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Smart technologies for sustainable and efficient energy conversion and management

Home > Research topics and groups > Smart technologies for sustainable and efficient energy conversion and management

Scope

The main objective of this research line is the development of methodologies, technologies and systems for the energy conversion and management, supporting the novel “smart” paradigms for the generation, distribution and intelligent, efficient and sustainable use of the electric energy (Smart Grid, Smart Building, Smart Vehicle, Smart Factory).
The themes belonging to this research line are all coherent with the European programs defined by H2020, receipt at the Italian level by the PON 2014-2020. Such research themes are thus coherent with the organizational asset defined by the former regulation of CNR, specifically oriented to the European programs in terms of industrial innovations and, consequently, of fall back on the territory.
Furthermore, all the themes belonging to this research line are present, at least partially, in one of the progect areas (AP) of the DIITET (Dipartimento di Ingegneria, ICT E Tecnologie perl’Energia e i Trasporti) – CNR:

• Tecnologie energetiche a basse emissioni;
• Costruzione sostenibile;
• Fabbrica intelligente;
• Veicoli a basso impatto ambientale per un trasporto sostenibile;
• Tecnologie del mare;
• Smart city;
• Robotica e automatica.

The members of this research line are active members of several of the above APs, as well as of several other national and international boards (IEEE Committees, CEI boards, etc.).
The research group has strong scientific collaborations with several national and internation institutions:

• University of Maribor (Slovenia),
• University of Belfort-Montbéliard (Francia),
• University of Picardie Jules Verne (UPJV), Amiens, France
• University of Nottingham (UK)
• Università di Salerno
• Università di Palermo Dipartimento Ricerche Energetiche ed Ambientali (DREAM)
• Università di Palermo Dipartimento di Ingegneria Chimica Gestionale Informatica Meccanica (DICGIM).
• Università degli Studi di Palermo Dipartimento Energia, Ingegneria dell’Informazione e Modelli Matematici (DEIM)
• Università degli Studi di Palermo, Dipartimento di Scienze Psicologiche, Pedagogiche e della Formazione
• Università degli Studi di Salerno, Dipartimento di Ingegneria dell’Informazione, Ingegneria Elettrica e Matematica Applicata (DIEM)
• ARCA – Consorzio per l’Applicazione della Ricerca e la Creazione di Aziende innovative, incubatore di imprese c/o UNIPA
• Gebze Technical University (Turkey)
• Istituto Superiore Statale “Mario Rutelli”, Palermo
• Servizio Informativo Agrometeorologico Siciliano, Assessorato Regionale Risorse Agricole e Alimentari, Dipartimento Interventi Infrastrutturali.
• The University of South Pacific, Fiji Islands
• Grenoble Institute of Technology
  • Smart energy conversion for low carbon generation and for electrical storage
  • Smart powertrains for green mobility and factory automation
  • Smart microgrids for efficient use of energy in smart buildings and green vehicles

Subtopics

Smart energy conversion for low carbon generation and for electrical storage

This research subtopic
– Static and dynamic models and related parameter estimation (system identification) techniques of:
1) photovoltaic (PV) sources bases on silicon or innovative materials;
2) wind/marine current turbines, even in presence of ground/sea bottom effects;
3) rotating and linear electric generators;
4) fuel cell systems (FCS);
4) storage systems (batteries, supercapacitors).
– Design and experimental prototyping of several typologies and topologies of electronic power converters with high dynamic performance and high efficiency for the interface between the smart micro-grid and the main power network, with renewables sources based generators and storage systems (batteries, supercapacitors): AC-DC, DC-AC, AC-AC and DC-DC converters.
– Design and experimental prototyping of rotating and linear electric machines for applications related to the renewables sources based power generation.
– Design, development and experimental implementation on embedded platforms of control and observations systems, by linear and non-linear techniques for renewables sources based power generation.
– Implementation and experimental validation of maximum power point tracking techniques (MPPTs), of both the P&O (Perturb and Observe) and neural type for PV/wind/marine current generators.
– Implementation and experimental validation of electrical losses minimization techniques (ELMTs),
– EMI reduction in power converters by means of active/passive filters and pulsewidth modulation (PWM) techniques.
Smart powertrains for green mobility and factory automation

