Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning
Transportation and power generation have historically relied upon Internal Combustion Engines (ICEs). However, because of environmental impact and inefficiency, considerable research has been devoted to improving their performance. Alternative fuels are necessary because of environmental concerns an...
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Elsevier Ltd
2025
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| author | Soudagar M.E.M. Shelare S. Marghade D. Belkhode P. Nur-E-Alam M. Kiong T.S. Ramesh S. Rajabi A. Venu H. Yunus Khan T.M. Mujtaba M.A. Shahapurkar K. Kalam M.A. Fattah I.M.R. |
| author2 | 57194384501 |
| author_facet | 57194384501 Soudagar M.E.M. Shelare S. Marghade D. Belkhode P. Nur-E-Alam M. Kiong T.S. Ramesh S. Rajabi A. Venu H. Yunus Khan T.M. Mujtaba M.A. Shahapurkar K. Kalam M.A. Fattah I.M.R. |
| author_sort | Soudagar M.E.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Transportation and power generation have historically relied upon Internal Combustion Engines (ICEs). However, because of environmental impact and inefficiency, considerable research has been devoted to improving their performance. Alternative fuels are necessary because of environmental concerns and the depletion of non-renewable fuel stocks. Biodiesel has the potential to reduce emissions and improve sustainability when compared to diesel fuel. Several researchers have examined using nanofluids to increase biodiesel performance in internal combustion engines. Due to their thermal and physical properties, nanoparticles in a host fluid improve engine combustion and efficiency. This comprehensive review examines three key areas for improving ICE efficiency: biodiesel as an alternative fuel, application of nanofluids, and artificial intelligence (AI)/machine learning (ML) integration. The integration of AI/ML in nanoparticle-infused biodiesel offers exciting possibilities for optimizing production processes, enhancing fuel properties, and improving engine performance. This article first discusses, the benefits of biodiesel concerning the environment and various difficulties associated with its usage. The review then explores the effects and characteristics of nanofluids in IC engines, aiming to know their impact on engine emissions and performance. After that, this review discusses the utilization of AI/ML techniques in enhancing the biodiesel-nanofluid combustion process. This article sheds light on the ongoing efforts to make ICE technology more environmentally friendly and energy-efficient by examining current research and emerging patterns in these fields. Finally, the review presents the challenges and future perspectives of the field, paving the way for future research and improvement. ? 2024 The Authors |
| format | Review |
| id | my.uniten.dspace-36675 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | my.uniten.dspace-366752025-03-03T15:43:50Z Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning Soudagar M.E.M. Shelare S. Marghade D. Belkhode P. Nur-E-Alam M. Kiong T.S. Ramesh S. Rajabi A. Venu H. Yunus Khan T.M. Mujtaba M.A. Shahapurkar K. Kalam M.A. Fattah I.M.R. 57194384501 57195928420 36135810000 24829060200 57197752581 57216824752 41061958200 56622591700 57189525542 57455192700 59130436900 57196344622 55103352400 58776756000 Alternative fuels Biodiesel Combustion Energy efficiency Environmental impact Integrated circuits Internal combustion engines Machine learning Nanofluidics Sustainable development Timing circuits Engine efficiency Engine performance Environmental sustainability Green transportations I.C. engine IC engines Machine-learning Nanofluids Performance Sustainable fuels Nanoparticles Transportation and power generation have historically relied upon Internal Combustion Engines (ICEs). However, because of environmental impact and inefficiency, considerable research has been devoted to improving their performance. Alternative fuels are necessary because of environmental concerns and the depletion of non-renewable fuel stocks. Biodiesel has the potential to reduce emissions and improve sustainability when compared to diesel fuel. Several researchers have examined using nanofluids to increase biodiesel performance in internal combustion engines. Due to their thermal and physical properties, nanoparticles in a host fluid improve engine combustion and efficiency. This comprehensive review examines three key areas for improving ICE efficiency: biodiesel as an alternative fuel, application of nanofluids, and artificial intelligence (AI)/machine learning (ML) integration. The integration of AI/ML in nanoparticle-infused biodiesel offers exciting possibilities for optimizing production processes, enhancing fuel properties, and improving engine performance. This article first discusses, the benefits of biodiesel concerning the environment and various difficulties associated with its usage. The review then explores the effects and characteristics of nanofluids in IC engines, aiming to know their impact on engine emissions and performance. After that, this review discusses the utilization of AI/ML techniques in enhancing the biodiesel-nanofluid combustion process. This article sheds light on the ongoing efforts to make ICE technology more environmentally friendly and energy-efficient by examining current research and emerging patterns in these fields. Finally, the review presents the challenges and future perspectives of the field, paving the way for future research and improvement. ? 2024 The Authors Final 2025-03-03T07:43:50Z 2025-03-03T07:43:50Z 2024 Review 10.1016/j.enconman.2024.118337 2-s2.0-85189493523 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189493523&doi=10.1016%2fj.enconman.2024.118337&partnerID=40&md5=25aeb707c2d18944c20ddfc27c37ddd7 https://irepository.uniten.edu.my/handle/123456789/36675 307 118337 All Open Access; Hybrid Gold Open Access Elsevier Ltd Scopus |
| spellingShingle | Alternative fuels Biodiesel Combustion Energy efficiency Environmental impact Integrated circuits Internal combustion engines Machine learning Nanofluidics Sustainable development Timing circuits Engine efficiency Engine performance Environmental sustainability Green transportations I.C. engine IC engines Machine-learning Nanofluids Performance Sustainable fuels Nanoparticles Soudagar M.E.M. Shelare S. Marghade D. Belkhode P. Nur-E-Alam M. Kiong T.S. Ramesh S. Rajabi A. Venu H. Yunus Khan T.M. Mujtaba M.A. Shahapurkar K. Kalam M.A. Fattah I.M.R. Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| title | Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| title_full | Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| title_fullStr | Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| title_full_unstemmed | Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| title_short | Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| title_sort | optimizing ic engine efficiency: a comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning |
| topic | Alternative fuels Biodiesel Combustion Energy efficiency Environmental impact Integrated circuits Internal combustion engines Machine learning Nanofluidics Sustainable development Timing circuits Engine efficiency Engine performance Environmental sustainability Green transportations I.C. engine IC engines Machine-learning Nanofluids Performance Sustainable fuels Nanoparticles |
| url_provider | http://dspace.uniten.edu.my/ |