Title: Estimation of CO2 emissions from heavy-duty vehicles in Korea and potential for reduction based on scenario analysis
Authors: Jigu Seo, Hyungjun Kim, Sungwook Park
Journal: Science of the Total Environment, Volume 636, Pages 1192-1201
Abstract: Estimations of CO2 emissions and the potential to reduce heavy-duty vehicles in Korea under different reduction scenarios are presented in this paper. Technologically achievable CO2 reduction rates are applied to four scenarios: the business as usual (BAU) scenario, mild scenario, normal scenario, and aggressive scenario. In estimating CO2 emissions, a simulation model based on longitudinal vehicle dynamics was used in cooperation with average vehicle mileage traveled and the number of registered Korean heavy-duty vehicles. In the BAU scenario, which is the reference scenario, 30.82 million tons of CO2 will be emitted in 2030, and CO2 emissions will be reduced by 2.1%, 4%, and 5%, respectively, in mild, normal, and aggressive scenarios. In 2040, the reduction effects of these scenarios will be 5.7%, 10.9%, and 15.8%, respectively. These results indicate the range of available potential reduction of CO2 by technical improvements or the CO2 emission regulation of heavy-duty vehicles in Korea.
Keywords: Heavy-duty vehicle, CO2 emission, Vehicle simulation
Title: Estimation of CO2 emissions from heavy-duty vehicles in Korea and potential for reduction based on scenario analysis
Authors: Jigu Seo, Hyungjun Kim, Sungwook Park
Journal: Science of the Total Environment, Volume 636, Pages 1192-1201
Abstract: Estimations of CO2 emissions and the potential to reduce heavy-duty vehicles in Korea under different reduction scenarios are presented in this paper. Technologically achievable CO2 reduction rates are applied to four scenarios: the business as usual (BAU) scenario, mild scenario, normal scenario, and aggressive scenario. In estimating CO2 emissions, a simulation model based on longitudinal vehicle dynamics was used in cooperation with average vehicle mileage traveled and the number of registered Korean heavy-duty vehicles. In the BAU scenario, which is the reference scenario, 30.82 million tons of CO2 will be emitted in 2030, and CO2 emissions will be reduced by 2.1%, 4%, and 5%, respectively, in mild, normal, and aggressive scenarios. In 2040, the reduction effects of these scenarios will be 5.7%, 10.9%, and 15.8%, respectively. These results indicate the range of available potential reduction of CO2 by technical improvements or the CO2 emission regulation of heavy-duty vehicles in Korea.
Keywords: Heavy-duty vehicle, CO2 emission, Vehicle simulation