cod. 1006061

Academic year 2020/21
2° year of course - First semester
Academic discipline
Macchine a fluido (ING-IND/08)
Ingegneria meccanica
Type of training activity
48 hours
of face-to-face activities
6 credits
hub: PARMA
course unit

Learning objectives

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.


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Course unit content

The smart energy system paradigm.
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.

Full programme

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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

Online lectures.

Educational material will be periodically uploaded to the Elly platform to support the lessons and to deepen their contents.

To access these contents (which are an integral part of the course) it is necessary to register for the on-line course.

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, i.e Matlab and Scilab.

As long as the limitations due to the containment of the COVID-19 contagion persist, the exam will be administered online via Teams platform.

Other information

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.