Numerical analysis of CO2 capture process with potassium-based sorbent in a three-dimensional fluidized bed. (15th October 2022)
- Record Type:
- Journal Article
- Title:
- Numerical analysis of CO2 capture process with potassium-based sorbent in a three-dimensional fluidized bed. (15th October 2022)
- Main Title:
- Numerical analysis of CO2 capture process with potassium-based sorbent in a three-dimensional fluidized bed
- Authors:
- Liu, Xiaohuan
Yang, Shiliang
Hu, Jianhang
Bao, Guirong
Wang, Hua - Abstract:
- Abstract: CO2 capture process with potassium-based sorbents in fluidized beds is an emerging technology in industries, yet the in-furnace solid transportation and thermal characteristics are still lacking. In this work, the CO2 process capture with K2 CO3 adsorbents in a three-dimensional fluidized bed is numerically explored using a recently developed reactive multiphase particle-in-cell model under the Eulerian-Lagrangian framework. After model validation, the spatial distribution of K2 CO3 particles and the effect of key operating parameters on the flow and thermal behaviours in the fluidized bed are investigated. The results indicate that elevating the particle size distribution enhances CO2 capture and increases the absorbent temperature due to the extended residence time of K2 CO3 particles and the resulting enhanced exothermic carbonation reactions. Enlarging the inlet gas velocity increases the gas concentration in the reactor outlet because a part of CO2 without enough time to react with K2 CO3 particles is entrained out of the reactor by bubbles with the increase of gas velocity, indicating the optimal inlet gas velocity (0.71 m/s) for CO2 capture using K2 CO3 adsorbents in this fluidized bed. The particle temperature rises with enlarging inlet gas velocity due to enhanced exothermic carbonation reactions. The results obtained can help to understand the regularity of CO2 capture process based on K2 CO3 absorbents in fluidized beds. Graphical abstract: Image 1Abstract: CO2 capture process with potassium-based sorbents in fluidized beds is an emerging technology in industries, yet the in-furnace solid transportation and thermal characteristics are still lacking. In this work, the CO2 process capture with K2 CO3 adsorbents in a three-dimensional fluidized bed is numerically explored using a recently developed reactive multiphase particle-in-cell model under the Eulerian-Lagrangian framework. After model validation, the spatial distribution of K2 CO3 particles and the effect of key operating parameters on the flow and thermal behaviours in the fluidized bed are investigated. The results indicate that elevating the particle size distribution enhances CO2 capture and increases the absorbent temperature due to the extended residence time of K2 CO3 particles and the resulting enhanced exothermic carbonation reactions. Enlarging the inlet gas velocity increases the gas concentration in the reactor outlet because a part of CO2 without enough time to react with K2 CO3 particles is entrained out of the reactor by bubbles with the increase of gas velocity, indicating the optimal inlet gas velocity (0.71 m/s) for CO2 capture using K2 CO3 adsorbents in this fluidized bed. The particle temperature rises with enlarging inlet gas velocity due to enhanced exothermic carbonation reactions. The results obtained can help to understand the regularity of CO2 capture process based on K2 CO3 absorbents in fluidized beds. Graphical abstract: Image 1 Highlights: CO2 process capture with K2 CO3 sorbents in fluidized bed explored. Elevating the particle size distribution of K2 CO3 enhances the CO2 capture. Intensive heat exchange of K2 CO3 particles close to bed inlet observed. … (more)
- Is Part Of:
- Energy. Volume 257(2022)
- Journal:
- Energy
- Issue:
- Volume 257(2022)
- Issue Display:
- Volume 257, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 257
- Issue:
- 2022
- Issue Sort Value:
- 2022-0257-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10-15
- Subjects:
- CO2 capture -- Fluidized bed -- K2CO3 solid sorbents -- Multiphase particle-in-cell -- Computational fluid dynamics
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2022.124637 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23358.xml