A STEEP-cum-SWOT approach for maintenance strategy evaluation for an off-grid PV-powered street lighting system

Desmond Eseoghene Ighravwe, Moses Olubayo Babatunde, Iheanacho Henry Denwigwe and Daniel Osezua Aikhuele

African Journal of Science, Technology, Innovation and Development, 2020, vol. 12, issue 6, 703-714

Abstract: Recently, the installation of street light systems in remote communities has experienced significant improvement. This improvement has a direct relationship with the innovations in off-grid standalone energy sources. However, there exists sparse information on standalone PV-powered street light system maintenance. This is because existing models consider mainly the technical aspects of this system maintenance. The current study, therefore, presents a robust perspective on this system maintenance. It presents a framework that evaluates maintenance strategies for off-grid PV-powered street light systems; the framework considered STEEP (social, technical, economic, environmental and policy) requirements during maintenance activities. These requirements were used to design a SWOT (strength, weakness, opportunity and threats) framework that analyzes maintenance strategies for this system using a standard TOPS IS (Technique for Order of Preference by Similarity to Ideal Solution) and a fuzzy TOPSIS (F-TOPSIS) methods. Data from a community in Nigeria were used to test the proposed STEEP-cum-SWOT framework performance. It was observed that risk-based and condition-based maintenance strategies are the least and most suitable strategies for a standalone off-grid PV-powered street light system in the community.

Date: 2020
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DOI: 10.1080/20421338.2019.1701775

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