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Optimal hybrid renewable energy systems for energy security: a comparative study
Authors:Anis Afzal  Mohibullah Mohibullah  Virendra Kumar Sharma
Affiliation:1. Faculty of Engineering and Technology , Aligarh Muslim University , Aligarh , India anis_afzal@hotmail.com;3. Faculty of Engineering and Technology , Aligarh Muslim University , Aligarh , India;4. Bhagwant Institute of Technology , Muzaffarnagar , India
Abstract:A hybrid power system may be used to reduce dependency on either conventional energy or renewable systems. This article deals with the sizing, generator running hours, sensitivity analysis, optimisation, and greenhouse gas emission analysis of hybrid renewable energy systems (HRES). Two locations have been selected where the feasibility of using different hybrid systems is studied for the same load demand. One site is the small remote community of Amini in the Lakshadweep Islands, located in southern India in the Arabian Sea, where solar and/or wind energy is always available throughout the year to provide energy security. Another place is the rural township of Hathras, in the northern Indian state of Uttar Pradesh, where agricultural biomass is found in abundance for the whole year. A comparative study has been made for the two locations for the same load demand by simulating HRES. To achieve the goal of simulation, the hybrid optimisation model for electric renewables (HOMER) software of the National Renewable Energy Laboratory, USA, is used. An optimisation model of a hybrid renewable system has been prepared which simplifies the task of evaluating the design of an off-grid/standalone system. After simulating all possible system equipment with their sizes, a list of many possible configurations may be evaluated and sorted by net present cost to compare the design options. An elaborate sensitivity analysis has been used for each input variable; the whole optimisation process is repeated to get simulated system configurations
Keywords:emission  energy security  hybrid energy  optimisation technique  renewable energy integration  sensitivity analysis
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