20th IEEE Mediterranean Eletrotechnical Conference


June 16-18, 2020, Palermo, Italy


quick access: Track 1: Smart Mobility | Track 2: Industry 4.0 | Track 3: Smart Health Care | Track 4: Smart Grids

Track 1: Smart Mobility

Rosario Miceli, University of Palermo, Italy
Alberto Reatti, University of Firenze, Italy

1.1. Electric vehicle transportation systems and their environmental impact, charging infrastructure and grid integration
Theme Chairs
Rosa Mastromauro, University of Firenze, Italy
Elena Breaz, UBTM, France

Over the last years, the global community has been involved into an unprecedented revolution in the mobility sector, with a significant evolving of technology from internal combustion engine vehicles to hybrid and full electric vehicles. For this reason, the interest of researchers towards the transportation systems and the related environmental impact has significantly increased over the last years, evaluating the optimal integration of electric mobility systems in urban areas. These aspects refer to the use of public and private vehicle fleets fed by appropriate charging infrastructures and managed through advanced IoT platforms which allow the implementation of innovative strategies including demand response approaches and smart charging.


AVehicle grid integration and related challenges Charging infrastructures Smart charging of electric vehicles Integration of electric vehicles with renewable sources Energy management systems Environmental impact evaluations Mobile and stationary distributed energy storage systems Policy/Regulatory Aspects V2G (Vehicle-to-Grid) and V2B (Vehicle-to-Building)

1.2. Transportation electrification, electric & hybrid vehicle, interconnected cities
Theme Chairs
Luca Pugi, University of Firenze, Italy
Chiara Ravazzi, CNR, Italy

The term “smart city” has been used widely over these past couple of decades. With the rapid advancements in technology and evolution of fields such as artificial intelligence (AI) and robotics, its scope is to encompass all areas that could be improvised to enhance the quality of life of citizens. In addition, the adoption of Electric and Hybrid Vehicles certainly offers greater impetus for lower energy investment at lower emission levels. EV produces fewer pollutant emissions than almost all comparable gasoline conventional and gasoline hybrid cars. In the smart city of the future the integration of electric vehicles in smart power grids and microgrids, characterized by a massive spread of renewable sources and storage systems, will be more and more fundamental. In this context, this session could be an opportunity for specialists coming from academia and industry to share their experiences and vision on electric mobility in smart cities.


Smart city pilot projects, Hybrid and full electric passenger cars, light duty vehicles and buses, Electric micro mobility, Fuel cell technology in e-mobility, Vehicles and Environmental Aspects, Intelligent Transportation Systems (ITS), Power Quality Monitoring and Mitigation, Smart road

1.3. Business models and technical solutions for smart mobility of people and goods
Theme Chairs
Michael Schier, German Aerospace Center, Germany
Carlo Cecati, University of Aquila, Italy

Over the last years, the area of the mobility is poised to strengthen its traffic/transport infrastructures, facing a global mobility transformation. A number of technologies are converging to change the way people and goods travel from one point to another. The urban centers are seeing a huge growth in population and vehicles leading to congestion, pollution, increased fuel consumption, increased incidences of road accidents, parking issues, lack of pedestrian walkways etc. However, the evolving smart mobility ecosystem can bring in seamless, sustainable and safe connectivity. Therefore, smart mobility will eventually deliver true convergence of lifestyle and technology, improving the overall quality of life for citizens.


Comprehensive transport network, Multimodal public transport, Shared mobility, Energy markets and aggregators, Charging tariffs and new business models linked to electric mobility, High speed rails emerging technologies

1.4. Public Transportation and shared mobility networks and their management, rail traffic management
Theme Chairs
Giuseppe Tomasso, University of Cassino, Italy
Alfonso Damiano, University of Cagliari, Italy

The new technologies in transportation and mobility are changing the way on how the mobility should be managed. It is expected that there will be over 250 million connected vehicles by 2022. This translates into huge data collection by integrated and interconnected sensors to create sophisticated global models on several parameters such as traffic flow or precise roadway maps. Moreover, connected vehicles and integrated communications technologies could provide valuable services to car user. Vehicles equipped with electronic control modules and sensors that enable Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications can proactively propose and recommend re-routings to avoid road hazards and calls for assistance in the event of an accident.


