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
- Full Text: false
- Reviewed:
- 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.
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.