Giancarlo NOTA | SMART CITIES FOR ENERGY TRANSITION

cod. 0222100145

SMART CITIES FOR ENERGY TRANSITION

	0222100145
	DEPARTMENT OF MANAGEMENT & INNOVATION SYSTEMS
	EQF7
	BUSINESS MANAGEMENT AND CONSULTING
	2022/2023

CURRICULUM PUBLIC MANAGEMENT

	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2014
	SPRING SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	ING-IND/33	10	60	LESSONS	OPTIONAL SUBJECTS

PROFESSORS

	PIERLUIGI SIANO T Curriculum
	GIANCARLO NOTA Curriculum

	Objectives
	THE COURSE IS DESIGNED FOR LEARNING FUNDAMENTAL METHODS FOR THE MANAGEMENT AND PLANNING OF SMART CITIES. AT THE END OF THE COURSE THE STUDENT WILL KNOW: -METHODS FOR MANAGING SMART CITIES AND SMART GRIDS -METHODS FOR PLANNING THE DIGITAL AND ENERGY INFRASTRUCTURES OF SMART CITIES -METHODS FOR THE MANAGEMENT OF ELECTRICITY MARKETS AT THE END OF THE COURSE THE STUDENT WILL BE ABLE TO: -UNDERSTAND THE DIGITAL AND ENERGY INFRASTRUCTURES OF SMART CITIES -UNDERSTAND THE OPERATION AND MANAGEMENT OF ELECTRICITY MARKETS -EVALUATE INTERVENTIONS FOR ENERGY MANAGEMENT -EVALUATE INTERVENTIONS FOR PLANNING SMART CITIES BASED ON TECHNICAL, ECONOMIC AND REGULATORY CONSIDERATIONS THE STUDENT WILL BE ABLE TO IDENTIFY THE MOST APPROPRIATE METHODS FOR THE MANAGEMENT AND IMPLEMENTATION OF A SMART CITY. THE STUDENT WILL BE ABLE TO DESCRIBE IN WRITTEN FORM AND PRESENT IN A CLEAR AND CONCISE WAY THE PROCESS AND RESULTS OF PERFORMED CALCULATIONS. THE STUDENT WILL BE ABLE TO APPLY THEIR KNOWLEDGE IN CONTEXTS DIFFERENT FROM THOSE PRESENTED DURING THE COURSE, AND DEEPEN THE TOPICS USING MATERIALS OTHER THAN THOSE PROPOSED.

THE COURSE IS DESIGNED FOR LEARNING FUNDAMENTAL METHODS FOR THE MANAGEMENT AND PLANNING OF SMART CITIES.
AT THE END OF THE COURSE THE STUDENT WILL KNOW:
-METHODS FOR MANAGING SMART CITIES AND SMART GRIDS
-METHODS FOR PLANNING THE DIGITAL AND ENERGY INFRASTRUCTURES OF SMART CITIES
-METHODS FOR THE MANAGEMENT OF ELECTRICITY MARKETS

AT THE END OF THE COURSE THE STUDENT WILL BE ABLE TO:
-UNDERSTAND THE DIGITAL AND ENERGY INFRASTRUCTURES OF SMART CITIES
-UNDERSTAND THE OPERATION AND MANAGEMENT OF ELECTRICITY MARKETS
-EVALUATE INTERVENTIONS FOR ENERGY MANAGEMENT
-EVALUATE INTERVENTIONS FOR PLANNING SMART CITIES BASED ON TECHNICAL, ECONOMIC AND REGULATORY CONSIDERATIONS

THE STUDENT WILL BE ABLE TO IDENTIFY THE MOST APPROPRIATE METHODS FOR THE MANAGEMENT AND IMPLEMENTATION OF A SMART CITY.
THE STUDENT WILL BE ABLE TO DESCRIBE IN WRITTEN FORM AND PRESENT IN A CLEAR AND CONCISE WAY THE PROCESS AND RESULTS OF PERFORMED CALCULATIONS.
THE STUDENT WILL BE ABLE TO APPLY THEIR KNOWLEDGE IN CONTEXTS DIFFERENT FROM THOSE PRESENTED DURING THE COURSE, AND DEEPEN THE TOPICS USING MATERIALS OTHER THAN THOSE PROPOSED.

