Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis

The need for inexpensive and sustainable electricity has become an exciting adventure due to the recent rise in local population number of visitors visiting Banana Islands. Islands is a grid-isolated environment with abundant renewable energy, establishing hybrid energy-based power system may be viable solution high cost diesel fuel. This paper describes dual-flow optimization method electrifying Islands, remote island Sierra Leone. study weighs pros cons maintaining current diesel-based setup versus introducing energy that takes backup component analysis into account. Hybrid Optimization Multiple Energy Resources (HOMER) software used first optimally design various configurations based on techno-economic environmental characteristics. A Multi-Attribute Decision-Making (MADM) Model account second optimization, Combinative Distance-based Assessment System (CODAS) algorithm, methods assigning weights attributes rank best configuration. results show better option than stand-alone system. Analytical Hierarchy Process (AHP) weight assignment was found superior Entropy method. Biogas generator-assisted outperformed configurations. With optimum 101 kW PV, 1 wind turbine, 50 biogas, 86 batteries, 37.8 converter, PV-wind-biogas-battery rated as It net present (NPC) $487,247, (COE) $0.211/kWh, CO2 emission 17.5 kg/year. Sensitivity analyses reveal changes rate inflation storage have significant effect overall