scispace - formally typeset
D

Dorian Marx

Researcher at ETH Zurich

Publications -  13
Citations -  417

Dorian Marx is an academic researcher from ETH Zurich. The author has contributed to research in topics: Adsorption & Pressure swing adsorption. The author has an hindex of 9, co-authored 13 publications receiving 329 citations.

Papers
More filters
Journal ArticleDOI

Adsorption equilibrium of binary mixtures of carbon dioxide and nitrogen on zeolites ZSM-5 and 13X

TL;DR: In this article, an empirical extension of the Sips isotherm and the application of ideal adsorbed solution theory (IAST) were used to predict the binary data using two approaches.
Journal ArticleDOI

Temperature Swing Adsorption for Postcombustion CO2 Capture: Single- and Multicolumn Experiments and Simulations

TL;DR: In this paper, a mathematical model used to describe cyclic adsorption processes is calibrated and validated for the simulation of temperature swing adaption (TSA) processes applied to the capture of CO2 from a model flue gas (CO2/N2) using zeolite 13X as sorbent material.
Journal ArticleDOI

Precombustion CO2 Capture by Pressure Swing Adsorption (PSA): Comparison of Laboratory PSA Experiments and Simulations

TL;DR: In this paper, pressure swing adsorption (PSA) experiments are carried out in a 2-column laboratory setup using activated carbon, where an equimolar CO2/H2 mixture is used.
Journal ArticleDOI

Temperature Swing Adsorption for the Recovery of the Heavy Component: An Equilibrium-Based Shortcut Model

TL;DR: In this article, a shortcut model is developed for a four-step cycle aimed at recovering the more retained component at high purity from a binary mixture, e.g. CO2 from CO2/N2.
Journal ArticleDOI

An Experimental and Modeling Study of the Adsorption Equilibrium and Dynamics of Water Vapor on Activated Carbon

TL;DR: In this paper, the adsorption of water vapor on a commercial activated carbon is studied by means of static and dynamic measurements, and two customized setups are used, which are able to deal with the challenges associated with adaption measurements under humid conditions.