Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas

Suresh Vendoti, M. Muralidhar, R. Kiranmayi · 2020 · Energy Reports

Summary. This paper designs and optimizes an off-grid hybrid renewable energy system to electrify three villages in Karnataka, India. Using genetic algorithms and HOMER Pro software, the authors compared four hybrid configurations combining biogas, biomass, solar, wind, and fuel cells with battery storage. The optimal system achieved zero unmet load at $0.163 per kilowatt-hour, reducing total system costs and emissions while outperforming conventional optimization methods.

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@article{vendoti-2020-modelling-optimization-off-grid-hybrid,
  title   = {Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas},
  author  = {Suresh Vendoti and M. Muralidhar and R. Kiranmayi},
  journal = {Energy Reports},
  year    = {2020},
  doi     = {10.1016/j.egyr.2020.01.013},
  url     = {https://doi.org/10.1016/j.egyr.2020.01.013}
}

TY  - JOUR
TI  - Modelling and optimization of an off-grid hybrid renewable energy system for electrification in a rural areas
AU  - Suresh Vendoti
AU  - M. Muralidhar
AU  - R. Kiranmayi
JO  - Energy Reports
PY  - 2020
DO  - 10.1016/j.egyr.2020.01.013
UR  - https://doi.org/10.1016/j.egyr.2020.01.013
ER  - 

Details

DOI

10.1016/j.egyr.2020.01.013

Countries

India

Regions

Asia

Categories

energy, climate-and-environment

Added

2026-04-28