Techno economic assessment and anfis driven optimization for solar pv-biomass hybrid energy system
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Date
2024-06
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Kampala International University
Abstract
Rural electrification in remote regions of developing nations is crucial for advancing economic and social development. However, many off-grid hybrid systems installed in rural Ugandan settlements fail to meet recipients' energy needs adequately, leading to neglect and inefficiency. Proper sizing of photovoltaic (PV) systems is essential for maximizing reliability and public acceptance in off-grid applications. This research project systematically designs and evaluates the economic feasibility of a solar PV-biomass hybrid energy system for rural electrification in the Ugandan district of Kebisoni Rukungiri. The study incorporates the Adaptive Neuro-Fuzzy Inference System (ANFIS) method to enhance precision and modeling accuracy. Solar radiation levels and biomass sources are sourced from NASA's website and the Uganda Meteorological Center. MATLAB/Simulink tools are utilized to model and simulate various hybrid system setups, accounting for local conditions and limitations. Results from three hybrid system configurations highlight trade-offs between the cost of energy (COE) and net present value (NPV). In Case 1, NPV is 75.78% with a COE of 809.99 Ugx. In Case 2, NPV is 68.75% with a COE of 284 Ugx. In Case 3, NPV is 77.95% with a COE of 751 Ugx. Each configuration presents distinct cost-performance balances, suggesting potential economic advantages with varied setups. Comparisons with existing systems reveal significant NPV reductions, indicating substantial cost savings and potential financial gains. This cost-effective and sustainable approach to rural electrification offers a viable solution for meeting electricity demands in remote areas, ultimately fostering economic development and enhancing living standards. Notably, the proposed hybrid system generates an average of 766.5 kWh of energy per day, further underscoring its potential impact on meeting local energy needs.
Description
A research thesis submitted to the school of postgraduate study Kampala International University in partial fulfillment of the requirements for the award of the degree of Master of Science in Electrical Engineering