Simulation & Optimization of Industrial Processes

The course covers the following sections: 

• Simulation methods, optimization, and industrial processes. Simulation of plume dispersion and optimization of chimney height: The case of the nuclear power plant.
• Case Studies of Simulation & Optimization
• Dimensional analysis. Complex examples of dimensional analysis.
• Biodiesel, a renewable alternative fuel produced from oils, fats, and recycling of frying oils (used oils).
• Simulation & Optimization of Batch Reactor - Continuous Flow Stirred Tank Reactor (CFSTR) and CFSTR in Series.
• Simulation & Optimization of Composite Distillation Column Systems and Mass Balances.
• Multicriteria Analysis and stochastic variables (fuzzy sets) for solving complex location problems.
• Simulation & Optimization of an Absorption Column.
• Simulation & Optimization of the Absorption Process and Absorbers in Series.
• Experimental & Computational Simulation and Optimization of Batch Reactor: The Case of Pretreatment of Lignocellulosic Biomass.
• Exercises of Experimental & Computational Simulation and Optimization of Batch Reactor and Specialization in the Case of Pretreatment of Lignocellulosic Biomass.
• Experimental & Computational Simulation & Optimization of the Drying Process and Dryers in Series.
• Experimental & Computational Simulation & Optimization of Plug Flow Reactor (PFR). 

A combination of teaching and learning methods is used with the aim to encourage active student participation and the practical application of the thematic topics under examination: lectures using audiovisual media, analysis and discussion of scientific texts, and experiential (group) exercises. 

Professors: 

D. Sideras, Professor University of Piraeus (UNIPI) 

Dr. D. Politis 

Dr. G. Giakoumakis