Blar i Fakultet for naturvitenskap (NV) på tidsskrift "Chemical Engineering Science: X"
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Addition of potassium iodide reduces oxidative degradation of monoethanolamine (MEA)
(Peer reviewed; Journal article, 2021)We introduce the addition of stable salts to aqueous MEA as a way of inhibiting oxidative degradation reactions. We performed oxidative degradation studies in aqueous MEA containing sodium chloride (NaCl) and potassium ... -
Choked liquid flow in nozzles: crossover from heterogeneous to homogeneous cavitation and insensitivity to depressurization rate
(Peer reviewed; Journal article, 2021)The critical mass flow rate is the maximum flow rate that can pass through a constrained geometry such as a nozzle. For liquid CO2, it has been shown that homogeneous relaxation models systematically underpredict the ... -
The influence of interfacial transfer and film coupling in the modeling of distillation columns to separate nitrogen and oxygen mixtures
(Peer reviewed; Journal article, 2020)Coupling between heat and mass transfer occurs across interfaces and in vapor and liquid films. In this work, we present the first rigorous investigation of the role of these physical phenomena in the mathematical modeling ... -
Kinetics of CO2 absorption into aqueous solutions of 3-dimethylamino-1-propanol and 1-(2-hydroxyethyl)pyrrolidine in the blend with 3-(methylamino)propylamine
(Journal article, 2019)The kinetics of CO2 absorption into unloaded aqueous solutions of 3-dimethylamino-1-propanol (3DMA1P) and 1-(2-hydroxyethyl)pyrrolidine (1-(2HE)PRLD) blended with 3-(methylamino)propylamine (MAPA) were studied in the ... -
Single Drop Breakage in Turbulent Flow: Statistical Data Analysis
(Peer reviewed; Journal article, 2020)To improve breakage models in the population balance framework, single octanol droplet experiments have been performed in a channel flow and recorded by high-speed camera. The study investigates impact of mother drop size ... -
Surrogate modelling of VLE: Integrating machine learning with thermodynamic constraints
(Peer reviewed; Journal article, 2020)An easy-to-implement methodology to develop accurate, fast and thermodynamically consistent surrogate machine learning (ML) models for multicomponent phase equilibria is proposed. The methodology is successfully applied ...