SIMULATION OF ENERGY AND ENVIRONMENTAL SYSTEMS

SIMULATION OF ENERGY AND ENVIRONMENTAL SYSTEMS

_
iten
Code
66293
ACADEMIC YEAR
2020/2021
CREDITS
6 credits during the 3nd year of 10800 MECHANICAL ENGINEERING - ENERGY AND PRODUCTION (L-9) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/04
LANGUAGE
Italian
TEACHING LOCATION
SAVONA (MECHANICAL ENGINEERING - ENERGY AND PRODUCTION)
semester
2° Semester
Teaching materials

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.

Teaching methods

Lectures and exercises (simulation models) at computer

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. Predictive control.

  8. Application to control problems of sustainable energy systems.

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

  10. 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

Probabilità e statistica per l’ingegneria e le scienze, Sheldon M. Ross, 2004

C. Vercellis: Modelli e decisioni, Progetto Leonardo, 1997

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-

Dynamic Programming, D. Bertsekas

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

Teaching methods

Lectures and exercises (simulation models) at computer

EXAMS

Exam description

Oral Examination

Exam schedule

Date Time Location Type Notes
07/06/2021 11:00 SAVONA Orale
01/07/2021 11:00 SAVONA Orale
19/07/2021 11:00 SAVONA Orale
08/09/2021 11:00 SAVONA Orale

FURTHER INFORMATION

Pre-requisites :

None