Optimized Fuel Efficiency and Management of Diesel-Powered Thermal Plants for Power Generation Stations in Freetown

The vital component in resolving the growing problems associated with power generation is to develop a sustainable and efficient production system and to utilize consumer management and demand response with modern techniques through a sturdier strategy. Basically, an improved fuel monitoring system can save up to 30-40% of the fuel costs. Such savings guarantee ROI (Return on Investment) within 2-3 months. Since crude oil and fuel prices are incessantly rising, a huge percentage of companies operating on heavy power plants are reflecting upon reduction of fuel costs. By choosing appropriate fuel monitoring solutions, companies can reduce fuel costs and hence increase their productivity.This study develops tools and methods to determine an approach towards cost analysis in the direction of generating optimized solutions to economic problems in running diesel powered thermal plants. In this paper, we utilize a long-run oriented real-time prized based model to analyze the economic value of sporadic electricity generation in the Electricity Generation and Transmission Company (E.G.T.C) with reference to the Kingtom and Blackhall Road sub-stations.Both qualitative and quantitative methods are used to gather data from the case company through questionnaires to key personnel, observation and archival documents. The theoretical framework alternatively is structured through literature survey, scientific journals, articles and books relevant to this study. Finally, economic evaluation of the filtered factors is performed to show the benefits associated with optimization of fuel management systems.The results show that while investing on enhanced fuel monitoring systems and policy, implementation might be costly at the earlier stage of execution owing to its complexity. But they continually improve the company’s productivity and soon yield better returns. Consequently, this approach is a profit center rather than a cost center