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Urban Form Energy Use and Emissions in China: Preliminary Findings and Model Proof of Concept. Lawrence Berkeley National Laboratory, 2010..
"A Tale of Five Cities: The China Residential Energy Consumption Survey." ACEEE Summary Study. Pacific Grove, CA: American Council for an Energy-Efficient Economy, 2004..
China Energy and Emissions Paths to 2030 (2nd Edition). . Lawrence Berkeley National Laboratory, 2012..
"Urban RAM: Assessing the Energy Impact of Having People in Cities." . ACEEE Summer Study on Energy Efficiency in Buildings 2012..
Comparison of Test Procedures and Energy Efficiency Criteria in Selected International Standards &Labeling Programs for Clothes Washers, Water Dispensers, Vending Machines and CFLs. . Lawrence Berkeley National Laboratory, 2010..
"A Review of Emerging Energy-efficiency and CO2 Emission-reduction Technologies for Cement and Concrete Production." Industrial Energy Technology Conference 2012..
"Alternative Emerging Ironmaking Technologies for Energy-efficiency and Carbon Dioxide Emissions Reduction: A Technical Review." Renewable and Sustainable Energy Reviews 33 (2014) 645–658..
Air Pollutant Emissions Projection for the Cement and Steel Industry in China and the Impact of Emissions Control Technologies. 2017. LBNL-1007268..
Quantifying the Co-benefits of Energy-Efficiency Programs: A Case Study of the Cement Industry in Shandong Province, China. Lawrence Berkeley National Laboratory, 2012..
"Emerging Technologies for an Energy-Efficient, Water- Efficient, and Low- Pollution Textile Industry: A Technical Review." International Conference on Clean Energy 2014..
Emerging Energy-efficiency and Carbon Dioxide Emissions-reduction Technologies for the Iron and Steel Industry. Berkeley: Lawrence Berkeley National Laboratory, 2013..
Analysis of the Past and Future Trends of Energy Use in Key Medium- and Large-Sized Chinese Steel Enterprises, 2000-2030. Lawrence Berkeley National Laboratory, 2013. LBNL-6380E..
"Including the Co-benefits of Energy-Efficiency Programs and Projects in Cost-Benefit Analysis - A Case Study for the Cement Industry." International Conference on Clean Energy 2014..
A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S. Lawrence Berkeley National Laboratory; Iron & Steel Research Institute, 2011. LBNL-4836E..
Retrospective and Prospective Decomposition Analysis of Chinese Manufacturing Energy Use, 1995-2020. Berkeley: Lawrence Berkeley National Laboratory, 2013. LBNL-6028E..
Comparison of Energy-Related Carbon Dioxide Emissions Intensity of the International Iron and Steel Industry: Case Studies from China, Germany, Mexico, and the United States. 2016. LBNL-1004069..
"Retrospective and prospective decomposition analysis of Chinese manufacturing energy use and policy implications." Energy Policy (2013)..
"Emerging Energy-Efficiency and CO2 Emissions-Reduction Technologies for Industry: A Review of Technologies for Alternative Ironmaking and Pulp and Paper Industry." 2013 ACEEE Summer Study on Energy Efficiency in Industry. 2013..
"Why the Energy Use of Chinese Steel Industry May Peak As Early As 2015?." 2014 ECEEE Summer Study on Energy Efficiency in Industry 2014..
"Is Your City Really Sustainable? A Tale of Jinan City Using Quantitative Low- Carbon Eco-city Tools." 2014 ACEEE Summer Study on Energy Efficiency in Building 2014: 119-130..
"ELITE Cities: A low-carbon Eco-city Evaluation Tool for China." ECEEE 2013 Summer Study 2013..
"Modeling China's Building Floor-Area Growth and the Implications for Building Materials and Energy Demand." 2014 ACEEE Summer Study on Energy Efficiency in Buildings. Pacific Grove, CA: The American Council for an Energy-Efficient Economy, 2014..
"Assessment of China's Renewable Energy Contribution During the 12th Five Year Plan." Energy Policy 62 (2013) 1533-1543..
"Comparative Study of Commercial Building Energy-Efficiency Retrofit Policies in Four Pilot Cities in China." European Council for an Energy Efficient Economy (ECEEE) Summer Study on Energy Efficiency, June 1-6, 2015. 2015..
"MOD-DR: Microgrid optimal dispatch with demand response." Applied Energy 187 (2016). LBNL-1006770..