Annual Report: Carbon Capture Simulation Initiative (CCSI) (30 September 2012)

Miller, David C.; Syamlal, Madhava; Cottrell, Roger; Kress, Joel D.; Sun, Xiubao; Sundaresan, Sankaran; Sahinidis, Nikolaos V.; Zitney, Stephen E.; Bhattacharyya, D.; Agarwal, D.; Tong, Charles; Lin, Guang; Dale, Crystal Buchanan; Engel, Dave; Calafiura, P.; Beattie, K.; Shinn, John H.

doi:10.2172/1098237

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To analyze the performance of a counter‐current moving bed for commercial‐scale CO 2 capture applications, the DOE's Carbon Capture Simulation Initiative (CCSI) is using modeling and simulation to investigate tradeoffs between various design alternatives, process operating conditions, and sorbent types. CCSI is a partnership among DOE laboratories, industry, and universities that is developing, demonstrating, and deploying a suite of computations tools to be used by industry to accelerate the deployment of post‐combustion carbon capture technologies in power generation applications . Recently, CCSI researchers have developed a general one‐dimensional, three region model for a solid sorbent‐based CO 2 capture process using a bubbling fluidized bed adsorber reactor .…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of a moving bed reactor for post‐combustion CO₂ capture

et al. 2016

Self Cite

View full text Add to dashboard Cite

A mathematical model for a moving bed reactor with embedded heat exchanger has been developed for application to solid sorbent-based capture of carbon dioxide from flue gas emitted by coal-fired power plants. The reactor model is one-dimensional, non-isothermal, and pressure-driven. The two-phase (gas and solids) model includes rigorous kinetics and heat and mass transfer between the two phases. Flow characteristics of the gas and solids in the moving bed are obtained by analogy with correlations for fixed and fluidized bed systems. From the steady-state perspective, this work presents the impact of key design variables that can be used for optimization. From the dynamic perspective, the article shows transient profiles of key outputs that should be taken into account while designing an effective control system. In addition, the article also presents performance of a model predictive controller for the moving bed regenerator under process constraints.

show abstract

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of a moving bed reactor for post‐combustion CO₂ capture

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

Modeling average gas–solid heat transfer using particle-resolved direct numerical simulation

Sun

Tenneti

Subramaniam

2015

International Journal of Heat and Mass Transfer

111

View full text Add to dashboard Cite

Particle-resolved direct numerical simulation Average fluid temperature equation Two-fluid model Fixed assembly of particles Nusselt number correlation for gas-solid flow a b s t r a c tThe purpose of this work is to develop gas-solid heat transfer models using Particle-resolved Direct Numerical Simulations (PR-DNS). Gas-solid heat transfer in steady flow through a homogeneous fixed assembly of monodisperse spherical particles is simulated using the Particle-resolved Uncontaminated-fluid Reconcilable Immersed Boundary Method (PUReIBM). PR-DNS results are obtained over a range of mean slip Reynolds number (1-100) and solid volume fraction (0.1-0.5). Fluid heating is important in gas-solid heat transfer, especially in dense low-speed flows, and the PUReIBM formulation accounts for this through a heat ratio which appears in the thermal self-similarity boundary condition that ensures thermally fully-developed flow. The average volumetric interphase heat transfer rate (average gas-solid heat transfer) that appears in the average fluid temperature evolution equation is quantified and modeled using PR-DNS results. The Nusselt number corresponding to average gas-solid heat transfer is obtained from PR-DNS data, and compared with Gunn's Nusselt number correlation (Gunn, 1978). A new Nusselt number correlation is proposed that fits the PR-DNS data more closely and also captures the Reynolds number dependence more accurately. It is shown that the use of Nusselt number correlations based on the average bulk fluid temperature in the standard two-fluid model for gas-solid heat transfer is inconsistent, and results in up to 35% error in prediction of the average gas-solid heat transfer. Using PR-DNS data, a consistent two-fluid model is proposed that improves the predicted average gas-solid heat transfer.

show abstract

Annual Report: Carbon Capture Simulation Initiative (CCSI) (30 September 2012)

Cited by 2 publications

References 1 publication

Mathematical modeling of a moving bed reactor for post‐combustion CO₂ capture

Mathematical modeling of a moving bed reactor for post‐combustion CO₂ capture

Modeling average gas–solid heat transfer using particle-resolved direct numerical simulation

Contact Info

Product

Resources

About

Annual Report: Carbon Capture Simulation Initiative (CCSI) (30 September 2012)

Cited by 2 publications

References 1 publication

Mathematical modeling of a moving bed reactor for post‐combustion CO2 capture

Mathematical modeling of a moving bed reactor for post‐combustion CO2 capture

Modeling average gas–solid heat transfer using particle-resolved direct numerical simulation

Contact Info

Product

Resources

About

Mathematical modeling of a moving bed reactor for post‐combustion CO₂ capture

Mathematical modeling of a moving bed reactor for post‐combustion CO₂ capture