DYNAMICS AND CONTROL OF ENERGY SYSTEMS
Learning outcomes of the course unit
The student will acquire
(i) basic knowledge for the study of the dynamic behavior of energy processes and machines and their control
(ii) tools for dynamic simulation of complex systems
(iii) modeling capabilities of components of systems of different nature, type and configuration. The student will be able to assess the complexity of the model and he will be able to make the appropriate simplification in order to obtain results of adequate accuracy also in relation to that of the available measures for calibration, validation and comparison.
(iv) ability to apply basic knowledge and learned methods for the study of more complex energy systems and more advanced control techniques.
Course contents summary
Introduction to automatic controls.
Introduction to mathematical models (definition, classification)
The phases of the modeling process
Elements of fluid dynamics and heat transfer
Elements of fluid machinery and power systems
The role of experimental measurements in the modeling process (model calibration, validation)
Modeling and control of a CHP system.
Systems state space representation.
The bond graph approach applied to energy systems and their components.
Modeling for diagnostic: GPA of gas turbines.
Recommended readings
Bacchelli, Danielli, Sandrolini, "Dinamica e controllo delle macchine a fluido", Pitagora Editrice
Doebelin, “System Dynamics – Modeling, Analysis, Simulation, Design”, Marcel Dekker Inc.
Brown, “Engineering system dynamics – A Unified Graph-Centered Approach”, Taylor and Francis, 2nd Edition
Ordis et al, "Modelling and simulation of power generation plants", Springer-Verlag
Kulikov et al, "Dynamic Modelling of Gas Turbines", Springer
Teaching methods
Lectures
Assessment methods and criteria
Oral exam consisting in the discussion of a group project and in some questions about the course content. The project is the development of a model of a fluid or thermodynamic system and its implementation in two computing environments to choose from Matlab, Scilab and OpenModelica.
Other informations
Lectures attendance is highly recommended.
Non-attending students are invited to consult the Elly platform on which the topics actually presented in class will be periodically listed.
