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Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method

Year 2025, Early View, 1 - 1
https://doi.org/10.35378/gujs.1433792

Abstract

The aim of this study is the determination of effects of catalysts components on the methane total oxidation activities of zeolite supported catalysts. For this reason, SAPO34 and Zeolite 13X were used as zeolite support. PdO, CeO2, ZrO2 catalysts components were used as active component and as promoter component. Catalysts were prepared by using the impregnation method. Characteristic properties were determined by using X-Ray Diffraction, N2 adsorption/desorption and Scanning Electron Microscopy analysis. According the characteristic results, to obtain high surface area SAPO34 should be chosen as support. According to the total methane oxidation catalytic activity studies SAPO34 supported catalysts were more active than Zeolite 13X supported catalysts. Through catalytic activity studies, the type of promoter and support component most compatible with PdO was determined. It was found that PdO-ZrO2/SAPO34 catalyst is determined as the most active catalyst. Based on the results, it can be said that the internal interaction between PdO and ZrO2 is better than the internal interaction between PdO - CeO2, and that the PdO -CeO2-ZrO2 pair is more compatible for methane oxidation in the support structure.

Ethical Statement

No conflict of interest was declared by the authors.

Project Number

Gazi University BAP 06/2020-06

Thanks

As the project team, we would like to thank Gazi University Scientific Research Unit for their financial support with the project numbered BAP 06/2020-06.

References

  • [1] Zames, G., “Feedback and optimal sensitivity: Model reference transformations, Multiplicative seminorms and approximate inverses”, IEEE Transactions on Automatic Control, 26(2): 301-20, (1981).
  • [2] Boyd, S., Balakrishnan, V., Kamamba, P., “A bisection method for computing the H_∞-norm of a transfer matrix and related problems”, Mathematics of Control, Signals and Systems, 2(3): 207-19, (1989).
  • [3] Kuster, G. E., “H-infinity norm calculation via a state-space formulization”, Master Thesis Faculty of the Virginia Polytechnique Institute and State University, (2012).
  • [4] Gunduz, H., Celik. E., “H_∞-norm evaluation for a transfer matrix via bisection algorithm”, Thermal Science, 26 (2): 745-51, (2022).
  • [5] Bruinsma, N. A., Steinbuch, M., “A fast algorithm to compute the H_∞-norm of a transfer function matrix”, System and Control Letters, 14(4): 287-93, (1990).
  • [6] James, D., Kresimir. V., “Jacobi's method is more accurate than QR”, Computer Science Department Technology Reports, Courant Institute, New York, (1989).
  • [7] Haider, S., Ghafoor, A., Imran, M., Mumtaz, F., “Techniques for computation of frequency limited H_∞-norm”, IOP Conference Series: Earth and Environmental Science, 114: 012-013, (2018).
  • [8] Liu, Y., Anderson, B., “Singular perturbation approximation of balanced systems”, International Journal of Control, 50: 1379-1405, (1989).
  • [9] Suman, S. K., Kumar, A., “A reduction of large-scale dynamical systems by extended balanced singular perturbation approximation”, International Journal of Mathematical, Engineering and Management Sciences, 5(5): 939-56, (2020).
  • [10] Gajic, Z., Lelic, M., “Improvement of system order reduction via balancing using the method of singular perturbations”, Automatica, 37(11): 1859-65, (2001).
  • [11] Moore, B., “Principal component analysis in linear systems: Controllability, observability and model reduction”, IEEE Transactions on Automatic Control, 26(1): 17-32, (1981).
  • [12] Pernebo, L., Silverman, L., “Model reduction via balanced state-space representations”, Institute of Electrical and Electronic Engineering Transactions on Automatic Control, 27(2): 382-87, (1989).
  • [13] Enns, D. F., “Model reduction with balanced realization: An error bound and a frequency weighted generalization”, The 23rd Institute of Electrical and Electronic Engineering Conference on Decision and Control, 127-32, (1984).
  • [14] Imran, M, Ghafoor, A, Sreeram, V., “A frequency weighted model order reduction technique and error bounds”, Automatica, 50(12): 3304-3309, (2014).
  • [15] Kokotovic, P.V., O’Malley, R.E. and Sannuti, P., “Singular perturbations and order reduction in control theory-An overview”, Automatica, 12(2): 123–132, (1976).
  • [16] N'Diaye, M., Hussain, S., Suliman, I. M. A., Toure, L., “Robust uncertainty alleviation by H-infinity analysis and control for singularity perturbed systems with disturbances”, Journal of Xi'an Shioyu University, Natural Science Edition, 19(01): 728-37, (2023).
  • [17] Datta, B. N., Numerical methods for linear control systems (1), London, New York. Academic Press, (2004).
  • [18] Antoulas, A. C., Benner, P., Feng. L., “Model reduction by iterative error system approximation”, Mathematical and Computer Modelling of Dynamical Systems, 24(2): 103–18, (2018).
  • [19] Saif, M., Guan. Y., “Decentralized state estimation in large-scale interconnected dynamical systems”, Automatica, 28(1): 215-19, (1992).
Year 2025, Early View, 1 - 1
https://doi.org/10.35378/gujs.1433792

