The DOI matches its Crossref record.
Understanding and revamping of industrial scale SMB units for p‐xylene separation
Abstract
One of the first applications of Simulated Moving Bed (SMB) technology was in p‐xylene recovery from mixed xylenes. The three main industrial processes for p‐xylene separation from mixed xylenes based on SMB technology are: UOP's Parex, IFP's Eluxyl, and Toray's Aromax. These units operate in liquid phase (T = 180°C and P = 9 bar), achieving high recovery of almost pure p‐xylene with high on‐stream efficiency and extended adsorbent life. In this work, the industrial scale SMB process is investigated from modeling, simulation, and optimization points of view, using experimentally measured xylene adsorption equilibrium and kinetics data on ion exchanged faujasite zeolite. The aim is to develop tools for training of SMB unit operators and choice of the best operating conditions. Useful studies for better understanding of the influence of the operating parameters, adsorbent packing, and separation requirements on unit productivity are presented. SMB unit revamping strategies and operative actions are proposed. The practical application of “separation volume” methodology in the selection of optimum operating conditions that lead to maximum p‐xylene productivity with minimal desorbent consumption is described. © 2006 American Institute of Chemical Engineers AIChE J, 2007
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Metal–Organic Frameworks for Separations
Li, J.-R., Sculley, J., & Zhou, H.-C. (2012) · Chemical Reviews · doi:10.1021/cr200190s · Cited by 6,323
Yang, L., Qian, S., Wang, X., Cui, X., Chen, B., & Xing, H. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00756c · Cited by 746
Nonporous Adaptive Crystals of Pillararenes
Jie, K., Zhou, Y., Li, E., & Huang, F. (2018) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00255 · Cited by 533
Finsy, V., Verelst, H., Alaerts, L., De Vos, D., Jacobs, P. A., Baron, G. V., & Denayer, J. F. M. (2008) · Journal of the American Chemical Society · doi:10.1021/ja800686c · Cited by 300
Separation and Purification of Hydrocarbons with Porous Materials
Wu, Y., & Weckhuysen, B. M. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202104318 · Cited by 284
Metadata
- Authors
- Minceva, M., & Rodrigues, A. E.
- Venue
- AIChE Journal
- Publisher
- Wiley
- Published
- 2006-11-30
- Volume
- 53
- Issue
- 1
- Pages
- 138-149
- ISSN
- 0001-1541 (ISSN-L)
- 1547-5905
- OpenAlex
- W1975982206
- Cited by
- 159
- References
- 0
- FWCI
- 9.15
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Understanding and revamping of industrial scale SMB units for p‐xylene separation. https://app.cochat.ai/papers/10.1002/aic.11062
- The paper
- Minceva, M., & Rodrigues, A. E. (2007). Understanding and revamping of industrial scale SMB units for p‐xylene separation. AIChE Journal. https://doi.org/10.1002/aic.11062
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.