Intelligent Transport Infrastructure and systems, Connected, Autonomous, self-driving systems, Shared Mobility and demand-responsive transport, Sustainable Mobility towards low-carbon Cities, Mass Transit Networks, Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) communications

1.5. Water transportations, infrastructures, vessel traffic management and shipboard electrical power systems
Theme Chairs
Giorgio Sulligoi, University di Trieste, Italy
Seref Sagiroglu, Gazi University, Turchia

In recent years, the increase of means of transportation in the marine sector has led to an increase of air pollution. Therefore, more rapid and comprehensive actions in addressing new technologies in this field are needed in order to address the H2020 requirements towards a sustainable development of the marine area. This session will focus on emerging electric ship technologies


Energy Storage, Electric power system design tools and methods, Control Methods and Architectures, Electric Propulsion and Generation, Power Conversion in electrical ships, Electric Power System Architectures, Safety systems, Power Distribution, Cabling, and Grounding

1.6. Air transportation, avionics and aerospace, more electric aircrafts
Theme Chairs
Antonio Faba, University of Perugia, Italy
Armin Dietz, University of Nurberg, Germany

The modern society is moving towards a green technological innovation, with the aim of reducing the gas emissions, minimizing the air pollution. In this context, the field of aerospace has faced a very fast development in terms of applied electrical machines, drives and power electronics, directing the effort for the achievement of More Electrical Aircrafts. This session will be an opportunity for specialists coming from academia and industry to share their experiences aimed at the improvement of air transportation, avionics, aerospace towards the development of more electrical aircrafts.


Reliability and safety analysis, Fault tolerance, Condition monitoring and lifetime estimation, Fault prediction, Storage systems in air transportation, Innovative devices and converters for aerospace applications, Electric motors and drives for MEA, Efficiency enhancement in more electric aircrafts

Track 2: Industry 4.0

Giovanni Stea, University of Pisa, Italy
Rosario Sorbello, University of Palermo, Italy

2.1. Security, Privacy and Data Openness
Theme Chairs
Marco Morana, University of Palermo, Italy

Due to their distributed nature and high degree of modularity, IT systems for Industry 4.0 are prone to several security attacks that can be performed against every element of the infrastructure. For instance, two important security issues concern safeguarding of data produced by the machineries, as well as protecting intermediate or high-level information inferred through data analysis algorithms. The goal of this track is to put together relevant contributions addressing security and privacy issues coming from the design of intelligent systems for the future industries.


IoT, Cyber Security, Smart Industries, Distributed and Secure data analysis

2.2. Cloud-based Systems and Applications
Theme Chairs
Dario Bruneo, University of Messina, Italy
Salvatore Venticinque, University of Campania, Italy

Cloud technology is one of the key enabler of the Industry 4.0 revolution. The possibility of having high computing power and large storage facilities, on demand, allows to design advanced industrial solutions that can take advantages from data coming form sensors and from AI-powered algorithms to perform optimal controls. It even represents an opportunity for computation offloading by IoT applications executing at the edge or to host context aware smart services. To this end, powerful Cloud architecture must be investigated taking into account also aspects such as security, responsiveness, accuracy, energy efficiency, interoperability and emerging standards.


Cloud-based frameworks, Cloud-edge integration, Virtualization, Elastic-computing

2.3. Industrial Internet, 5G and Internet of Things
Theme Chairs
Lucia Lo Bello, University of Catania, Italy
Gaetano Patti, University of Catania, Italy
Federico Tamarin, University of Padova, Italy
Lukasz Wisniewski, inIT - Institute Industrial IT, Germany

