The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Modelica Buildings library
Open accessAbstract
This article describes the Buildings library, a free open-source library that is implemented in Modelica, an equation-based object-oriented modelling language. The library supports rapid prototyping, as well as design and operation of building energy and control systems. First, we describe the scope of the library, which covers heating, ventilation and air-conditioning systems, multi-zone heat transfer and multi-zone airflow and contaminant transport. Next, we describe differentiability requirements and address how we implemented them. We describe the class hierarchy that allows implementing component models by extending partial implementations of base models of heat and mass exchangers, and by instantiating basic models for conservation equations and flow resistances. We also describe associated tools for pre- and post-processing, regression tests, co-simulation and real-time data exchange with building automation systems. The article closes with an example of a chilled water plant, with and without water-side economizer, in which we analysed the system-level efficiency for different control setpoints.
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Cites
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Wetter, M. (2011) · Journal of Building Performance Simulation · doi:10.1080/19401493.2010.518631 · Cited by 450
Self-citationVaria, M., Wilson, S., Sarwal, S., McGeer, A., Gournis, E., Galanis, E., & Henry, B. (2003) · PubMed Central · Cited by 373
The Impact of the SARS Epidemic on the Utilization of Medical Services: SARS and the Fear of SARS
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Cited by
All you need to know about model predictive control for buildings
Drgoňa, J., Arroyo, J., Cupeiro Figueroa, I., Blum, D., Arendt, K., Kim, D., Ollé, E. P., Oravec, J., Wetter, M., Vrabie, D. L., et al. (2020) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2020.09.001 · Cited by 1,020
Self-citationReinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review
Al Sayed, K., Boodi, A., Sadeghian Broujeny, R., & Beddiar, K. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.110085 · Cited by 140
Evaluation of advanced control strategies for building energy systems
Stoffel, P., Maier, L., Kümpel, A., Schreiber, T., & Müller, D. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2022.112709 · Cited by 126
“To reduce the modeling effort of model-predictive building con-trol, various publications use generic modeling libraries such as the Modelica libraries Buildings [30], and IDEAS [14], which are translated into optimization models via toolchains such as ”TACO” [14].”
Impact of the controller model complexity on model predictive control performance for buildings
Picard, D., Drgoňa, J., Kvasnica, M., & Helsen, L. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.07.027 · Cited by 97
Machine Learning for Smart and Energy-Efficient Buildings
Das, H. P., Lin, Y.-W., Agwan, U., Spangher, L., Devonport, A., Yang, Y., Drgoňa, J., Chong, A., Schiavon, S., & Spanos, C. J. (2024) · Environmental Data Science · doi:10.1017/eds.2023.43 · Cited by 78
Metadata
- Authors
- Wetter, M., Zuo, W., Nouidui, T. S., & Pang, X.
- Venue
- Journal of Building Performance Simulation
- Publisher
- Informa UK Limited
- Published
- 2013-03-13
- Volume
- 7
- Issue
- 4
- Pages
- 253-270
- ISSN
- 1940-1493 (ISSN-L)
- 1940-1507
- OpenAlex
- W2011938518
- Cited by
- 734
- References
- 14
- FWCI
- 40.43
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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