Closing the loop on stoichiometric balance: A VLE-based feedforward strategy for extractive–reactive distillation
Reactive–extractive distillation (RED) refers to a class of intensified reaction and separation systems while one of its potential industrial applications is constrained by the difficulty of maintaining stoichiometric ratio balance under feed disturbances. This work proposes a modified extractive–reactive distillation (ED–RD) system for the separation of a tetrahydrofuran (THF)/ethanol (EtOH)/water (H 2 O), together with an advanced thermodynamics-based feedforward control framework. By maximizing THF recovery to 99.99 mol.% in the extractive distillation column (EDC), the reactive distillation column (RDC) is reduced to a ternary system, enabling a control formulation derived directly from vapor–liquid equilibrium (VLE) fundamentals rather than empirical correlations. A VLE-based calculator is developed to infer real-time H 2 O molar composition from temperature shifts induced by infinitesimal pressure and solvent variations. This enables thermodynamics-based estimation of key stoichiometric variables without online composition analyzers. Dynamic simulations show that the proposed control structure (CS3) maintains EtOH purity at approximately 99.6 mol.% under ± 10% feed throughput and composition disturbances while eliminating expensive composition analyzers. To address transient mismatch arising from stage-wise transport dynamics, a synchronization mechanism is introduced in the solvent recycle loop, improving consistency during disturbance propagation and strengthening stoichiometric regulation. Although the modified ED–RD comes at the expense of a slightly higher total annual cost (TAC), it delivers significantly improved dynamic robustness where conventional temperature controller (TC)-only control structures fail. A holistic quantitative comparison of the proposed control structures is presented, followed by discussion of the framework’s industrial applicability, limitations, and potential extension to other distillation systems.
Authors
- Jaka Sunarso (ORCID: https://orcid.org/0000-0002-5234-7431)
- Zong Yang Kong (ORCID: https://orcid.org/0000-0002-4846-2744)
- Putu Hadi Setyarini (ORCID: https://orcid.org/0000-0001-5813-021X)
- Hao‐Yeh Lee (ORCID: https://orcid.org/0000-0001-8609-8579)
- Yu-Ying Chen (ORCID: https://orcid.org/0000-0003-2959-5303)
- Xuan Liang Choo
Institutions
- National Taiwan University of Science and Technology (TW)
- University of Brawijaya (ID)
- Swinburne University of Technology (AU)
- Sunway University (MY)
- Swinburne University of Technology Sarawak Campus (MY)
Publication Details
- Journal
- Journal of Process Control
- Published
- 2026-09-30
- DOI
- https://doi.org/10.1016/j.jprocont.2026.103843
- Primary Topic
- Process Optimization and Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00