Session "Industrial Internet, 5G and Internet of Things" aims to bring together experts from various domains, such as IT, Telecommunication, Automation, Smart Grids, and many others, in order to discuss the current challenges in the field of industrial communication. In such areas, industrial communication systems need to face several strict requirements, such as low latency, high reliability, real-time transmissions, safety, and security, while involving many cooperative computational elements controlling time-critical physical entities. Typically, there is no one-fits-all solution that can serve as the single communication technology, but a mixture of several interconnected technologies is required. This poses several challenges for the integration, maintenance, configuration, and management of such systems. Moreover, the increasing penetration of innovative computing, communication and intelligence paradigms, such as Software Defined Networking (SDN), edge/fog computing, Network Function Virtualization (NFV), and machine/deep learning approaches increases the complexity of these systems. As a result, in order to efficiently use such complex systems in the industrial domain, innovative approaches are needed to find the appropriate balance between communication performance, flexibility, interoperability, and user-friendliness. This session mainly focuses on the following topics:

  • Security and safety solutions for Industrial Internet
  • Interoperability and standardization for computing, intelligence and communication in the IoT scenarios
  • Cloud, edge and fog computing, resource allocation and management for Industry 4.0
  • Software defined networking (SDN), network slicing, etc.
  • Integration of 5G cellular networks within smart factories
  • Cross layer design of communications and computing with enhanced performance
  • Virtualization or containerization technologies for IIoT/Industrial Internet
  • Emerging cellular networks for critical control systems
  • Communication Technologies for Industry 4.0.
  • Performance evaluation and modeling of communication systems and architectures,
  • Real-time communications protocols and standards, e.g., Time Sensitive Networking.


Industrial Communications, Cloud, edge and fog computing, Communication for Industry 4.0, Real-time communications, SDN, NFV, 5G, TSN.

2.4. Wireless sensor nodes and energy harvesting
Theme Chairs
Fabio Viola, University of Palermo, Italy
Filippo Costa, University of Pisa, Italy

The ever-widespread presence of predictive systems for controlling the efficiency of complex systems has required the development of ad hoc powered sensors that often exploit energies that would otherwise be lost (harvesting principle). In this session we want to highlight all the new technologies that develop the power supply of sensors with the energy harvested from mechanical and electromagnetic systems.


Energy harvesting sensing; Mechanical harvesters; Electromagnetic harvesters; Electronic circuits for the storage.

2.5. Artificial Intelligence and Big Data Analytics
Theme Chairs
Francesco Masulli, University of Genova, Italy
Ethem Alpaydn, Bogazici University, Turkey

In recent decades we have witnessed a growing investment by all economic sectors in the acquisition of ever larger volumes of data and this has led to minting the term Big Data. Most of the data that is produced is accumulated in the cloud or in data servers and only a small fraction of the information it contains can be used through conventional processing techniques. The implicit information content of such data can be transformed into an asset of enormous value for companies, but to extract the most valuable content from big-data it is necessary to use the most advanced techniques of artificial intelligence, e, and in particular those based on machine learning. Analysts point to artificial intelligence as a major technological challenge that can open up new scenarios for businesses and that could double the growth rate of developed economies by 2035 and boost labor productivity with increases up to at 40%.


Applications, Artificial Intelligence, Big Data, Brontobytes, Business Intelligence, Chatbots, Classification, Clickstream analytics, Cluster analysis, Cognitive computing, Convolutional neural networks, Data Analytics, Data Cleansing, Data Lakes, Data mining, Data visualization, Deep learning, Evolutionary Computation, Fuzzy logic, Genetic algorithm, IOT, Knowledge engineering, Machine learning, Machine perception, Natural language processing, Neural Networks, NoSQL, Particle Swarm Optimization, Pattern Recognition, Predictive analytics, Prescriptive analytics, Recurrent neural network, Semi+AC0-structured data, Sentiment Analysis. Stream modeling, Understandable learning machines, Unsupervised learning

2.6. Robotics, Automation and Advanced Manufacturing
Theme Chairs
Adriano Fagiolini, University of Palermo, Italy
Izzal Azid Sheikh, University of South Pacific, Fiji

