Design and Optimization of a Campus Microgrid using the HOMER Simulator

Abstract

In light of recent population expansion and increased industrialization, there is a substantial increase in demand for electrical energy. Due to greenhouse gas emissions, depleting fossil fuels, and high lifecycle costs, traditional energy resources have proved to be a hurdle in the path of development. Given their independence from fossil fuels, increased dependability, and zero carbon emissions, microgrids powered by renewable energy sources stand out as being among the most environmentally friendly ways to meet future energy demands. To achieve the seventh Sustainable Development Goal by 2030, academic and research institutions must be at the forefront of research and development efforts on the transition to sustainable energy. In this paper, we have explored the optimization and implementation of institutional-based sustainable microgrids based on aspects like cost analysis, carbon emission, and the availability of energy resources. To fulfill the technical and emission limits as well as to obtain the lowest investment and operating costs, the ideal size of Hybrid Renewable Energy Systems (HREs) equipment should be chosen. Hybrid Optimization of Multiple Energy Resources (HOMER) software is one of the most effective tools for modelling and optimization. NASA's (National Aero Space Agency) solar and wind data is used to obtain metrological information, such as solar irradiance and wind speed.