CODE 66293 ACADEMIC YEAR 2020/2021 CREDITS 6 cfu anno 3 INGEGNERIA MECCANICA - ENERGIA E PRODUZIONE 10800 (L-9) - SAVONA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE Italian TEACHING LOCATION SAVONA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB 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 Information architectures Introduction to problems concerning the analysis, control, and optimization of sustainable energy systems. Integration of mathematical models into computer architectures for real-time control. Application examples: smart grids, renewable energies, water resources, control and automation of industrial systems and energy communities. Simulation and identification of models. Discrete-time control techniques. Predictive control. Application to control problems of sustainable energy systems. Software tools: introduction to the MATLAB, SIMULINK and LINGO environment tools of interest for the course. 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 MICHELA ROBBA Exam Board MICHELA ROBBA (President) RICCARDO MINCIARDI ROBERTO SACILE (President Substitute) LESSONS Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral Examination Exam schedule Data appello Orario Luogo Degree type Note 07/01/2021 11:00 SAVONA Orale 11/02/2021 11:00 SAVONA Orale 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
