TY - CPAPER U1 - Konferenzveröffentlichung A1 - Barry, James A1 - Herman-Czezuch, Anna A1 - Fischer, Daniel A1 - Meilinger, Stefanie A1 - Yousif, Rone A1 - Gödde, Felix A1 - Bergenthal, Alexander T1 - Photovoltaic-battery systems as irradiance sensors: first results of a prototype study T2 - EMS Annual Meeting Abstracts N2 - In view of the rapid growth of solar power installations worldwide, accurate forecasts of photovoltaic (PV) power generation are becoming increasingly indispensable for the overall stability of the electricity grid. In the context of household energy storage systems, PV power forecasts contribute towards intelligent energy management and control of PV-battery systems, in particular so that self-sufficiency and battery lifetime are maximised. Typical battery control algorithms require day-ahead forecasts of PV power generation, and in most cases a combination of statistical methods and numerical weather prediction (NWP) models are employed. The latter are however often inaccurate, both due to deficiencies in model physics as well as an insufficient description of irradiance variability. Y1 - 2021 UN - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-58175 U6 - https://doi.org/10.5194/ems2021-392 DO - https://doi.org/10.5194/ems2021-392 VL - 18 SP - 392 S1 - 1 PB - Copernicus GmbH ER -