Title |
SWITCH-China: A Systems Approach to Decarbonizing China’s Power System
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Published in |
Environmental Science & Technology, May 2016
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DOI | 10.1021/acs.est.6b01345 |
Pubmed ID | |
Authors |
Gang He, Anne-Perrine Avrin, James H. Nelson, Josiah Johnston, Ana Mileva, Jianwei Tian, Daniel M. Kammen |
Abstract |
We present an integrated model, SWITCH-China, of the Chinese power sector to analyze the economic and technological implications of a medium to long-term decarbonization scenario while accounting for very short-term renewable variability. Based on the model and assumptions used, we find that the announced 2030 carbon peak can be achieved with a carbon price of ~$40/tCO2. Current trends in renewable energy price reductions alone are insufficient to replace coal, however, an 80% carbon emission reduction by 2050 is achievable in the IPCC Target Scenario with an optimal electricity mix in 2050 including nuclear (14%), wind (23%), solar (27%), hydro (6%), gas (1%), coal (3%), CCS coal (26%). The co-benefits of carbon-price strategy would offset 22% to 42% of the increased electricity costs if the true cost of coal and social cost of carbon are incorporated. In such a scenario, aggressive attention to research and both technological and financial innovation mechanisms are crucial to enable the transition at reasonable cost, along with strong carbon policies. |
X Demographics
Geographical breakdown
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United States | 3 | 30% |
Australia | 1 | 10% |
Sweden | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 9 | 90% |
Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
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Unknown | 166 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 30 | 18% |
Researcher | 28 | 17% |
Student > Master | 15 | 9% |
Student > Bachelor | 10 | 6% |
Student > Doctoral Student | 6 | 4% |
Other | 20 | 12% |
Unknown | 57 | 34% |
Readers by discipline | Count | As % |
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Energy | 22 | 13% |
Engineering | 21 | 13% |
Environmental Science | 14 | 8% |
Social Sciences | 7 | 4% |
Economics, Econometrics and Finance | 6 | 4% |
Other | 20 | 12% |
Unknown | 76 | 46% |