This session is dedicated to Soft Robotics, Human-robot interaction, Collaborative robotics, Distributed decision systems, Automation, Cybernetic systems, Power machine control, Deep learning approach for control, Artificial intelligent, Consensus algorithms and formation control, autonomous systems (ground, aerial, water), planning, estimation and control for self-driving cars, hybrid systems, safe and secure systems, Intelligent Mechatronics and Robotics Engineering/Welding, System Modeling and Simulation Techniques, Laser Processing Technology, CAD/CAM Integration Technology, Computer-aided Geometric Design & Simulation, Precision Mechanics & Mechatronics, Quality & Reliability Engineering, Vehicle Dynamic Performance Simulation, Mechanical Reliability Theory and Engineering, Dynamic Mechanical Analysis, Optimization and Control, Structural Strength and Robustness


Robotics, Automation and Advanced Manufacturing is one of the significant sessions of the Track 2: Industry. It provides a global forum for the robotics and manufacturing research community to explore the innovative research in intelligent robots, automation and manufacturing industry.

2.7. Embedded and Cyber-physical systems
Theme Chairs
Alessandro Papadopoulos, Mälardalen University, Sweden
Luis Almeida, University of Porto, Portugal

Cyber-Physical Systems (CPS) and Embedded Systems (ES), which overlap to a large extent, are core elements in supporting modern societies, from industrial applications to energy production and distribution, transportation, health systems and many devices that we use on a daily basis. Current CPS/ES are frequently networked and adaptive, communicating with other CPS/ES or with external systems such as Edge and Cloud, to provide the user with enhanced intelligent functions. However, to be effective, CPS/ES have to comply with numerous constraints, notably real-time, power, reliability, limited resources and cost. This track focuses on the challenges that arise from designing and analysing these systems, meeting all the constraints that apply. We welcome submissions of cutting-edge original work in this area, addressing not exclusively any of the keywords mentioned below.


Cyber-physical systems, Embedded systems, Real-time systems, Internet of Things, Industry 4.0, Networked control, Networked embedded systems, Real-time cloud, Edge computing.

Track 3: Smart HealthCare

Sergio Cerutti, Politecnico di Milano, Italy
Constantinos Pattichis, University of Cyprus, Cyprus

3.1. Services, Applications and Solutions to Challenging Problems in Smart Healthcare
Theme Chairs
Andreas Panayides, University of Cyprus, Cyprus
Carmelina Ruggiero, University of Genova, Italy

The roles of modern technology and innovative ICT solutions are increasingly diffused in Health Care Organisations today, aspiring to facilitate clinically relevant solutions to the complex problems connected to the various levels of medical care interventions: from centralised solutions to more proximal de-centralised ones, including the patient’s home and patient’s body itself. The objective of this Theme is to highlight emerging concepts, smart tools, and processes, while discussing practical solutions and associated applications, towards improving the quality of health services across the healthcare continuum, for the benefit of the patient.


Health Care Organisation, Smart Health Care, Technological Impact on Health Care, Advanced Models of Diagnosis, Therapy and Rehabilitation, Artificial Intelligence for Healthcare Innovation, Connected Health, eHealth, mHealth, Healthcare Robotics.

3.2. Big Data Integration and IoT for Smart HealthCare
Theme Chairs
Themis Exarchos, Ionian University, Corfu, Greece
Luca Faes, University of Palermo, Italy

A modern approach of Health Care is to integrate in a unique document (Electronic Medical Record-EMR) the data relative to the single patient, including also data from genomic analysis and from biosignals, in many cases recorded for long periods of time and using less invasive systems like wearable or contactless devices. Such an approach requires, from one side, to deal with a very large amount of data which need to be properly integrated and correctly interpreted, and from the other side it could contribute to push for the creation of a network of sensors for the recording of these parameters of medical/vital interest which will be easily inserted into everyday life objects (watches, garments, optical sensors for presence, ambient measurements, etc): the so-called approach of Internet of Things (IoT). The processing of these large amount of data might require the development of advanced biosignal processing techniques and the employment of machine learning algorithms and Artificial Intelligence.


