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Towards generalized co-simulation of urban energy systems

Wang, Kunpeng; Siebers, Peer-Olaf; Robinson, Darren

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Authors

Kunpeng Wang

Darren Robinson



Abstract

Maximizing energy conservation, improving energy efficiency and integration and control of renewable energy sources are
critical in order to achieve a low carbon future. An integrated modelling system is needed to evaluate and improve energy
performance of urban energy systems’ design and operation, from both financial and environmental perspectives.
To this end, this paper presents an urban energy co-simulation framework. It is based on co-simulation standard Functional
Mock-up Interface (FMI) and CityGML-based semantic 3D city model and utilized programing packages, like PyFMI,
FMILibrary, and mosaik, which is capable of orchestrating the execution of dynamic simulation models supporting the for cosimulation.
To demonstrate the proof of concept, two simulation tools are coupled in the first instance: EnergyPlus and No-
MASS. Based on the two use cases, the principles and workflow of the framework and results from its application are described.
Results from use cases show that synchronization and interaction between our urban energy co-simulation framework and
coupled co-simulation components works as intended. The paper concludes by discussing strategies to tackle more complex and
multiscale energy systems.

Citation

Wang, K., Siebers, P., & Robinson, D. (2017). Towards generalized co-simulation of urban energy systems. Procedia Engineering, 198, 366-374. doi:10.1016/j.proeng.2017.07.092

Journal Article Type Conference Paper
Acceptance Date Aug 16, 2017
Online Publication Date Sep 11, 2017
Publication Date Sep 11, 2017
Deposit Date Jan 5, 2019
Publicly Available Date Jan 8, 2019
Print ISSN 1877-7058
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 198
Pages 366-374
DOI https://doi.org/10.1016/j.proeng.2017.07.092
Public URL https://nottingham-repository.worktribe.com/output/1446050
Publisher URL https://www.sciencedirect.com/science/article/pii/S1877705817329363

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