Site Selection for Wind Energy as an Alternative Source of Energy in Bonny, Nigeria

Jackson Kurotamuno Peace *

Department of Surveying and Geomatics, Rivers State University, Port Harcourt, Nigeria.

Hart Lawrence

Department of Surveying and Geomatics, Rivers State University, Port Harcourt, Nigeria.

Benjamin Benson Eze

Department of Surveying and Geomatics, Rivers State University, Port Harcourt, Nigeria.

Brown, Ibama

Department of Urban and Regional Planning, Rivers State University, Port Harcourt, Nigeria.

*Author to whom correspondence should be addressed.


Power derived via the wind stands out as an appealing form of renewable energy due to its minimal operational, maintenance, and production expenses, coupled with its limited environmental footprint. This investigation focuses on employing geospatial methods to establish a wind farm on Bonny Island, Nigeria. The primary objectives include furnishing data and a spatial wind distribution map for Bonny Island, evaluating the significance of factors crucial for wind farm development in the area, and generating a wind energy suitability map. The study utilizes Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) methodologies to scrutinize five critical parameters influencing location suitability. The findings indicate that Bonny Island possesses potential for wind farm installation, with 3,549.8 hectares, 10,219.6 hectares, and 424.6 hectares categorized as highly suitable, suitable, and unsuitable, respectively. Moreover, wind speed, land use/land cover, distance from the road, distance from the river, and land slope each carry a substantial priority weight of 50%, 25%, 10%, 10%, and 5%, respectively. These weights contribute to the creation of a wind energy suitability map for the study area. This research recommends amongst other things the investment and installation of a wind energy farm in Bonny Island, owing to the comparative advantage over other sources of energy in Nigeria.

Keywords: Wind energy, geospatial techniques, GIS, analytical hierarchy process, suitability map

How to Cite

Peace, Jackson Kurotamuno, Hart Lawrence, Benjamin Benson Eze, and Brown, Ibama. 2024. “Site Selection for Wind Energy As an Alternative Source of Energy in Bonny, Nigeria”. Asian Journal of Geographical Research 7 (1):1-12.


Download data is not yet available.


Ayodele TR, Ogunjuyigbe ASO, Odigie O, Munda JL. A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process; 2018. DOI:

Grob GR. International sustainable energy organization for renewable energy and energy efficiency the ISEO world sustainable energy mix scenario for environmentally compatible energy strategies; 2010.

Aydin NY, Kentel E, Duzgun S. GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey. Renew. Sustain. Energy Rev. 2010;14(1):364–373. DOI:

Janke JR. Multicriteria GIS modeling of wind and solar farms in colorado. Renew Energy. 2010;35(10):2228–2234. DOI:

BP A paper presented on the global energy demand;2014.

Sambo A. Renewable energy option for sustainable development. paper presented at the renewable electricity policy conference held at Shehu Musa Yar’adua Centre, Abuja; 2006.

Muyiwa S, Sunday O, Samuel S. International journal of energy and environmental engineering. Analysis of wind speed data and wind energy potential in three selected locations in South-East Nigeria ; 2012.

Agbele AT. A survey of wind energy potential in Nigeria. International Electrical Engineering Journal (IEEJ);(1393). 2009; 2078-2353.

Bonny utility company. A report presented by Bonny Utility Company in 2019.

Adebayo AA, Chuks Emu: Long term electric load forecasting for bonny and finima towns using linear regression method IJERT 2019;8(11):448-449. DOI:

ISSN: 2278-0181.

National Population Commission (NPC) (Nigerian Population Census Report. National Population Commission, Abuja. 2006;21-27.

Gorsevski PV, Cathcart SC, Mirzaei G, Jamali MM, Ye X, Gomezdelcampo E. A group-based spatial decision support system for wind farm site selection in Northwest Ohio, Energy Policy. 2012; 55:374–385. DOI:

Van Haaren R, Fthenakis V. GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the Case for New York State. Renew. Sustain. Energy Rev. 2011;15: 3332–3340. DOI:

Adaramola MS, Agelin-chaab M, Paul SS. Assessment of wind power generation along the coast of ghana. Energy convers. Manag. 2015;77:61–69. DOI:

Islam R, Imran HM. Assessing wind farm site suitability in Bangladesh: A GIS- AHP Approach, Sustainability. 2022;14: 14819. DOI:

Noorollahi Y, Yousefi H, Mohammadi M. (2015). Multi-Criteria decision support system for wind farm site selection using GIS, Sustain. Energy technol. Assessments. 2016;13:38–50. DOI:

Thomas PG, Doherty P.The analytic hierarchy process: Planning, priority setting, resource allocation, McGraw-Hill, Basel, Switzerland;1980.

Szurek M, Blachowski J, Nowacka A. GIS-based method for wind farm location multicriteria analysis. Min. Sci. 2014;21: 65-81.