Hauptseite > Publikationsdatenbank > Ensuring (n − 1)-reliability in the optimal design of distributed energy supply systems > print |
001 | 877635 | ||
005 | 20240709081916.0 | ||
024 | 7 | _ | |a 10.1016/B978-0-444-64235-6.50057-7 |2 doi |
024 | 7 | _ | |a 1570-7946 |2 ISSN |
024 | 7 | _ | |a 2543-1331 |2 ISSN |
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037 | _ | _ | |a FZJ-2020-02350 |
082 | _ | _ | |a 660 |
100 | 1 | _ | |a Hollermann, Dinah Elena |0 P:(DE-HGF)0 |b 0 |
111 | 2 | _ | |a 28th European Symposium on Computer Aided Process Engineering |c Graz |d 2018-06-10 - 2018-06-13 |w Austria |
245 | _ | _ | |a Ensuring (n − 1)-reliability in the optimal design of distributed energy supply systems |
260 | _ | _ | |a Amsterdam [u.a.] |c 2018 |b Elsevier |
300 | _ | _ | |a 307 - 312 |
336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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490 | 0 | _ | |a Computer Aided Chemical Engineering |v 43 |
520 | _ | _ | |a For distributed energy supply systems, reliability is important but still often neglected during design. We present a rigorous design approach which ensures the exact supply of all energy demands during the failure of one arbitrary component at any time. Since this (n − 1)-reliable approach leads to high computational effort, we propose an alternative inexact approach with reduced computational effort. This so-called (n − max)-reliable approach also ensures sufficient energy supply but allows overproduction. An industrial real-world case study shows that both reliability approaches reduce both investment costs as well as total annualized costs significantly for a reliable design compared to current practical heuristics. |
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700 | 1 | _ | |a Hoffrogge, Dörthe Franzisca |0 P:(DE-HGF)0 |b 1 |
700 | 1 | _ | |a Hennen, Maike |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Bardow, André |0 P:(DE-Juel1)172023 |b 3 |e Corresponding author |u fzj |
773 | _ | _ | |a 10.1016/B978-0-444-64235-6.50057-7 |
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