African Nanotechnology in Engineering (Environmental applications)

Advancing Scholarship Across the Continent

Vol. 2002 No. 1 (2002)

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Evaluation of Power-Distribution Equipment Systems in Tanzania: A Randomized Field Trial for Risk Reduction Analysis

Jane Nkatha, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha Michael Simba, Catholic University of Health and Allied Sciences (CUHAS) John Mwai, Tanzania Commission for Science and Technology (COSTECH) Sarah Ndiwa, Catholic University of Health and Allied Sciences (CUHAS)
DOI: 10.5281/zenodo.18749285
Published: January 9, 2002

Abstract

Power-distribution equipment systems in Tanzania face significant challenges related to reliability and efficiency. A randomized controlled trial was conducted across five regions of Tanzania, assessing the impact of different system configurations on performance metrics such as power loss and downtime. The analysis revealed that a specific configuration reduced power losses by an average of 12.5% compared to traditional systems (95% confidence interval: -14.2% to -10.8%). The randomized field trial demonstrated the effectiveness of the new system in improving reliability and reducing operational risks. Implementing the recommended configuration is expected to result in significant cost savings and improved service delivery across Tanzania’s power distribution networks. Power Distribution, Randomized Field Trial, Risk Reduction, Power Loss, Downtime The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

How to Cite

Jane Nkatha, Michael Simba, John Mwai, Sarah Ndiwa (2002). Evaluation of Power-Distribution Equipment Systems in Tanzania: A Randomized Field Trial for Risk Reduction Analysis. African Nanotechnology in Engineering (Environmental applications), Vol. 2002 No. 1 (2002). https://doi.org/10.5281/zenodo.18749285

Keywords

TanzaniaGeographic Information Systems (GIS)Power DistributionRandomized Controlled TrialRisk AssessmentEquipment ReliabilityPerformance Metrics

References