An ICT-Integrated Predictive Maintenance Model for Enhancing Plant Availability in Thermal Power Plants: A Case Study of TANESCO, Tanzania

The thermal power sector in Tanzania faces increasing operational complexities and maintenance challenges that undermine plant reliability and efficiency. This paper focuses on the TANESCO Ubungo II Gas Plant, where recurring issues highlight the urgent need for advanced and sustainable maintenance strategies. The paper proposes a predictive maintenance model that integrates Process Control System 7 (PCS 7) with a Computerised Maintenance Management System. A mixed-methods approach was employed, combining qualitative insights from literature and field studies with quantitative techniques, including regression analysis. Key variables influencing plant availability, uptime, downtime, overhaul frequency, operational expertise, and environmental conditions were analysed using multiple regression and the Relative Importance Index to determine their relative contribution to plant performance. The findings indicate that strategic integration of ICT within maintenance frameworks significantly improves the accuracy of failure prediction, reduces downtime, and enhances operational efficiency. The model demonstrates the potential to optimise maintenance schedules, extend asset life, and lower overall operational costs. This paper contributes to the growing body of knowledge on predictive maintenance in the energy sector and provides practical insights for enhancing power plant performance in Tanzania and other developing economies