FMI-based co-simulation of hybrid closed-loop control system models

Widl, E.; Judex, Florian; Eder, Katharina; Pálenský, Peter

doi:10.1109/complexsys.2015.7385981

Cited by 11 publications

(6 citation statements)

References 9 publications

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“…The FMI version 2.0 is currently available. Many BES programs have been developed to be compatible to FMI, such as EnergyPlus (Nouidui et al 2014), TRNSYS (Widl et al 2015) and Modelica-based modelling (Wetter et al 2014). However, as of October 2017, there is neither official release nor third-party development of FMI to the commercial or open-source CFD programs.…”

Section: Cfd Simulator Standard Interface To Exportmentioning

confidence: 99%

Building energy simulation coupled with CFD for indoor environment: A critical review and recent applications

Tian

Han

Zuo

et al. 2018

Energy and Buildings

109

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This paper presents a comprehensive review of the open literature on motivations, methods and applications of linking stratified airflow simulation to building energy simulation (BES). First, we review the motivations for coupling prediction models for building energy and indoor environment. This review classified various exchanged data in different applications as interface data and state data, and found that choosing different data sets may lead to varying performance of stability, convergence, and speed for the co-simulation. Second, our review shows that an external coupling scheme is substantially more popular in implementations of co-simulation than an internal coupling scheme. The external coupling is shown to be generally faster in computational speed, as well as easier to implement, maintain and expand than the internal coupling. Third, the external coupling can be carried out in different data synchronization schemes, including static coupling and dynamic coupling. In comparison, the static coupling that performs data exchange only once is computationally faster and more stable than the dynamic coupling. However, concerning accuracy, the dynamic coupling that requires multiple times of data exchange is more accurate than the static coupling. Furthermore, the review identified that the implementation of the external coupling can be achieved through customized interfaces, middleware, and standard interfaces. The customized interface is straightforward but may be limited to a specific coupling application. The middleware is versatile and user-friendly but usually limited in data synchronization schemes. The standard interface is versatile and promising, but may be difficult to implement. Current applications of the co-simulation are mainly energy performance evaluation and control studies. Finally, we discussed the limitations of the current research and provided an overview for future research.

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Section: Cfd Simulator Standard Interface To Exportmentioning

confidence: 99%

Building energy simulation coupled with CFD for indoor environment: A critical review and recent applications

Tian

Han

Zuo

et al. 2018

Energy and Buildings

109

View full text Add to dashboard Cite

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“…Based on previous theoretical work dealing with the capability of FMI to handle discrete event semantics [24], [25], an interface according to the FMI-CS specification is being developed in ERIGrid for Automation and control: For implementing control algorithms MATLAB/SIMULINK has been chosen, due to its versatility as well as its popularity and widespread use for this purpose. The capability of FMI to encapsulate the functionality of discrete event-driven controller models has been already discussed in [26]. SIMULINK implements a continuous timedriven paradigm and allows to translate models into FMUs for ME (discussed next in Section IV-C).…”

Section: B Tool Compatibilitymentioning

confidence: 99%

Cyber-physical energy systems modeling, test specification, and co-simulation based testing

Meer

Pálenský

Heussen

et al. 2017

2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)

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Abstract-The gradual deployment of intelligent and coordinated devices in the electrical power system needs careful investigation of the interactions between the various domains involved. Especially due to the coupling between ICT and power systems a holistic approach for testing and validating is required. Taking existing (quasi-) standardised smart grid system and test specification methods as a starting point, we are developing a holistic testing and validation approach that allows a very flexible way of assessing the system level aspects by various types of experiments (including virtual, real, and mixed lab settings). This paper describes the formal holistic test case specification method and applies it to a particular co-simulation experimental setup. The various building blocks of such a simulation (i.e., FMI, mosaik, domain-specific simulation federates) are covered in more detail. The presented method addresses most modeling and specification challenges in cyber-physical energy systems and is extensible for future additions such as uncertainty quantification.

