OVERVIEW

Sustainable energy systems are generally highly articulated systems, characterized by great amounts of data and complex dynamics that require the development of adequate models for analysis, management and control. The course aims to provide the basic methodological tools for modeling, simulation and control of sustainable energy systems related and to develop the ability to use software tools for analysis, simulation, optimization and control.

AIMS AND CONTENT

LEARNING OUTCOMES

The course provides a basic knowledge of the methods for the definition and use of mathematical models and software tools for the planning, management and control of environmental and energy systems

AIMS AND LEARNING OUTCOMES

The course aims to provide basic knowledge about the methods for the definition and use of mathematical models and software tools (MATLAB-Simulink, LINGO) for the purpose of the representation and control of sustainable energy systems. The course will cover the basic methods for the representation of dynamic systems also on the basis of experimental data, with the aim of developing techniques to improve performance and to allow real-time control. The methods will be described in close connection with specific application case studies: modeling and control of renewable energy plants (use of agro-forest biomass for energy production, hydroelectric, wind, photovoltaic plants), modeling, automation and control of polygenerative networks and energy communities.

The transversal skills on which we intend to focus are:

- personal competence

- social competence

-  ability to learn to learn proficiency in project creation

- expertise in project management

TEACHING METHODS

The course includes lectures, seminars and computer exercises. In particular, as regards transversal skills, exercises (on and off the computer) will be carried out in the classroom, encouraging work in different groups in order to promote personal and social skills and project development. Small projects will also be assigned to develop and present.
 

Working students and students with DSA, disability or other special educational needs certification are advised to contact the teacher at the beginning of the course to agree on teaching and exam methods which, in compliance with the teaching objectives, take into account individual ways of learning

SYLLABUS/CONTENT

1. Information architectures

2. Introduction to problems concerning the analysis, control, and optimization of sustainable energy systems.

3. Integration of mathematical models into computer architectures for real-time control.

4. Application examples: smart grids, renewable energies, water resources, control and automation of industrial systems and energy communities.

5. Simulation and identification of models.

6. Discrete-time control techniques.

7. PID

8. Predictive control.

9. Application to control problems of sustainable energy systems.

10. Software tools: introduction to the MATLAB, SIMULINK and LINGO environment tools of interest for the course.

11. Activities "in field" and seminars useful for the application of the studied methods and for collaboration with companies.

RECOMMENDED READING/BIBLIOGRAPHY

Course material by Michela Robba and Riccardo Minciardi

Analisi e controllo di sistemi dinamici, un laboratorio informatico, Finzi, Visioli, Volta, 1996

Applied Data Analysis and Modeling for Energy Engineers and Scientists-Springer (2011), T. Agami Reddy-

Multivariable System Identification-From Observations to Models, R. Guidorzi ,2003

TEACHERS AND EXAM BOARD

Exam Board

MICHELA ROBBA (President)

RICCARDO MINCIARDI

ROBERTO SACILE (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/10800/p/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral Examination

ASSESSMENT METHODS

1. During the oral exam the teacher will define a system that the student will have to characterize from the point of view of simulation and optimization either on the blackboard or on other IT support and not

2. During the oral exam some general questions will be asked to verify the knowledge of point 1, and to evaluate the reasoning skills

3. During the oral exam a project carried out in groups and delivered before the exam will be evaluated.

The evaluation criteria concern:

- correctness of the project report and written and oral answers

- appropriate vocabulary and confidence in exposure

Exam schedule

FURTHER INFORMATION

Pre-requisites :

None