TY  - CHAP
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.
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  -