To assist in China's transition to a sustainable energy future by promoting energy efficiency and renewable energy

published Jan 22, 2014 01:05 PM, last modified Jan 22, 2014 01:05 PM

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[ Aug 26, 2016 ]

[ Jul 01, 2016 ]

In order to better implement the requirements of China’s national air pollution prevention and control standards and improve air quality in Beijing-Tianjin-Hebei (Jing-jin-ji, JJJ), the China Environmental Management Program (CEMP) grantee Beijing Municipal Research Institute of Environmental Protection (BMRIEP) will conduct a project on the clean energy transformation in the JJJ region.

[ Jul 01, 2016 ]

In 2016, local pilots will carry out Phase II projects, including the 13th Five-Year Plan (FYP) for air pollution prevention and control and local city air quality attainment plans. Phase II projects will continue centering on the core requirements of urban air quality standards attainment and carrying out pilot studies on the time limit of standards attainment, phased improvement objectives, measures and tasks for attaining standards, and co-control measures.

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[ Oct 20, 2015 ]

China has also initiated 42 low carbon pilots, including 6 provinces and 36 cities, which represent various geographic locations, resource endowments, economic growth patterns, industrial mixes, and energy-use behaviors. These pilots have developed and implemented many policies, programs, and measures to achieve low carbon development paths at the provincial and municipal levels in the long term. Factsheets in this document are based on analyzing actions in 10 cities out of the 42 low carbon pilots.

[ Sep 01, 2015 ]

In June 2014, Tsinghua University invited total 52 faculty and students from four famous universities to participate in the four-week “2014 Beijing Low Carbon Urban Design Joint Studio.”

[ Aug 10, 2015 ]

This report attempts to flash out actual and certified FC gaps in China based on official FC certified data available and voluntary actual FC data collected from drivers across China through BearOil App and to suggest and assess reasons for causing the gap (e.g. by model and by location).

 
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