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International Photovoltaic Modeling Intercomparison [Slides]

Theristis, Marios; Stein, Joshua S.; Riedel-Lyngskaer, Nicholas; Deville, Lelia; Barrie, David; Campanelli, Mark; Daxini, Rajiv; Driesse, Anton; Hobbs, William B.; Hodges, Heather; Ledesma, Javier R.; Lokhat, Ismael; Mccormick, Brendan; Bin MengBin; Micheli, Leonardo; Miller, Bill; Motta, Ricardo; Noirault, Emma; Ovaitt, Silvana; Parker, Megan; Polo, Jesus; Powell, Daniel; Del Pozo, Miguel A.; Prilliman, Matthew; Ransome, Steve; Schneider, Martin; Schnierer, Branislav; Tian, Bowen; Werner, Frederik; Williams, Robert; Wittmer, Bruno; Zhao, Changrui

Irradiance transposition models seem to perform well, except the Isotropic with -11.25 W/m2 underestimation. Most temperature models could not capture behavior when ΔΤ between module and ambient is negative. Uncertainties due to derate factors: modelers overbudgeted resulting in significant power underestimation; maybe ~10% is appropriate for commercial systems but not lab-scale? Most software and models cluster together showing good reproducibility among participants. Modeler’s skills seem to be more important than the PV model itself (flat efficiency with irradiance, positive power temperature coefficients, etc.). Results and best practices will be communicated in a journal article.