ASRIC Journal of Engineering Sciences 2025 v6-i1
ISSN: 2795-3556
EISSN: 2795-3556
Current Issue
ASRIC Journal of Engineering Sciences 2025 v6-i1
Published: 2025-12-31
Articles
Regulating Beyond the Grid: Harnessing Big Data Analytics for Sustainable and Inclusive Off-Grid Energy Systems
Isa Kabenge, Simon Savio Kizito, Job Mutyaba*
Pay-as-you-go (PAYG) solar firms generate high-frequency operations data, yet regulators rarely use these streams to underpin oversight. This paper analyses twelve months of transaction data from two PAYG portfolios in Uganda and Rwanda (over 115,000 customer accounts; 2019) to propose regulator-ready indicators for off-grid electrification. The two firms' datasets were cleaned, harmonised, and an
Analyzing Distribution Network Performance Gaps and Modernization Challenges in Uganda’s Electricity Sector: A Case Study of Kampala West Region
Hassan Ssekaayi, Judith Taaka, Milton Edimu, Jane Namaganda Kiyimba
This paper analyzes Uganda’s electricity distribution network performance gaps and modernization challenges using Kampala West region’s Kitala feeder as a case study. Industry-standard reliability indices including System Average Interruption Duration Index (SAIDI), System Average Interruption Frequency Index (SAIFI), Customer Average Interruption Duration Index (CAIDI), modernization maturity ass
Dual-Mode Smart Waste Bin with Sensor-Based Sorting and Waste Compacting for Manual and Automatic Operation
S.A. Nchor*, A. Amankwaa F. A. Nabila, B. Amponsah, J. Agyapong
This paper presents the design and implementation of a solar-powered, dual-mode smart waste management system capable of detecting, classifying, and compacting four categories of solid waste: metal, plastic, wet waste, and paper. The system employs inductive, capacitive, moisture, and ultrasonic sensors to achieve detection accuracies of 89%, 90%, 91%, and 92%, respectively. Integrated with a GSM-
Parameterizing Key Elements for Simulating Pearl Millet (Pennisetumglaucum L.) Productivity In Semi-Arid Environments: A Calibration and Validation Approach
Nureni I. Lawal, Muhammad M. Haruna, Jibrin M. Dibal
Given the water scarcity and nutritional importance of millet in semi-arid Northeastern Nigeria, this study evaluated the AquaCrop model's performance using pearl millet in Maiduguri. Two-year field experiments under deficit irrigation provided data for model evaluation. A custom millet crop file was developed, calibrated with 2022/2023 data, and validated with 2021/2022 data. The model accurately
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