Learning objectives
The student will acquire
(i) specific knowledge relating to conventional and innovative energy conversion systems and their integration into energy networks
(ii) the fundamental notions and theoretical tools that can be used for the dynamic simulation of complex systems
(iii) the ability to build mathematical models for the simulation of system components of different nature, type and configuration, of which he will be able to evaluate and define the most appropriate level of detail by making the appropriate simplifications to obtain results of adequate accuracy (also in relation to that of the measures available for calibration, validation and comparison).
(iv) the ability to apply the fundamental knowledge and the methods of analysis learned for the further and continuous study of the subject at a higher level with particular reference to the evolution of the most complex Energy Systems and the most advanced control techniques in the context of a sustainable energy transition.
Prerequisites
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Course unit content
The course aims to provide the knowledge and skills necessary for the implementation of integrated energy systems and their "smart" management and control algorithms. After an introduction to Energy Systems and solutions for their integration into complex energy networks, we will review the conversion technologies currently used with particular regard to the most advanced ones (heat pumps, Power-to-X systems, etc.) . The role of energy storage technologies will also be analyzed in order to increase the flexibility and resilience of Energy Systems and advanced management techniques (including Model Predictive Control) that enable them will be reviewed. Finally, the procedures for the development and application of the mathematical models used for the simulation of Energy Systems (and the networks in which they are integrated) and the development of their management and control algorithms will be presented.
Full programme
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Bibliography
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Teaching methods
Lectures (online if requested by COVID containment).
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 the Matlab computing environment.
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.
