Optimization of Stand-Alone Renewable Energy Facilities Inside an Academic Premises

Abstract

Energy conservation and carbon-dioxideemissions revamp energy management initiatives in institutions. Renewable energy powered equipment are employed to achieve this task. This paper integrates an energy mixture facility using heuristic techniques for allocating renewable energy facilities to power street lamps installed in academic premises. A case study is done on a college campus to analyze the feasibility of improved Hybrid optimization using genetic algorithm (iHOGA). The iHOGA offers simple steps and provides more allocation plans to satisfy minimum net-present cost (NPC), minimum carbon-dioxide (CO₂) emissions, and minimum unmet load (UL). The results demonstrate that the best solution obtained for solving multi-objective optimization considering three objectives include the exploitation of both solar and wind energy.