Streamlining the estimation of kinetic parameters using periodic reaction conditions: the methanol-to-hydrocarbon reaction as a case study
KAUST DepartmentPhysical Science and Engineering (PSE) Division
Embargo End Date2023-01-25
Permanent link to this recordhttp://hdl.handle.net/10754/675141
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AbstractReducing the experimental time required to obtain a robust kinetic model with reliable kinetic parameters has been a long-standing objective in reaction engineering. In the present study, we compare the kinetic modeling of two sets of data obtained using periodic reaction conditions (PRC) and stationary reaction conditions (SRC). As a case study, we use the well-known methanol-to-hydrocarbon reaction on HZSM-5 zeolite. The SRC experiments are conducted with a temperature of 425−475 °C, a total pressure of 2.5 bar, a partial pressure for methanol of 1.125 bar, a space time of 0.1−1.5 gcat h molC-1, a initial molar ratio water:methanol of 0–0.66 and 16 h on stream. The PRC experiments involve sinusoidal variation in the methanol and water flowrates of 135 ± 88 µL min-1 and 20 ± 20 µL min-1, respectively, with a period of 16 h or sinusoidal variation in the temperature of 450 ± 25 °C with periods of 8 and 16 h. Several strategies are then used in fitting the kinetic parameters of five models. We obtain relatively similar results in terms of model discrimination, the parameters, and confidence intervals with a cumulative experimental time of 64 h on stream under the PRC compared with 192 h on stream under the SRC, a reduction of 67% in the experimental time.
CitationVicente, H., Gayubo, A. G., Aguayo, A. T., & Castaño, P. (2022). Streamlining the estimation of kinetic parameters using periodic reaction conditions: the methanol-to-hydrocarbon reaction as a case study. Chemical Engineering Journal, 134800. doi:10.1016/j.cej.2022.134800
SponsorsThis work was possible thanks to the financial support of the Ministry of Economy, Industry and Competitiveness of the Spanish Government (Project CTQ2016-79646-P, co-founded with ERDF funds), the Basque Government (Project IT912-16) and by King Abdullah University of Science and Technology (KAUST).
JournalChemical Engineering Journal