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Electrical Engineering

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05.07.2024 | Original Paper

Source forecasting and economic/environmental assessment of hybrid renewable energy system in North Eastern State of India

verfasst von: Vahini Komanapalli, Swapna Mansani, Santoshkumar Hampannavar, Deepa Bobbakunte

Erschienen in: Electrical Engineering | Ausgabe 1/2025

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Abstract

Clean and sustainable energy holds preeminent importance from a socio-environmental standpoint and can be achieved through the implementation of a hybrid renewable energy system (HRES). As well as ensuring the stable and reliable operation of power systems amidst the increasing integration of renewable energy sources, precise source forecasting becomes indispensable. Thus, this paper presents a pioneering HRES design incorporating photovoltaic (PV), wind turbine (WT), and biogas generator (Bio) technologies, wherein animal manure is utilized as biomass for the sustainable valorization of animal waste. The preliminary objective of this study is to address the prevailing gaps to attain sustainable energy production that is both cost-optimal and technically efficient. Consequently, this paper investigates source forecasting through time series modeling, and assesses the techno-environmental and economic viability of HRES (both off-grid and on-grid) within the northeastern state of India, specifically focusing on the case study of the Cachar district in Assam state. Moreover, real data analysis is conducted to model and optimize the hybrid system. The findings reveal promising outcomes in terms of cost, emissions, and electrical energy potential, in which the optimal configuration PV/Bio with grid results in a net present cost (NPC) of 0.659 M$, cost of energy (COE) of 0.00684 $/kWh, and CO$_2$ emission of 2368 kg/yr. For the off-grid, the optimal configuration PV/Bio/Battery obtained with NPC of 2.49 M$, COE of 0.218 $/kWh, and CO$_2$ emission of 346 kg/yr. The analyzed results of the off-grid case are compared and validated with existing literature on different energy economics with optimum configurations. The obtained optimum system is more cost-effective than the existing systems in the literature. Furthermore, a sensitivity analysis is performed to assess the system’s robustness. Finally, this study endeavors to project a future power system for one of the prominent regions in Assam, an Indian state.

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Titel: Source forecasting and economic/environmental assessment of hybrid renewable energy system in North Eastern State of India
verfasst von: Vahini Komanapalli
Swapna Mansani
Santoshkumar Hampannavar
Deepa Bobbakunte
Publikationsdatum: 05.07.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Electrical Engineering / Ausgabe 1/2025
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-024-02567-6

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An efficient hybrid approach for high-gain DC–DC converter for hydropower operated plants on DC load with super-lift converters

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Detection and classification of SMC composites based on LIBS

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