Course detail
Computer Aided Design in Chemical Engineering
FSI-9SVC Acad. year: 2021/2022 Both semester
The postgraduate students will get acquainted with process simulations and computer-aided design computations. They will enhance their knowledge of balancing in complex systems including multiphase, reactive or transient processes. The course includes classification of mathematical modelling approaches for chemical systems, namely mass transfer, heat transfer, fluid flow and reacting systems. Attention is given also to numerical methods for the solution of model equations and description of time domain dynamics. Students will get an overview of optimization techniques for process systems. Error propagation and data regression are covered as important concepts in the treatment of experimental data.
Language of instruction
Czech
Supervisor
Department
Learning outcomes of the course unit
Students will understand the principles of mathematical modelling and simulations in complex systems. They will get insight into computer-aided models and simulations that are used for design, analysis and optimization.
Prerequisites
Graduate-level knowledge of mathematics, physics and chemistry.
Planned learning activities and teaching methods
The course is taught through lectures focused on topics required for the individual doctoral project. It includes work in appropriate software tools.
Assesment methods and criteria linked to learning outcomes
Students are required to develop a process model or simulation related to their doctoral project.
Aims
Students will get acquainted with advanced concepts of mathematical models for design, analysis and optimization of industrial units (processes) or equipment. Students should be able to develop, implement and apply a proper model type for the solution of problems related to their doctoral research project.
Specification of controlled education, way of implementation and compensation for absences
Teaching is provided in the form of consultations and discussions over a model the student develops, at pre-arranged meetings.
The study programmes with the given course
Programme D-ENE-K: Power Engineering, Doctoral, recommended course
Programme D-ENE-P: Power Engineering, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
Syllabus
• Classification of mathematical modelling approaches
• Balancing in complex systems including multiphase, reactive or transient processes
• Chemical systems modelling with mass transfer, heat transfer, fluid flow and chemical reactions
• Process simulation using modular approach
• Process simulation using equation-solving approach
• Numerical methods for the solution of model equations
• Time domain dynamics simulation
• Optimization techniques for process systems
• Error propagation analysis
• Data regression