Abstract
The reliability of the sizing of storage for renewable energy system sis strongly dependent on the selection of the
underlaying data base. Concerning irradiance data sets, it is common practice to select data sets that reflect the
distribution characteristics of respective measured data in a realistic way. Which statistical measures of the data
sets beyond the distribution characteristics are of relevance for a realistic system modelling – especially the storage
sizing - is less in focus This contribution intends to focus on measures for the sequential characteristics of the data
sets, influencing the sizing of a the storage capacity.
underlaying data base. Concerning irradiance data sets, it is common practice to select data sets that reflect the
distribution characteristics of respective measured data in a realistic way. Which statistical measures of the data
sets beyond the distribution characteristics are of relevance for a realistic system modelling – especially the storage
sizing - is less in focus This contribution intends to focus on measures for the sequential characteristics of the data
sets, influencing the sizing of a the storage capacity.
| Original language | English |
|---|---|
| Number of pages | 9 |
| Publication status | Published - 25 Sept 2022 |
| Event | Eurosun 2022 - University of Kassel, Kassel, Germany Duration: 25 Sept 2022 → 28 Oct 2022 https://www.eurosun2022.org/ |
Conference
| Conference | Eurosun 2022 |
|---|---|
| Country/Territory | Germany |
| City | Kassel |
| Period | 25/09/22 → 28/10/22 |
| Internet address |
Keywords
- solar energy systems
- energy meteorology
- meteorological data characteristics
- storage sizing
- renewable energy systems
