Fei Guo

Fei Guo uses a bottom-up mathematical model to project energy consumption in residential buildings in China, and to simulate intervention effects of incentive policies.

Promoting energy savings in China’s residential building sector is crucial for mitigating the country’s CO2 emissions as well as reducing local air pollution. The residential sector accounts for around a quarter of the final energy used in China. With rapid urbanization and improving standards of living in the country, China’s residential energy intensity still keeps increasing. Designing effective energy-saving incentives for buildings is urgently required in China.   

In my research, I develop a bottom-up logit model to project the residential building energy consumption in China, and the model can be also used to simulate the intervention effects of various incentive policies (e.g., energy pricing, building codes, efficiency standards for appliances, subsidies). This model mainly includes two key components, stock dynamics of building and household energy-consuming equipment, and a consumer choice model.

The results show that although there is a significant achievable potential in China’s residential building sector, the incentive policies currently in place are not enough to achieve that full potential. In other words, more innovative and market-based incentive polices for buildings should be developed in China.

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Funiding: IIASA Postdoctoral Program

Nationality: Chinese

Program: Energy & Air Quality and Greenhouse Gases Programs
Dates: March 2016 – February 2018

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Last edited: 19 January 2017


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