	Prerequisites
	FOR THE PROFITABLE ACHIEVEMENT OF THE PREFIXED OBJECTIVES, BASE KNOWLEDGE OF MATHEMATICS ARE REQUIRED.

	Contents
	THE CONCEPT OF SMART CITY: ANALYSIS OF RECORD OF CASES AND DEFINITION OF THE PROFILE OF THE SMART CITY. THEMES AND SMART DIMENSIONS OF THE CITY: ECONOMIC, SOCIAL, TECHNOLOGICAL, CULTURAL ASPECTS. THE CURRENT STATE OF THE SMART CITY. ANALYSIS OF THE ITALIAN, EUROPEAN AND GLOBAL CONTEXT. EMERGING MODELS OF SMART CITY: ANALYSIS OF CASES AND BEST PRACTICES. (4 H THEORY LESSONS). OPERATION AND MANAGEMENT OF DEREGULATED ELECTRICITY MARKETS. PLAYERS OF THE ITALIAN ELECTRICITY MARKET. THE PRODUCTION OF ELECTRICAL ENERGY, DISTRIBUTED GENERATION AND RENEWABLE SOURCES. ENERGY MANAGEMENT SYSTEMS. (10 H THEORY LESSONS, 10 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY). THE SMART CITY GOVERNANCE MODEL. THE SMART CITY AS A TERRITORIAL POLICY: THE ROLE OF POLITICAL SUBJECTS. CENTRAL AND LOCAL GOVERNMENTS. THE SMART CITY AND E-GOVERNMENT: TOOLS FOR IMPLEMENTATION (OPEN DATA, OPEN GOVERNMENT, SPATIAL INFORMATION SYSTEMS, ETC.) AND CASE ANALYSIS. (8 H THEORY LESSONS, 4 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY). THE INFRASTRUCTURE BASE OF THE SMART CITY: DIGITAL AND SUSTAINABLE TECHNOLOGIES. SMART CITY AND DIGITAL CITY: DIGITAL TECHNOLOGIES APPLIED TO THE CITY. URBAN ENERGY NEEDS AND ENERGY FROM RENEWABLE SOURCES. THE ROLE OF THE SMART GRID IN THE CREATION OF A SMART CITY. ENERGY INNOVATION, SMART HOUSE, SMART BUILDING. (14 H THEORY LESSONS, 10 H PRACTICAL EXERCISES IN THE LABORATORY). TOPICS ARE INTRODUCED THROUGH AN APPLICATION APPROACH BASED ON REAL EXAMPLES OF SMART CITIES.

