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Modeling of hybrid energy system for futuristic energy demand of an Indian rural area and their optimal and sensitivity analysis

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  • Nag, Aditya Kumar
  • Sarkar, Shibayan

Abstract

The aim of this paper is to model a hybrid energy system for rural India. In this analysis a hybrid renewable system consists of solar-wind-hydrokinetic-bioenergy is proposed. Overall analysis including Optimization and sensitive analysis are evaluated by HOMER software. Optimized results are evaluated considering total net present cost, cost of energy, annual electric generation, renewable fraction and CO2 emission. The analysis is done in order to increase efficiency of the system with comparatively less cost. From this exercise it is found that, combinations of more varieties of different renewable energy system are better to fulfill futuristic demand. Futuristic demand is calculated by logistic growth model. The value of COEs ($) and total generations (kWh/yr) are 0.3563 and 133045; 0.247 and 170948; 0.242 and 179018; 0.241 and 179303 for the year (2012–2021), (2022–2031), (2032–2041) and (2042–2051) respectively. However some other combinations may produce more power, although in such cases, in order to storage excess power COE will increase. As compared to the year (2012–2021) to (2042–2051) the optimized COE of electricity is minimized, keeping Annual cost nearly constant and amount of electric generation is increased without much effect on environment.

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  • Nag, Aditya Kumar & Sarkar, Shibayan, 2018. "Modeling of hybrid energy system for futuristic energy demand of an Indian rural area and their optimal and sensitivity analysis," Renewable Energy, Elsevier, vol. 118(C), pages 477-488.
    • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:477-488
    DOI: 10.1016/j.renene.2017.11.047
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