_____________________________________________________________________________________________________ *Corresponding author: E-mail: 20161107001@stu.khas.edu.tr, hanif.ibrahim07@yahoo.com; Journal of Scientific Research & Reports 19(2): 1-12, 2018; Article no.JSRR.39719 ISSN: 2320-0227 Electricity Demand and Supply Scenario Analysis for Nigeria Using Long Range Energy Alternatives Planning (LEAP) Hanif Auwal Ibrahim 1* and Gokhan Kirkil 2 1 Department of Industrial Engineering, Kadir Has University, Istanbul 34083, Turkey. 2 Department of Energy Systems Engineering, Kadir Has University, Istanbul 34083, Turkey. Authors’ contributions This work was carried out in collaboration between both authors. Author GK designed the study and facilitated the use of the LEAP software. Author HAI managed the analyses of the study, managed the literature searches and wrote the first draft of the study. Both authors read and approved the final manuscript. Article Information DOI: 10.9734/JSRR/2018/39719 Editor(s): (1) Grigorios L. Kyriakopoulos, School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Greece. Reviewers: (1) Prashant Kumar, Zeal College of Engineering and Research (ZCOER), Savitribai Phule Pune University (SPPU), India. (2) David Armando Contreras-Solorio, Autonomous University of Zacatecas, Mexico. (3) Halil Görgün, Dicle University, Turkey. (4) Gheorghe Grigoras, Gheorghe Asachi” Technical University of Iasi, Romania. Complete Peer review History: http://www.sciencedomain.org/review-history/24443 Received 2 nd January 2018 Accepted 8 th March 2018 Published 4 th May 2018 ABSTRACT Electricity demand and supply forecasts are important tools for determining solutions to the problems in the electricity sector such as power outages. The Long Range Energy Alternative Planning (LEAP) modelling tool was used to project electricity demand and supply for a target year 2040. Three scenarios namely; Business as Usual (BAU), Energy Conservation (EC) and Renewable Energy (REN) were generated. The three scenarios were analyzed based on electricity demand and supply, environmental impacts and costs. The electricity demand in the target year of 2040 for the BAU and REN scenarios increased to 283.6 billion kWh, while that of the EC scenario increased to 233.8 billion kWh from 35.9 billion kWh in the base year (2010). The EC scenario has the least capital cost (44.2 billion USD less than the BAU scenario) and fixed costs (15 billion USD less than the BAU scenario), the EC scenario also has the second largest quantity of Green House Gas (GHG) emissions (1,004.8 million tons of CO2eq). The REN scenario has the least GHG Original Research Article