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with high implementation of CCS China uses less than 60% of <strong>the</strong> CO 2 storage potentialover <strong>the</strong> next century.Studies like this are sensitive to specific assumptions: <strong>the</strong> availability of non-fossilenergy resources <strong>and</strong> CCS availability are essential options to meet mitigation targets.Fur<strong>the</strong>r research <strong>and</strong> assessment is <strong>the</strong>re<strong>for</strong>e needed to help better quantify <strong>the</strong> futurepotential <strong>for</strong> biomass, wind, solar, hydro, geo<strong>the</strong>rmal, nuclear power, etc. Moreover,different assumptions <strong>for</strong> future economic development can also dramatically influence<strong>the</strong> results.Never<strong>the</strong>less, this analysis demonstrates <strong>the</strong> importance <strong>and</strong> <strong>the</strong> potential <strong>for</strong> biomass<strong>and</strong> CCS (though not BECCS) in meeting emissions reduction targets, particularly inChina. Without China on board in a global climate policy, <strong>and</strong> without <strong>the</strong> developmentof biomass resources <strong>and</strong> penetration of CCS in <strong>the</strong> power sector, it will be very difficultto prevent dangerous climate change as aimed <strong>for</strong> under <strong>the</strong> UN Framework Conventionon Climate Change (UNFCCC) <strong>and</strong> <strong>the</strong> Copenhagen Accord.5. AcknowledgementsThe authors gratefully acknowledge ETSAP <strong>and</strong> KANLO-KANORS <strong>for</strong> access to <strong>the</strong>TIAM model, support <strong>and</strong> rewarding discussions on modeling issues.6. ReferencesBlan<strong>for</strong>d, G. J., R. G. Richels, <strong>and</strong> T. F. Ru<strong>the</strong>r<strong>for</strong>d. Revised Emission GrowthProjections <strong>for</strong> China: Why Post-Kyoto Climate Policy Must Look East. The HarvardProject on International Climate Agreements, Discussion Paper 08-06. 2008.BP Statistical Review of World <strong>Energy</strong>. 2010Clarke, L., J. Edmonds, V. Krey, R. Richels, S. Rose, <strong>and</strong> M. Tavoni. Internationalclimate policy architectures: Overview of <strong>the</strong> EMF 22 International Scenarios. <strong>Energy</strong>Economics 31. 2009.Dahowski, R. T., L. Xiaochun, C. L. Davidson, N. Wei, <strong>and</strong> J. J. Dooley. RegionalOpportunities <strong>for</strong> Carbon Dioxide Capture <strong>and</strong> Storage in China. A Comprehensive CO 2Storage Cost Curve <strong>and</strong> Analysis of <strong>the</strong> Potential <strong>for</strong> Large Scale Carbon DioxideCapture <strong>and</strong> Storage in <strong>the</strong> People´s Republic of China. U.S. Department of <strong>Energy</strong>.2009.Gregg, J.S., R.J. Andres, <strong>and</strong> G. Marl<strong>and</strong>. China world leader in CO 2 emissions fromfossil fuel consumption <strong>and</strong> cement production. Geophysical Research Letters 35:L08806. 2008.International <strong>Energy</strong> Agency. <strong>Energy</strong> Technology Perspectives 2008 – Scenarios <strong>and</strong>Strategies to 2050. 2008.Loulou, R. <strong>and</strong> M. Labriet. ETSAP-TIAM: <strong>the</strong> TIMES integrated assessment model. PartI: Model Structure. Computational Management Science 5: 7-40. 2008.Loulou, R. ETSAP-TIAM: <strong>the</strong> TIMES integrated assessment model. Part II:Ma<strong>the</strong>matical <strong>for</strong>mulation. Computational Management Science 5: 41-66. 2008.Loulou, R., M. Labriet, <strong>and</strong> A. Kanudia. Deterministic <strong>and</strong> Stochastic Analysis ofalternative climate targets under differentiated cooperation regimes. <strong>Energy</strong> Economics31. 2009.Milbr<strong>and</strong>t, A. <strong>and</strong> R. P. Overend. Survey of Biomass Resource Assessments <strong>and</strong>Assessment Capabilities in APEC Economies. Report prepared <strong>for</strong> <strong>the</strong> APEC <strong>Energy</strong>Working Group under EWG 01/2007A by: National Renewable <strong>Energy</strong> Laboratory(NREL) Golden, Colorado, USA. 2008.9Risø International <strong>Energy</strong> Conference 2011 Proceedings Page 266

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