Electronic Medical Record, Health Big Data Analytics, Health Big Databases, Advanced and Smart Sensors, Body Area Network Sensors, Multivariate Biosignal Processing, Internet of Things (IoT) in Health, Artificial Intelligence and Machine Learning for Patient Classification

3.3. E-Health and Personalised Medicine
Theme Chairs
Paulo Carvalho, University of Coimbra, Portugal
Mauro Giacomini, University of Genova, Italy

Advanced methods and technological devices are contributing to the so-called “Personalised Medicine” or “Precision Medicine”, i.e. to be able to care that single patient and not simply one patient belonging to a class of a “similar” pathology who is generally treated referring to a widely agreed protocol inside medical community which has received a consensus on an evidence-based aproach. There are various advanced solutions which allow to reach important results towards this direction, through the employment of sensors directly connected to the patient and correlating these data with other information contained into the EMR and to obtain a more personalised and targeted medical intervenction. Patient classification might be improved with advanced techniques of Machine Learning and Artificial Intelligence.


Personalised Medicine, Precision Medicine, E-Health, Patient Classification, Machine Learning for Diagnosis and Therapy

3.4. Neural and Cognitive Engineering
Theme Chairs
Anna Maria Bianchi, Politecnico di Milano, Italy
Kleanthis Neokleous, RISE Research Center on Interactive Media and Emerging Technologies, University of Cyprus, Cyprus

A great interest is actually dedicated to the comprehension of brain responses to neural and cognitive stimuli. That is done by integrating information from different sources of signals and images from the brain or from other organs which are directly influenced by cognitive stimuli (like as examples ECG signal, respiration, skin conductance and others). The extraction of various biomarkers from these sources of information are useful to better understand and to try to quantify how central nervous system is involved. Important applications are in the areas of cognitive control of prostheses and orthoses as well as in the evaluation of complex central functions, like memory, mental states, emotion classification, sleep studies, etc.


Cognitive Engineering, Cognitive control of prostheses or ortheses, Mental processes, Man-Machine Interfaces, Study of emotions, Cognitive Neurophysiological Responses, Neural and cognitive engineering

3.5. Advances in Medical Informatics for HealthCare Applications
Theme Chairs
Efthyvoulos Kyriacou, Frederick University, Cyprus
Silvana Quaglini, University of Pavia, Italy

In Health Care applications medical databases and medical records have recently encountered a great process of change due to the quick progress of methods and technologies which are employed. Let’s think of the concept of a continuos connection with a chronic patient inside but also outside the hospital: therefore important and reliable solution of telemedicine have to be developed. Further, medical robots and other equipment controlling the development of natural language interpretation and an easier communication with the computers, identification of input voice and complex and big data treatment like genomic databases. There is a large variety of new and powerful needs to be fulfilled by the designer and users of modern medical data bases and medical clinical data records.


Medical Informatics, Medical Data Bases, Genomic Databases, Human-Computer Interfaces, Data Infrastructure for Health Applications

3.6. Biotechnolgies: advanced Devices and Sensors
Theme Chairs
Almir Badnjević, Faculty of Engineering and Natural Sciences, International Burch University Sarajevo, Bosnia and Herzegovina
Steffen Leonhardt, RWTH Aachen University, Germany,

The great and important achievements which will be fulfilled in the fascinating area of “Personalised Medicine”, in which patient could be monitored every time, everywhere and for long period of times will be certainly possible only if proper technological implementations will be correctly developed and put into the market. New devices and sensors are needed which must be reliable and well functioning even in problematic but realistic cases of low signal/noise ratio. The peculiarity of devices for medical applications are considered in order to obtain an information which is really significant to the level of diagnosis, therapy and rehabilitation. New European Regulations on Medical Devices and In-Vitro Diagnostics Medical Devices, including Software for Medical Applications, will become mandatory next year (2020), introducing further requirements in respect to the existing relevant Standards based upon existing Directives.