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“…Prominent applications are various kinds of controlled systems.T hese seem predestined as hybrid systems due to their common representation by ac ontinuous time system with ad iscrete control(Camus et al 2016;Tu doret et al 2000;Widl et al 2015). Specific ap-…”

mentioning

confidence: 99%

“…to combine Overture and 20-sim by Fitzgerald et al (2014), and as ystematic approach for multi-levelsimulation by Thiede et al (2016). To ng et al (2014) consider the EPOCHS and GECO framework in their review.Recent developments in particular are utilizing the FMI in their solution approaches forh ybrid systems(Awais 2015;Broman et al 2015;Camus et al 2016;Cremona et al 2016b;Farkas et al 2019;Savicks et al 2014;Thule et al 2018;Widl et al 2015). As the FMIb y itself provesi nsufficient to satisfy requirements forh ybrid co-simulation (see f.i.…”

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confidence: 99%

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Cooperative and Multirate Simulation: Analysis, Classification and New Hierarchical Approaches

Hafner¹

2022

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In dieser Dissertation werden hierarchische Co-Simulationsmethoden vorgestellt und hinsichtlich Genauigkeit, Fehlerakkumulation und Stabilität untersucht. Co-Simulation bezeichnet die Kopplung vonz weio der mehr Simulationen, die sich in dem verwendeten Simulationstool, Lösungsalgorithmus oder zumindest der Solverschrittweite unterscheiden. Methoden dieser Arthaben sich mittlerweile als unentbehrliches Instrument zur gesamtheitlichen Abbildung komplexerSysteme aus unterschiedlichen Anwendungsgebieten etabliert. Der vielseitige Ursprung und das breite Spektrum an wissenschaftlichen Lösungsansätzen für Problemstellungen dieser Arthaben dazu geführt, dass einige Begriffe unterschiedlich aufgefasst oder äquivalente Methoden verschieden bezeichnet werden. Dieser Umstand gab den Anstoß für die Zusammenführung, Klärung und Vereinheitlichung des Vokabulars in diesem Forschungsbereich zu Beginn dieser Arbeit. Anschließend folgt ein Überblicküber gängige Multirate-und Co-Simulationsmethoden, begonnen bei Verfahren für gewöhnliche Differentialgleichungen über gekoppelte differentialalgebraische Gleichungssysteme bis hin zur Zusammenführung starkunterschiedlicher Ansätze, wie etwad iskret und kontinuierlich dargestellten Te ilsystemen. Zudem wurde eine empirische Studie mit über fünfzig Te ilnehmenden in Zusammenarbeit mit Kollegen nationaler und internationaler Forschungsgruppen ausgearbeitet und durchgeführt,deren Ergebnisse gängige Standards,H erausforderungen und Forschungsbedarf im Bereich der Co-Simulation aufzeigen. Ob ihrer Vielfalt können Multirate-und Co-Simulationsmethoden anhand unterschiedlicher Gesichtspunkte strukturiertwerden. Diese werden gleichzeitig mit der Klassifikation ausgewählter Literatur ebenfalls in dieser Arbeit präsentiert. Ein Nebenprodukt letzterer stellt unter anderem das Netzwerka nA utorInnen der betrachteten Publikationen dar,i nd em deutlich wird, dass einige voni hnen für internationale Zusammenarbeit offen sind,w ährend andere ihre Forschungstätigkeit bevorzugt innerhalb der eigenen Institution vornehmen. Das Hauptaugenmerkdieser Dissertation liegt auf der Entwicklung und Untersuchung hierarchischer Co-Simulationsmethoden. Diese bezeichnen Co-Simulationen, die unter sich weitere Co-Simulationen, gegebenenfalls auf mehreren Ebenen, koordinieren. Fehlerschätzungen zeigen, dass durch die Einführung weiterer Levels keine zusätzlichen Fehler hinzukommen und Nullstabilität, gesonderta uf jeder Ebene,a nalog zu herkömmlicherC o-iii Simulation untersuchtw erden kann. Benchmark-Tests anhand gekoppelter Dahlquist-Gleichungen zeigen, dass numerische Stabilität sogar erhöht werden kann, sofernSysteme,die untereinander in höherem Ausmaß vonW erten der jeweilig anderen abhängen, die Möglichkeit haben, gesonderta nw eiteren Kommunikationszeitpunkten Daten auszutauschen. Dadurch kann die Genauigkeit erhöht und qualitatives Verhalten erhalten werden, ohne die gesamte Co-Simulation zu verlangsamen. Insgesamt stellt hierarchische Co-Simulation einen innovativen Ansatz dar,der vielversprechende Ergebnisse h...

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FMI-based co-simulation of hybrid closed-loop control system models

Cited by 11 publications

References 9 publications

Building energy simulation coupled with CFD for indoor environment: A critical review and recent applications

Building energy simulation coupled with CFD for indoor environment: A critical review and recent applications

Cyber-physical energy systems modeling, test specification, and co-simulation based testing

Cooperative and Multirate Simulation: Analysis, Classification and New Hierarchical Approaches

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