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| Hauptseite > Publikationsdatenbank > DeLoop: Decomposition-based Long-term operational optimization of energy systems with time-coupling constraints > print |
| Hauptseite > Publikationsdatenbank > DeLoop: Decomposition-based Long-term operational optimization of energy systems with time-coupling constraints > print |
| 001 | 889896 | ||
| 005 | 20240709081956.0 | ||
| 024 | 7 | _ | |a 10.1016/j.energy.2020.117272 |2 doi |
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| 100 | 1 | _ | |a Baumgärtner, Nils |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a DeLoop: Decomposition-based Long-term operational optimization of energy systems with time-coupling constraints |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2020 |b Elsevier Science |
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| 520 | _ | _ | |a Long-term operational optimization of energy systems results in challenging, large-scale problems. These large-scale problems can be directly decomposed into smaller subproblems, in the absence of time-coupling constraints and variables. However, time-coupling is common in energy systems, e. g. due to (seasonal) energy storage and peak-power prices. To solve time-coupled long-term operational optimization problems, we propose the method DeLoop for the Decomposition-based Long-term operational optimization of energy systems with time-coupling. DeLoop calculates feasible solutions (upper bounds) by decomposing the operational optimization problem into smaller subproblems. The solutions of these subproblems are recombined to obtain a feasible solution for the original long-term problem. To evaluate the quality of the feasible solutions, DeLoop computes lower bounds by linear programming relaxation. DeLoop iteratively decreases the number of subproblems and employs the Branch-and-Cut procedure to tighten the bounds. In a case study of an energy system, DeLoop converges fast, outperforming a commercial state-of-the-art solver by a factor of 32. |
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| 700 | 1 | _ | |a Shu, David Yang |0 P:(DE-Juel1)176240 |b 1 |
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| 700 | 1 | _ | |a Hennen, Maike |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Hollermann, Dinah Elena |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Bardow, André |0 P:(DE-Juel1)172023 |b 5 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1016/j.energy.2020.117272 |g Vol. 198, p. 117272 - |0 PERI:(DE-600)2019804-8 |p 117272 - |t Energy |v 198 |y 2020 |x 0360-5442 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/889896/files/DeLoop_Revised%2013%20January%202020.pdf |y Published on 2020-03-03. Available in OpenAccess from 2022-03-03. |
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