Anderson Soares Chinen

Development of Hydraulic Models, Mass Transfer Models, and Dynamic Models of Solvent-Based Carbon Capture Processes with Uncertainty Quantification and Validation with Pilot Plant Data 

 In this work, a large range of liquid and gas flowrates, and wide range of viscosity and density for the liquid phase are considered and an optimal model is developed. The pressure drop and holdup models are also evaluated with data from numerous process scales. A novel methodology is developed where parameters of the mass transfer models are simultaneously regressed by using the data from the wetted wall column, and packed towers, simultaneously. It is observed that the technique helps to improve the predictive capability of the process model. In this project, dynamic models are developed in Aspen Plus DynamicsRTM. Approximate pseudo random binary sequences are designed for the input signals and applied to the National Carbon Capture Center (NCCC) pilot plant during the 2014 MEA campaign. The transient data are used to solve a dynamic data reconciliation and parameter estimation problem. Due to the computational expense and large dimensionality of the underlying problem, only the parameters corresponding to the holdup model could be estimated. It is observed that the holdup parameters could be optimally estimated by using the dynamic data collected over only a day. The techniques shows promise for the model development and parameter estimation by using the dynamic data that can be collected very quickly as opposed to the traditionally used steady-state data that take months thereby saving considerable resources. 

• Morgan J, Chinen Soares A, Anderson-Cook, C, Tong C, Carroll J, Saha C, Omell B, Bhattacharyya D, Matuszewski M, Bhat K S, Miller D C,  “Development of a Framework for Sequential Bayesian Design of Experiments: Application to a Pilot-Scale Solvent-Based CO2 Capture Process”,  Applied Energy, 262, 114533, 2020 

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Miller D C,  “Dynamic Data Reconciliation and Validation of a Dynamic Model for Solvent-Based CO2 Capture Using Pilot-Plant Data”,  Industrial  & Engineering Chemistry Research, 58, 1978-1993, 2019 

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Tong C, Miller D C,  “Development of a Rigorous Modeling Framework for Solvent-Based CO2 Capture. Part 1: Hydraulic and Mass Transfer Models and Their Uncertainty Quantification”, Industrial  & Engineering Chemistry Research, 57, 10448-10463, 2018 

• Morgan J, Chinen Soares A, Omell B, Bhattacharyya D, Tong C, Miller D C,  Buschle B, Lucquiaud M,  “Development of a Rigorous Modeling Framework for Solvent-Based CO2 Capture. Part 2: Steady-State Validation and Uncertainty Quantification with Pilot Plant Data”, Industrial  & Engineering Chemistry Research, 57, 10464-10481, 2018 

• Morgan J, Chinen Soares A, Omell B, Bhattacharyya D, Tong C, Miller D C,  “Thermodynamic Modeling and Uncertainty Quantification of CO2-Loaded Aqueous MEA Solutions”, Chemical Engineering Science, 168, 309-324, 2017 

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Miller D C, “Dynamic Data Reconciliation and Model Validation of a MEA-Based CO2 Capture System using Pilot Plant Data”, IFAC-PapersOnLine, 49-7, 639-644, 2016, Proceedings of the 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Trondheim, Norway, June 6-8, 2016 

• Chinen Soares A, Morgan J , Bhattacharyya D, Omell B P, Matuszewski M, Miller D C,  “Optimal Design of Dynamic Experiments for Pilot Plants for CO2 Capture”, Paper 443a, AIChE Annual Meeting, Pittsburgh, PA, October 28-November 2, 2018 

• Chinen Soares A, Morgan J, Bhattacharyya D, “Dynamic Testing in Large-Scale Test Programs: Maximize Learning to Support Optimal Design and Control,” 2017 Carbon Capture Simulation for Industry Impact (CCSI2) Industrial and Academic Stakeholder Board (IASB) Workshop, Pittsburgh, PA, August 23-24, 2017 

• Chinen Soares A, Morgan J , Omell B, Bhattacharyya D,  Miller D C, “CO2 Capture Process Dynamic Design of Experiments and Model Validation”, Paper 398k, AIChE Annual Meeting, Minneapolis, MN, October 29-November 3, 2017 

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Miller D C, “Dynamic Data Reconciliation and Model Validation of a CO2 Capture Process Using Pilot Plant Data”, Paper 663a, AIChE Annual Meeting, San Francisco, CA, November 13-18, 2016

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Tong C, Miller D C, “Deterministic and Stochastic Mass Transfer Models for CO2 Capture Processes”, Paper 71g, AIChE Annual Meeting, San Francisco, CA, November 13-18, 2016

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Miller D C, “Dynamic Data Reconciliation and Model Validation of a MEA-Based CO2 Capture System using Pilot Plant Data”, 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Trondheim, Norway, June 6-8, 2016

• Chinen Soares A, Morgan J, Omell B, Bhattacharyya D, Miller D C, “Development and Validation of Predictive Models of a Carbon Capture System”, The 3rd University of Texas Conference on Carbon Capture and Storage, Austin, TX, February 17-19, 2016