– Design and experimental prototyping of several typologies and topologies of electronic power converters and electrical machines, both rotating and linear, for the propulsion and actuation systems of smart vehicles in transport systems: trains, MAGLEVs, metro, people movrs, electric and hybrid electric cars, electric bikes, electric motorbikes and electric ships
– Design and experimental prototyping of several typologies and topologies of electronic power converters and electrical machines, both rotating and linear in the actuation systems for appliances and factory automation: robotic manipulators, CNC machines.
– Design, development and experimental implementation on embedded platforms of control and observations systems, by linear and non-linear techniques for smart vehicles, appliances and factory automation.
– Innovative techniques and devices for Power Quality and the reduction of the EMI in electric drives: Active Power Filters (APFs) and EMI passive and active filters.
– Electrical losses minimization techniques (ELMT) ans electrical losses minimization techniques (ELMTs) in electrical drives.
– Sensorless (encoderless) techniques of rotating and linear motor drives.
Smart microgrids for efficient use of energy in smart buildings and green vehicles

– Study DC and hybrid AC-DC distribution networks in smart micro-grids for applications in residential/commercial buildings as well as in smart vehicles, including ships.
– Data reconstruction and forecasting techniques of electric/meteo-climatic data for the forecasting of the electric energy production capability from renewable sources, the load demand as well as the intelligent management of electric power grids.
– Smart micro-grid modelling for applications in residential/commercial buildings as well as in smart vehicles, including ships.
– Development of control systems of smart micro-grids (Master-slave control, droop control).
– Development of energy management systems (EMS) of smart micro-grids.

Selected projects

Project TecBIA

Research contract signed with Fincantieri S.p.A. under a project funded by MISE, PON I&C 2014-2020, with decree D.M. 01/06/2016.
Topic: developing innovative technologies to generate and manage electrical power on-board, integration of fuel cell systems (FCS) on-board and development of energy management systems 
Project duration: 31/10/2018 – 30/10/2021 (ongoing)
Project Leadership Tecnologica – GEI

Research contract signed with Fincantieri S.p.A. under a project funded by MIT with decree n. 196 / 10.06.2015.
Topic: developing innovative technologies for electrical generation onboard, smart micro-grid architecture conception, development of energy management systems
Project duration: from 01/01/2017 to 31/12/2018
Project TESEO – Tecnologie ad alta Efficienza per la Sostenibilità Energetica ed ambientale On-board

PON n. PON02_00153_2939517 funded by the Italian Ministry for the Instruction, University and Research (MIUR) with decree prot. 635/ric of 08/10/2012
Topic: development and integration of new green generation systems on-board, integration of renewable energy based generators and fuel cells on board, on-board micro-grid control and management
Project duration: from 01/07/2012 to 31/12/2015
Project RITMARE – La Ricerca Italiana per il Mare

Flagship project funded by the Italian Ministry for the Instruction, University and Research (MIUR)
Topic: development of new green technologies to be integrated on board, hybrid propulsion, noise reduction, electromagnetic compatibility
Project duration: from 01/01/2012 to 31/12/2016
Project Tecnologie avanzate per l’Efficienza Energetica e la Mobilità ad impatto zero: una sfida per i territori a vocazione turistica del Mezzogiorno

“CNR per il Mezzogiorno – Attività di ricerca finalizzate allo sviluppo del tessuto produttivo nelle regioni del Mezzogiorno” with comma 44, art. 2, L. 23 dicembre 2009 n.191
Topic: development of technological solutions for the management of serveral energetic sources
Project duration: from 07/07/2011 to 30/06/2016
Project NEWEST

Research contract signed with Consorzio Interuniversitario Nazionale per la Scienza e Tecnologia dei Materiali (INSTM).
Topic: designing and building a prototype of micro-WECS
Project duration: from 09/01/2015 to 04/07/2016
Project MIUR 211/2004 – Automazione della gestione intelligente della generazione distribuita di energia elettrica da fonti rinnovabili e non inquinanti anche con riferimento alle compatibilità interne e ambientali, all’affidabilità e alla sicurezza

Topic: Develoment of technological solutions for optimizing renewable sources based generation systems: technologies and control systems related to photovoltaic and wind generation systems, including msaximum power point tracking (MPPT)
Project duration: from 07/07/2004 to 07/07/2008

People

Research Scientists and Engineers
Marcello Pucci,
Maria Carmela Di Piazza,
Massimiliano Luna,
Giuseppe Marsala.
Angelo Accetta,
Giuseppe La Tona,
Other Personnel
Giuseppe Scordato,
Antonio Sauro,

