TY  - JOUR
AU  - Bahl, Björn
AU  - Lützow, Julian
AU  - Shu, David
AU  - Hollermann, Dinah Elena
AU  - Lampe, Matthias
AU  - Hennen, Maike
AU  - Bardow, André
TI  - Rigorous synthesis of energy systems by decomposition via time-series aggregation
JO  - Computers & chemical engineering
VL  - 112
SN  - 0098-1354
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2020-02346
SP  - 70 - 81
PY  - 2018
AB  - The synthesis of complex energy systems usually involves large time series such that a direct optimization is computationally prohibitive. In this paper, we propose a decomposition method for synthesis problems using time-series aggregation. To initialize the method, the time series is aggregated to one time step. A lower bound is obtained by relaxing the energy balances and underestimating the energy demands leading to a relaxed synthesis problem, which is efficiently solvable. An upper bound is obtained by restricting the original problem with the full time series to an operation problem with a fixed structure obtained from the lower bound solution. If the bounds do not satisfy the specified optimality gap, the resolution of the time-series aggregation is iteratively increased. The decomposition method is applied to two real-world synthesis problems. The results show the fast convergence of the decomposition method outperforming commercial state-of-the-art optimization software.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000427486800008
DO  - DOI:10.1016/j.compchemeng.2018.01.023
UR  - https://juser.fz-juelich.de/record/877631
ER  -