Abstract
The authors developed long-term scenarios for reducing CO2 emissions by using CEAMAT. CEAMAT is an energy analysis model for considering long-term effects of future automotive technologies in the Japanese automotive sector. At first, future automotive data and demand of the automotive sector of the IEEJ2050 model were entered into CEAMAT, then open literature was reviewed, and interviews were conducted with relevant organizations. Secondly, the authors developed long-term scenarios for the Japanese automotive sector using CEAMAT. According to these scenarios, by the year 2050 the share of next-generation vehicles in use will increase by 43 % for passenger cars and 48 % for medium-sized and large trucks, and CO2 emissions will be reduced by 47 % compared to the year 2005. Finally, calculations were made of the potential for integrated approaches of eco-driving and improving traffic flow to reduce CO2 emissions. CEAMAT indicated that the integrated approaches could help reduce CO2 emissions by 55 % compared to the year 2005.
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Kanari, S. (2013). Cost-Effectiveness Analysis of CO2 Reduction with Future Automobile Technologies in the Japanese Automotive Sector. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33741-3_18
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DOI: https://doi.org/10.1007/978-3-642-33741-3_18
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