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The Effect of Government Actions on Environmental Technology Innovation: Applications to the Integrated Assessment of Carbon Sequestration Technologies

机译:政府行为对环境技术创新的影响:在碳固存技术综合评估中的应用

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摘要

The forecast of technology changes is one of the most important assumptions in most long-term energy, economic models. This project seeks to improve the ability of integrated assessment models (IA) to incorporate changes in technology, especially environmental technologies, cost and performance over time. In this reports, we presents results of research that examines past experience in controlling other major power plant emissions that might serve as a reasonable guide to future rates of technological progress in carbon capture and sequestration (CCS) systems. In particular, we focus on U.S. and worldwide experience with sulfur dioxide (SO2) and nitrogen oxide (NOx) control technologies over the past 30 years, and derive empirical learning rates for these technologies. The patterns of technology innovation are captured by our analysis of patent activities and trends of cost reduction over time. Overall, we found learning rates of 11% for the capital costs of flue gas desulphurization (FGD) system for SO2 control, and 13% for selective catalytic reduction (SCR) systems for NOx control. We explore the key factors responsible for the observed trends, especially the development of regulatory policies for SO2 and NOx control, and their implications for environmental control technology innovation.
机译:在大多数长期能源,经济模型中,技术变化的预测是最重要的假设之一。该项目旨在提高综合评估模型(IA)纳入技术变化(尤其是环境技术,成本和性能随时间变化)的能力。在本报告中,我们提供了研究结果,研究了过去在控制其他主要电厂排放方面的经验,这些经验可以作为未来碳捕集与封存(CCS)系统技术进步速度的合理指南。尤其是,我们将重点介绍过去30年中在美国和全球范围内使用二氧化硫(SO2)和氮氧化物(NOx)控制技术的经验,并得出这些技术的经验学习率。通过对专利活动和随着时间的推移降低成本的趋势进行分析,可以掌握技术创新的模式。总体而言,我们发现用于SO2控制的烟气脱硫(FGD)系统的基本成本的学习率为11%,而用于NOx控制的选择性催化还原(SCR)系统的学习率为13%。我们探索了导致观察到的趋势的关键因素,尤其是SO2和NOx控制法规政策的发展,以及它们对环境控制技术创新的影响。

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