Advanced Process Control and Process Systems Optimization
A special issue of ChemEngineering (ISSN 2305-7084).
Deadline for manuscript submissions: closed (30 June 2026) | Viewed by 565
Editors
Interests: process simulation; process optimization; optimal design of experiments
Interests: Process Systems Engineering (PSE); chemical process optimization; mathematical modeling; process design; synthesis of biobased feedstock processes; gas purification; G/L and L/L separations; process i
Special Issue Information
Dear Colleagues,
This Special Issue of ChemEngineering focuses on Advanced Process Control (APC) and Process Systems Optimization, welcoming original research and critical reviews that advance modeling, simulation, design, control, and optimization within Process Systems Engineering (PSE). Submissions employing mechanistic, data-driven, or hybrid approaches are encouraged, along with studies demonstrating innovative computational tools or impactful industrial applications.
PSE applies mathematical, algorithmic, and computational methods to support decision-making in chemical and biological processes. Traditional first-principles modeling—based on conservation laws, reaction engineering, and transport phenomena—remains fundamental for model-based control and optimization, though parameter estimation often requires extensive experimentation. The growth in industrial data, improved sensing, and machine learning has since led to powerful data-driven and hybrid modeling techniques capable of enhancing prediction, monitoring, soft-sensing, and real-time optimization.
Advanced Process Control continues to evolve through model predictive control, adaptive and robust strategies, and data-enhanced algorithms. Process optimization spans design, operation, and planning, often incorporating uncertainty quantification and multi-objective performance metrics.
Topics of interest include modeling (mechanistic and data-driven), fault detection, advanced control, real-time optimization, robust and stochastic optimization, digital twins, and applications across chemical and biological systems.
Dr. Belmiro P.M. Duarte
Dr. Nuno M.C. Oliveira
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ChemEngineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- process optimization
- process control
- process design
- first-principles modeling
- data-driven modeling
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