Control and Optimization of Chemical and Biochemical Processes

Dear Colleagues,

The special issue will cover different topics including modeling, simulation, design, control and optimization of both chemical and biochemical processes. A more efficient analysis of several problems, ranging from the design of novel materials to the optimization of industrial plants, will be provided. One of the major advantages of the described techniques will be represented by the possibility of obtaining accurate predictions of the analyzed processes over a wide range operating conditions. Computer simulations, or computer experiments, are indeed less impaired by non-linearity, having many degrees of freedom or lacking in symmetries than analytical approaches. As a result, computer simulations establish their greatest value for those systems where the gap between theoretical predictions and laboratory measurements is large. Instead of constructing layers of different approximations of a basic law (formulated as equations), a numerical approach simulates directly the original problem with its full complexity without making many assumptions.

The modeling, simulation, control and optimization techniques described in this special issue can be, therefore, used as an exploratory tool in “computer experiments” under conditions, which would not be feasible or too expensive in real experiments in the laboratory.

One of the major impacts of the present proposal is to show the true interactions and interconnectivities among different topics belonging to nanotechnology, chemistry, energy and (bio-) chemical engineering research fields.

Main goals:

- A wide spectrum of different problems and of innovative and unconventional modeling, simulation, control and optimization techniques will be covered.

- It will be shown how various kinds of advanced models can be exploited either to predict the behavior of real processes, thus optimizing their performance or to achieve the formulation of novel products/materials.

- The control/optimization of novel processes/materials will be achieved in a faster and more reliable way.

Prof. Dr. Stefano Curcio
Dr. Sudip Chakraborty
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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 semimonthly 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 1600 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.

• Hybrid modeling
• Multi-scale simulation
• Efficient models
• Simulation, modeling, optimization and control
• Membrane reactors in chemical & bioprocess engineering