Abstract

Project Number

Gazi University BAP 06/2020-06

References

  • [1] Zames, G., “Feedback and optimal sensitivity: Model reference transformations, Multiplicative seminorms and approximate inverses”, IEEE Transactions on Automatic Control, 26(2): 301-20, (1981).
  • [2] Boyd, S., Balakrishnan, V., Kamamba, P., “A bisection method for computing the H_∞-norm of a transfer matrix and related problems”, Mathematics of Control, Signals and Systems, 2(3): 207-19, (1989).
  • [3] Kuster, G. E., “H-infinity norm calculation via a state-space formulization”, Master Thesis Faculty of the Virginia Polytechnique Institute and State University, (2012).
  • [4] Gunduz, H., Celik. E., “H_∞-norm evaluation for a transfer matrix via bisection algorithm”, Thermal Science, 26 (2): 745-51, (2022).
  • [5] Bruinsma, N. A., Steinbuch, M., “A fast algorithm to compute the H_∞-norm of a transfer function matrix”, System and Control Letters, 14(4): 287-93, (1990).
  • [6] James, D., Kresimir. V., “Jacobi's method is more accurate than QR”, Computer Science Department Technology Reports, Courant Institute, New York, (1989).
  • [7] Haider, S., Ghafoor, A., Imran, M., Mumtaz, F., “Techniques for computation of frequency limited H_∞-norm”, IOP Conference Series: Earth and Environmental Science, 114: 012-013, (2018).
  • [8] Liu, Y., Anderson, B., “Singular perturbation approximation of balanced systems”, International Journal of Control, 50: 1379-1405, (1989).
  • [9] Suman, S. K., Kumar, A., “A reduction of large-scale dynamical systems by extended balanced singular perturbation approximation”, International Journal of Mathematical, Engineering and Management Sciences, 5(5): 939-56, (2020).
  • [10] Gajic, Z., Lelic, M., “Improvement of system order reduction via balancing using the method of singular perturbations”, Automatica, 37(11): 1859-65, (2001).
  • [11] Moore, B., “Principal component analysis in linear systems: Controllability, observability and model reduction”, IEEE Transactions on Automatic Control, 26(1): 17-32, (1981).
  • [12] Pernebo, L., Silverman, L., “Model reduction via balanced state-space representations”, Institute of Electrical and Electronic Engineering Transactions on Automatic Control, 27(2): 382-87, (1989).
  • [13] Enns, D. F., “Model reduction with balanced realization: An error bound and a frequency weighted generalization”, The 23rd Institute of Electrical and Electronic Engineering Conference on Decision and Control, 127-32, (1984).
  • [14] Imran, M, Ghafoor, A, Sreeram, V., “A frequency weighted model order reduction technique and error bounds”, Automatica, 50(12): 3304-3309, (2014).
  • [15] Kokotovic, P.V., O’Malley, R.E. and Sannuti, P., “Singular perturbations and order reduction in control theory-An overview”, Automatica, 12(2): 123–132, (1976).
  • [16] N'Diaye, M., Hussain, S., Suliman, I. M. A., Toure, L., “Robust uncertainty alleviation by H-infinity analysis and control for singularity perturbed systems with disturbances”, Journal of Xi'an Shioyu University, Natural Science Edition, 19(01): 728-37, (2023).
  • [17] Datta, B. N., Numerical methods for linear control systems (1), London, New York. Academic Press, (2004).
  • [18] Antoulas, A. C., Benner, P., Feng. L., “Model reduction by iterative error system approximation”, Mathematical and Computer Modelling of Dynamical Systems, 24(2): 103–18, (2018).
  • [19] Saif, M., Guan. Y., “Decentralized state estimation in large-scale interconnected dynamical systems”, Automatica, 28(1): 215-19, (1992).
There are 19 citations in total.

Details

Primary Language English
Subjects Catalytic Activity
Journal Section Research Article
Authors

Filiz Balıkçı Derekaya 0000-0001-5985-6872

Bestegül Horasan 0009-0001-3715-0470

Project Number Gazi University BAP 06/2020-06
Early Pub Date September 26, 2024
Publication Date
Submission Date February 9, 2024
Acceptance Date June 27, 2024
Published in Issue Year 2025 Early View

Cite

APA Balıkçı Derekaya, F., & Horasan, B. (2024). Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method. Gazi University Journal of Science1-1. https://doi.org/10.35378/gujs.1433792
AMA Balıkçı Derekaya F, Horasan B. Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method. Gazi University Journal of Science. Published online September 1, 2024:1-1. doi:10.35378/gujs.1433792
Chicago Balıkçı Derekaya, Filiz, and Bestegül Horasan. “Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method”. Gazi University Journal of Science, September (September 2024), 1-1. https://doi.org/10.35378/gujs.1433792.
EndNote Balıkçı Derekaya F, Horasan B (September 1, 2024) Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method. Gazi University Journal of Science 1–1.
IEEE F. Balıkçı Derekaya and B. Horasan, “Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method”, Gazi University Journal of Science, pp. 1–1, September 2024, doi: 10.35378/gujs.1433792.
ISNAD Balıkçı Derekaya, Filiz - Horasan, Bestegül. “Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method”. Gazi University Journal of Science. September 2024. 1-1. https://doi.org/10.35378/gujs.1433792.
JAMA Balıkçı Derekaya F, Horasan B. Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method. Gazi University Journal of Science. 2024;:1–1.
MLA Balıkçı Derekaya, Filiz and Bestegül Horasan. “Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method”. Gazi University Journal of Science, 2024, pp. 1-1, doi:10.35378/gujs.1433792.
Vancouver Balıkçı Derekaya F, Horasan B. Determination Of The Effects Of Catalyst Components On The Total Oxidation Of Methane In Zeolite Supported Catalysts Prepared By The Impregnation Method. Gazi University Journal of Science. 2024:1-.