Role of technologies in energy-related CO2 mitigation in China within a climate-protection world: A scenarios analysis using REMIND

In a world with the need of climate protection through emission reduction, China’s domestic mitigation will be put on the national agenda. The large-scale deployment of innovative technologies induced by climate policies is a key determinant for reducing emissions in an effective and efficient manner. A distinguishing feature of the Chinese energy sector (especially electricity generation), is that investment costs are significantly lower than in other world regions. Represented in the methodological framework of the augmented REMIND model, three promising mitigation technologies (also known as technology clusters) in the electricity sector: CCS with advanced coal-generation technologies, nuclear, and renewables are the focus of this study. The scenarios are designed to analyze the roles of these technologies and their associated economic impacts under a climate policy (i.e., a carbon tax). Our results indicate that:

[1]  Robert J. Brecha,et al.  Economics of nuclear power and climate change mitigation policies , 2012, Proceedings of the National Academy of Sciences.

[2]  Yi-Ming Wei,et al.  Distributional impacts of taxing carbon in China: Results from the CEEPA model , 2012 .

[3]  G. Luderer,et al.  Global fossil energy markets and climate change mitigation – an analysis with REMIND , 2012, Climatic Change.

[4]  Xunmin Ou,et al.  Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China , 2011 .

[5]  Elmar Kriegler,et al.  Asia's role in mitigating climate change: A technology and sector specific analysis with ReMIND-R , 2012 .

[6]  J. Palutikof,et al.  Climate change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[7]  Donald J. Lacombe,et al.  Province-level convergence of China’s carbon dioxide emissions , 2015 .

[8]  Lei Zhu,et al.  A real options–based CCS investment evaluation model: Case study of China’s power generation sector , 2011 .

[9]  B. Mathiesen,et al.  100% Renewable energy systems, climate mitigation and economic growth , 2011 .

[10]  Peter Viebahn,et al.  Integrated assessment of carbon capture and storage (CCS) in the German power sector and comparison with the deployment of renewable energies , 2012 .

[11]  Patrik Söderholm,et al.  Wind power learning rates: A conceptual review and meta-analysis☆ , 2012 .

[12]  Richard S. Middleton,et al.  The complex future of CO2 capture and storage: Variable electricity generation and fossil fuel power , 2013 .

[13]  Zheng Li,et al.  Strategic thinking on IGCC development in China , 2008 .

[14]  Chi-Jen Yang,et al.  A comparison of the nuclear options for greenhouse gas mitigation in China and in the United States , 2011 .

[15]  Ruyin Long,et al.  Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI , 2014 .

[16]  Wenji Zhou,et al.  Uncertainty modeling of CCS investment strategy in China’s power sector , 2010 .

[17]  Jia Li,et al.  Perceptions of opinion leaders towards CCS demonstration projects in China , 2011 .

[18]  Wen Liu,et al.  The Potential of Renewable Energy Systems in China , 2009 .

[19]  N. Bauer,et al.  The REMIND-R model: the role of renewables in the low-carbon transformation—first-best vs. second-best worlds , 2012, Climatic Change.

[20]  Mats Söderström,et al.  Biomass gasification in district heating systems - The effect of economic energy policies , 2010 .

[21]  Boqiang Lin,et al.  Estimating coal production peak and trends of coal imports in China , 2010 .

[22]  Alexandre Szklo,et al.  Integrated gasification combined cycle and carbon capture: A risky option to mitigate CO2 emissions of coal-fired power plants , 2011 .

[23]  Dequn Zhou,et al.  The elasticity of substitution and the way of nesting CES production function with emphasis on energy input , 2014 .

[24]  Chen Wenying,et al.  Future implications of China's energy-technology choices , 2003 .

[25]  O. Edenhofer,et al.  Mitigation Costs in a Globalized World: Climate Policy Analysis with REMIND-R , 2010 .

[26]  Can Wang,et al.  Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change , 2009 .

[27]  Lei Zhu,et al.  What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS? , 2013 .

[28]  Xi Jiang,et al.  Modelling and monitoring of geological carbon storage: A perspective on cross-validation , 2013 .

[29]  Elmar Kriegler,et al.  The role of Asia in mitigating climate change: Results from the Asia modeling exercise , 2012 .

[30]  Magnus Karlsson,et al.  The MIND method: A decision support for optimization of industrial energy systems - Principles and case studies , 2011 .