Modelling, Simulation and Optimization of Large Scale Chemical Processes
A special issue of ChemEngineering (ISSN 2305-7084).
Deadline for manuscript submissions: closed (21 August 2019) | Viewed by 5015
Special Issue Editor
Interests: process modelling; simulation, optimization; model predictive control and conceptual design of chemical processes (process technologies); statistical analysis of data, including model regression and design of experiments; processes like gas-to-liquid and biomass-to-liquid process systems; Fischer-Tropsch synthesis; methanol synthesis; methanation; synthesis gas production; membrane processes; polyolefin processes
Special Issue Information
Dear Colleagues,
We are inviting submissions to a Special Issue of the journal ChemEngineering, “Modelling, Simulation and Optimization of Large Scale Chemical Processes”. We are particular interested in efficient and robust techniques and algorithms for simulation and optimization of large scale models describing chemical engineering systems. By “large scale models” we mean detailed models of unit operations combined into a flowsheet model of an entire process. The models may be steady-state or dynamic. Commercial process simulator models represent a large scale model, but also tailor made models implemented in commercial simulators or as standalone programs. A detailed model may be high resolution with respect to describing spatial gradient, but also with respect to distribution of chemical components and other population distributions. In addition, underlying thermodynamic models for calculation of phase and chemical equilibria and physical properties add to the complexity. These models are computationally laborious, and we are interested in efficient and robust methods to use these models in a simulation and/or optimization contexts. In a dynamic simulation context the use of local thermodynamic models has been successfully applied. Similarly, in an optimization context the use of surrogate models has been applied to make the optimization more efficient and robust. To ensure a global optimum is of great interest as well as efficiency. New algorithms and techniques are of great interest, in addition to good and illustrative applications of new and existing techniques.
Prof. Magne Hillestad
Guest Editor
Manuscript Submission Information
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Keywords
- Large scale models
- efficient and robust methods
- optimization
- process simulation
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