Adaptable and Scalable Energy Modeling of Ventilation Systems as Part of Building Digital Twins

Andreas Hyrup Andersen, Jakob Bjørnskov, Muhyiddine Jradi

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Abstract

Digital twins solutions have great potential within a multitude of building applications, but flexible and scalable model backbones are essential for cost-effective large scale distribution within the building sector. In this paper, a flexible component based framework for ventilation system modeling is proposed as part of a scalable digital twin solution. The framework is applied to a case study with limited data availability and the simulated values are compared to measurements. Results show a strong similarity between predictions and data, but it is clear that inaccurate occupancy measurements can cause significant discrepancies. The developed model is used for performance comparison between different ventilation control strategies and a proportional controller is found to slightly outperform the buildings current rule-based controller.

OriginalsprogEngelsk
TitelProceedings of Building Simulation 2023 : 18th Conference of IBPSA
Vol/bind18
ForlagInternational Building Performance Simulation Association
Publikationsdatosep. 2023
Sider3046-3053
DOI
StatusUdgivet - sep. 2023
BegivenhedThe 18th International IBPSA Building Simulation Conference - Radisson Blu Forest Manor Hotel, Shanghai, Kina
Varighed: 4. sep. 20236. sep. 2023
Konferencens nummer: 18
https://bs2023.org

Konference

KonferenceThe 18th International IBPSA Building Simulation Conference
Nummer18
LokationRadisson Blu Forest Manor Hotel
Land/OmrådeKina
ByShanghai
Periode04/09/202306/09/2023
Internetadresse

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