Proceedings of ESCAPE 36ISSN: 2818-4734
Volume: 5 (2026)
Table of Contents
LAPSE:2026.0432
Published Article
LAPSE:2026.0432
PhoSim V.0 - Towards A Digital Twin for an Industrial Wet-Process Phosphoric Acid Production
Ilias Bouchkira, Sanae Elmisaoui, Abderrazak Latifi
June 12, 2026
Abstract
In this paper, PhoSim V.0, a physics-based digital twin core of a wet-process phosphoric acid (WPPA) digestion reactor, is presented as an initial step toward a high-fidelity virtual representation of industrial WPPA plants. The simulator integrates dissolution, reaction, and crystallization phenomena under strongly non-ideal electrolyte conditions. The reactor is modeled as a batch reactor, where the dissolution of tricalcium phosphate is described using a shrinking-core approach, while gypsum precipitation is represented by a one-dimensional population balance equation capturing particle size distribution evolution. Supersaturation ratios governing nucleation and crystal growth are computed from non-ideal activities using a Pitzer-based thermodynamic model, ensuring consistent coupling between dissolution, reaction stoichiometry, and crystallization kinetics. The resulting stiff system of equations is solved to predict key process indicators such as speciation, supersaturation ratio, and characteristic crystal size. Implemented within a user-friendly simulation environment, PhoSim V.0 provides a modular and extensible foundation that will be progressively refined to mimic industrial WPPA digestion units and supports future monitoring, optimization, and control-oriented applications.
Keywords
Digital twin, Gypsum crystallization, Non-ideal thermodynamics, Population balance modeling, Shrinking-core model for dissolution, Wet-process phosphoric acid
Suggested Citation
Bouchkira I, Elmisaoui S, Latifi A. PhoSim V.0 - Towards A Digital Twin for an Industrial Wet-Process Phosphoric Acid Production. Systems and Control Transactions 5:1833-1840 (2026) https://doi.org/10.69997/sct.187366
Author Affiliations
Bouchkira I: RWTH Aachen University, Process Systems Engineering (AVT.SVT), Aachen 52074, Germany
Elmisaoui S: Mohammed VI Polytechnic University, Lot 990 Hay Moulay Rachid, Benguerir, Morocco
Latifi A: Université de Lorraine, LRGP, CNRS-ENSIC, Nancy 54000, France. Mohammed VI Polytechnic University, Lot 990 Hay Moulay Rachid, Benguerir, Morocco
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Journal Name
Systems and Control Transactions
Volume
5
First Page
1833
Last Page
1840
Year
2026
Publication Date
2026-06-12
Version Comments
Original Submission
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PII: 1833-1840-582-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0432
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References Cited
  1. Bouchkira I, Latifi AM, Khamar L, Benjelloun S. Modeling and multi-objective optimization of the digestion tank of an industrial process for manufacturing phosphoric acid by wet process. Computers & Chemical Engineering 156:107536 (2022) https://doi.org/10.1016/j.compchemeng.2021.107536
  2. Bouchkira I, Latifi AM, Khamar L, Benjelloun S. Multi-objective optimization of the digestion tank of an industrial phosphoric acid manufacturing process. 2020 6th IEEE Congress on Information Science and Technology (CiSt) :389-394 (2020) https://doi.org/10.1109/cist49399.2021.9357206
  3. Bouchkira, I., Latifi, A. M., Khamar, L., & Benjelloun, S. (2021). Process modeling and multi-criteria optimization of an industrial phosphoric acid wet-process. In Computer Aided Chemical Engineering (Vol. 50, pp. 499-504). Elsevier.
  4. Bouchkira, I., Latifi, A. M., Khamar, L., & Benjelloun, S. (2022). Modeling of the crystallization of gypsum produced in the digestion tank of an industrial phosphoric acid manufacturing process. In Computer Aided Chemical Engineering (Vol. 51, pp. 445-450). Elsevier.
  5. Bouchkira, I. (2022). Modélisation thermodynamique des solutions d'acides sulfurique et phosphorique en présence du minerai de phosphate: applications à l'encrassement, à la cristallisation et à l'optimisation multicritère d'une unité industrielle de production d'acide phosphorique. Université de Lorraine.
  6. Bouchkira, I., Latifi, A. M., Khamar, L., & Benjelloun, S. (2021). Process modeling and multi-criteria optimization of an industrial phosphoric acid wet-process. In Computer Aided Chemical Engineering (Vol. 50, pp. 499-504). Elsevier.
  7. Bouchkira I, Benjelloun S, Khamar L, Latifi AM. Thermodynamic modeling and parameter estimability analysis of a wet phosphoric acid process with impurities. Fluid Phase Equilibria 564:113594 (2023) https://doi.org/10.1016/j.fluid.2022.113594
  8. Bouchkira, I., Benjelloun, S., Khamar, L., & Latifi, A. M. (2021). Thermodynamic-based model for the prediction of the fouling phenomena in a wet phosphoric acid process. Chemical Engineering Transactions, 86, 1273-1278.
  9. Elmisaoui, S., Latifi, A. M., Khamar, L., & Salouhi, M. (2021). Shrinking core approach in the modelling and simulation of phosphate ore acidulation. Chemical Engineering Transactions, 86, 871-876.
  10. Elmisaoui S, Latifi AM, Khamar L. Analysis of the dissolution of phosphate ore particles in phosphoric acid: influence of particle size distribution. Hydrometallurgy 223:106197 (2024) https://doi.org/10.1016/j.hydromet.2023.106197
  11. Elmisaoui, S., Latifi, A. M., Farghi, F., Elmisaoui, S., & Khamar, L. (2024). Modeling of the coupling of dissolution and crystallization in the digestion tank of a wet phosphoric acid manufacturing process. In Computer Aided Chemical Engineering (Vol. 53, pp. 991-996). Elsevier.
  12. Elmisaoui, S., Latifi, A. M., Khamar, L., & Salouhi, M. (2021). Analysis of the dissolution mechanism in the phosphoric acid manufacturing process: modelling and simulation. In Computer Aided Chemical Engineering (Vol. 50, pp. 891-897). Elsevier.
  13. Elmisaoui S, Benjelloun S, Chkifa MA, Latifi AM. Surrogate model based on hierarchical sparse polynomial interpolation for the phosphate ore dissolution. Computers & Chemical Engineering 173:108174 (2023) https://doi.org/10.1016/j.compchemeng.2023.108174
  14. Elmisaoui, S., Benjelloun, S., Chkifa, A., & Latifi, A. M. (2022). A sparse polynomial surrogate model for the shrinking core model in phosphate ore digestion. In Computer Aided Chemical Engineering (Vol. 51, pp. 1291-1296). Elsevier.
  15. Bouchkira I, Latifi AM, Benyahia B. ESTAN-A toolbox for standardized and effective global sensitivity-based estimability analysis. Computers & Chemical Engineering 186:108690 (2024) https://doi.org/10.1016/j.compchemeng.2024.108690
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