Insegnamento mutuato da: B031766 - SMART GRID INTEGRATION AND SUSTAINABLE MOBILITY Laurea Magistrale in MECHANICAL ENGINEERING FOR SUSTAINABILITY Curriculum ENERGY TECHNOLOGIES
Lingua Insegnamento
English
Contenuto del corso
Smart Grid and Distributed Generation Systems
Policy drivers and environmental impacts of the electrification of vehicles
EV integration options in the current electricity market
EV charging management using dynamic programming and EV fleet
operator concept
Benefits of using EVs to provide regulating power, frequency-control reserves, and voltage support
Impact of EVs integration on the operation of electric distribution networks and battery degradation
Congestion manag. within electric network
- unfolding the evolution of mobility and the current
technological stand;
- the building blocks and business models for a holistic EV charging infrastructure policy and regulation;
- how to manage additional EV load in the power system as well as the risks and mitigation avenues for grid integration;
- Vehicle-to-Everything (V2X) applications, key enablers and unlocking V2X, V2G potential and taking it forward.
The course will contribute to the following learning objectives specific of the Master Programme:
Knowledge and understanding
- cc1: The multidisciplinary normative, methodological,
technological, and instrumental knowledge of the context related to the ecological transition of systems, services and products.
- cc4: Knowledge of advanced design tools (mechanical, thermo-fluid dynamical, electrical, or multi-physics) for modelling and
numerical simulation of components or systems.
- cc9: Knowledge of vehicles and their technical and design characteristics for the development of sustainable mobility.
Applying knowledge and understanding
- ca1: The ability to identify, formulate and solve industrial engineering problems, defining specifications, technical, social, environmental, and commercial constraints.
- ca5: The ability to combine theory and practice to identify and solve multidisciplinary engineering problems, considering constraints, including non-technical ones.
Making judgements
- ag1: The ability to independently analyse data and information, draw objective conclusions and make consequential decisions.
- ag2: The ability to grasp the ethical implications of design choices and technologies employed or developed.
Communication skills
- ac1: The ability to communicate and transfer information, ideas, problems and solutions to specialists and non-specialists.
- ac2: The ability to professionally present problems, solutions, analyses and results through written reports and verbal presentations.
Learning skills
- ap1: The capacity for continuous and autonomous learning, and self-updating in the relevant engineering area.
Environmental concerns and the quest for energy supply independence have resulted in increasing penetration of renewable energy sources (RES) and a move toward electrification of transportation. Consequently, electric vehicles (EVs) are expected to play a significant role in the future power systems and impact distribution networks. Increased use of EVs will reduce greenhouse gas emissions from the transport sector by replacing conventional internal combustion engine vehicles while also serving as distributed energy storage that can mitigate uncertainties arising from intermittent RES. This course deals with the grid integration issues of EVs into the open electricity market in order to efficiently realize the large-scale deployment of EVs in the future power systems.
Modalità di verifica apprendimento
Assessment is based on a project of a case study of EV integration on distribution network and final presentation of the activity.
To pass the exam, the student has to demonstrate: the knowledge of the main topics of the course (cc1, cc4, cc9); the ability to identify industrial engineering problems and to be able to identify ways to address and overcome such problems (ca1, ag1, ag2), by appropriately combining theory and practice (ca5); the ability to retrieve and correctly exploit previous knowledge from the scientific literature (ap1); the ability to effectively present their work (ac1, ac2).
Programma del corso
Smart Grid and Distributed Generation Systems Electrification of Vehicles:
Policy Drivers and Impacts in Two Scenarios
Policy Drivers, Policies and Targets Scenarios and Environmental Impact Assessment
Future Policy Drivers for a BEV and PHEV Breakthrough
EVs and the Current Electricity Market
Electricity Consumption by EVs
Market Actors
Electricity Price
Electricity Sales Products for Demand Response
EVs in Different Markets
Electric Vehicles in Future Market Models
Alternative Markets for Regulating Power and Reserves for EV Integration
Management of Congestions in the Distribution Grid
Investments and Operation in an Integrated Power and Transport System
The Energy Systems Analysis Model
Optimal Charging of Electric Drive Vehicles: A Dynamic Programming Approach
EV Portfolio Management
EV Fleet Modelling and Charging Strategies
Operation and Degradation Aspects of EV Batteries
Day-Ahead Grid Tariffs for Congestion Management from EVs
Impact Study Methodology and Scenarios
Obiettivi Agenda 2030 per lo sviluppo sostenibile
Affordable and clean energy
Industry, innovation and infrastructure
Sustainable cities and communities
Responsible consumption and production
Act for the climate