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Optimum combination of renewable resources to meet local power demand in distributed generation: A case study for a remote place of India

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  • Das, Sayan
  • Ray, Avishek
  • De, Sudipta

Abstract

India has a large population and its fossil fuel-based power is about 70%. Most of the Indian power is supplied by large power plants through the national grid. It is currently facing the formidable challenge to meet the mission: ‘clean electricity for all’. Distributed power supply using local renewable resources, maybe a better shift from existing practice, specifically for new areas of electrification. This study explores the feasibility of distributed generation with available local renewable resources for a remote village on the Himalayan Mountains of a northeast state of India. Currently, electricity in this village through the national grid is unavailable. Villagers are forced to use diesel generator (DG) sets. This study explores the feasibility of using local renewable options to meet the local load demand with a minimum cost of electricity (COE). HOMER simulation and MCDM approach is used for an optimized decentralized hybrid renewable energy solution (wind-hydro-battery) with minimum DG support. A minimum COE ($0.63/kWh) and CO2 emissions (481 kg/year) are estimated for optimum uninterrupted power supply.

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  • Das, Sayan & Ray, Avishek & De, Sudipta, 2020. "Optimum combination of renewable resources to meet local power demand in distributed generation: A case study for a remote place of India," Energy, Elsevier, vol. 209(C).
  • Handle: RePEc:eee:energy:v:209:y:2020:i:c:s0360544220315814
    DOI: 10.1016/j.energy.2020.118473
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