Comparative Study of Gas and Liquid Flow in Packed Beds Using Phase‐Contrast MRI
This work presents applications of phase‐contrast magnetic resonance imaging (MRI) to investigate fluid flow fields and temperature in packed beds. Comparison of ethane (C2H6) gas flow with that of water flow is done at similar flow conditions. The temperature of water is also measured using MRI.
Maitreyi Sangal +4 more
wiley +1 more source
Oxidative Dry Reforming of Methane in a Reactor with a Porous Membrane Catalyst. [PDF]
Tarasenko M +6 more
europepmc +1 more source
Techno‐Economic Analysis of Methanol Production From Steel Mill Gases
A techno‐economic analysis for the synthesis of methanol from steel mill gases is carried out. Four different process concepts are defined and analyzed. The analysis yields levelized cost of methanol estimates between €1130 and €1419 t−1. Sensitivity analyses identify hydrogen production as the largest contributor to cost.
Lars Paschke
wiley +1 more source
<i>Operando</i> XPS studies of precisely size-selected Pd nano-catalysts for methane oxidation.
Large AI +11 more
europepmc +1 more source
Deep Coal Reservoirs' Ultimate Methane Sorption Capacity: Constraints Imposed by Multiscale Pore Networks and Fractal Geometry. [PDF]
Zhang Y +5 more
europepmc +1 more source
Analysis of Radial Heat Transfer in Cooled Fixed‐Bed Reactors by One‐ and Two‐Dimensional Models
Exothermic fixed‐bed reactors are analyzed using 1D and 2D models. Radial temperature profiles from the 2D model enable optimization of the 1D approach via adjusted overall heat transfer coefficient. Derived correlations improve prediction accuracy, whereas thermal runaway behavior and model sensitivity are evaluated. ABSTRACT Exothermic reactions in a
Cora Bischoff, Andreas Jess
wiley +1 more source
Steering Bioelectrochemical CO<sub>2</sub> Reduction Toward Methanogens Suppression and Acetogen Bioaugmentation. [PDF]
Ferretti J, Marchetti A, Zeppilli M.
europepmc +1 more source
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source
Advancing sustainable thermal power plants: A thermodynamic-based condition monitoring model for control valves in gas turbines under thermal fluctuations. [PDF]
Hossein MA +2 more
europepmc +1 more source
Abstract The objective of this work is to demonstrate that the inclusion of an up‐flow anaerobic sludge bed (UASB reactor) within an industrial wastewater treatment plant reduces the plant's investment and operating costs compared to a system based solely on conventional complete‐mix activated sludge (CMAS), operating under the same design principles ...
Juan Manuel Morgan‐Sagastume +1 more
wiley +1 more source

