Photovoltaics
We test and model photovoltaic systems to identify the system's "DNA", by using newly developed models and, in collaboration with our partners, artificial neural network techniques. This enables fine monitoring of the PV system performance evolution due to aging, soiling, light soaking, as well as fault analysis, prediction of the energy produced.
Publications and Presentations
S Boulhidja, A Mellit, S Voswinckel, V Lughi, A Ciocia, F Spertino et al., “Experimental evidence of PID effect on CIGS photovoltaic modules” Energies 13 (3), 537 (2020)
A Mellit, A Massi Pavan, E Ogliari, S Leva, V Lughi, “Advanced Methods for Photovoltaic Output Power Forecasting: A Review”, Applied Sciences 10 (2), 487 (2020)
Nespoli A, Ogliari E, Leva S, Massi Pavan A, Mellit A, Lughi V, Dolara A, “Day-ahead photovoltaic forecasting: A comparison of the most effective techniques”, Energies 12 (9), 1621 (2019)
Massi Pavan A, Vergura S, Mellit A, Lughi V, “Explicit empirical model for photovoltaic devices. Experimental validation”, Solar Energy 155, pp 647-653 (2017)
N Boutana, A Mellit, V Lughi, AM Pavan, "Assessment of implicit and explicit models for different photovoltaic modules technologies", Energy 122, 128-143 (2017)
Chine W, Mellit A, Lughi V, Sulligoi G, Massi Pavan A, "A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks". Renewable Energy 90, pp 501-512 (2016)
Massi Pavan A, Tessarolo A, Barbini N, Mellit A, Lughi V, “The effect of manufacturing mismatch on energy production for large-scale photovoltaic plants”. Solar Energy 117, pp 282-289 (2015)
Lughi V, Fraleoni Morgera A, “Frontiers of Photovoltaics – a materials perspective”. ICCEP – International Conference on Clean Electrical Power, Taormina (Italy), June 2015
Mellit A, Massi Pavan A, Lughi V, "Short-term forecasting of power production in a large-scale photovoltaic plant". Solar Energy 105, pp. 401-413 (2014)
Massi Pavan A, Mellit A, Lughi V, “Explicit empirical model for general photovoltaic devices: Experimental validation at maximum power point”. Solar Energy 101, pp. 105-116 (2014)
Barbini N, Lughi V, Mellit A, Massi Pavan A, Tessarolo A, "On the impact of photovoltaic module characterization on the prediction of PV plant productivity". Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth International
Massi Pavan A, Mellit A, De Pieri D and Lughi V, “A study on the mismatch effect due to the use of different photovoltaic modules classes in large-scale solar parks”. Prog. Photovolt: Res. Appl. 22, pp. 332–345 (2014). First published online Sept 2012
Lughi V. (2009), Fisica della conversione fotovoltaica. Manuale di Energia Solare. Tecniche Nuove