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Model compendium, data, and optimization benchmarks for sector-coupled energy systems
Citation Link: https://doi.org/10.15480/882.9197
Publikationstyp
Journal Article
Date Issued
2020-04-06
Sprache
English
Author(s)
Sass, Susanne
Hollermann, Dinah Elena
Kappatou, Chrysoula Dimitra
Sauer, Dominique
Schütz, Thomas
Shu, David Yang
Gröll, Lutz
Hagenmeyer, Veit
TORE-DOI
Journal
Volume
135
Article Number
106760
Citation
Computers and Chemical Engineering 135: 106760 (2020-04-06)
Publisher DOI
Scopus ID
Publisher
Elsevier
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.
Subjects
Benchmark problems
Design optimization
Distributed energy supply system
Dynamic optimization
Optimal control
Sector-coupled energy systems
DDC Class
004: Computer Sciences
Publication version
publishedVersion
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Name
1-s2.0-S0098135419310683-main.pdf
Type
Main Article
Size
2.34 MB
Format
Adobe PDF