TY  - JOUR
AU  - Sass, Susanne
AU  - Faulwasser, Timm
AU  - Hollermann, Dinah Elena
AU  - Kappatou, Chrysoula Dimitra
AU  - Sauer, Dominique
AU  - Schütz, Thomas
AU  - Shu, David Yang
AU  - Bardow, André
AU  - Gröll, Lutz
AU  - Hagenmeyer, Veit
AU  - Müller, Dirk
AU  - Mitsos, Alexander
TI  - Model compendium, data, and optimization benchmarks for sector-coupled energy systems
JO  - Computers & chemical engineering
VL  - 135
SN  - 0098-1354
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2020-02203
SP  - 106760 -
PY  - 2020
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000517757000033
DO  - DOI:10.1016/j.compchemeng.2020.106760
UR  - https://juser.fz-juelich.de/record/877450
ER  -