Refine
Year of publication
- 2022 (1)
Document Type
- Conference Proceeding (1) (remove)
Conference Type
- Konferenzartikel (1)
Language
- English (1) (remove)
Has Fulltext
- no (1)
Is part of the Bibliography
- yes (1)
Keywords
- Solar Radiation (1) (remove)
Institute
Open Access
- Closed (1)
Solar energy plays a central role in the energy transition. Clouds generate locally large fluctuations in the generation output of photovoltaic systems, which is a major problem for energy systems such as microgrids, among others. For an optimal design of a power system, this work analyzed the variability using a spatially distributed sensor network at Stuttgart Airport. It has been shown that the spatial distribution partially reduces the variability of solar radiation. A tool was also developed to estimate the output power of photovoltaic systems using irradiation time series and assumptions about the photovoltaic sites. For days with high fluctuations of the estimated photovoltaic power, different energy system scenarios were investigated. It was found the approach can be used to have a more realistic representation of aggregated PV power taking spatial smoothing into account and that the resulting PV power generation profiles provide a good basis for energy system design considerations like battery sizing.