Ontology highlight
ABSTRACT:
SUBMITTER: Ripalda JM
PROVIDER: S-EPMC6277435 | biostudies-other | 2018 Dec
REPOSITORIES: biostudies-other
Nature communications 20181203 1
Due to spectral sensitivity effects, using a single standard spectrum leads to a large uncertainty when estimating the yearly averaged photovoltaic efficiency or energy yield. Here we demonstrate how machine learning techniques can reduce the yearly spectral sets by three orders of magnitude to sets of a few characteristic spectra, and use the resulting proxy spectra to find the optimal solar cell designs maximizing the yearly energy production. When using standard conditions, our calculated eff ...[more]