In this work we propose a new sensor concept to evaluate the degradation of PV arrays due to soiling. It is based on I-V curve analysis coupled with artificial vision inspection of a reference PV module to quantify and identify the type of dirt. In order to assess the usefulness of this approach in the automatic scheduling of maintenance interventions in smart-grid PV modules, we developed a Simulink model of a DC nanogrid to test different control strategies. Early experimental results are also shown demonstrating the feasibility of the approach.
Smart soiling sensor for PV modules / Simonazzi, M.; Chiorboli, G.; Cova, P.; Menozzi, R.; Santoro, D.; Sapienza, S.; Sciancalepore, C.; Sozzi, G.; Delmonte, N.. - In: MICROELECTRONICS RELIABILITY. - ISSN 0026-2714. - 114:(2020), p. 113789. [10.1016/j.microrel.2020.113789]
Smart soiling sensor for PV modules
Simonazzi, M.;Chiorboli, G.;Cova, P.;Menozzi, R.;Santoro, D.;Sapienza, S.;Sciancalepore, C.;Sozzi, G.;Delmonte, N.
2020-01-01
Abstract
In this work we propose a new sensor concept to evaluate the degradation of PV arrays due to soiling. It is based on I-V curve analysis coupled with artificial vision inspection of a reference PV module to quantify and identify the type of dirt. In order to assess the usefulness of this approach in the automatic scheduling of maintenance interventions in smart-grid PV modules, we developed a Simulink model of a DC nanogrid to test different control strategies. Early experimental results are also shown demonstrating the feasibility of the approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
