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Distributed building energy simulation with the HLA

Amponsah, Kwabena; Zakhary, Sameh; Robinson, Darren; Nathanail, Paul; Logan, Brian; Siebers, Peer-Olaf

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Authors

Kwabena Amponsah

Sameh Zakhary

Darren Robinson

Paul Nathanail

Brian Logan



Abstract

The primary aim of this work is to demonstrate the feasibility of applying the High Level Architecture (HLA) framework to the distributed execution of physical urban building energy simulations that are too large to be supported within the resource constraints of a single computing node. To this end, we modify the building energy simulation tool CitySim+ to make it HLA-compliant, and use this to conduct distributed computational experiments over a small network of computing nodes. For our experiments, we consider some real-world urban models containing up to about 120,000 building surfaces. In addition to demonstrating the feasibility of our approach, the experiments further provide some performance measures to help us evaluate the appropriateness of applying the HLA in the urban simulation context. From the results of the experiments, we briefly discuss the trade-offs between the computation time and the communication and synchronization overheads involved in our distributed building energy simulation.

Citation

Amponsah, K., Zakhary, S., Robinson, D., Nathanail, P., Logan, B., & Siebers, P.-O. (2019, July). Distributed building energy simulation with the HLA. Presented at 2019 Summer Simulation Conference, Berlin, Germany

Presentation Conference Type Edited Proceedings
Conference Name 2019 Summer Simulation Conference
Start Date Jul 22, 2019
End Date Jul 24, 2019
Acceptance Date Jul 22, 2019
Publication Date 2019
Deposit Date Aug 5, 2025
Publicly Available Date Aug 8, 2025
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Book Title SummerSim '19: Proceedings of the 2019 Summer Simulation Conference
Chapter Number 19
DOI https://doi.org/10.5555/3374138.3374157
Public URL https://nottingham-repository.worktribe.com/output/33567642
Publisher URL https://dl.acm.org/doi/10.5555/3374138.3374157

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