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Article

Solar, Wind, Hydrogen, and Bioenergy-Based Hybrid System for Off-Grid Remote Locations: Techno-Economic and Environmental Analysis

1
School of Engineering and Technology, Central Queensland University, Melbourne, VIC 3000, Australia
2
Department of Mechanical Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh
3
Missouri University of Science and Technology, Rolla, MO 65401, USA
4
Queensland Micro-and Nanotechnology Centre, Griffith University, Nathan, QLD 4111, Australia
*
Author to whom correspondence should be addressed.
Clean Technol. 2025, 7(2), 36; https://doi.org/10.3390/cleantechnol7020036
Submission received: 28 February 2025 / Revised: 15 April 2025 / Accepted: 20 April 2025 / Published: 23 April 2025

Abstract

Transitioning to clean energy in off-grid remote locations is essential to reducing fossil-fuel-generated greenhouse gas emissions and supporting renewable energy growth. While hybrid renewable energy systems (HRES), including multiple renewable energy (RE) sources and energy storage systems are instrumental, it requires technical reliability with economic efficiency. This study examines the feasibility of an HRES incorporating solar, wind, hydrogen, and biofuel energy at a remote location in Australia. An electric vehicle charging load alongside a residential load is considered to lower transportation-based emissions. Additionally, the input data (load profile and solar data) is validated through statistical analysis, ensuring data reliability. HOMER Pro software is used to assess the techno-economic and environmental performance of the hybrid systems. Results indicate that the optimal HRES comprising of photovoltaic, wind turbines, fuel cell, battery, and biodiesel generators provides a net present cost of AUD 9.46 million and a cost of energy of AUD 0.183, outperforming diesel generator-inclusive systems. Hydrogen energy-based FC offered the major backup supply, indicating the potential role of hydrogen energy in maintaining reliability in off-grid hybrid systems. Sensitivity analysis observes the effect of variations in biodiesel price and electric load on the system performance. Environmentally, the proposed system is highly beneficial, offering zero carbon dioxide and sulfur dioxide emissions, contributing to the global net-zero target. The implications of this research highlight the necessity of a regional clean energy policy facilitating energy planning and implementation, skill development to nurture technology-intensive energy projects, and active community engagement for a smooth energy transition. Potentially, the research outcome advances the understanding of HRES feasibility for remote locations and offers a practical roadmap for sustainable energy solutions.
Keywords: renewable energy; hydrogen energy; photovoltaic; fuel cell; wind turbine; biodiesel generator; decarbonization; HOMER software renewable energy; hydrogen energy; photovoltaic; fuel cell; wind turbine; biodiesel generator; decarbonization; HOMER software

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MDPI and ACS Style

Yasmin, R.; Nabi, M.N.; Rashid, F.; Hossain, M.A. Solar, Wind, Hydrogen, and Bioenergy-Based Hybrid System for Off-Grid Remote Locations: Techno-Economic and Environmental Analysis. Clean Technol. 2025, 7, 36. https://doi.org/10.3390/cleantechnol7020036

AMA Style

Yasmin R, Nabi MN, Rashid F, Hossain MA. Solar, Wind, Hydrogen, and Bioenergy-Based Hybrid System for Off-Grid Remote Locations: Techno-Economic and Environmental Analysis. Clean Technologies. 2025; 7(2):36. https://doi.org/10.3390/cleantechnol7020036

Chicago/Turabian Style

Yasmin, Roksana, Md. Nurun Nabi, Fazlur Rashid, and Md. Alamgir Hossain. 2025. "Solar, Wind, Hydrogen, and Bioenergy-Based Hybrid System for Off-Grid Remote Locations: Techno-Economic and Environmental Analysis" Clean Technologies 7, no. 2: 36. https://doi.org/10.3390/cleantechnol7020036

APA Style

Yasmin, R., Nabi, M. N., Rashid, F., & Hossain, M. A. (2025). Solar, Wind, Hydrogen, and Bioenergy-Based Hybrid System for Off-Grid Remote Locations: Techno-Economic and Environmental Analysis. Clean Technologies, 7(2), 36. https://doi.org/10.3390/cleantechnol7020036

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