Sensors and Devices for Medical Applications, Medical Devices: Requirements and Regulations; Design of Medical Devices; Safety and Security in Medical Devices; Wearable and Minimally Intrusive Medical Devices; New Medical Devices: Impact and Sustainability; Health Technology Assessment

3.7. Bio-electromagnetic modelling
Theme Chairs
Paolo Ravazzani, Institute of Electronics, Information and Telecommunications, CNR, Milano, Italy
Elisa Francomano, University of Palermo, Italy

The development of models for a better comprehension of electromagnetic activity of the human body is of extreme importance for the conception of new methods of signal and biomarker detection, coupled with innovative numerical strategies, to be added to the more traditional ones. On the other hand, electromagnetic stimulation is of fundamental importance in the area of therapy and rehabilitation. These approaches will make use of parameters obtained from bio-signals and images relative to various sources and various bodily districts and properly integrated. Another aspect is the correct measurement of exposure to EM field in Health environment which is extremely important both in adults and mainly in children.


Bio-Electromagnetic Modelling, Numerical Methods, Electric Stimulation, Magnetic Stimulation; Exposure to EM Field in Health Environment"

Track 4: Smart Grids

Gaetano Zizzo, University of Palermo, Italy
Samuele Grillo, Politectnico di Milano, Italy

4.1. Smart and sustainable islands
Theme Chairs
Enrico De Tuglie, Politecnico di Bari, Italy
Marina Bonomolo, University of Palermo, Italy

Small islands are, in the most of cases, autonomous energy systems not supplied by the main power grid and essentially based on local diesel generators and renewable energy plants. The energy efficiency issue for such systems has become one of the hottest subjects for the EU and various research organizations worldwide. In the last years, many research organizations have extensively studied both the transition of the traditional power system of such islands towards a smart grid structure and the rational utilization of the local resources for hot water production, air-conditioning, heating and other building services. On this base, high quality papers that address the (electric) energy and environment issues are called. The suggested topics are (but not limited to):

  • Penetration of RES-based plants in small islands;
  • Energy efficiency for end-users in small islands;
  • Grid impact of energy-efficiency solutions for end-users;
  • Use of power converters for virtual inertia and fast frequency regulation in small islands;
  • Use of innovative electric and thermal storage systems;
  • Innovative systems for domestic hot water production and air-conditioning in small islands;
  • Energy communities in small islands;
  • Electrification in small islands;
  • BAC and TBM systems applied to final users in small islands;
  • Cogeneration and trigeneration systems;
  • LCA analysis in small islands;
  • Local capacity and flexibility markets;
  • GHG emissions evaluation.


smart islands; small islands; microgrids; smart grids; smart cities; renewable; electric storage; thermal storage; photovoltaics; wind plants; energy efficiency; energy savings; aggregation; BAC systems; GHG emissions.

4.2. Net zero energy systems
Theme Chairs
Giorgio Graditi, ENEA, Italy
Georgios Christoforidis, Western University of Macedonia, Greece

Net zero energy systems (NZESs) are systems designed and operated in a way allowing to reduce, toward zero, the energy demand from fossil fuels and the subsequent GHG emissions. This objective can be achieved thanks to local generating plants based on renewable sources and able to fully meet the yearly energy requirements of the system, thermal and electrical storage systems, improved thermal insulation of buildings and pipelines, high performance domestic hot water producers and air-conditioning systems, Demand Side Management and so on. NZESs are fundamental in an era characterized by the need of reducing GHG emissions and teaching the importance of an ecological use of the available resources. On this basis, high quality papers that address the energy and environment issues discussed above are called. The suggested topics are (but not limited to):

  • Design approach for NZESs;
  • Net-zero energy buildings and neighboroug;
  • Net-zero energy cities;
  • Net-zero energy microgrids;
  • Smart Readiness Indicator (SRI) calculation;
  • Building Automation Control (BAC) and Technical Building Management (TBM) systems applications and future developments;
  • Air-conditioning systems operation and control;
  • Thermal and Electrical storage applications in NZESs;
  • Application of specialized simulation tools to NZESs;
  • NZESs with increased distributed generation from renewables in isolated systems;
  • Techno-economic assessment of NZESs;
  • NZESs: requirements, development and realization challenges;
  • Retrofitting of existing buildings.
  • Optimal grid integration of NZESs


Net-zero energy buildings; Net-zero energy systems; insulation; retrofit; renewables; demand side management; air-conditioning; hot water production; BAC; TBM; SRI.