Contents

THE CONCEPT OF SMART CITY: ANALYSIS OF RECORD OF CASES AND DEFINITION OF THE PROFILE OF THE SMART CITY. THEMES AND SMART DIMENSIONS OF THE CITY: ECONOMIC, SOCIAL, TECHNOLOGICAL, CULTURAL ASPECTS. THE CURRENT STATE OF THE SMART CITY. ANALYSIS OF THE ITALIAN, EUROPEAN AND GLOBAL CONTEXT. EMERGING MODELS OF SMART CITY: ANALYSIS OF CASES AND BEST PRACTICES. (4 H THEORY LESSONS).
OPERATION AND MANAGEMENT OF DEREGULATED ELECTRICITY MARKETS. PLAYERS OF THE ITALIAN ELECTRICITY MARKET. THE PRODUCTION OF ELECTRICAL ENERGY, DISTRIBUTED GENERATION AND RENEWABLE SOURCES. ENERGY MANAGEMENT SYSTEMS. (10 H THEORY LESSONS, 10 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY).
THE SMART CITY GOVERNANCE MODEL. THE SMART CITY AS A TERRITORIAL POLICY: THE ROLE OF POLITICAL SUBJECTS. CENTRAL AND LOCAL GOVERNMENTS. THE SMART CITY AND E-GOVERNMENT: TOOLS FOR IMPLEMENTATION (OPEN DATA, OPEN GOVERNMENT, SPATIAL INFORMATION SYSTEMS, ETC.) AND CASE ANALYSIS. (8 H THEORY LESSONS, 4 H PRACTICAL EXERCISES IN THE CLASSROOM OR IN THE LABORATORY).
THE INFRASTRUCTURE BASE OF THE SMART CITY: DIGITAL AND SUSTAINABLE TECHNOLOGIES. SMART CITY AND DIGITAL CITY: DIGITAL TECHNOLOGIES APPLIED TO THE CITY. URBAN ENERGY NEEDS AND ENERGY FROM RENEWABLE SOURCES. THE ROLE OF THE SMART GRID IN THE CREATION OF A SMART CITY. ENERGY INNOVATION, SMART HOUSE, SMART BUILDING. (14 H THEORY LESSONS, 10 H PRACTICAL EXERCISES IN THE LABORATORY).
TOPICS ARE INTRODUCED THROUGH AN APPLICATION APPROACH BASED ON REAL EXAMPLES OF SMART CITIES.

	Teaching Methods
	THE COURSE CONSISTS OF THEORY LESSONS (24 H), PRACTICAL EXERCISES IN THE CLASSROOM (3 H) AND LABORATORY (3 H). DURING EXERCISES IN THE CLASSROOM STUDENTS PERFORM EXERCISES ON THEORETICAL TOPICS. DURING LABORATORY EXERCISES, PRACTICAL EXERCISES TO DEVELOP THROUGH THE USE OF COMPUTER CALCULATION ARE ASSIGNED TO STUDENTS, DIVIDED IN WORKING GROUPS. PRACTICAL EXERCISES ARE USEFUL FOR DEVELOPING SKILLS RELATED TO THE MANAGEMENT AND PLANNING OF SMART CITIES. MOREOVER THEY ARE ALSO USEFUL TO DEVELOP AND STRENGTHEN THE ABILITY TO WORK IN TEAM.

Teaching Methods

THE COURSE CONSISTS OF THEORY LESSONS (24 H), PRACTICAL EXERCISES IN THE CLASSROOM (3 H) AND LABORATORY (3 H). DURING EXERCISES IN THE CLASSROOM STUDENTS PERFORM EXERCISES ON THEORETICAL TOPICS. DURING LABORATORY EXERCISES, PRACTICAL EXERCISES TO DEVELOP THROUGH THE USE OF COMPUTER CALCULATION ARE ASSIGNED TO STUDENTS, DIVIDED IN WORKING GROUPS. PRACTICAL EXERCISES ARE USEFUL FOR DEVELOPING SKILLS RELATED TO THE MANAGEMENT AND PLANNING OF SMART CITIES. MOREOVER THEY ARE ALSO USEFUL TO DEVELOP AND STRENGTHEN THE ABILITY TO WORK IN TEAM.

