TU Berlin

Dynamik & Betrieb techn. AnlagenPublications

Ein rotes Dreieck, darunter drei orangen senkrechten Balken als Symbol für Fakultät 3. Das Symbol befindet sich innerhalb  des kreisförmigen Schriftzuges: Prozesswissenschaften.

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Publications

Following the links below you find a continuously updated publication list of our group. In order to have an overview of our current publications please visit d|b|t|a's page on ResearchGate: Fachgebiet Dynamik und Betrieb technischer Anlagen

Adsorption separation of oxidative coupling of methane effluent gases. Mini-plant scale experiments and modeling
Zitatschlüssel Garcia2019
Autor L. García and Y.-A. Poveda and G. Rodríguez and E. Esche and H.-R. Godini and G. Wozny and J.-U. Repke and Á. Orjuela
Seiten 106 - 118
Jahr 2019
ISSN 1875-5100
DOI https://doi.org/10.1016/j.jngse.2018.11.007
Journal Journal of Natural Gas Science and Engineering
Jahrgang 61
Zusammenfassung This work explored the use of a zeolite molecular sieve as adsorbent material in the separation of effluent gases from an oxidative coupling of methane (OCM) process. The molecular sieve granules were synthesized, characterized, and evaluated as adsorbent material at the mini-plant scale. Dynamic adsorption experiments were performed at different feed temperatures (298, 308, 328?K), with pure and mixed gases (ethylene, ethane, oxygen, nitrogen and carbon dioxide), and at different absolute pressures (2 and 6?bar). The breakthrough curves and the corresponding dynamic temperature profiles from the adsorption system were obtained under the different experimental conditions. According to results pressure swing adsorption can be used as a de-methanizing alternative during the OCM downstream separation, and even as an ethane/ethylene separation alternative. The adsorption capacities for the different gases, per unit mass of adsorbent, at 303?K and 5?bar were: 0.138 kgCO2/kg, 0.094?kg C2H4/kg, 0.082?kgC2H6/kg, and 0.020 kgCH4/kg. A model of the process was implemented within Aspen Adsorption® software, and the transport parameters were adjusted to fit experimental observations. The computer model agreed with experimental results, and it can be used for further process up-scaling and techno-economic evaluation.
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