Optimum Design of a Renewable-Based Integrated Energy System in Autonomous Mode for a Remote Hilly Location in Northeastern India

Samrat Chakraborty, Debottam Mukherjee, Pabitra Kumar Guchhait, Somudeep Bhattacharjee, Almoataz Youssef Abdelaziz and Adel El-Shahat ()
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Samrat Chakraborty: Department of Electrical Engineering, National Institute of Technology Arunachal Pradesh, Jote 791113, Arunachal Pradesh, India
Debottam Mukherjee: Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, Uttar Pradesh, India
Pabitra Kumar Guchhait: Department of Electrical Engineering, G. H. Raisoni College of Engineering and Management, Pune 412207, Maharashtra, India
Somudeep Bhattacharjee: Department of Electrical Engineering, Tripura University, Agartala 799022, Tripura, India
Almoataz Youssef Abdelaziz: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Adel El-Shahat: Energy Technology Program, School of Engineering, Purdue University, West Lafayette, IN 47907, USA

Energies, 2023, vol. 16, issue 4, 1-30

Abstract: Integration of a grid with an under-developed remote hilly area faces various technical and geographical challenges. Thus, generation of power from renewable resources in off-grid conditions has become one of the most cost-effective and reliable solutions for such areas. The present research deals with the possible application of an integrated solar/hydro/biomass/battery-based system to generate power in autonomous mode for a remote hilly town of a northeastern Indian state. Four different cases of the integrated energy system (IES) were designed using the hybrid optimization model for electric renewable (HOMER Pro), examining the performance of each case. The best combination of the integrated system was chosen out of several cases depending upon the optimized solution that can meet the load demand of the proposed hilly town sustainably, reliably and continuously. The simulation results show that the integrated battery/biomass/hydro/solar-based system is the best optimized, cheapest and most suitable solution to generate renewable-based power for the specified location, having the lowest net present cost (NPC) of USD 644,183.70 with a levelized cost of energy (COE) of 0.1282 USD/kWh. Further, the result also indicates that the optimized configuration reduces the emission of CO 2 gas in the environment compared to the battery/biomass/hydro system having the worst emission rate. A sensitivity study was also carried out with variation in load, hydro stream flow and solar irradiation, respectively that may largely affect the technical as well as economical aspect of an integrated energy system.

Keywords: biomass system; cost of energy; HOMER Pro software; hydro power; integrated energy system; net present cost; sensitivity analysis; solar PV; techno-economic analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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