CODE 86667 ACADEMIC YEAR 2022/2023 CREDITS 6 cfu anno 2 ENERGY ENGINEERING 10170 (LM-30) - SAVONA SCIENTIFIC DISCIPLINARY SECTOR ING-IND/33 LANGUAGE English TEACHING LOCATION SAVONA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW 86667 – POWER SYSTEMS SIMULATION AND OPTIMIZATION Scientific domain: ING-IND/33 Electrical Power Systems European Credit Transfer System Credits (ECTS): 6 Year: Second year of the M.Sc. in Energy Engineering Lessons schedule: according to Polytechnic School timetable Lecturer: STEFANO BRACCO AIMS AND CONTENT LEARNING OUTCOMES The course is designed to provide the students the theoretical and methodological skills necessary for the development of power system simulation and optimization models. The goals of this course are to provide the students the capabilities related to modelling different power system technologies in off-design and transient operating conditions, through the use of dedicated software, and to developing optimization mathematical models to design and manage distributed generation plants, smart grids and microgrids, and electric mobility systems. AIMS AND LEARNING OUTCOMES The main purpose of the course is to provide students competences on the development of power system optimization and simulation tools, with a particular focus on distributed generation, smart grids/microgrids/nanogrids, energy communities and smart electric mobility systems. Students will acquire skills to develop mathematical models for the simulation of the behaviour of power plants in off-design and transient conditions. Moreover, students will be able to develop optimization models to design and daily operate energy communities, smart grids and smart microgrids/nanogrids (Energy Management Systems). Competences on the modelling of electric storage systems and electric mobility (vehicle-to-grid V2G and vehicle-to-building V2B technologies, Smart Charging of electric vehicles) will be also acquired. PREREQUISITES Knowledge of power plants. Knowledge of power and energy systems. Knowledge of mathematical analysis and systems theory. TEACHING METHODS The course is organized in interactive lectures on theoretical topics, solution of case studies and computer aided exercises (using Matlab, Simulink, Simscape, Yalmip, Homer Pro, Homer Grid). SYLLABUS/CONTENT - Development of mathematical models to simulate the behaviour of power plants in off-design (partial loads) and transient operating conditions - Smart grids and smart microgrids/nanogrids: technical and economic aspects, the Smart Polygeneration Microgrid of the Savona Campus - Modelling of electrical storage systems, high performance cogeneration and trigeneration units, renewable power plants - Modelling of electrical circuits - Electric mobility systems (electric vehicles and charging infrastructures, vehicle-to-grid V2G and vehicle-to-building V2B technologies, Smart Charging of electric vehicles) - Development of optimization tools to design and daily operate distributed energy facilities, energy communities and smart grids/microgrids/nanogrids - Development of Energy Management Systems for smart grids/microgrids/nanogrids and energy communities - Analysis of the technologies for the Smart City: smart buildings connected to smart microgrids, e-mobility, demand response strategies. RECOMMENDED READING/BIBLIOGRAPHY Lecture notes. Books and papers suggested by the lecturer. TEACHERS AND EXAM BOARD STEFANO BRACCO Ricevimento: By appointment via email or phone. Contact details: Stefano Bracco, DITEN, tel. +39-01921945123, mob. +39-3357917372, e-mail: stefano.bracco@unige.it Exam Board STEFANO BRACCO (President) FEDERICO DELFINO RENATO PROCOPIO (President Substitute) LESSONS LESSONS START https://courses.unige.it/10170 Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Each student has to prepare a written report on a developed optimization/simulation model. A positive evaluation of the written report permits to have access to the oral exam which consists of answers to theoretical questions and the solution of numerical exercises. Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities ASSESSMENT METHODS Evaluation of the acquisition of practical and theoretical competencies in developing optimization and simulation models of power plants, energy distribution and storage systems, energy communities, microgrids/nanogrids and electric mobility systems. Exam schedule Data appello Orario Luogo Degree type Note 10/01/2023 14:00 SAVONA Orale 10/01/2023 14:00 SAVONA Orale 26/01/2023 14:00 SAVONA Orale 26/01/2023 14:00 SAVONA Orale 14/02/2023 14:00 SAVONA Orale 14/02/2023 14:00 SAVONA Orale 07/06/2023 14:00 SAVONA Orale 21/06/2023 14:00 SAVONA Orale 05/07/2023 14:00 SAVONA Orale 19/07/2023 14:00 SAVONA Orale 07/09/2023 14:00 SAVONA Orale FURTHER INFORMATION Students have to install Matlab/Simulink/Simscape software on their computer in order to follow lessons.
