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Review Article

Navigating prospects and challenges for green fuels for achieving economical, environmental and ecological resilience: a scientific review

ORCID Icon, , , ORCID Icon, , , , & ORCID Icon show all
Pages 929-941 | Received 13 Oct 2023, Accepted 20 Dec 2023, Published online: 27 Dec 2023
 

Abstract

This review explores the potential of green fuels, derived from biological sources, as a viable replacement for conventional fossil fuels. Green fuels offer significant environmental benefits, including reduced greenhouse gas emissions, improved air and water quality, and decreased carbon output. Extensive research and development efforts are underway to enhance their efficiency and performance. The review critically assesses the feasibility of adopting green fuels as a key driver for environmental sustainability and economic growth. It examines the use of green fuels, highlights their advantages over fossil fuels, and delves into the global landscape of green fuel production. Additionally, it explores the challenges hindering their worldwide integration and commercialization. Based on a synthesis of existing literature, the review reveals a clear upward trend in global green fuel production over the past two decades. The primary types of green fuels, including biodiesel, biogas, bioethanol, and bio-butanol, offer promising economic opportunities for rural communities, reduced reliance on finite fossil fuels, and diverse economic benefits. The development and utilization of sustainable green fuels are crucial for mitigating environmental degradation and fostering a sustainable economy. The review emphasizes the need for collaboration between government, academia, and industry to accelerate research and development efforts in this crucial area.

Disclosure statement

No potential competing interest was reported by the author(s).

Data availability statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Additional information

Funding

This research was funded by the University of Technology Sydney through Strategic Research Support funding with grant number [324100.2200034].

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