International Teaching | DIGITAL ENERGY FOR SMART FACTORIES
International Teaching DIGITAL ENERGY FOR SMART FACTORIES
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cod. 0622700079
DIGITAL ENERGY FOR SMART FACTORIES
| 0622700079 | |
| DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE ED ELETTRICA E MATEMATICA APPLICATA | |
| EQF7 | |
| COMPUTER ENGINEERING | |
| 2021/2022 |
| YEAR OF COURSE 2 | |
| YEAR OF DIDACTIC SYSTEM 2017 | |
| SPRING SEMESTER |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| ING-IND/31 | 3 | 24 | LESSONS | |
| ING-IND/31 | 3 | 24 | EXERCISES |
| Objectives | |
|---|---|
| THE AIM OF THE COURSE IS TO GIVE AN OVERVIEW OF METHODS, ALGORITHMS AND OPTIMIZATION TECHNIQUES FOR THE ELECTRICAL ENERGY MANAGEMENT IN SMART FACTORIES. ASPECTS RELATED TO THE ELECTRICAL ENERGY PRODUCTION FROM FOSSIL AND RENEWABLE SOURCES, TO THE ENERGY STORAGE SYSTEMS INTEGRATION, TO THE INCREASE OF THE ENERGY EFFICIENCY AND TO THE INTERACTION WITH THE ELECTRICAL DISTRIBUTION ARE DISCUSSED. KNOWLEDGE AND UNDERSTANDING - TO BE ABLE TO EVALUATE THE EFFECTS OF THE INTEGRATION OF ELECTRICAL ENERGY SYSTEMS EXPLOITING FOSSIL AND RENEWABLE ENERGIES AND OF ELECTRICAL ENERGY STORAGE SYSTEMS IN A SMART FACTORY ENERGY SUPPLY GRID - TO BE ABLE TO DESIGN ALGORITHMS FOR MANAGING ELECTRICAL ENERGY FLUXES IN A SMART GRID SUPPLYING AN INDUSTRY - TO KNOW THE ADVANTAGES OF INTEGRATING THE ACTUAL DIGITAL TECHNOLOGIES WITH THE SMART GRID SUPPLYING THE SMART FACTORY APPLYING KNOWLEDGE AND UNDERSTANDING - TO USE SIMPLE MODELS OF FOSSIL AND RENEWABLE ENERGY GENERATORS AND OF ELECTRICAL STORAGE SYSTEMS TO THE AIM OF DEVELOPING A DIGITAL TWIN AND AN ENERGY MANAGEMENT SYSTEM - TO IMPLEMENT ALGORITHMS FOR THE ENERGY MANAGEMENT BY USING DIGITAL DEVICES FOR INDUSTRIAL APPLICATIONS - TO INTEGRATE DIGITAL COMMUNICATION SYSTEMS INTO THE SMART GRID SUPPLYING THE SMART FACTORY - TO USE HIGH LEVEL PROGRAMMING TOOLS FOR IMPLEMENTING AN ENERGY MANAGEMENT SYSTEM THROUGH AN EMBEDDED DIGITAL DEVICE |
| Prerequisites | |
|---|---|
| THE STUDENT NEEDS A PRELIMINARY KNOWLEDGE ON BASIC ELEMENTS OF ELECTRICAL ENGINEERING, ON ADVANCED ALGORITHMS AND DATA STRUCTURES AND ON EMBEDDED SYSTEMS. |
| Contents | |
|---|---|
| PRODUCTION AND STORAGE OF THE ELECTRICAL ENERGY (LECTURE / PRACTICE / LABORATORY HOURS 10/4/0) ELECTRICAL ENERGY PRODUCTION FROM FOSSIL FUELS AND RENEWABLE SOURCES; ENERGY STORAGE THROUGH RECHARGEABLE BATTERIES. FORECASTING ALGORITHMS FOR THE ENERGY PRODUCED BY RENEWABLE ENERGY GENERATORS. THE ENERGY MARKET AND THE SMART GRIDS. INTERFACING POWER PROCESSING SYSTEMS: DC/AC, AC/DC E DC/DC CONVERTERS AVAILABLE ON THE MARKET. ENERGY EFFICIENCY (LECTURE / PRACTICE / LABORATORY HOURS 10/4/0) SYSTEMS FOR INCREASING THE EFFICIENCY IN