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Techno economic performance analysis of hybrid renewable electrification system for remote villages of India
Author(s) -
S Jeyasudha,
Krishnamoorthy Murugaperumal,
Saisandeep Mummadi,
Balasubramanian Karthik,
Srinivasan Suresh,
Thaniaknti Sudhakar Babu
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12515
Subject(s) - electrification , renewable energy , rural electrification , net present value , environmental economics , hybrid system , renewable resource , engineering , investment (military) , wind power , sustainability , feed in tariff , environmental science , electricity , computer science , electrical engineering , production (economics) , economics , ecology , energy policy , machine learning , politics , law , political science , biology , macroeconomics
Summary This paper mainly deals with the optimum design and performance of the hybrid renewable electrification system for remote villages of southern part of India. Constructed and simulated a hybrid renewable energy (HRE) system, which was consists of fully village owned renewable resources such as solar, wind and biomass energies. Through this case study a typical Indian village load demand wants to meet out by suitable hybrid renewable configuration with optimum performance and least investment. The proposed system's technical performance was ensuring by highest renewable fraction and least annual unmet load percentage. The economical performances of the system were witnessed by the least net present cost and minimum cost of energy. The further sensitivity analysis of the proposed remote village electrification system has been verified by NREL's HOMER software tool. The outcome of the different HRE configuration's competitions were established that the PV/wind/biomass based hybrid renewable power generations at standalone mode was highly commendable electrification system for remote village energy sustainability.

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