http://197.159.135.214/jspui/handle/123456789/31 Thu, 23 Apr 2026 15:06:33 GMT 2026-04-23T15:06:33Z http://197.159.135.214/jspui/handle/123456789/458 A System Dynamics Model of the Nigerian Electricity System Babajide, Shari; Moumouni, Yacouba; Abiodun, Momodu; Adamou, Rabani —Policy guides decision. This paper examines policy in the Nigerian Electric Power Sector (NEPS) to cut transmission losses (TL) and improve capacity factor (CF) to 5% and 90%, respectively. A System Dynamics (SD) model developed in STELLA software package was employed to analyze this policy. Secondary data were sourced from: a) National Control Centre (NCC); b) Nigeria Electricity Regulatory Commission (NERC); and c) National Bureau of Statistics (NBS). Two scenarios were considered, the pre-privatized and improved scenarios. Results showed that at TL of 5% and CF of 90% i) electricity outages would be reduced by about 17.84% from 2010 to 2050; ii) over the study period a capacity of 473 MW (about 94.6 MW/year) would be fed back into the system; iii) transmission losses of 3,400 GWh would have been curtailed by 2050; and iv) cutting down TL and improving CF alone in NEPS will not totally curtail electricity outages and deficiencies in NEPS. Therefore, the study recommends that increasing generating capacity (MW) would go a long way in curbing electricity deficiencies. Renewable energy sources could be a better choice. Further studies are recommended in this regard. It was proven by the study that a system dynamics modelling approach is suitable for examining long-term behavior and dynamic feedback in Nigeria’s electricity sector. Research Article Wed, 01 Jan 2020 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/458 2020-01-01T00:00:00Z http://197.159.135.214/jspui/handle/123456789/457 A System Dynamic Model of a Distributed Generation for Energy Security in Niamey Pouye, Modou; Moumouni, Yacouba Economic development is based on a reliable and cost effective energy supply. To sustain their economic growth, emerging countries need a dependable Distributed Generation (DG). DG is an efficient way to reach energy security by minimizing power losses in long and aging transmission lines. Due to the inherent complexity of electricity systems, this paper proposes to use a System Dynamics (SD) modelling approach to investigate the links between electricity supply and demand, population growth, and real climatic parameters in Niamey, Niger. Some of the variables utilized in this study were the local solar radiation and wind speed. Results proved that: (1) the current population will double in the horizon 2036 under the actual birth and death rates; (2) the highest summer electricity demand in the year 2015 was 217 MW; (3) electricity supply can be far higher than demand by implementing a 50 MW Renewable Energy Sources (RES) in conjunction with a 10 MW Energy Storage System (ESS); and (4) through a sensitive analysis, Niamey and neighboring vicinity would reach energy independence from 2017 to 2055, and even beyond. Research Article Wed, 01 Jan 2020 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/457 2020-01-01T00:00:00Z http://197.159.135.214/jspui/handle/123456789/456 A GIS Approach of Potential Photovoltaic Power Sites in Niamey, Niger Laouali, Ibrahim Tanimoune; Madougou, Saidou; Mohamed, Mounkaila; Moumouni, Yacouba Nowadays, the daily conversations at summits and conferences are mainly about energy, climate change, and environmental issues. Fossil fuels are the main causes of global warming due to the release of greenhouse gases (GHG) into the atmosphere, leading to a change in the climate. Niger, as an emerging nation, has significant energy potential that is weakly exploited due to socioeconomic factors. Multi-criteria analysis and satellite imagery were utilized to generate the potential photovoltaic (PV) energy maps. Three sites were selected as the most suitable places: 1) Site A with 22.5% or 12.154km2 ; Site B with 53.33% or 28.82 km2 ; and Site C with 10.23% or 5.53 km2 . The average annual energy potential of the selected sites was found to be 45.13 GWh. This energy potential was based on the: 1) calculated average annual solar radiation per unit surface area; 2) total suitable areas; and 3) efficiency of the PV panels. Research Article Wed, 01 Jan 2020 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/456 2020-01-01T00:00:00Z http://197.159.135.214/jspui/handle/123456789/455 Assessment of Different Sands Potentiality to Formulate an Effective Thermal Energy Storage Material (TESM) Boubou, Bagre; Kolawole, Muritala Ibrahim; Makinta, Boukar; Tizane, Daho; Jacques, Nebie; Adamou, Rabani; Antoine, Bere Research Article Wed, 01 Jan 2020 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/455 2020-01-01T00:00:00Z