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实现具有成本效益的燃烧后碳捕集所需的先进膜和学习规模

Advanced Membranes and Learning Scale Required for Cost-Effective Post-combustion Carbon Capture.

作者信息

Zhai Haibo

机构信息

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh PA 15213, USA.

出版信息

iScience. 2019 Mar 29;13:440-451. doi: 10.1016/j.isci.2019.03.006. Epub 2019 Mar 9.

Abstract

This study offers an integrated vision for advanced membrane technology for post-combustion carbon capture. To inform development of new-generation materials, a plant-level techno-economic analysis is performed to explore major membrane property targets required for cost-effective CO capture. To be competitive with amine-based nth-of-a-kind (NOAK) technology or meet a more ambitious cost target for 90% CO capture, advanced membranes should have a higher CO permeance than 2,250 GPU and a higher CO/N selectivity than 30 if their installed prices are higher than $50/m. To assess learning experience required for advanced technology using such high-performance membranes toward commercialization, a hybrid approach that combines learning curves with the techno-economic analysis is applied to project the cumulative installed capacity necessary for the evolution from first-of-a-kind to NOAK systems. The estimated learning scale for advanced membrane technology is more than 10 GW, depending on multiple factors. Implications for research, development, and policy are discussed.

摘要

本研究为燃烧后碳捕集的先进膜技术提供了一个综合愿景。为指导新一代材料的开发,进行了工厂层面的技术经济分析,以探索具有成本效益的二氧化碳捕集所需的主要膜性能目标。为了与基于胺的同类技术(NOAK)竞争,或满足90%二氧化碳捕集更具雄心的成本目标,如果先进膜的安装价格高于50美元/平方米,那么它们应具有高于2250 GPU的二氧化碳渗透率和高于30的二氧化碳/氮气选择性。为评估使用此类高性能膜的先进技术实现商业化所需的学习经验,采用了一种将学习曲线与技术经济分析相结合的混合方法,来预测从首台系统发展到NOAK系统所需的累计装机容量。根据多种因素,先进膜技术的估计学习规模超过10吉瓦。并讨论了对研究、开发和政策的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/032a/6434056/3bb61f7bf34d/fx1.jpg

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