Refine
Year of publication
Document Type
- Conference Proceeding (1089)
- Article (unreviewed) (558)
- Article (reviewed) (529)
- Part of a Book (453)
- Book (222)
- Other (138)
- Contribution to a Periodical (123)
- Patent (94)
- Report (62)
- Letter to Editor (30)
- Doctoral Thesis (26)
- Working Paper (7)
- Periodical Part (4)
- Study Thesis (2)
- Image (1)
- Moving Images (1)
Conference Type
- Konferenzartikel (856)
- Konferenz-Abstract (153)
- Sonstiges (40)
- Konferenz-Poster (31)
- Konferenzband (13)
Language
- German (1733)
- English (1594)
- Other language (5)
- Russian (3)
- Multiple languages (2)
- French (1)
- Spanish (1)
Has Fulltext
- no (3339) (remove)
Keywords
- Digitalisierung (39)
- RoboCup (32)
- Dünnschichtchromatographie (26)
- Arbeitszeugnis (22)
- Finite-Elemente-Methode (22)
- Energieversorgung (21)
- Kommunikation (21)
- Management (19)
- Industrie 4.0 (18)
- Machine Learning (18)
Institute
- Fakultät Maschinenbau und Verfahrenstechnik (M+V) (786)
- Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021) (717)
- Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) (704)
- Fakultät Wirtschaft (W) (558)
- Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) (390)
- INES - Institut für nachhaltige Energiesysteme (178)
- Fakultät Medien (M) (ab 22.04.2021) (172)
- ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik (133)
- IMLA - Institute for Machine Learning and Analytics (72)
- ACI - Affective and Cognitive Institute (57)
Open Access
- Closed Access (1241)
- Open Access (865)
- Closed (532)
- Bronze (189)
- Diamond (53)
- Gold (11)
- Hybrid (11)
- Grün (7)
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.