People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Sousa, Nuno
in Cooperation with on an Cooperation-Score of 37%
Topics
- city traffic
- bicycling
- modal split
- variable
- nonmotorised traffic
- city
- layout
- planning
- infrastructure
- maintenance
- electric vehicle
- assessment
- sustainable transportation
- geography
- combustion
- internal combustion engine
- contaminant
- estimate
- monitoring
- chemistry
- ion
- automotive engineering
- lithium
- manganese
- life cycle analysis
- gas
- gasoline
- plant
- environmental impact
- environmental science
- renewable energy source
- market
- law
- energy consumption
- prototype
- variance
- electric power generation
- sport
- re-procurement
- alternate fuel
- greenhouse gas
- graphite
- silicon
- sport utility vehicle
- anode
- cathode
- autonomous vehicle
- dawn
- bicycle
- modeling
- modernization
- industry
- driver
- driving behavior
- computer science
- safety
- automobile ownership
- ownership
- structural engineering
- costs
- traffic behavior
- travel
- traffic planning
- parking
- city planning
- state of the art
- town
- traffic engineering
- crash analysis
- insurance rate
- impact study
- case study
- e-bike
- traffic congestion
- automobile
- travel mode
- traffic mode
- transportation engineering
- implementation
- map
- design
- information technology
- terrain
- connectivity
- information system
- show 55 more
Publications (14/14 displayed)
- 2023The Potential Impact of Cycling on Urban Transport Energy and Modal Share: A GIS-Based Methodologycitations
- 2023Do We Live Where It Is Pleasant? Correlates of Perceived Pleasantness with Socioeconomic Variables
- 2023Filling in the Spaces: Compactifying Cities towards Accessibility and Active Transport
- 2022Benchmarking City Layouts—A Methodological Approach and an Accessibility Comparison between a Real City and the Garden Citycitations
- 2022A multicriteria methodology for maintenance planning of cycling infrastructurecitations
- 2019Quest for Sustainability: Life-Cycle Emissions Assessment of Electric Vehicles Considering Newer Li-Ion Batteriescitations
- 2019Conceção de Planos de Evacuação Para Cidade
- 2018Dawn of autonomous vehicles: Review and challenges aheadcitations
- 2018Bike-Index: a cycling accessibility index using GIS environment programming
- 2018Large scale railway renewal planning with a multiobjective modeling approach
- 2017Dawn of autonomous vehicles: review and challenges aheadcitations
- 2017Pedelec on a hilly city: a case study in coimbra
- 2014Design of bicycling suitability maps for hilly citiescitations
- 2013Building a bicycle suitability map for coimbra
Places of action
article
Quest for Sustainability: Life-Cycle Emissions Assessment of Electric Vehicles Considering Newer Li-Ion Batteries
Abstract
The number of battery electric vehicle models available in the market has been increasing, as well as their battery capacity, and these trends are likely to continue in the future as sustainable transportation goals rise in importance, supported by advances in battery chemistry and technology. Given the rapid pace of these advances, the impact of new chemistries, e.g., lithium-manganese rich cathode materials and silicon/graphite anodes, has not yet been thoroughly considered in the literature. This research estimates life cycle greenhouse gas and other air pollutants emissions of battery electric vehicles with different battery chemistries, including the above advances. The analysis methodology, which uses the greenhouse gases, regulated emissions, and energy use in transportation (GREET) life-cycle assessment model, considers 8 battery types, 13 electricity generation mixes with different predominant primary energy sources, and 4 vehicle segments (small, medium, large, and sport utility vehicles), represented by prototype vehicles, with both battery replacement and non-replacement during the life cycle. Outputs are expressed as emissions ratios to the equivalent petrol internal combustion engine vehicle and two-way analysis of variance is used to test results for statistical significance. Results show that newer Li-ion battery technology can yield significant improvements over older battery chemistries, which can be as high as 60% emissions reduction, depending on pollutant type and electricity generation mix. This research was funded by Fundação para a Ciência e a Tecnologia, grant number UID/Multi/00308/2019, INESC-Coimbra R&D project “Alternative Fuel Vehicles”. info:eu-repo/semantics/publishedVersion
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