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Challenges for Selective Catalytic Naphtha Reforming Products Using Response Surface Methodology (RSM)
https://orcid.org/https://orcid.org/0009-0007-5215-6786
https://orcid.org/https://orcid.org/0009-0008-7857-473X
https://orcid.org/https://orcid.org/0009-0009-7965-4923
The prediction of catalytic naphtha reforming products is one of the main challenges issues in oil sector. Investigating continues catalytic reforming (CCR) C5+, C1, C2, C3, and C4 are achieved by using response surface methodology (RSM). The process can be described in terms of several controllable variables which are research octane number (RON), naphthenes and aromatics. In present work, a quadratic polynomial equation for Naphtha C5+, SCFB H2 has been obtained by utilizing RSM and the results were tested by design of experiment (DOE) and ANOVA analysis. The experimental results show good agreement with the predicted model with a yield of C5+ ranging from 77.27 to 109 when the RON is in the range of 68 to 95, naphthenes (vol %) is in the range of 15 to 25 and aromatics (vol %) is in the range of 10 to 30. H2 yield varying from 0 to 1.37 is significantly affected by increasing C5+ and reduced by decreasing RON. The yield of other products is calculated by multiple regression analysis depending on C5+ conversion range 77–100. The yields of other products of reformer (C1, C2, C3, C4) can be calculated from correlation that developed using multiple regression analysis. This case study indicates that the statistical model is useful of CCR.
Challenges for Selective Catalytic Naphtha Reforming Products Using Response Surface Methodology (RSM)
https://orcid.org/https://orcid.org/0009-0007-5215-6786
https://orcid.org/https://orcid.org/0009-0008-7857-473X
https://orcid.org/https://orcid.org/0009-0009-7965-4923
The prediction of catalytic naphtha reforming products is one of the main challenges issues in oil sector. Investigating continues catalytic reforming (CCR) C5+, C1, C2, C3, and C4 are achieved by using response surface methodology (RSM). The process can be described in terms of several controllable variables which are research octane number (RON), naphthenes and aromatics. In present work, a quadratic polynomial equation for Naphtha C5+, SCFB H2 has been obtained by utilizing RSM and the results were tested by design of experiment (DOE) and ANOVA analysis. The experimental results show good agreement with the predicted model with a yield of C5+ ranging from 77.27 to 109 when the RON is in the range of 68 to 95, naphthenes (vol %) is in the range of 15 to 25 and aromatics (vol %) is in the range of 10 to 30. H2 yield varying from 0 to 1.37 is significantly affected by increasing C5+ and reduced by decreasing RON. The yield of other products is calculated by multiple regression analysis depending on C5+ conversion range 77–100. The yields of other products of reformer (C1, C2, C3, C4) can be calculated from correlation that developed using multiple regression analysis. This case study indicates that the statistical model is useful of CCR.
Challenges for Selective Catalytic Naphtha Reforming Products Using Response Surface Methodology (RSM)
https://orcid.org/https://orcid.org/0009-0007-5215-6786
https://orcid.org/https://orcid.org/0009-0008-7857-473X
https://orcid.org/https://orcid.org/0009-0009-7965-4923
The prediction of catalytic naphtha reforming products is one of the main challenges issues in oil sector. Investigating continues catalytic reforming (CCR) C5+, C1, C2, C3, and C4 are achieved by using response surface methodology (RSM). The process can be described in terms of several controllable variables which are research octane number (RON), naphthenes and aromatics. In present work, a quadratic polynomial equation for Naphtha C5+, SCFB H2 has been obtained by utilizing RSM and the results were tested by design of experiment (DOE) and ANOVA analysis. The experimental results show good agreement with the predicted model with a yield of C5+ ranging from 77.27 to 109 when the RON is in the range of 68 to 95, naphthenes (vol %) is in the range of 15 to 25 and aromatics (vol %) is in the range of 10 to 30. H2 yield varying from 0 to 1.37 is significantly affected by increasing C5+ and reduced by decreasing RON. The yield of other products is calculated by multiple regression analysis depending on C5+ conversion range 77–100. The yields of other products of reformer (C1, C2, C3, C4) can be calculated from correlation that developed using multiple regression analysis. This case study indicates that the statistical model is useful of CCR.
Challenges for Selective Catalytic Naphtha Reforming Products Using Response Surface Methodology (RSM)
Pet. Chem.
Al-Khafaji, Rand Q. (Autor:in) / Khalid, Duha (Autor:in) / Al-Zaidi, Muthana K. (Autor:in)
Petroleum Chemistry ; 64 ; 75-82
01.01.2024
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Damage Identification Using Response Surface Methodology
| British Library Online Contents | 2009
| British Library Online Contents | 2016