2017
DOI: 10.1021/acs.est.6b04746
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How Well Do We Know the Future of CO2 Emissions? Projecting Fleet Emissions from Light Duty Vehicle Technology Drivers

Abstract: While the UK has committed to reduce CO emissions to 80% of 1990 levels by 2050, transport accounts for nearly a fourth of all emissions and the degree to which decarbonization can occur is highly uncertain. We present a new methodology using vehicle and powertrain parameters within a Bayesian framework to determine the impact of engineering vehicle improvements on fuel consumption and CO emissions. Our results show how design changes in vehicle parameters (e.g., mass, engine size, and compression ratio) resul… Show more

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Cited by 11 publications
(5 citation statements)
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“…Estimates of vehicle scrappage rates are generally not publicly available and require creating a stock model to estimate the age distribution of vehicles on the road. Vehicle stock models have been used in past work (Brand, 2010;Martin et al, 2017;Serrenho et al, 2017) and generally require knowledge of the age of vehicles in a given base year (DfT, 2019c). This information can be used with new vehicle registrations data (DfT, 2019d) to determine curves which describe the probability of scrappage as a function of vehicle age.…”
Section: Modelling Fleet Turnovermentioning
confidence: 99%
“…Estimates of vehicle scrappage rates are generally not publicly available and require creating a stock model to estimate the age distribution of vehicles on the road. Vehicle stock models have been used in past work (Brand, 2010;Martin et al, 2017;Serrenho et al, 2017) and generally require knowledge of the age of vehicles in a given base year (DfT, 2019c). This information can be used with new vehicle registrations data (DfT, 2019d) to determine curves which describe the probability of scrappage as a function of vehicle age.…”
Section: Modelling Fleet Turnovermentioning
confidence: 99%
“…In general, estimates of the steel scrap output from the vehicle stock is not publicly available and requires creating a stock model to estimate the age distribution of vehicles on the road. Vehicle stock models have been used in past work (Brand, 2010; Martin, Bishop, & Boies, 2017; Serrenho, Norman, & Allwood, 2017) and generally require knowledge of the age of scrapped vehicles in a given base year. In combination with historic new vehicle registration data, the age of the vehicles at EOL was used to compute the lifetime probability distribution for UK vehicles solely from bottom‐up data.…”
Section: Methodsmentioning
confidence: 99%
“…Customers are still demanding heavy and high-emitting types of vehicles such as Sports Utility Vehicles (SUVs) even though legislation requires a reduction in vehicle emissions (Bampatsou & Zervas, 2011). As customers order vehicles with more optional features, the optional vehicle features impact a vehicles' mass, power consumption and CO 2 emissions (Martin et al, 2017). The manufacturer should acknowledge how customer demand for various vehicle types and individual features can be met whilst responding to emission legislation.…”
Section: Decision Criteria II Customer Demandmentioning
confidence: 99%