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Source forecasting and economic/environmental assessment of hybrid renewable energy system in North Eastern State of India
被引:1
作者:
Komanapalli, Vahini
[1
]
Mansani, Swapna
[1
]
Hampannavar, Santoshkumar
[2
,3
,4
]
Bobbakunte, Deepa
[5
]
机构:
[1] Natl Inst Technol, Dept Elect Engn, Silchar 788010, Assam, India
[2] REVA Univ, Sch Elect & Commun Engn, Bangalore 560064, Karnataka, India
[3] JSPM Univ, Sch Elect & Commun Sci, Pune 412207, Maharashtra, India
[4] Univ Johannesburg, Elect & Elect Engn Sci, Johannesburg, South Africa
[5] RYM Engn Coll, Dept Elect & Elect Engn, Bellary 610101, Karnataka, India
基金:
美国国家航空航天局;
关键词:
Hybrid system;
Sustainable energy;
Renewable sources;
Source forecasting;
Economic viability;
Environmental assessment;
D O I:
10.1007/s00202-024-02567-6
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
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 CO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document} 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 CO2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_2$$\end{document} 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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页码:1075 / 1092
页数:18
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