Fueling clean transport to 2025+: update of JEC Well-To-Wheel (WTW) methodology for comparing alternative fuels and vehicle options to 2025+

Lahaussois, Dorothee; Hamje, Heather; Hanarp, Per; Laura, Lonza; Yugo, Marta; Heiko, Maas

doi:10.1007/978-3-658-21015-1_25

Cited by 2 publications

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“…Quite a lot of researches on the energy consumption and carbon emission of road traffic focus on the operation period, namely the tank-to wheel (TTW) analysis, considering thermal efficiency and emission composition. Additionally, the well-to-tank (WTT) and well-to-wheel (WTW) methods were also proposed, which simultaneously take the carbon emitted during the energy generation period into account (Lahaussois et al, 2018). At the macro level, Li et al (2021) forecasted the traffic carbon emissions considering the economic development, transportation capacity, energy consumption and urban population.…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid estimation of carbon footprints for urban commuting transportation via path reconstruction

Zhang

Ai²,

et al. 2023

Environment and Planning B: Urban Analytics and City Science

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The transportation sector is a major source of carbon emissions, and it is of great significance to study the estimation method of carbon emissions from urban commuting traffic for energy conservation and emission reduction. In view of the difficulty of collecting detailed trip trajectory data, this paper first reconstructs the trip paths via an improved modal choice model and a modified path planning model based on the O-D trip matrix, taking seven single traffic modals and two combined modals into account. In order to estimate the carbon footprints with theoretical accuracy, the bottom-up method is adopted considering the trip modal, vehicle type, power source, vehicle occupancy, operation characteristics and traffic conditions. Meanwhile, faced with the converted carbon emissions from electric vehicles, factors like charging efficiency, vehicular load, regional power structure and transmission loss are further considered in the estimation function. A case study of Changzhou City has been performed to verify the feasibility of the proposed models, where the volume distribution of commuting trips is predicted upon a modified network traffic assignment by TransCAD, and the spatial distribution of carbon emission intensity has further expanded to the adjacent areas via ArcMap analysis tools. The total carbon emission and the average link emission intensity of daily commuting in the study area are about 14.7 × 105 kg/day and 870 kg/km respectively. The discussion results indicate that the CO2 emission of fuel-driven vehicles accounts for over 86%, and the equivalent carbon emission of electric vehicles accounts for about 14% under given modal choices. The correlations of carbon emissions to road levels and zone attributes get further revealed and discussed based on the estimation results.

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Section: Literature Reviewmentioning

confidence: 99%

A hybrid estimation of carbon footprints for urban commuting transportation via path reconstruction

Zhang

Ai²,

et al. 2023

Environment and Planning B: Urban Analytics and City Science

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Sustainability Assessment Methods for the Transport Sector Considering the Life Cycle Concept—A Review

Burchart,

Przytuła

2024

Sustainability

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This paper presents a summary and review of life cycle sustainability assessment (LCSA) methods for the transport sector. The paper provides a comprehensive overview of articles that employ a variety of methods for assessing sustainable development in the transport sector, taking into account the economic, social, and environmental dimensions. In the sustainability assessment of transport, three methods were evaluated: life cycle assessment (LCA), life cycle cost analysis (LCC), and social life cycle assessment (SLCA). An overview of sustainability assessment methods in transport and a review of the indicators used in the life cycle sustainability assessment was conducted. It was found that the selection of indicators within the LCSA for assessing various aspects of sustainable development is dependent on various geographic and policy contexts. An overview of the application of multi-criteria decision analysis (MCDA) methods to assess LCSA in the transport sector was performed. MCDA methods are used to support decision-making regarding the selection of the most sustainable transport options and allow for the simultaneous consideration of multiple criteria, enabling a more sustainable assessment of different transport options. MCDA methods help to rank alternative transportation fuels and help decision-makers consider indicators encompassing economic, environmental and social aspects.

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Fueling clean transport to 2025+: update of JEC Well-To-Wheel (WTW) methodology for comparing alternative fuels and vehicle options to 2025+

Cited by 2 publications

References 0 publications

A hybrid estimation of carbon footprints for urban commuting transportation via path reconstruction

A hybrid estimation of carbon footprints for urban commuting transportation via path reconstruction

Sustainability Assessment Methods for the Transport Sector Considering the Life Cycle Concept—A Review

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