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...