Energy Reliability and Its Implications for Translational Research Capacity in Nigeria’s Tertiary Institutions

Ibrahim Taibat, Abdullahi S Adamu, Idris M Mustapha, Madaki S Kabiru, and Ibrahim A Muhammed
2026-07-29 32 views 1 downloads

 

This study investigated the implications of electricity reliability for translational research capacity in Nigerian tertiary institutions using a cross-sectional survey and quantitative laboratory energy assessment. Data were obtained from 90 respondents drawn from universities, polytechnics, and research institutes across Nigeria. Electricity reliability was estimated using an operational availability factor, while laboratory energy demand and backup energy adequacy were evaluated using standard engineering models. Findings revealed a highly unstable electricity supply, with 39% of respondents experiencing outages of 4–6 hours daily and 28% reporting interruptions exceeding 7 hours per day. Estimated electricity availability ranged from 0.75 to 0.83, while laboratory energy demand ranged from 10 to 50 kWh/day, depending on laboratory intensity and equipment usage. Although diesel generators (85%), solar photovoltaic systems (60%), and inverter systems (30%) were commonly used as backup energy sources, they were often inadequate for uninterrupted laboratory operations. Statistical analysis showed significant associations between electricity reliability and laboratory disruption (p = -0.68), project delays (p = -0.61), and research productivity (p = 0.64), all at p < 0.01. Linear regression further showed that electricity reliability was significantly associated with research productivity (B = 0.59, R^2 = 0.41, p < 0.01). Respondents also reported equipment downtime, disruption of sensitive laboratory procedures, loss of experimental samples, and delays in research timelines. The study concludes that electricity instability is an important infrastructural constraint on translational research capacity and recommends investment in hybrid renewable energy systems, dedicated research power infrastructure, and institutional energy planning to strengthen scientific productivity and innovation.

 

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