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碳捕获模拟计划:多尺度建模的案例研究及新挑战

Carbon Capture Simulation Initiative: a case study in multiscale modeling and new challenges.

作者信息

Miller David C, Syamlal Madhava, Mebane David S, Storlie Curt, Bhattacharyya Debangsu, Sahinidis Nikolaos V, Agarwal Deb, Tong Charles, Zitney Stephen E, Sarkar Avik, Sun Xin, Sundaresan Sankaran, Ryan Emily, Engel Dave, Dale Crystal

机构信息

US Department of Energy, National Energy Technology Laboratory, Pittsburgh, Pennsylvania 15236; email:

出版信息

Annu Rev Chem Biomol Eng. 2014;5:301-23. doi: 10.1146/annurev-chembioeng-060713-040321. Epub 2014 Apr 10.

Abstract

Advanced multiscale modeling and simulation have the potential to dramatically reduce the time and cost to develop new carbon capture technologies. The Carbon Capture Simulation Initiative is a partnership among national laboratories, industry, and universities that is developing, demonstrating, and deploying a suite of such tools, including basic data submodels, steady-state and dynamic process models, process optimization and uncertainty quantification tools, an advanced dynamic process control framework, high-resolution filtered computational-fluid-dynamics (CFD) submodels, validated high-fidelity device-scale CFD models with quantified uncertainty, and a risk-analysis framework. These tools and models enable basic data submodels, including thermodynamics and kinetics, to be used within detailed process models to synthesize and optimize a process. The resulting process informs the development of process control systems and more detailed simulations of potential equipment to improve the design and reduce scale-up risk. Quantification and propagation of uncertainty across scales is an essential part of these tools and models.

摘要

先进的多尺度建模与模拟有潜力大幅减少开发新型碳捕获技术所需的时间和成本。碳捕获模拟计划是国家实验室、行业和大学之间的合作项目,正在开发、展示和部署一套此类工具,包括基础数据子模型、稳态和动态过程模型、过程优化与不确定性量化工具、先进的动态过程控制框架、高分辨率滤波计算流体动力学(CFD)子模型、具有量化不确定性的经过验证的高保真设备尺度CFD模型,以及一个风险分析框架。这些工具和模型使包括热力学和动力学在内的基础数据子模型能够在详细的过程模型中使用,以合成和优化一个过程。由此产生的过程为过程控制系统的开发以及对潜在设备的更详细模拟提供信息,以改进设计并降低放大风险。跨尺度不确定性的量化和传播是这些工具和模型的重要组成部分。

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