Selected publications

  • M. Pucci, “State-Space Space-Vector Model of the Induction Motor Including Magnetic Saturation and Iron Losses”, IEEE Transactions on Industry Applications, Vol. 55, n. 4, July/August 2019, pp. 3453-3468, Electronic ISSN: 1939-9367 DOI: 10.1109/TIA.2019.2902327.
  • G. La Tona, M. Luna, M. C. Di Piazza, M. Pucci, A. Accetta, “Development of a High-Performance, FPGA-based Virtual Anemometer for Model-Based MPPT of Wind Generators”, MDPI Electronics, Section Artificial Intelligence, Special Issue “Intelligent Modelling and Control in Renewable Energy Systems”. G La Tona, M Luna, A Di Piazza, MC Di Piazza, “Towards the Real-World Deployment of a Smart Home EMS: A DP Implementation on the Raspberry Pi”, Applied Sciences 9 (10), 2120, 2019.
  • S. M. Collura, D. Guilbert, G. Vitale, M. Luna, F. Alonge, F. D’Ippolito, A. Scipioni. “Design and Experimental Validation of a High Voltage Ratio DC/DC Converter for Proton Exchange Membrane Electrolyzer Applications”, International Journal of Hydrogen Energy, Elsevier, vol. 44, no. 14, pp. 7059-7072, 2019.
  • A. Accetta, M. C. Di Piazza, M. Luna, M. Pucci, “Electrical Losses Minimization of Linear Induction Motors Considering the Dynamic End-Effects”, IEEE Transactions on Industry Applications, Vol. 55, n. 2, March/April 2019, pp. 1561-1573, Electronic ISSN: 1939-9367, DOI: 10.1109/TIA.2018.2878537.
  • A. Accetta,M. Pucci, “Energy Management System in DC Micro-Grids of Smart Ships: Main Gen-Set Fuel Consumption Minimization and Fault compensation”, IEEE Transactions on Industry Applications, Vol. 55, n. 3, May/June 2018, pp. 3097-3113 DOI: 10.1109/TIA.2019.2896532
  • Boldea, W. Xu, M. Pucci, “Design and Control for Linear Machines, Drives, and MAGLEVs – Part I”, IEEE Transactions on Industrial Electronics, Special Section Design and Control for Linear Machines, Drives, and MAGLEVs, IEEE Transactions on Industrial Electronics, Vol. 65, n. 9, September 2018, pp. 7423-7425, Electronic ISSN: 1557-9948, DOI: 10.1109/TIE.2018.2823518.
  • M. C. Di Piazza, M. Luna, M. Pucci “Electrical Loss Minimization Technique for Wind Generators based on a Comprehensive Dynamic Modelling of Induction Machine”, IEEE Transactions on Industry Applications, Vol. 53, n.4, July/August 2017, pp. 3696-3706, ISSN: 0093-999, DOI: 10.1109/TIA.2017.2691307.
  • M.C. Di Piazza, M. Luna, G. Petrone, G. Spagnuolo, “Translation of the single-diode PV model parameters identified by using explicit formulas”, IEEE Journal of Photovoltaics 7 (4), 1009-1016, 2017
  • M.C. Di Piazza, G. La Tona, M. Luna, A. Di Piazza, “A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty”, Energy and Buildings 139, 1-9, 2017
  • M. C. Di Piazza, M. Pucci, “Induction-Machines-based Wind Generators with Neural Maximum Power Point Tracking and Minimum Losses Techniques”, IEEE Transactions on Industrial Electronics, Vol. 63, n. 2, February 2016, pp. 944-955, ISSN: 0278-0046, DOI: 10.1109/TIE.2015.2478746.
  • G. Ala, G.C. Giaconia, G. Giglia, M.C. Di Piazza, G Vitale, “Design and performance evaluation of a high power-density EMI filter for PWM inverter-fed induction-motor drives”, IEEE Transactions on Industry Applications 52 (3), 2397-2404, 2016.
  • A. Di Piazza, M.C. Di Piazza, G. Vitale, “Solar and wind forecasting by NARX neural networks”, Renewable Energy and Environmental Sustainability 1, 39, 2016
  • A. Accetta, M. Cirrincione, M. Pucci, G. Vitale, “Closed-Loop MRAS Speed Observer for Linear Induction Motor Drives”, IEEE Transactions on Industry Applications, vol. 51, n. 3, May/June 2015, pp. 2279-2290, ISSN: 0093-9994, DOI: 10.1109/TIA.2014.2375377.
