Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production

• Main Authors: Shelare S.D., Belkhode P.N., Nikam K.C., Jathar L.D., Shahapurkar K., Soudagar M.E.M., Veza I., Khan T.M.Y., Kalam M.A., Nizami A.-S., Rehan M.
• Other Authors: 57195928420
• Format: Article
• Published: Elsevier Ltd 2024
• Subjects: Alternate fuel; Biofuel; Diesel; Fuel production; Global energy demand; IoT and machine learning; Sustainable development; Diesel engines; Diesel fuels; Economics; Energy management; Feedstocks; Fossil fuels; Fuel additives; Greenhouse gases; Internet of things; Machine learning; Palm oil; Renewable energy resources; Alternate fuels; Artificial intelligence learning; Biodiesel production; Machine learning technology; Machine-learning; Nano additives; alternative energy; artificial intelligence; biofuel; demand-side management; fossil fuel; Internet; machine learning; sustainable development; Biodiesel
• Institution: Universiti Tenaga Nasional

As the global population and economy grow, so does the energy demand. Over-reliance on non-renewable resources leads to depletion and price spikes, making renewable alternatives necessary. Biodiesel is an eco-friendly and non-toxic fuel that closely resembles traditional fossil fuels. It is produced from various sources, including animal fat, palm oil, and non-edible plant oil. Biodiesel releases fewer harmful air pollutants and greenhouse gases than fossil fuels and is simpler to manage. Despite these advantages, it cannot replace traditional diesel fuel on a large scale. This overview summarizes biodiesel production, explaining the different types of feedstock utilized and their benefits and drawbacks. Various biodiesel production methodologies are discussed. The primary objective of this article is to inform engineers, industrialists, and researchers involved in waste biodiesel, as well as to highlight waste biodiesel as a potential substitute for fossil fuels. This review article discusses the nano-additives in biodiesel and applications of internet of things, artificial intelligence, and machine learning in biofuel. This review shows that nano-additives can potentially improve biodiesel fuel properties, favorable economic and policy environments promoting biodiesel production, and internet of things, artificial intelligence, and machine learning technologies optimize the biodiesel production processes. These advances can help promote biodiesel as a cleaner, renewable energy source, lowering the consumption of fossil fuels. It also suggests further biofuel development by improving efficiency, expanding feedstock options, creating policy support, developing infrastructure, and increasing public awareness. � 2023