TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Barry, James
A1  - Böttcher, Dirk
A1  - Grabenstein, Johannes
A1  - Pfeilsticker, Klaus
A1  - Herman-Czezuch, Anna
A1  - Kimiaie, Nicola
A1  - Meilinger, Stefanie
A1  - Schirrmeister, Christopher
A1  - Gödde, Felix
A1  - Mayer, Bernhard
A1  - Deneke, Hartwig
A1  - Witthuhn, Jonas
A1  - Hofbauer, Philipp
A1  - Struck, Matthias
T1  - Irradiance and atmospheric optical properties from photovoltaic power data: model improvements and first results
T2  - EGU General Assembly 2021, Gather Online, 19-30 April 2021
N2  - Photovoltaic (PV) power data are a valuable but as yet under-utilised resource that could be used to characterise global irradiance with unprecedented spatio-temporal resolution. The resulting knowledge of atmospheric conditions can then be fed back into weather models and will ultimately serve to improve forecasts of PV power itself. This provides a data-driven alternative to statistical methods that use post-processing to overcome inconsistencies between ground-based irradiance measurements and the corresponding predictions of regional weather models (see for instance Frank et al., 2018). This work reports first results from an algorithm developed to infer global horizontal irradiance as well as atmospheric optical properties such as aerosol or cloud optical depth from PV power measurements.
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-54013
U6  - https://doi.org/10.5194/egusphere-egu21-7581
DO  - https://doi.org/10.5194/egusphere-egu21-7581
PB  - Copernicus GmbH
ER  -