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天文系 Colloquium: Probing Planet Formation with the Most Extreme Cases
清华大学材料科学与工程研究院《材料科学论坛》:Magnetocaloric effect: from the...
Data-driven Discovery of Optimization-based Decision-making Models
Toward the Efficient Operation of an Electrified Chemical Industry
报告题目:
Transportation Energy Scenarios for China: Emphasis on Technological Advancements and Modal Evolution within a CGE Framework
 报告人:
张树伟
公共管理学院  博士生
报告时间:
2007-05-17 09:00
报告地点:
能科楼A209
主办单位:
清华大学能源经济环境研究院
  简介:

Transport activities are the dominant consumer of “scarce” petroleum
products. And the critical technological advancements in vehicle and
alternative fuels hopefully bring significant (albeit uncertain) shift in
the dynamics of the transport system and resulting energy and emission,
which is meaningful especially for China with high growth rate and in
transition. This presentation will outline the author’s dissertation on
transport modelling and policy assessment and the discussion will mainly
focus (1) role of CGE and technology model; (2) modal split model based on
transport dynamic; (3) vehicle technology database construction; (4)scenarios and results.

 

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