Hauptseite > Publikationsdatenbank > Model compendium, data, and optimization benchmarks for sector-coupled energy systems > print |
001 | 877450 | ||
005 | 20240712112910.0 | ||
024 | 7 | _ | |a 10.1016/j.compchemeng.2020.106760 |2 doi |
024 | 7 | _ | |a 0098-1354 |2 ISSN |
024 | 7 | _ | |a 1873-4375 |2 ISSN |
024 | 7 | _ | |a 2128/25021 |2 Handle |
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037 | _ | _ | |a FZJ-2020-02203 |
082 | _ | _ | |a 660 |
100 | 1 | _ | |a Sass, Susanne |0 P:(DE-HGF)0 |b 0 |
245 | _ | _ | |a Model compendium, data, and optimization benchmarks for sector-coupled energy systems |
260 | _ | _ | |a Amsterdam [u.a.] |c 2020 |b Elsevier Science |
336 | 7 | _ | |a article |2 DRIVER |
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336 | 7 | _ | |a ARTICLE |2 BibTeX |
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336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Decarbonization and defossilization of energy supply as well as increasing decentralization of energy generation necessitate the development of efficient strategies for design and operation of sector-coupled energy systems. Today, design and operation of process and energy systems rely on powerful numerical methods, in particular, optimization methods. The development of such methods benefits from reproducible benchmarks including transparent model equations and complete input data sets. However, to the authors’ best knowledge and with respect to design and optimal control of sector-coupled energy systems, there is a lack of available benchmarks. Hence, this article provides a model compendium, exemplary realistic data sets, as well as two case studies (i.e., optimization benchmarks) for an industrial/research campus in an open-source description. The compendium includes stationary, quasi-stationary, and dynamic models for typical components as well as linearization schemes relevant for optimization of design, operation, and control of sector-coupled energy systems. |
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700 | 1 | _ | |a Hollermann, Dinah Elena |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Kappatou, Chrysoula Dimitra |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Sauer, Dominique |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a Schütz, Thomas |0 P:(DE-HGF)0 |b 5 |
700 | 1 | _ | |a Shu, David Yang |0 P:(DE-Juel1)176240 |b 6 |
700 | 1 | _ | |a Bardow, André |0 P:(DE-Juel1)172023 |b 7 |
700 | 1 | _ | |a Gröll, Lutz |0 P:(DE-HGF)0 |b 8 |
700 | 1 | _ | |a Hagenmeyer, Veit |0 P:(DE-HGF)0 |b 9 |
700 | 1 | _ | |a Müller, Dirk |0 P:(DE-Juel1)172026 |b 10 |
700 | 1 | _ | |a Mitsos, Alexander |0 P:(DE-Juel1)172025 |b 11 |e Corresponding author |
773 | _ | _ | |a 10.1016/j.compchemeng.2020.106760 |g Vol. 135, p. 106760 - |0 PERI:(DE-600)1499971-7 |p 106760 - |t Computers & chemical engineering |v 135 |y 2020 |x 0098-1354 |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/877450/files/1-s2.0-S0098135419310683-main.pdf |
856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/877450/files/benchmark_postrefereemanuscript.pdf |
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