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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

Authors: Vahini Komanapalli, Swapna Mansani, Santoshkumar Hampannavar, Deepa Bobbakunte

Published in: Electrical Engineering | Issue 1/2025

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Abstract

The article focuses on the development and economic assessment of a hybrid renewable energy system in North Eastern India, specifically the Cachar district of Assam. It explores the integration of solar, wind, and biomass energy sources to address the region's energy demands sustainably. The study includes a detailed analysis of resource forecasting using time series models, system design, and economic evaluation. It highlights the potential of these renewable energy sources to meet the region's energy needs while minimizing environmental impact and reducing costs. The research also includes a sensitivity analysis to evaluate the system's performance under varying conditions. The article concludes by validating the proposed system's effectiveness through comparisons with existing literature and suggests its potential for sustainable development in the region.

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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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Title: Source forecasting and economic/environmental assessment of hybrid renewable energy system in North Eastern State of India
Authors: Vahini Komanapalli
Swapna Mansani
Santoshkumar Hampannavar
Deepa Bobbakunte
Publication date: 05-07-2024
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 1/2025
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-024-02567-6

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Springer Professional "Business + Economics & Engineering + Technology"

Springer Professional "Engineering + Technology"

Springer Professional "Business + Economics"

Surface defect prediction on printed circuit boards using a novel deep learning model with spatial and channel attention-based DenseNet

Optimization model of combined peak shaving of virtual power grid and thermal power based on power IoT

A multi-objective economic emission dispatch problem in microgrid with high penetration of renewable energy sources using equilibrium optimizer

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