4.3. The Mediterranean energy hub
Theme Chairs
Tuan-Quoc Tran, CEA-INES, France
Jaser A. Sa'ed, Birzeit University, Palestine

The expected increase in energy needs, expecially in the southern and eastern Mediterranean areas, is challenging the electro-energetic systems of the region. Technical, regulatory, and socioeconomic challenges must be faced for creating a new platform for exchanging energy and values through the sea and promoting the rise of a more interconnected Mediterranean grid. A new meshed electrical grid through the Mediterranean sea, connecting together Countries from Africa, Asia and Europe, will lead to a shared electricity market and the full exploitation of renewable energy sources. In this context, new HVDC and HVAC underwater cable connections will help greatly the share of clean energy from new RES-based plants. In this framework, we encourage the submission of papers dealing with (but not limited to) the following topics:

  • Smart grids in Mediterranean region: Opportunities and Challenges;
  • Assessment of smart grid applications in the Mediterranean region;
  • Microgrids technologies in the Mediterranean region;
  • Energy storage in the Mediterranean region;
  • Support policies for energy sector in the Mediterranean region;
  • HVDC and HVAC connections in the Mediterranean sea;
  • Smart interconnected grids;
  • Underwater cables: technology and new solutions;
  • Solutions for the exploitations of renewable resources in the Mediterranean area;
  • Renewables in South and East Mediterranean regions;
  • Energy from the sea;
  • Shared electricity and gas markets in the Mediterranean area;
  • Regulatory, market, technological and socioeconomical challenges for a real energetic integration in the Mediterranean area.


Mediterranean region; Smart grids; Microgrids; Renewables; HVDC; HVAC; Underwater cables; Electricity market; Capacity market.

4.4. Demand response and prosumers' aggregation
Theme Chairs
Diego Arnone, Engineering SpA, Italy
Franco Grasso, University of Firenze, Italy

In the last few years, demand response (DR) and load aggregation (LA) have become very hot topics due to the great potential that the coordinated management of distributed flexible resources has on power systems’ design and operation. Various demand response policies and aggregation schemes have been proposed worldwide and balancing service providers are rising in a competitive and innovative scenario where a new typology of end-user, the so-called “prosumer”, can impact the electric power system and the electricity market. Moreover, Vehicle-to-Grid and Power-to-Gas solutions are opening new interesting scenarios for DR and LA involving beside classical power system’s actors also stakeholders from transportation and gas-distribution sectors. On this base, high quality papers that address the DR and LA issues are called. The suggested topics are (but not limited to):

  • Demand Response programs (proposal of new programs and real-world implementation);
  • Balancing Service;
  • Optimal Power Flow Strategies;
  • Multi-objective Demand Side Management;
  • Prosumers Aggregation: impact on the grid;
  • Flexibility Markets in the World;
  • Retrofit of existing devices for DR application;
  • Power-to-Gas;
  • Vehicle-to-Grid;
  • Self-consumption optimization control logic;
  • DR in presence of support policies;
  • Impact of load aggregation on the spot price;
  • Control of thermal loads for flexibility provision;
  • Influence of building’s envelope characteristics on controllable thermal loads;
  • Peer-to-peer aggregation;
  • Blockchain technology application to prosumers’ aggregation;
  • Impact of electric storage on distributed flexibility;
  • Ancillary services from distributed resources.


demand response; demand side management; controllable loads; prosumers; flexibility; balancing service; ancillary services; balancing service provider; aggregation; aggregator; support policies; grid impact; electric storage; Power-to-Gas; Vehicle-to-Grid.

