TY  - JOUR
AU  - Kotzur, Leander
AU  - Markewitz, Peter
AU  - Robinius, Martin
AU  - Stolten, Detlef
TI  - Time Series Aggregation for Energy Systems Design: Modeling of Seasonal Storage
JO  - Applied energy
VL  - 213
SN  - 0306-2619
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2017-07729
SP  - 123 - 135
PY  - 2017
AB  - The optimization-based design of renewable energy systems is a computationally demanding task because of the high temporal fluctuation of supply and demand time series. In order to reduce these time series, the aggregation of typical operation periods has become common. The problem with this method is that these aggregated typical periods are modeled independently and cannot exchange energy. Therefore, seasonal storage cannot be adequately taken into account, although this will be necessary for energy systems with a high share of renewable generation.To address this issue, this paper proposes a novel mathematical description for storage inventories based on the superposition of inter-period and intra-period states. Inter-period states connect the typical periods and are able to account their sequence. The approach has been adopted for different energy system configurations. The results show that a significant reduction in the computational load can be achieved also for long term storage-based energy system models in comparison to optimization models based on the full annual time series.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000425576900011
DO  - DOI:10.1016/j.apenergy.2018.01.023
UR  - https://juser.fz-juelich.de/record/840174
ER  -