A multi-model assessment of energy and emissions for India's transportation sector through 2050

被引:62
|
作者
Paladugula, Anantha Lakshmi [1 ]
Kholod, Nazar [2 ]
Chaturvedi, Vaibhav [3 ]
Ghosh, Probal Pratap [4 ]
Pal, Sarbojit [5 ,6 ]
Clarke, Leon [2 ]
Evans, Meredydd [2 ]
Kyle, Page [2 ]
Koti, Poonam Nagar [3 ]
Parikh, Kirit [4 ]
Qamar, Sharif [5 ]
Wilson, Sangeetha Ann [5 ,7 ]
机构
[1] Ctr Study Sci Technol & Policy, Bangalore, Karnataka, India
[2] Pacific Northwest Natl Lab, Joint Global Change Res Inst, Richland, WA USA
[3] Council Energy Environm & Water, New Delhi, India
[4] Integrated Res & Act Dev, New Delhi, India
[5] Energy & Resources Inst, New Delhi, India
[6] Clean Energy Ministerial, Paris, France
[7] Nagoya Univ, Nagoya, Aichi, Japan
基金
美国能源部;
关键词
India; Transport; Energy consumption; Emissions; Inter-model comparison; MODELS; CHINA;
D O I
10.1016/j.enpol.2018.01.037
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper focuses on comparing the framework and projections of energy consumption and emissions from India's transportation sector up to 2050. To understand the role of road transport in energy demand and emissions, five modeling teams developed baseline projections for India's transportation sector as part of inter model comparison exercise under the Sustainable Growth Working Group (SGWG) of the US-India Energy Dialog. Based on modeling results, we explore the developments in India's passenger and freight road transport, including changes in the modal shift and the resulting changes in energy consumption, carbon dioxide (CO2) and particulate matter (PM2.5) emissions. We find significant differences in the base-year data and parameters for future projections, namely energy consumption by transport in general and by mode, service demand for passenger and freight transport. Variation in modeling assumptions across modeling teams reflects the difference in opinion among the different modeling teams which in turn reflects the underlying uncertainty with respect to key assumptions. We have identified several important data gaps in our knowledge about the development of the transportation sector in India. The results of this inter-model study can be used by Indian policy makers to set quantified targets in emission reductions from the transportation sector.
引用
收藏
页码:10 / 18
页数:9
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