4.5. Italian Divertor Tokamak Test Facility [Special Technical Session]
Theme Chairs
Dr. Pietro Zito, ENEA, Italy

DTT facility is part of the general European programme in fusion research. Its specific role is to cover gap on the power exhaust for DEMO. Main tasks are: to test alternative divertor solutions; to improve heat exhaust. This tokamak will be built and installed in Italy at Frascati ENEA laboratories, with superconducting Toroidal Field and Poloidal Field magnets system capable of confining high temperature plasmas (plasma current up to 5.5 MA and magnetic field 6 T) for 100 s flat top plasma current, with heating and current drive power up to 45 MW coupled to plasma. The toroidal field magnetic system is composed by 18 toroidal superconducting magnets that confines the plasma into the vacuum vessel. They are connected in series and fed by a Toroidal Field Power Supply (rated current 50kA and rated voltage 100V), including a crowbar protection system and three Fast Discharge Units (FDU) for quench protection. Furthermore, 12 high current poloidal power supplies (rated current 30kA and rated voltage 1kV) feed 6 central solenoid and 6 poloidal field superconducting magnets, including FDUs and Switching Network Units (SNU) connected in series for the breakdown of plasma. Finally, the heating and current drive systems are composed in particular by the Electron Cyclotron Resonance Heating (ECRH), the Ion Cyclotron Resonance Heating (ICRH) and the Neutral Beam Injection (NBI) and they are all crucial systems for DTT to be DEMO relevant. In this framework, we encourage the submission of papers dealing with (but not limited to) the following topics:
  • Large / medium size tokamak and its main systems
  • Superconducting magnets;
  • High current power supplies;
  • High voltage power supplies;
  • High Voltage AC power cable connection;
  • HV/MV Sub-Station to power both pulsed and stationary electric power systems;
  • Power supply for vertical stabilization of plasma;
  • Quench protection systems;
  • Static Var Compensation (SVC) and Filtering systems;
  • Additional heating and current drive systems.


Tokamak, Superconducting Magnets, High Current and High Voltage Electronic Power Converters, Quench Protection Systems, Additional Heating and Current Drive Systems.

4.6. Distributed Ledger Technology as Key Enabler for Distributed Energy Generation Community (DEGC) [Special Technical Session]
Theme Chairs
Dr. Giuseppe De Marco, Evolvere SpA

Nowadays, the problem of optimization of smart grids, composed of myriads of micro-virtual power plants, is of great concern, from the point of view of the grid authority which must tackle both the variability of injected energy and the management of energy transactions. In this regard, the performance figure of any solution must account for costs versus benefits. Part of the costs are due to the information infrastructure needed for communities of such virtual power plants (VPP), usually made of many so-called prosumers, i.e. users equipped with Renewable Energy Sources (RESs) as Photovoltaic (PV) systems with or without electric storage hardware (batteries). In this context, it has been proven that the DLT can be a viable key enabler for simplifying the management of energy transactions among members of such communities. However, many aspects have to be carefully analysed, such as:
  • energy efficient consensus protocols for safe insertion of transactions record;
  • easy of management from the central management of communities, known as Aggregator;
  • analysis of security risks or attack models in such contexts.
This Special Technical Session is aimed at attracting researchers from academia and industry to present best practices and original solutions grown in the context of the management of distributed energy generation. The topics may include, but are not limited to the following:
  • DLT technology: Protocols, Energy Analysis, Best Practices, User Cases, Attack Models;
  • Environment impact and energy net-balance analysis of DLT and related technology;
  • DLT and Software: Current state-of-the-art of software engineering crafted for the on-field implementation of DEGC;
  • DLT and IoT/IoE: how the DLT can be integrated within the technology around Internet of Things and Everything;
  • Smart Contracts for Energy Systems;
  • Transactive Energy Systems and DLT;
  • Legal Aspects in Blockchain Applications in Energy Systems;
  • EnergyCoins: Crypto currency in the context of energy transactions among members of DEGC;
  • Automation of Energy transaction in Machine-to-Machine contexts;
  • Beyond DLT: alternatives to blockchain.


Demand Response; Distributed Energy Generation Community; distributed ledger; blockchain; aggregation; IoT; IoE; Virtual Power Plant;