	Verification of learning
	THE EVALUATION OF THE ACHIEVEMENT OF THE FIXED OBJECTIVES WILL BE CARRIED OUT BY ORAL INTERVIEW RELATED TO THE MANAGEMENT AND PLANNING OF SMART CITIES. DURING THE INTERVIEW THE STUDENT WILL ALSO DISCUSS AN ELABORATE CARRIED OUT DURING THE LABORATORY ACTIVITIES. THE ORAL EXAM IS AIMED AT DEEPENING THE LEVEL OF THEORETICAL KNOWLEDGE, THE AUTONOMY OF ANALYSIS AND JUDGMENT, AS WELL AS THE STUDENT'S EXHIBITION SKILLS. THE MINIMUM GRADE (18) IS ASSIGNED WHEN THE STUDENT DEMONSTRATES UNCERTAINTIES IN THE APPLICATION OF CONTROL METHODS FOR AUTOMATION AND HAS LIMITED KNOWLEDGE OF THESE METHODS. THE MAXIMUM GRADE (30) IS ASSIGNED WHEN THE STUDENT DEMONSTRATES A COMPLETE AND IN-DEPTH KNOWLEDGE OF THE METHODS AND IS ABLE TO SOLVE THE PROPOSED PROBLEMS ARRIVING EFFICIENTLY AND ACCURATELY TO THE SOLUTION. THE PRAISE IS GIVEN WHEN THE CANDIDATE DEMONSTRATES SIGNIFICANT MASTERY OF THE THEORETICAL AND OPERATIONAL CONTENT AND SHOWS HOW TO PRESENT THE TOPICS WITH CONSIDERABLE OWNERSHIP OF LANGUAGE AND AUTONOMOUS PROCESSING SKILLS EVEN IN CONTEXTS DIFFERENT FROM THOSE PROPOSED BY THE TEACHER.

Verification of learning

THE EVALUATION OF THE ACHIEVEMENT OF THE FIXED OBJECTIVES WILL BE CARRIED OUT BY ORAL INTERVIEW RELATED TO THE MANAGEMENT AND PLANNING OF SMART CITIES. DURING THE INTERVIEW THE STUDENT WILL ALSO DISCUSS AN ELABORATE CARRIED OUT DURING THE LABORATORY ACTIVITIES.
THE ORAL EXAM IS AIMED AT DEEPENING THE LEVEL OF THEORETICAL KNOWLEDGE, THE AUTONOMY OF ANALYSIS AND JUDGMENT, AS WELL AS THE STUDENT'S EXHIBITION SKILLS.
THE MINIMUM GRADE (18) IS ASSIGNED WHEN THE STUDENT DEMONSTRATES UNCERTAINTIES IN THE APPLICATION OF CONTROL METHODS FOR AUTOMATION AND HAS LIMITED KNOWLEDGE OF THESE METHODS.
THE MAXIMUM GRADE (30) IS ASSIGNED WHEN THE STUDENT DEMONSTRATES A COMPLETE AND IN-DEPTH KNOWLEDGE OF THE METHODS AND IS ABLE TO SOLVE THE PROPOSED PROBLEMS ARRIVING EFFICIENTLY AND ACCURATELY TO THE SOLUTION.
THE PRAISE IS GIVEN WHEN THE CANDIDATE DEMONSTRATES SIGNIFICANT MASTERY OF THE THEORETICAL AND OPERATIONAL CONTENT AND SHOWS HOW TO PRESENT THE TOPICS WITH CONSIDERABLE OWNERSHIP OF LANGUAGE AND AUTONOMOUS PROCESSING SKILLS EVEN IN CONTEXTS DIFFERENT FROM THOSE PROPOSED BY THE TEACHER.

	Texts
	SMART CITIES, MICHELE VIANELLO, MAGGIOLI EDITORE; 1 EDIZIONE (1 MARZO 2013), COLLANA: PIONERO, ISBN-10: 8838779384 SMART CITY E DIGITAL CITY. STRATEGIE URBANE A CONFRONTO, RENATA P. DAMERI (AUTORE), LORENZO GIOVANNACCI, FRANCO ANGELI EDITORE, 2016 . DANIEL S. KIRSCHEN, GORAN STRBAC, “FUNDAMENTALS OF POWER SYSTEM ECONOMICS”, WILEY

	More Information
	SLIDES AND FURTHER DIDACTIC MATERIALS OF THE COURSE CAN BE REQUESTED TO THE TEACHER RECEPTION TIME: MONDAY FROM 14:00 TO 16:00

BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2024-08-21]

Giancarlo NOTA | SMART CITIES FOR ENERGY TRANSITION