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The Impact of Uncertainty in Climate Targets and CO_2 Storage Availability on Long-Term Emissions Abatement

机译:气候目标和CO_2储存量不确定性对长期减排的影响

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A major characteristic of our global interactive climate-energy system is the large uncertainty that exists with respect to both future environmental requirements and the means available for fulfilling these. Potentially, a key technology for leading the transition from the current fossil fuel-dominated energy system to a more sustainable one is carbon dioxide capture and storage. Uncertainties exist, however, concerning the large-scale implementability of this technology, such as related to the regional availability of storage sites for the captured CO_2. We analyze these uncertainties from an integrated assessment perspective by using the bottom-up model TIAM-ECN and by studying a set of scenarios that cover a range of different climate targets and technology futures. Our study consists of two main approaches: (1) a sensitivity analysis through the investigation of a number of scenarios under perfect foresight decision making and (2) a stochastic programming exercise that allows for simultaneously considering a set of potential future states-of-the-world. We find that, if a stringent climate (forcing) target is a possibility, it dominates the solution: if deep CO_2 emission reductions are not started as soon as possible, the target may become unreachable. Attaining a stringent climate target comes in any case at a disproportionally high price, which indicates that adaptation measures or climate damages might be preferable to the high mitigation costs such a target implies.
机译:我们的全球互动式气候-能源系统的主要特征是,在未来的环境要求和实现这些要求的手段方面存在很大的不确定性。潜在地,从当前以化石燃料为主导的能源系统向更可持续的能源系统过渡的一项关键技术是二氧化碳的捕获和存储。但是,关于该技术的大规模实施性存在不确定性,例如与捕获CO_2的存储地点的区域可用性有关。我们通过使用自下而上的模型TIAM-ECN,并研究了涵盖一系列不同气候目标和技术未来的一系列情景,从综合评估的角度分析了这些不确定性。我们的研究包括两种主要方法:(1)通过在完美的远见决策下对多种情况进行调查来进行敏感性分析;(2)随机编程练习,可以同时考虑一组潜在的未来状态-世界。我们发现,如果有可能实施严格的气候(强迫)目标,则它将主导解决方案:如果无法尽快开始大幅减少CO_2排放,则该目标可能无法实现。无论如何,要达到严格的气候目标都需要付出不成比例的高昂代价,这表明适应措施或气候损害可能比该目标所暗示的高减排成本更为可取。

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