Dynamic modeling and validation of post-combustion CO2 capture plants in Australian coal-fired power stations
- Authors: Bui, Mai , Gunawan, Indra , Verheyen, Vincent , Artanto, Yuli , Meuleman, Erik , Feron, Paul
- Date: 2013
- Type: Text , Journal article
- Relation: Energy Procedia Vol. 37, no. (2013), p. 2694-2702
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- Description: Flexible operation of post-combustion CO2 capture (PCC) plants can improve efficiency through coordinating the balance between consumer demands for electricity and CO2 emission reductions. This strategy however, will impose process disturbances while the PCC plant is ramped up, ramped down or turned off. This paper presents the preliminary development of a dynamic model for PCC in a brown coal-fired power plant using the process simulation software Aspen Plus Dynamics. Validation of the dynamic model will be against both steady state and dynamic data from the pilot plant. By gaining this understanding of the dynamic behavior, the technical and financial performance of PCC can be optimised.
Dynamic modelling and optimisation of flexible operation in post-combustion CO2 capture plants - A review
- Authors: Bui, Mai , Gunawan, Indra , Verheyen, Vincent , Feron, Paul , Meuleman, Erik , Adeloju, Samuel
- Date: 2014
- Type: Text , Journal article , Review
- Relation: Computers and Chemical Engineering Vol. 61, no. (2014), p. 245-265
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- Description: The drive for efficiency improvements in post-combustion CO2 capture (PCC) technologies continues to grow, with recent attention being directed towards flexible operation of PCC plants. However, there is a lack of research into the effect of process disturbances when operating flexibly, justifying a need for validated dynamic models of the PCC process. This review critically examines the dynamic PCC process models developed to date and analyses the different approaches used, as well as the model complexity and their limitations. Dynamic process models coupled with economic analysis will play a crucial role in process control and optimisation. Also discussed are key areas that need to be addressed in future dynamic models, including the lack of reliable dynamic experimental data for their validation, development of feasible flexible operation and process control strategies, as well as process optimisation by integrating accurate process models with established economic analysis tools. © 2013 Elsevier Ltd.
Flexible operation of CSIRO's post-combustion CO2 capture pilot plant at the AGL Loy Yang power station
- Authors: Bui, Mai , Gunawan, Indra , Verheyen, Vincent , Feron, Paul , Meuleman, Erik
- Date: 2016
- Type: Text , Journal article
- Relation: International Journal of Greenhouse Gas Control Vol. 48, no. (May 2016), p. 188-203
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- Description: Flexible operation has the potehtial to significantly improve the economic viability of post-combustion CO2 capture (PCC). However, the impact of disturbances from flexible operation of the PCC process is unclear. The purpose of this study was to investigate the effects of flexible operation in a PCC pilot plant by implementing step-changes for improved dynamic data reliability. The flexible operation campaign was conducted at the CSIRO PCC pilot plant at AGL Loy Yang using monoethanolamine (MEA) absorbent. The pilot plant was operated under a broad range of transient conditions (changing flue gas flow, liquid absorbent flow and steam pressure) to capture the dynamics of a PCC process during flexible operation. The study demonstrated that the dynamics of flue gas flow rate was faster than absorbent flow rate. The greatest CO2 removal% was achieved at the lowest flue gas flow rate or at the highest absorbent flow rate; however, the latter provided improved energy efficiency. The steam pressure parameter could adjust the temperature of all columns simultaneously which can be used to compensate for effects from ambient conditions or heat losses. These results verify the technical feasibility of flexible PCC operation and provide a suitable dataset for dynamic model validation. (C) 2015 Elsevier Ltd. All rights reserved.
Dynamic operation of liquid absorbent-based post-combustion CO2 capture plants
- Authors: Bui, Mai , Gunawan, Indra , Verheyen, Vincent , Meuleman, Erik
- Date: 2016
- Type: Text , Book chapter
- Relation: Absorption-Based Post-Combustion Capture of Carbon Dioxide (Woodhead Publishing Series in Energy) Chapter 24 p. 589-621
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- Description: Dynamic (or flexible) operation has been proposed as a strategy to reduce the impact of integrating post-combustion CO2 capture (PCC) into power plants. It provides a means for counteracting ongoing variations in the composition of flue gas and absorbent, and also accounts for dynamic variations in carbon and electricity pricing, and electricity demand. For example, in periods of low energy demand, electricity prices will be lower and capture rates may be ramped up accordingly. During high-demand periods, electricity prices will be higher, and capture may be turned down or switched off completely. Flexible PCC operation can also coordinate the balance between electricity demand and legislative requirements for CO2 emission reductions, to improve the economic feasibility of PCC. However, dynamic PCC operation imposes process disturbances when the CO2 capture plant is ramped up or turned down. The immediate and long-term effects of these disturbances are unclear. Thus, recent research is now focusing on the feasibility of flexible PCC operation on a technical basis. Dynamic modeling and pilot plant studies will improve our understanding of dynamic PCC behavior and enable process control to be optimized. © 2016 Elsevier Ltd All rights reserved.
Dynamic operation of post-combustion CO2 capture in Australian coal-fired power plants
- Authors: Bui, Mai , Gunawan, Indra , Verheyen, Vincent , Meuleman, Erik , Feron, Paul
- Date: 2014
- Type: Text , Conference paper
- Relation: 12th International Conference on Greenhouse Gas Control Technologies, GHGT 2014 p. 1368-1375
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- Description: Flexible operation of post-combustion CO2 capture (PCC) plants can improve efficiency through coordinating the balance between consumer demands for electricity and CO2 emission reductions. This strategy however, will impose process disturbances and the immediate and long term impact is unclear. There is a justified need for the development of accurate dynamic PCC models, as well as practical experience in dynamic operation of PCC pilot plants. This paper presents CSIRO PCC pilot plant data from the 2012 and 2013 dynamic campaigns using MEA solvent. The step-change approach to dynamic plant operation was implemented and the use of density meters to instantaneously measure CO2 loading instantaneously was investigated.