A Kriging-Based Partial Shading Analysis in a Large Photovoltaic Field for Energy Forecast (Articolo in rivista)

Type
Label
  • A Kriging-Based Partial Shading Analysis in a Large Photovoltaic Field for Energy Forecast (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • A. Di Piazza; M. C. Di Piazza; G.Vitale (2009)
    A Kriging-Based Partial Shading Analysis in a Large Photovoltaic Field for Energy Forecast
    in Renewable energy & power quality journal; the European Association for the Development of Renewable Energies, Environment and Power Quality, vigo (Spagna)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • A. Di Piazza; M. C. Di Piazza; G.Vitale (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.icrepq.com/RE&PQJ-7.html (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 7 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Università degli Studi di Palermo Dipartimento di Ingegneria Idraulica e Applicazioni Ambientali (DIIAA) Viale delle Scienze - 90128 PALERMO, ITALY Consiglio Nazionale delle Ricerche Istituto di Studi sui Sistemi Intelligenti per l'Automazione (ISSIA - CNR), sezione di Palermo, Via Dante, 12 90141 PALERMO, ITALY (literal)
Titolo
  • A Kriging-Based Partial Shading Analysis in a Large Photovoltaic Field for Energy Forecast (literal)
Abstract
  • In this paper the use of the kriging estimation method for the study of partial shading in photovoltaic fields is investigated. Different cases of shadowing spatial distribution on the PV field surface, due to different relative positions between the plant and some clouds, are studied. The adopted method gives a spatial interpolation of the shadowing so that its distribution over all the surface can be obtained on the basis of a limited number of experimental data. In all cases the kriging estimates are nearly the same as the observed data, also when a strongly reduced experimental observations are available. The accuracy of the estimates is also confirmed by Q-1 and double kriging cross validation schemes. The followed approach allows a cheaper and simpler characterization of the PV plant output power allowing energy forecast. (literal)
Editore
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Editore di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it