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Transportation Energy and Emissions Modeling

A Special Issue of Energies (ISSN 1996-1073) belonging to the section "B3: Carbon Emission and Utilization".

Deadline for manuscript submissions: 25 January 2027 | Viewed by 2301

Editors


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Guest Editor
Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung City 824005, Taiwan
Interests: carbon emission; natural resource efficiency; sustainable resource; statistical analysis

E-Mail Website
Guest Editor
Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung City 80778, Taiwan
Interests: modeling and simulation; engineering and management; decision analysis; quality management

Special Issue Information

Dear Colleagues,

Energy production and transportation play an irreplaceable role in today's industrial and energy sectors. They are not only crucial to the operation of the entire industry but also the core driving force for sustainable development in all sectors. This report focuses on the application and impact of various energy forms in the production and transportation processes and provides an in-depth analysis of their key role in reducing carbon emissions and promoting sustainable development. It emphasizes their indispensability and the significant responsibility they bear in modern industrial and energy systems. Energy is the foundation of modern society, encompassing both traditional fossil fuels and renewable energy. Transportation systems are a key area of energy consumption and have a profound impact on carbon emissions. Carbon emissions are a major driver of global climate change, and effective carbon reduction measures are urgently needed to control them. Sustainable development emphasizes meeting current needs while ensuring that resources and the environment are protected for future generations. Promoting green energy and low-carbon transportation is a key strategic pillar for achieving sustainable development.

The relationship between energy, transportation systems, and carbon emissions is inextricably linked, and their impact on global climate change cannot be ignored. Especially in the current global climate crisis and increasingly scarce resources, transitioning to green energy and low-carbon transportation is crucial to addressing environmental challenges and promoting sustainable development.

Against this backdrop, traditional fossil fuels (such as oil, coal, and natural gas) still dominate the energy mix. In particular, the widespread use of fuel-powered vehicles in the transportation sector has resulted in significant carbon emissions. However, technological advances are leading to the emergence and widespread adoption of low-carbon transportation options, such as electric and hydrogen vehicles. These represent significant breakthroughs in reducing carbon emissions and achieving low-carbon transportation.

Renewable energy sources, such as solar, wind, and hydropower, have become a major alternative to traditional fossil fuels. In this transition in energy production and consumption, improving the efficiency of these energy sources, reducing costs, and enhancing energy storage and stability are among the current technological challenges.

The focus on sustainable development aligns closely with current global priorities, particularly the United Nations Sustainable Development Goals (SDGs). Reducing carbon emissions, improving energy efficiency, and promoting the widespread use of renewable energy are all crucial areas within these goals.

How can we promote green energy and low-carbon transportation at the individual and corporate levels?

Main topics include the following:

  • Transportation Carbon Emissions;
  • Electrification of Vehicles;
  • Green Transportation;
  • Negative Emissions;
  • Scope 1, 2, 3 Emissions;
  • Sustainable Energy;
  • Renewable Energy;
  • Energy Storage;
  • Energy Transition;
  • Energy Efficiency;
  • Energy Security;
  • Energy Life Cycle Assessment;
  • Energy Policy;
  • Energy Planning;
  • Smart City.

Prof. Dr. Minghung Shu
Prof. Dr. Jui-Chan Huang
Guest Editors

Manuscript Submission Information

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Keywords

  • green transportation
  • emissions
  • decarbonization
  • smart grid
  • efficiency
  • sustainability
  • renewable energy

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Published Papers (1 paper)

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Research

14 pages, 2760 KB  
Article
Quantification of CO2 Emission from Liquefied Natural Gas Truck Under Varied Traffic Condition via Portable Measurement Emission System
by Yufei Shi, Hongmei Zhao, Bowen Li, Liangying Luo and Hongdi He
Energies 2025, 18(22), 6002; https://doi.org/10.3390/en18226002 - 16 Nov 2025
Viewed by 856
Abstract
Liquefied natural gas (LNG) container trucks are regarded as clean energy vehicles with the potential to reduce air pollution. However, their CO2 emissions remain relatively high and are not yet well understood. In this study, the actual CO2 emissions of LNG [...] Read more.
Liquefied natural gas (LNG) container trucks are regarded as clean energy vehicles with the potential to reduce air pollution. However, their CO2 emissions remain relatively high and are not yet well understood. In this study, the actual CO2 emissions of LNG container trucks in Shanghai were measured using a portable emissions measurement system (PEMS). This study quantitatively analyzed the relationship between traffic congestion levels and CO2 emissions on elevated roadways, providing new insights into the impact of urban traffic conditions. In addition, distinct emission patterns were revealed under different uphill, downhill, and level road conditions, highlighting the substantial effects of roadway geometry on vehicle carbon emissions. Based on these findings, engine-related factors were identified as the dominant contributors, explaining 74% of the emission variance, while road slope analysis showed that uphill driving increased emissions by 13.41% compared with flat roads, whereas downhill driving reduced them by 76.22%. Finally, an efficient carbon emission prediction model for LNG container trucks was developed using machine learning methods. This study enriches the understanding of carbon emissions from LNG container trucks and provides theoretical support for their future applications in sustainable freight transportation. Full article
(This article belongs to the Special Issue Transportation Energy and Emissions Modeling)
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