Predicticting performance of carbon capture in intensified rotating packed beds using CFD

碳捕获被认为是唯一能够让这些难以遏制的行业脱碳的技术。这些行业中的许多行业利用传统碳捕获所需的空间很小的传统场地进行大型新单元操作。旋转填充床(RPB)希望通过强化碳捕获并将所需占地减少多达十倍来解决这一问题，同时还显著降低这些单元的资本成本。当与专利溶剂相结合时，人们认为在某些情况下，捕获成本可以降低到30美元/吨二氧化碳，有助于快速捕获碳并向净零发展。RPB是一种新技术，它利用过程强化原理来增强流体之间传质过程的性能。鉴于RPB在二氧化碳捕集领域的应用相对较新，不同的工艺变量对RPB性能的影响存在不确定性，否则需要进行大量的实际实验来研究。计算流体力学可以对过程进行准确的建模，从而能够快速、廉价地预测各种条件下的性能。在这个项目中，旋转填充床吸收塔将在ANSYSFflow中建模，并通过使用谢菲尔德大学转换能源研究中心的1吨/天二氧化碳(TPD)中试规模旋转填充床吸收塔来验证模型的输出。初步研究将包括考察操作条件和溶剂的物理性质对捕集性能的影响。随着项目的继续，范围将扩大到包括设计参数的敏感性分析和RPB吸收装置的缩放对现有项目产出和学习的影响。此外，还可以研究更多的旋转装置操作。该项目将利用和发展您在CFD建模、质量和热传递、反应动力学和化学平衡方面的知识。您将与Carbon Clean密切合作，Carbon Clean是碳捕获技术开发的全球领先者，也是使用RPB进行工业脱碳的先驱。您的发现可能会直接影响商业工作碳捕获设施的设计和运营，从而支持NetZero的途径

Carbon capture is considered the only technology able to decarbonise thehard-to-abate industries. Many of these industries utilise legacy sites with littlespace for large new unit operations required in conventional carbon capture.Rotating packed beds (RPB) look to solve this problem by intensifying carboncapture and reducing the footprint required by up to ten times, while alsosignificantly decreasing the capital cost of these units. When combined withproprietary solvents, it is believed the cost of capture can be reduced to$30/tonne CO2 in some cases, helping to enable the rapid uptake of carboncapture and progression towards net zero.RPB is a novel technology that utilises the principles of process intensificationto enhance the performance of mass transfer processes between fluids. Giventhe application of RPB to the field of CO2 capture is relatively new, there isuncertainty regarding the impact of different process variables on theperformance of the RPB that would otherwise require a significant amount ofpractical experimentation to investigate. Computational fluid dynamics canenable the process to be accurately modelled, allowing for quick andinexpensive prediction of performance under various conditions.In this project a rotating packed bed absorber will be modelled in AnsysFLUENT, with validation of the model's outputs through use of the 1 tonnes ofCO2 per day (TPD) pilot-scale rotating packed bed absorber at the University ofSheffield's Translational Energy Research Centre. Initial research will involveinvestigating the impact of operational conditions and physical properties ofthe solvent on capture performance. As the project continues, the scope willwiden to include sensitivity analysis of design parameters and the impact ofscaling the RPB absorber on the existing project outputs and learnings.Additionally, further rotating unit operations could also be investigated.This project will utilise and develop your knowledge surrounding CFDmodelling, mass and heat transfer, reaction kinetics and chemical equilibria.You will work closely with Carbon Clean, a global leader in the development ofcarbon capture technology and pioneers in the use of RPB for industrialdecarbonisation. Your findings could directly impact the design and operationof commercial working carbon capture facilities, supporting the pathway to netzero