  • M. Pucci, “State Space-Vector Model of Linear Induction Motors”, IEEE Transactions on Industry Applications, vol. 50, n. 2, January/February 2014, pp. 195-207, ISSN: 0093-9994, DOI: 10.1109/TIA.2013.2266351.
  • A. Accetta, M. Cirrincione, M. Pucci, G. Vitale, “Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects”, IEEE Transactions on Industry Applications, vol. 50, n. 3, May/June 2014, pp. 1891-1904. ISSN: 0093-9994, DOI: 10.1109/TIA.2013.2288429.
  • M.C. Di Piazza, M. Luna, G. Vitale, “EMI reduction in DC-fed electric drives by active common-mode compensator”, IEEE Transactions on Electromagnetic Compatibility 56 (5), 1067-1076, 2014.
  • M.C. Di Piazza, M. Luna, G. Vitale, “Dynamic PV model parameter identification by least-squares regression”, IEEE Journal of Photovoltaics 3 (2), 799-806, 2013
  • A. Accetta, M. Cirrincione, M. Pucci, G. Vitale, “Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering”, IEEE Transactions on Industrial Electronics, Vol. 59, n. 3, March 2012, pp. 1355-1366 Special Section Fractional Horsepower Electric Drives, ISSN: 0278-0046, DOI: 10.1109/TIE.2011.2167729.
  • A. Accetta, M. Cirrincione, M. Pucci, “TLS EXIN based neural sensorless control of a high dynamic PMSM”, Control Engineering Practice, Elsevier, 20, 2012, pp. 725–732, ISSN: 09670661, DOI: 10.1016/j.conengprac.2012.03.012. 
  • M. Cirrincione, M. Pucci, G. Vitale, “Growing Neural Gas (GNG) based Maximum Power Point Tracking for High Performance Wind Generator with Induction Machine”, IEEE Transactions on Industry Applications, vol. 47, n. 2, March/April 2011, pp. 861-872, ISSN: 0093-9994, DOI: 10.1109/TIA.2010.2102994.
  • A. Di Piazza, M.C. Di Piazza, A. Ragusa, G. Vitale, “Environmental data processing by clustering methods for energy forecast and planning”, Renewable Energy 36 (3), 1063-1074, 2011.
  • M.C. Di Piazza, A. Ragusa, G. Vitale,” Effects of common-mode active filtering in induction motor drives for electric vehicles”, IEEE Transactions on Vehicular Technology 59 (6), 2664-267, 2011.
  • M. Luna, M. Pucci and G. Vitale. “Design of a Simple, Effective and Low Cost Micro-Wind Energy Conversion System”. The Open Renewable Energy Journal. Vol. 4, 2011. Special Issue on Micro Wind-Power Applications, pp. 34-41. Bentham Science Publishers, 2011. ISSN 1876-3871
  • M.C. Di Piazza, G Vitale, “Photovoltaic field emulation including dynamic and partial shadow conditions” Applied Energy, 87 (3), 814-82 2010
  • M. Cirrincione, M. Pucci, G. Vitale, A. Miraoui, “Current Harmonic Compensation by a Single-Phase Shunt Active Power Filter Controlled by Adaptive Neural Filtering”, IEEE Transactions on Industrial Electronics, Vol. 56, n. 8, August 2009, pp. 3128-3143, ISSN: 0278-0046, DOI: 10.1109/TIE.2009.2022070.
  • M. Cirrincione , M. Pucci , G. Vitale, “A Single-Phase DG Generation Unit with Shunt Power Filter Capability by Adaptive Neural Filtering”, IEEE Transactions on Industrial Electronics, Vol. 55, N. 5, May 2008, pp. 2093-2110, ISSN: 0278-0046, DOI: 10.1109/TIE.2008.918642.
  • M.C . Di Piazza, G. Tinè, G. Vitale, “An improved active common-mode voltage compensation device for induction motor drives”, IEEE Transactions on Industrial Electronics 55 (4), 1823-1834, 2008
  • M. Cirrincione, M. Pucci, “Sensorless Direct Torque Control of an Induction Motor by a TLS-based MRAS Observer with Adaptive Integration”, Automatica (Elsevier), Adaptive and Intelligent Control, n. 41, Novembre 2005, pp. 1843-1854, Regular Paper, ISSN: 0005-1098, DOI: 10.1016/j.automatica.2005.06.004.
  • M. Sumner, B. Palethorpe, D.W.P. Thomas, P. Zanchetta, M.C. Di Piazza, “A technique for power supply harmonic impedance estimation using a controlled voltage disturbance”, IEEE Transactions on Power Electronics, 17 (2), 207-215 (2002)

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