2019
DOI: 10.1016/j.compchemeng.2019.05.007
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Radiation-based model reduction for the optimization of high temperature tube bundle reactors: Synthesis of hydrogen cyanide

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Cited by 3 publications
(9 citation statements)
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“…This model decomposition is advantageous because shadow effects among tubes and associated flow patterns are expected to prevail over axial transport processes for side-fired furnace designs. At first, a purely radiation-based tube bundle furnace model is applied that was developed in a previous study (Liesche and Sundmacher, 2019) where temperature distribution must be assumed (Figure 1C). In the third step, the Navier-Stokes equations for the furnace cross section are solved using a computational fluid dynamics (CFD) model as depicted in Figure 1D.…”
Section: Tube-bundle Furnace Modelmentioning
confidence: 99%
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“…This model decomposition is advantageous because shadow effects among tubes and associated flow patterns are expected to prevail over axial transport processes for side-fired furnace designs. At first, a purely radiation-based tube bundle furnace model is applied that was developed in a previous study (Liesche and Sundmacher, 2019) where temperature distribution must be assumed (Figure 1C). In the third step, the Navier-Stokes equations for the furnace cross section are solved using a computational fluid dynamics (CFD) model as depicted in Figure 1D.…”
Section: Tube-bundle Furnace Modelmentioning
confidence: 99%
“…Based on the single reforming tube simulations, a radiationbased furnace model is adopted for the application of steam reforming (Liesche and Sundmacher, 2019). This twodimensional furnace model is based on two fundamental assumptions for the furnace: convective heat transfer is neglected and two flue gas temperatures-within the bundle and in between the tube bundle and the furnace walls-are required.…”
Section: Radiation-based Furnace Modelmentioning
confidence: 99%
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