Volume 20, No. 02A, Month AUGUST, Year 2020, Pages 255 - 264

Optimization of stand-alone renewable energy facilities inside an academic premises

Rajendran Joseph Rathish, Krishnan Mahadevan

Abstract Download PDF

Energy conservation and carbon-dioxide emissions 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.


iHOGA, multi-objective, optimization, renewable energy, stand-alone.


Published by : Asian Institute of Technology
Contributions welcome at :