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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:
Forecasting China's Energy Demand and Carbon Dioxide Emissions
 报告人:
Thomas Drennen
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:

This work is based on a high level model that predicts Chinese energy use by
sector and fuel type and corresponding oil import requirements and carbon
emissions. The author will discuss many of the basic assumptions in the
model and to gather feedback with an overall goal of improving the model and
its ability to predict Chinese energy requirements. The results of this
model will be compared to the predictions of the International Energy
Agency. Additional scenarios will be generated with input from those in
attendance. The model also includes an emission permit trading module which
forecasts potential costs or revenues for regions engaged in allowance
trading.

 

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