THE USE OF ELECTRICAL ENERGY IN INDUSTRIES. IOT, DISTRIBUTED MEASUREMENT OF ELECTRICAL VARIABLES, SMART SENSORS: TOOLS FOR IMPROVING ENERGY EFFICIENCY. ANALYSIS OF THE ELECTRICAL LOAD PROFILES AND ENERGY EFFICIENCY: HEATING/COOLING AND LIGHTING. ANALYSIS OF THE PRODUCTS THAT ARE AVAILABLE ON THE MARKET. DIGITAL ENERGY MANAGEMENT (LECTURE / PRACTICE / LABORATORY HOURS 4/10/6) DIGITAL TWIN AND ENERGY MANAGEMENT SYSTEM. ARTIFICIAL INTELLIGENCE APPROACHES FOR ELECTRICAL ENERGY FLUXES OPTIMIZATION. CYBER-SECURITY ISSUES IN SMART GRIDS. SIZING OF AN ELECTRICAL ENERGY GENERATOR FOR A SPECIFIC CASE STUDY AND SIMULATION OF THE ENERGY MANAGEMENT SYSTEM. IMPLEMENTATION OF THE ENERGY MANAGEMENT SYSTEM BY MEANS OF AN EMBEDDED SYSTEM. TOTAL LECTURE / PRACTICE / LABORATORY HOURS 24/18/6 |
| Teaching Methods | |
|---|---|
| THE COURSE INCLUDES 48 HOURS OF IN PERSON LECTURES, OF WHICH 24 HOURS DEDICATED TO THEORETICAL LECTURES AND 24 HOURS DEDICATED TO EXERCISES, ALSO SOLVED BY USING A COMPUTER, AND LABORATORY ACTIVITIES. |
| Verification of learning | |
|---|---|
| THE FINAL EXAM HAS A DURATION OF ABOUT 30 MINUTES. THE STUDENT HAS TO PRODUCE A 20 MINUTES PRESENTATION, FOLLOWED BY A 10 MINUTES DISCUSSION, CONCERNING THE SOLUTION OF THE ENGINEERING PROBLEM THAT THE PROFESSOR ASSIGNED TO HIM/HER DURING THE LECTURES AND THE LABORATORY ACTIVITIES. THE EXAM ALLOWS TO VERIFY KNOWLEDGE AND UNDERSTANDING, ABILITY OF APPLYING THE ACQUIRED KNOWLEDGE, PRESENTATION AND COMMUNICATION ABILITIES, CAPACITY OF ELABORATING NEW SOLUTIONS TO PROBLEMS BY USING SYSTEMS, CONTROL METHODS AND ALGORITHMS STUDIED DURING THE COURSE. THE ABILITY OF PRESENTING RESULTS IS ACCOUNTED FOR IN THE FINAL EVALUATION. THE FINAL MARK IS BETWEEN 18 AND 30 CUM LAUDE. THE MINIMUM (18) IS ASSIGNED TO THE STUDENT SHOWING A WEAK ABILITY OF APPLYING METHODS AND A LIMITED KNOWLEDGE OF THE PROPERTIES OF THE SYSTEMS PRESENTED IN THE COURSE. THE MAXIMUM (30) IS GIVEN TO THE STUDENT SHOWING AN IN DEPTH KNOWLEDGE OF ALL THE TOPICS TREATED IN THE COURSE AND WHEN HE/SHE IS ABLE TO APPLY THIS KNOWLEDGE EFFECTIVELY AND ACCURATELY SUPPORTING THE CHOICES DONE. THE LAUDE IS GIVEN WHEN THE CANDIDATE SHOWS EXTRAORDINARY KNOWLEDGE OF THE TOPICS TREATED IN THE COURSE, FULL OF DETAILS, AND HE/SHE IS ABLE TO ELABORATE IDEAS AND PUT TOGETHER THE CONCEPTS IN CONTEXTS THAT ARE EVEN DIFFERENT FROM THOSE ONES DESCRIBED IN THE COURSE. |
| Texts | |
|---|---|
| Ursula Eicker, Solar technologies for buildings, Wiley SUPPLEMENTARY TEACHING MATERIAL WILL BE AVAILABLE ON THE UNIVERSITY E-LEARNING PLATFORM (HTTP://ELEARNING.UNISA.IT) ACCESSIBLE TO STUDENTS USING THEIR OWN UNIVERSITY CREDENTIALS. |
| More Information | |
|---|---|
| THE COURSE IS HELD IN ENGLISH. |
BETA VERSION Data source ESSE3
