| 1. |
- Prölss, Katrin, et al.
(författare)
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Dynamic model of a post-combustion absorption unit for use in a non-linear model predictive control scheme
- 2011
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Ingår i: Energy Procedia. - : Elsevier BV. - 1876-6102. ; 4, s. 2620-2627
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Konferensbidrag (refereegranskat)abstract
- With an increasing demand on load flexibility in power supply networks, advanced control systems for plants with carbon capture units gain in significance. Minimizing the energy demand for carbon dioxide removal under these circumstances is a major task of such a control strategy. In this work a dynamic model in Modelica of a chemical absorption process run with an aqueous monoethanolamine (MEA) is developed. Starting from a rather detailed dynamic model of the process, model reduction is performed based on physical insight. The reduced model computes distinctly faster, shows similar transient behavior and reflects trends for optimal steady-state operations reported in the literature. The model is intended to be used in the framework of JModelica.org, a platform supporting non-linear dynamic optimization.
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| 2. |
- Åkesson, Johan, et al.
(författare)
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Nonlinear Model Predictive Control of a CO2 Post-Combustion Absorption Unit
- 2012
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Ingår i: Chemical Engineering & Technology. - : Wiley. - 1521-4125 .- 0930-7516. ; 35:3, s. 445-454
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Tidskriftsartikel (refereegranskat)abstract
- A dynamic model of a chemical CO2 absorption process with aqueous monoethanolamine (MEA) is presented, validated against experimental data. Based on the validated model, a reduced-order model is developed, suitable for an online optimization control strategy. The objective of the optimization is to enable fast adap- tations to changes in operating conditions of the power plant, while minimizing the energy consumption in the operation of the CO2 separation plant. The results indicate that model-based online optimization is a feasible technology for control of CO2 separation systems.
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