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000877633 1001_ $$0P:(DE-HGF)0$$aBaumgärtner, Nils$$b0
000877633 1112_ $$a13th International Symposium on Process Systems Engineering (PSE 2018)$$cSan Diego$$d2018-07-01 - 2018-07-05$$wUnited States
000877633 245__ $$aRigorous synthesis of energy systems by relaxation and time-series aggregation to typical periods
000877633 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2018
000877633 300__ $$a793 - 798
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000877633 4900_ $$aComputer Aided Chemical Engineering$$v44
000877633 520__ $$aThe synthesis of energy systems is a complex optimization task depending on multiple large time series. Time-coupling constraints, e.g., due to storage systems, complicate computation even further. To still efficiently solve time-coupled synthesis problems, we propose a rigorous synthesis method. In the proposed method, lower and upper bounds are calculated to obtain a feasible solution of the original synthesis problem with known quality. We compute the lower bound by binary relaxation. For the upper bound, we use time-series aggregation to obtain a feasible design for the system. Employing this feasible design, we solve an operational problem, which can be solved efficiently. To tighten the upper bound, we iteratively increase the time resolution of the aggregation. In a case study for an industrial energy system, we show that only few typical periods are required to obtain a solution of the original synthesis problem with excellent quality. The method has fast convergence outperforming a commercial state-of-the-art solver
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000877633 7001_ $$0P:(DE-HGF)0$$aLeisin, Matthias$$b1
000877633 7001_ $$0P:(DE-HGF)0$$aBahl, Björn$$b2
000877633 7001_ $$0P:(DE-HGF)0$$aHennen, Maike$$b3
000877633 7001_ $$0P:(DE-Juel1)172023$$aBardow, André$$b4$$eCorresponding author$$ufzj
000877633 773__ $$a10.1016/B978-0-444-64241-7.50127-0
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000877633 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
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