Distributed monitoring of the absorption column of a post‐combustion CO<sub>2</sub> capture plant

Yin, Xunyuan; Decardi‐Nelson, Benjamin; Liu, Jinfeng

doi:10.1002/acs.3074

Cited by 21 publications

(7 citation statements)

References 56 publications

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“…In this work, we assume that all the states are measured and available to the controller at any sampling time t k≥0 with a sampling interval ∆ set at 10 minutes. This is a reasonable assumption since it has been shown that only the temperature measurements, which can be easily obtained, can be used to reconstruct the full states of the absorption column [26]. Unless otherwise stated, the prediction and control horizon N of the controllers is set at 10.…”

Section: Simulation Settingsmentioning

confidence: 99%

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking

Decardi‐Nelson¹,

Liu²

2022

Preprint

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Several studies have reported the importance of optimally operating the absorption column in a post-combustion CO 2 capture (PCC) plant. It has been demonstrated in our previous work how economic Model Predictive Control (EMPC) has a great potential to improve the operation of the PCC plant. However, the use of a general economic objective such as maximizing the absorption efficiency of the column can cause EMPC to drive the state of the system close to the constraints. This may often than not lead to solvent overcirculation and flooding which are undesirable. In this work, we present an EMPC with zone tracking algorithm as an effective means to address this problem. The proposed control algorithm incorporates a zone tracking objective and an economic objective to form a multi-objective optimal control problem. To ensure that the zone tracking objective is achieved in the presence of model uncertainties and time-varying flue gas flow rate, we propose a method to modify the original target zone with a control invariant set. The zone modification method combines both ellipsoidal control invariant set techniques and a back-off strategy. The use of ellipsoidal control invariant sets ensure that the method is applicable to large scale systems such as the absorption column. We present several simulation case studies that demonstrate the effectiveness and applicability of the proposed control algorithm to the absorption column in a post-combustion CO 2 capture plant.

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Section: Simulation Settingsmentioning

confidence: 99%

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking

Decardi‐Nelson¹,

Liu²

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this work, we assume that all the states are measured and available to the controller at any sampling time t k≥0 with a sampling interval ∆ set at 10 min. This is a reasonable assumption since it has been shown that only the temperature measurements, which can be easily obtained, can be used to reconstruct the full states of the absorption column [34]. Unless otherwise stated, the prediction and control horizon N of the controllers is set at 10.…”

Section: Simulation Settingsmentioning

confidence: 99%

Robust Economic MPC of the Absorption Column in Post-Combustion Carbon Capture through Zone Tracking

Decardi‐Nelson

Liu

2022

Energies

Self Cite

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Several studies have reported the importance of optimally operating the absorption column in a post-combustion CO2 capture (PCC) plant. It has been demonstrated in our previous work how economic model predictive control (EMPC) has a great potential to improve the operation of the PCC plant. However, the use of a general economic objective such as maximizing the absorption efficiency of the column can cause EMPC to drive the state of the system close to the constraints. This may lead to solvent overcirculation and flooding, which are undesirable. In this work, we present an EMPC with zone tracking algorithm as an effective means to address this problem. The proposed control algorithm incorporates a zone tracking objective and an economic objective to form a multi-objective optimal control problem. To ensure that the zone tracking objective is achieved in the presence of model uncertainties and time-varying flue gas flow rate, we propose a method to modify the original target zone with a control invariant set. The zone modification method combines both ellipsoidal control invariant set techniques and a back-off strategy. The use of ellipsoidal control invariant sets ensure that the method is applicable to large scale systems such as the absorption column. We present several simulation case studies that demonstrate the effectiveness and applicability of the proposed control algorithm to the absorption column in a post-combustion CO2 capture plant.

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“…Another strategy to improve efficiency is using distributed methods in such way as to allocate the optimization workload on different computational units, as shown in References 3 and 4 with applications to fault diagnosis. The approach proposed in Reference 3 is based on the decomposition of the original MHE problem into subproblems, each requiring a limited computational complexity in order to mitigate the effect of the dimensionality, while ensuring scalability.…”

Section: Introductionmentioning

confidence: 99%

“…Following the distributed paradigm, an application to the distributed monitoring of an amine‐based post‐combustion plant for CO 2 capture is presented in Reference 4, where the process is decomposed into subsystems by using a community detection scheme. The large‐scale interaction network associated with the system dynamics is partitioned into smaller communities so that connections within each community can be strong, while links connecting different communities are relatively sparse.…”

Section: Introductionmentioning

confidence: 99%

Moving horizon estimation: Open problems, theoretical progress, and new application perspectives

Alessandri

Battistelli²

2020

Adaptive Control & Signal

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Summary The special issue presents results of the current research on moving horizon estimation for linear and nonlinear systems. The special issue includes six papers with two main types of contributions, that is, those with new theoretical developments and those focused on practical applications such as fault diagnosis, outlier accommodation, and field monitoring. Notably, these two types of contribution are somehow mixed since the combination of theory and application is a fundamental inspiration mechanism, whenever systematic and rigorous algorithm devising enables outstanding experimental performance and, conversely, challenging experimental problems inspire conceptual insights in theoretical understanding.

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Distributed monitoring of the absorption column of a post‐combustion CO₂ capture plant

Cited by 21 publications

References 56 publications

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking

Robust Economic MPC of the Absorption Column in Post-Combustion Carbon Capture through Zone Tracking

Moving horizon estimation: Open problems, theoretical progress, and new application perspectives

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Distributed monitoring of the absorption column of a post‐combustion CO2 capture plant

Cited by 21 publications

References 56 publications

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking

Robust Economic MPC of the Absorption Column in Post-Combustion Carbon Capture through Zone Tracking

Moving horizon estimation: Open problems, theoretical progress, and new application perspectives

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Product

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Distributed monitoring of the absorption column of a post‐combustion CO₂ capture plant