The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems
The global transport sector, a significant contributor to energy consumption and greenhouse gas (GHG) emissions, requires innovative solutions to meet sustainability goals. Artificial intelligence (AI) has emerged as a transformative technology, offering opportunities to enhance energy efficiency an...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/17/24/6271 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846104856874450944 |
|---|---|
| author | Tymoteusz Miller Irmina Durlik Ewelina Kostecka Adrianna Łobodzińska Marcin Matuszak |
| author_facet | Tymoteusz Miller Irmina Durlik Ewelina Kostecka Adrianna Łobodzińska Marcin Matuszak |
| author_sort | Tymoteusz Miller |
| collection | DOAJ |
| description | The global transport sector, a significant contributor to energy consumption and greenhouse gas (GHG) emissions, requires innovative solutions to meet sustainability goals. Artificial intelligence (AI) has emerged as a transformative technology, offering opportunities to enhance energy efficiency and reduce GHG emissions in transport systems. This study provides a comprehensive review of AI’s role in optimizing vehicle energy management, traffic flow, and alternative fuel technologies, such as hydrogen fuel cells and biofuels. It explores AI’s potential to drive advancements in electric and autonomous vehicles, shared mobility, and smart transportation systems. The economic analysis demonstrates the viability of AI-enhanced transport, considering Total Cost of Ownership (TCO) and cost-benefit outcomes. However, challenges such as data quality, computational demands, system integration, and ethical concerns must be addressed to fully harness AI’s potential. The study also highlights the policy implications of AI adoption, underscoring the need for supportive regulatory frameworks and energy policies that promote innovation while ensuring safety and fairness. |
| format | Article |
| id | doaj-art-7b39cbcea1964662abe29e37f818a085 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-7b39cbcea1964662abe29e37f818a0852024-12-27T14:23:18ZengMDPI AGEnergies1996-10732024-12-011724627110.3390/en17246271The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport SystemsTymoteusz Miller0Irmina Durlik1Ewelina Kostecka2Adrianna Łobodzińska3Marcin Matuszak4Institute of Marine and Environmental Sciences, University of Szczecin, Wąska 13, 71-415 Szczecin, PolandFaculty of Navigation, Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, PolandFaculty of Mechatronics and Electrical Engineering, Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, PolandInstitute of Biology, University of Szczecin, 71-413 Szczecin, PolandFaculty of Marine Engineering, Maritime University of Szczecin, Willowa 2, 71-650 Szczecin, PolandThe global transport sector, a significant contributor to energy consumption and greenhouse gas (GHG) emissions, requires innovative solutions to meet sustainability goals. Artificial intelligence (AI) has emerged as a transformative technology, offering opportunities to enhance energy efficiency and reduce GHG emissions in transport systems. This study provides a comprehensive review of AI’s role in optimizing vehicle energy management, traffic flow, and alternative fuel technologies, such as hydrogen fuel cells and biofuels. It explores AI’s potential to drive advancements in electric and autonomous vehicles, shared mobility, and smart transportation systems. The economic analysis demonstrates the viability of AI-enhanced transport, considering Total Cost of Ownership (TCO) and cost-benefit outcomes. However, challenges such as data quality, computational demands, system integration, and ethical concerns must be addressed to fully harness AI’s potential. The study also highlights the policy implications of AI adoption, underscoring the need for supportive regulatory frameworks and energy policies that promote innovation while ensuring safety and fairness.https://www.mdpi.com/1996-1073/17/24/6271artificial intelligenceenergy efficiencygreenhouse gas emissionstransport systemsautonomous vehicleshydrogen fuel cells |
| spellingShingle | Tymoteusz Miller Irmina Durlik Ewelina Kostecka Adrianna Łobodzińska Marcin Matuszak The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems Energies artificial intelligence energy efficiency greenhouse gas emissions transport systems autonomous vehicles hydrogen fuel cells |
| title | The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems |
| title_full | The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems |
| title_fullStr | The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems |
| title_full_unstemmed | The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems |
| title_short | The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems |
| title_sort | emerging role of artificial intelligence in enhancing energy efficiency and reducing ghg emissions in transport systems |
| topic | artificial intelligence energy efficiency greenhouse gas emissions transport systems autonomous vehicles hydrogen fuel cells |
| url | https://www.mdpi.com/1996-1073/17/24/6271 |
| work_keys_str_mv | AT tymoteuszmiller theemergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT irminadurlik theemergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT ewelinakostecka theemergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT adriannałobodzinska theemergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT marcinmatuszak theemergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT tymoteuszmiller emergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT irminadurlik emergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT ewelinakostecka emergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT adriannałobodzinska emergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems AT marcinmatuszak emergingroleofartificialintelligenceinenhancingenergyefficiencyandreducingghgemissionsintransportsystems |