Results 161 to 170 of about 5,603,988 (271)

Integral Experiments and Magnetic Resonance Imaging of Lab‐Scale Liquid Distributors

open access: yesChemie Ingenieur Technik, EarlyView.
Four lab‐scale liquid distributors were evaluated based on the homogeneity of the resulting liquid distribution. The best‐performing design reduced maldistribution and wall flow compared to a single‐point liquid distribution and remained stable under varying operating conditions, including different gas and liquid loads.
Hannah S. Rennebaum   +4 more
wiley   +1 more source

Development and Validation of a Multipurpose Setup for Synthesis Gas Chemistry

open access: yesChemie Ingenieur Technik, EarlyView.
Validation of a flexible multipurpose setup for synthesis gas reactions under industrially relevant conditions equipped with precise control of temperature, pressure, and gas composition, and multiple online detection methods (IR, GC, QMS, and RAMAN), demonstrated by successful operation of NH3 decomposition, MeOH synthesis, and NH3 synthesis ...
Jan Folke   +4 more
wiley   +1 more source

Techno‐Economic Analysis of Methanol Production From Steel Mill Gases

open access: yesChemie Ingenieur Technik, EarlyView.
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

From Potentiostatic to Galvanostatic Control in Pulsed Electrochemical CO2 Reduction to Ethylene

open access: yesChemie Ingenieur Technik, EarlyView.
A two‐gap flow cell with three‐electrode configuration bridges the gap between H‐cells and industrial zero‐gap electrolyzers. Using ethylene‐selective CO2 reduction on copper as a model reaction, galvanostatic operation shows greater stability than potentiostatic control, whereas charge‐controlled pulsed protocols enable C2H4 selectivity under ...
Carl Eric Hartwig   +7 more
wiley   +1 more source

Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning

open access: yesChemie Ingenieur Technik, EarlyView.
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

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