Decision Support Tool for Electric Power Generation Development: A Feasibility Analysis for a Nigerian Case
Journal article
Otobo, J., Hartungi, R., Ibraheem, Y. and Estebsari, A. (2023). Decision Support Tool for Electric Power Generation Development: A Feasibility Analysis for a Nigerian Case . Electronics. 12 (13), p. 2807. https://doi.org/10.3390/electronics12132807
Authors | Otobo, J., Hartungi, R., Ibraheem, Y. and Estebsari, A. |
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Abstract | Electricity is a crucial component of sustainable development in developing countries, providing opportunities to supply low-cost clean energy to their populations. This paper presents a decision support tool for the Nigerian case, allowing users to rank different enhancement options to meet future scenarios. The tool enables feasibility checks on infrastructure capacity and can handle various generation options, including low-cost renewable resources. It is easy to use for non-experts and decision-makers and incorporates an optimal power flow algorithm to minimize costs. Demonstrated on a modified IEEE 30-bus system informed by Nigerian scenarios, this tool can provide policymakers with valuable insights for long-term investment decisions and facilitate the delivery of low-cost, clean energy to developing countries. |
Keywords | Power systems, Nigeria, Policy, Sustainability, Renewable Energy (RE) |
Year | 2023 |
Journal | Electronics |
Journal citation | 12 (13), p. 2807 |
Publisher | MDPI |
ISSN | 2079-9292 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/electronics12132807 |
Web address (URL) | https://www.mdpi.com/2079-9292/12/13/2807 |
Publication dates | |
25 Jun 2023 | |
Publication process dates | |
Accepted | 23 Jun 2023 |
Deposited | 30 Jun 2023 |
Publisher's version | License File Access Level Open |
Accepted author manuscript | License File Access Level Controlled |
https://openresearch.lsbu.ac.uk/item/944v6
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