Staff View: 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

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

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...

Full description

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.uniten.dspace-33963
record_format	dspace
spelling	my.uniten.dspace-339632024-10-14T11:17:32Z 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 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. 57195928420 24829060200 57204728700 57218476565 57196344622 57194384501 57205548894 57455192700 55103352400 56962771300 56110097100 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 Sustainable development Alternate fuels Artificial intelligence learning Biodiesel production Diesel Fuel production Global energy demand IoT and machine learning Machine learning technology Machine-learning Nano additives alternative energy artificial intelligence biofuel demand-side management fossil fuel Internet machine learning sustainable development Biodiesel 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 Final 2024-10-14T03:17:31Z 2024-10-14T03:17:31Z 2023 Article 10.1016/j.energy.2023.128874 2-s2.0-85169581068 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169581068&doi=10.1016%2fj.energy.2023.128874&partnerID=40&md5=98c7523bf63ac21557ad9b3d403da649 https://irepository.uniten.edu.my/handle/123456789/33963 282 128874 Elsevier Ltd Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	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 Sustainable development Alternate fuels Artificial intelligence learning Biodiesel production Diesel Fuel production Global energy demand IoT and machine learning Machine learning technology Machine-learning Nano additives alternative energy artificial intelligence biofuel demand-side management fossil fuel Internet machine learning sustainable development Biodiesel
spellingShingle	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 Sustainable development Alternate fuels Artificial intelligence learning Biodiesel production Diesel Fuel production Global energy demand IoT and machine learning Machine learning technology Machine-learning Nano additives alternative energy artificial intelligence biofuel demand-side management fossil fuel Internet machine learning sustainable development Biodiesel 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. 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
description	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
author2	57195928420
author_facet	57195928420 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.
format	Article
author	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.
author_sort	Shelare S.D.
title	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
title_short	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
title_full	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
title_fullStr	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
title_full_unstemmed	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
title_sort	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
publisher	Elsevier Ltd
publishDate	2024
_version_	1814061096837840896
score	13.222552

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

Similar Items