selection Approach for Wind and Solar Energy Systems: A case study from Western Turkey. http://etd.lib.metu.edu.tr/upload/12610774/index.pdf. Accessed 03/01/19.
  • Ayodele, T. R., Ogunjuyigbe, A. S. O., & Amusan, T. O. (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, S. M. J., Parry, T., 2001. – Developing and applying a GIS-assisted approach to locating wind farms in the UK. Renewable Energy, 24, 59-71.
  • Barry, M. L., 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, B. V. (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, M. R., Zhang, D., Xiong, W., Zhang, X., & Karplus, V. J. (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 prospects 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, A.D., 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.
  • 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. and 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, pp 308 26-28 October 2006, Delft, NL.
  • Nasir, M., Khan, H. A., Hussain, A., Mateen, L., & Zaffar, N. A. (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, K. Q., 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. http://venturesafrica.com/i-continues-to-provide-the-best-laptop-options-to-suit-both-your-business-needs-and-budget/ Accessed 8/3/18.
  • 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, Y. C., Lin, G. T., Li, K. P., & Yuan, B. J. (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. EcoWatch. https://www.ecowatch.com/wind-energy-could-generate-nearly-20-percent- of-worlds-electricity-by--1881962962.html Accessed 7/3/18
  • Tester, J. W., Drake, E. M., Driscoll, M. J., Golay M. W., Peters W. A. (2005). Sustainable energy; choosing among options. The MIT Press, Cambridge, MA.
  • Twidell, J., & Weir, T. (2015). Renewable energy resources. Routledge, London.
  • 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, C.-D., Wang, S.S. (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, H. M. (2009). Benefits from a renewable energy village electrification system. Renewable Energy, 34(2), 362-368.
Birincil Dil en
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Yazar: Ndukwe E. CHİEMELU

Orcid: 0000-0002-6944-0675
Yazar: Ugonna NKWUNONWO (Sorumlu Yazar)
Kurum: University of Nigeria, Nsukka
Ülke: Nigeria


Yazar: Francis İ. OKEKE

Yazar: Oliver C. OJİNNAKA

Tarihler

Yayımlanma Tarihi : 8 Aralık 2019

Bibtex @araştırma makalesi { ijegeo549796, journal = {International Journal of Environment and Geoinformatics}, issn = {}, eissn = {2148-9173}, address = {}, publisher = {Cem GAZİOĞLU}, year = {2019}, volume = {6}, pages = {244 - 253}, doi = {10.30897/ijegeo.549796}, title = {Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria}, key = {cite}, author = {CHİEMELU, Ndukwe E. and NKWUNONWO, Ugonna and OKEKE, Francis İ. and OJİNNAKA, Oliver C.} }
APA CHİEMELU, N , NKWUNONWO, U , OKEKE, F , OJİNNAKA, O . (2019). Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria. International Journal of Environment and Geoinformatics , 6 (3) , 244-253 . DOI: 10.30897/ijegeo.549796
MLA CHİEMELU, N , NKWUNONWO, U , OKEKE, F , OJİNNAKA, O . "Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria". International Journal of Environment and Geoinformatics 6 (2019 ): 244-253 <https://dergipark.org.tr/tr/pub/ijegeo/issue/50267/549796>
Chicago CHİEMELU, N , NKWUNONWO, U , OKEKE, F , OJİNNAKA, O . "Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria". International Journal of Environment and Geoinformatics 6 (2019 ): 244-253
RIS TY - JOUR T1 - Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria AU - Ndukwe E. CHİEMELU , Ugonna NKWUNONWO , Francis İ. OKEKE , Oliver C. OJİNNAKA Y1 - 2019 PY - 2019 N1 - doi: 10.30897/ijegeo.549796 DO - 10.30897/ijegeo.549796 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 244 EP - 253 VL - 6 IS - 3 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.549796 UR - https://doi.org/10.30897/ijegeo.549796 Y2 - 2019 ER -
EndNote %0 International Journal of Environment and Geoinformatics Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria %A Ndukwe E. CHİEMELU , Ugonna NKWUNONWO , Francis İ. OKEKE , Oliver C. OJİNNAKA %T Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria %D 2019 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 6 %N 3 %R doi: 10.30897/ijegeo.549796 %U 10.30897/ijegeo.549796
ISNAD CHİEMELU, Ndukwe E. , NKWUNONWO, Ugonna , OKEKE, Francis İ. , OJİNNAKA, Oliver C. . "Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria". International Journal of Environment and Geoinformatics 6 / 3 (Aralık 2019): 244-253 . https://doi.org/10.30897/ijegeo.549796
AMA CHİEMELU N , NKWUNONWO U , OKEKE F , OJİNNAKA O . Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria. International Journal of Environment and Geoinformatics. 2019; 6(3): 244-253.
Vancouver CHİEMELU N , NKWUNONWO U , OKEKE F , OJİNNAKA O . Geospatial Evaluation of Wind Energy Potential in the South-East and South-South Sections of Nigeria. International Journal of Environment and Geoinformatics. 2019; 6(3): 253-244.