A fast methodology to rank adsorbents for CO2 capture with temperature swing adsorption

Autor: A. Gutierrez-Ortega, R. Nomen, J. Sempere, J.B. Parra, M.A. Montes-Morán, R. Gonzalez-Olmos
Přispěvatelé: Montes Morán, Miguel Ángel, Parra Soto, José Bernardo
Rok vydání: 2022
Předmět:
Zdroj: Chemical Engineering Journal. 435:134703
ISSN: 1385-8947
DOI: 10.1016/j.cej.2022.134703
Popis: A new methodology for evaluating different commercial adsorbents for CO2 capture using temperature swing adsorption (TSA) has been developed. The screening method is based on thermogravimetric analysis (TGA) combined with differential scanning calorimetry (DSC) to study the cyclic behavior of adsorbents paying attention on CO2 production and desorption energy. CO2 production and desorption energy were determined for commercial zeolites using a simulated flue gas (15% CO2 / 85% N2 v/v). Binderless zeolites had better CO2 production and lower desorption energy on TSA cycles than their analog binder-based zeolites. The zeolite with the highest CO2 production (0.077 kgCO2/kgads٠h) and the lowest desorption energy (0.56 kWh/kgCO2) was the 13XBL binderless zeolite. On the other side, the 5A zeolites (binder and binderless) had the lowest CO2 production (0.046–0.054 kgCO2/kgads٠h) and the highest desorption energy (0.78–0.93 kWh/kgCO2) among zeolites. Results obtained demonstrated that the proposed methodology is a good basis for the fast selection of the best adsorbent and for the selection of the adsorption and desorption cycling temperatures in CO2 capture processes through TSA.
The authors gratefully acknowledge the company GasN2 for helping with the experimental part of the work and the Knowledge and Enterprise Department of the Catalan government through its Industrial doctorate program to support this research project (AGAUR, Doctorats Industrials 2014 DI-057). The authors also would like to acknowledge the student Adrià Espiell for helping in the laboratory with the TGA and DSC measurements. GESPA has been recognized as Consolidated Research Group by the Catalan Government with code 2017-SGR-10
Databáze: OpenAIRE
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