Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Polamarasetty P Kumar; Akhlaqur Rahman; Ramakrishna S. S. Nuvvula; Ilhami Colak; S. M. Muyeen; Sk. A. Shezan; G. M. Shafiullah; Md. Fatin Ishraque; Md. Alamgir Hossain; Faisal Alsaif; Rajvikram Madurai Elavarasan

doi:10.3390/su151310137

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Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Journal article

Open access

Peer reviewed

Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies

Polamarasetty P Kumar, Akhlaqur Rahman, Ramakrishna S. S. Nuvvula, Ilhami Colak, S. M. Muyeen, Sk. A. Shezan, G. M. Shafiullah, Md. Fatin Ishraque, Md. Alamgir Hossain, Faisal Alsaif, …

Sustainability (Basel, Switzerland), Vol.15(13), 10137

2023

DOI: https://doi.org/10.3390/su151310137

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Abstract

Rural electrification is necessary for both the country’s development and the well-being of the villagers. The current study investigates the feasibility of providing electricity to off-grid villages in the Indian state of Odisha by utilizing renewable energy resources that are currently available in the study area. However, due to the intermittent nature of renewable energy sources, it is highly improbable to ensure a continuous electricity supply to the off-grid areas. To ensure a reliable electricity supply to the off-grid areas, three battery technologies have been incorporated to find the most suitable battery system for the study area. In addition, we evaluated various demand side management (DSM) techniques and assessed which would be the most suitable for our study area. To assess the efficiency of the off-grid system, we applied different metaheuristic algorithms, and the results showed great promise. Based on our findings, it is clear that energy-conservation-based DSM is the ideal option for the study area. From all the algorithms tested, the salp swarm algorithm demonstrated the best performance for the current study.

Details

Title: Using Energy Conservation-Based Demand-Side Management to Optimize an Off-Grid Integrated Renewable Energy System Using Different Battery Technologies
Authors/Creators: Polamarasetty P Kumar
Akhlaqur Rahman - Institute of Industrial Engineering
Ramakrishna S. S. Nuvvula
Ilhami Colak - İstanbul Nişantaşı Üniversitesi
S. M. Muyeen - Qatar University
Sk. A. Shezan - Institute of Industrial Engineering
G. M. Shafiullah - Murdoch University, Centre for Water, Energy and Waste
Md. Fatin Ishraque - Pabna University of Science and Technology
Md. Alamgir Hossain - Griffith University
Faisal Alsaif - King Saud University
Rajvikram Madurai Elavarasan
Publication Details: Sustainability (Basel, Switzerland), Vol.15(13), 10137
Publisher: MDPI
Identifiers: 991005593758607891
Copyright: © 2023 by the authors.
Murdoch Affiliation: School of Engineering and Energy
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.18 Power Systems & Electric Vehicles; 4.18.296 Energy Forecasting
Web Of Science research areas: Environmental Sciences; Environmental Studies; Green & Sustainable Science & Technology
ESI research areas: Environment/Ecology