A CFD-based evaluation of selective non-catalytic reduction of nitric oxide in iron ore grate-kiln plants

Burström, Per; Antos, Dorota; Lundström, T. Staffan; Marjavaara, B. Daniel

doi:10.1504/pcfd.2015.067327

Cited by 10 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simulations were performed using Ansys CFX 15.0 commercial solver on 116 cores on a 64-bit Linux cluster resulting in total CPU running time of 600 hours (25 days) in a similar manner as done for a number of applications e.g., (Andersson et al, 2014;Burström et al, 2015;Larsson et al, 2015a,b). Some representative quantities such as axial velocities at certain points in the cyclone body, static and total pressures, positive and negative mass flow rates at different cut planes and pressure drop were monitored.…”

Section: Selection Of the Time Step Convergence Criteria And Other Smentioning

confidence: 99%

Effects of the inlet angle on the flow pattern and pressure drop of a cyclone with helical-roof inlet

Misiulia

Andersson

Lundström

2015

Chemical Engineering Research and Design

View full text Add to dashboard Cite

Section: Selection Of the Time Step Convergence Criteria And Other Smentioning

confidence: 99%

Effects of the inlet angle on the flow pattern and pressure drop of a cyclone with helical-roof inlet

Misiulia

Andersson

Lundström

2015

Chemical Engineering Research and Design

View full text Add to dashboard Cite

“…In the work by Burström et al [4,5] a typical plot of I at the inlet of the bed in the PH and TPH-zone yielded a variation up Fig. 22 Snap shots of the temperature distribution as derived from the discrete model for uneven temperature to 80% as can be seen in Fig.…”

Section: Boundary Conditions and Simulation Settingsmentioning

confidence: 96%

“…Previous work has been conducted to study fluid dynamic phenomena in the traveling grate zone of a grate-kiln plant [4,5] as well as in rotary kiln [23][24][25]. Of special interest is how the incoming process gas, leakage, and the detailed composition of the pellet bed influence the heat transfer through the bed.…”

Section: Introductionmentioning

confidence: 99%

Modelling heat transfer during flow through a random packed bed of spheres

et al. 2017

Self Cite

View full text Add to dashboard Cite

Heat transfer in a random packed bed of monosized iron ore pellets is modelled with both a discrete three-dimensional system of spheres and a continuous Computational Fluid Dynamics (CFD) model. Results show a good agreement between the two models for average values over a cross section of the bed for an even temperature profiles at the inlet. The advantage with the discrete model is that it captures local effects such as decreased heat transfer in sections with low speed. The disadvantage is that it is computationally heavy for larger systems of pellets. If averaged values are sufficient, the CFD model is an attractive alternative that is easy to couple to the physics up-and downstream the packed bed. The good agreement between the discrete and continuous model furthermore indicates that the discrete model may be used also on non-Stokian flow in the transitional region between laminar and turbulent flow, as turbulent effects show little influence of the overall heat transfer rates in the continuous model.

show abstract

“…They also showed that a nonuniform droplet size distribution is beneficial to the mixing. Burström et al (2015) also used the Standard k- model to investigate the performance of an SNCR process for iron ore grate-kiln plants, where very high temperatures may be attained. They concluded that the temperature had a larger influence on the NO reduction than the residence time.…”

Section: Introductionmentioning

confidence: 99%

Reactor modelling assessment for urea-SNCR applications

Finnerman

Razmjoo

Guo

et al. 2017

HFF

View full text Add to dashboard Cite

Purpose-The work investigates the effects of neglecting, modeling or partly resolving turbulent fluctuations of velocity, temperature and concentrations on the predicted turbulencechemistry interaction in urea-SNCR systems. Design/methodology/approach-Numerical predictions of the NO conversion efficiency in an industrial urea-SNCR system are compared to experimental data. Reactor models of varying complexity are assessed, ranging from one-dimensional ideal reactor models to stateof-the-art CFD simulations based on the DES approach. The models employ the same reaction mechanism, but differ in the degree to which they resolve the turbulent fluctuations of the gas phase. A methodology for handling of unknown experimental data with regard to providing adequate boundary conditions is also proposed. Findings-One-dimensional reactor models may be useful for a first quick assessment of urea-SNCR system performance. It is critical to account for heat losses, if present, due to the significant sensitivity of the overall process to temperature. The most comprehensive DES setup evaluated is associated with approximately two orders of magnitude higher computational cost than the conventional RANS-based simulations. For studies that require a large number of simulations (e.g. optimizations or handling of incomplete experimental data), the less costly approaches may be favored with a tolerable loss of accuracy. Originality/value-Novel numerical and experimental results are presented to elucidate the role of turbulent fluctuations on the performance of a complex, turbulent, reacting multiphase flow.

show abstract

A CFD-based evaluation of selective non-catalytic reduction of nitric oxide in iron ore grate-kiln plants

Cited by 10 publications

References 17 publications

Effects of the inlet angle on the flow pattern and pressure drop of a cyclone with helical-roof inlet

Effects of the inlet angle on the flow pattern and pressure drop of a cyclone with helical-roof inlet

Modelling heat transfer during flow through a random packed bed of spheres

Reactor modelling assessment for urea-SNCR applications

Contact Info

Product

Resources

About