TY  - JOUR
AU  - Hoffmann, Maximilian
AU  - Kotzur, Leander
AU  - Stolten, Detlef
TI  - The Pareto-optimal temporal aggregation of energy system models
JO  - Applied energy
VL  - 315
SN  - 0306-2619
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2022-02166
SP  - 119029 -
PY  - 2022
AB  - The growing share of intermittent renewable energy sources, storage technologies, and the increasing degree of so-called sector coupling necessitates optimization-based energy system models with high temporal and spatial resolutions, which significantly increases their runtimes and limits their maximum sizes. In order to maintain the computational viability of these models for large-scale application cases, temporal aggregation has emerged as a technique for reducing the number of considered time steps by reducing the original time horizon down to fewer, more representative ones.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000793663600002
DO  - DOI:10.1016/j.apenergy.2022.119029
UR  - https://juser.fz-juelich.de/record/907697
ER  -