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| 001 | 877631 | ||
| 005 | 20240709081916.0 | ||
| 024 | 7 | _ | |a 10.1016/j.compchemeng.2018.01.023 |2 doi |
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| 100 | 1 | _ | |a Bahl, Björn |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Rigorous synthesis of energy systems by decomposition via time-series aggregation |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2018 |b Elsevier Science |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Lützow, Julian |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Shu, David |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Hollermann, Dinah Elena |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Lampe, Matthias |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Hennen, Maike |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Bardow, André |0 P:(DE-Juel1)172023 |b 6 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1016/j.compchemeng.2018.01.023 |g Vol. 112, p. 70 - 81 |0 PERI:(DE-600)1499971-7 |p 70 - 81 |t Computers & chemical engineering |v 112 |y 2018 |x 0098-1354 |
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