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Supervisory and Optimal Control of Building HVAC Systems: A Review
Abstract
HVAC systems are the major energy consumers in buildings. Operation and control of HVAC systems have significant impacts on the energy or cost efficiency of buildings besides their designs. Buildings nowadays are mostly equipped with comprehensive building automation systems (BASs) and building energy management control systems (EMCSs) that allow the possibility of enhancing and optimizing the operation and control of HVAC systems. Supervisory and optimal control, which addresses the energy or cost-efficient control of HVAC systems while providing the desired indoor comfort and healthy environment under the dynamic working conditions, is attracting more attention of the building professionals and the society and provides incentives to make more efforts in developing more extensive and robust control methods for HVAC systems. This paper provides a framework for categorizing the main supervisory and optimal control methods and optimization techniques developed and/or utilized in the HVAC field. The application characteristics of each control method and optimization technique are also identified and compared. A comprehensive overall review of the state of the art of the research and development, as well as application of supervisory and optimal control, in HVAC systems is also presented.
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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
Reinforcement learning for demand response: A review of algorithms and modeling techniques
Vázquez-Canteli, J. R., & Nagy, Z. (2019) · Applied Energy · doi:10.1016/j.apenergy.2018.11.002 · Cited by 883
Afram, A., Janabi-Sharifi, F., Fung, A. S., & Raahemifar, K. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.02.012 · Cited by 655
Serale, G., Fiorentini, M., Capozzoli, A., Bernardini, D., & Bemporad, A. (2018) · Energies · doi:10.3390/en11030631 · Cited by 637
Modeling techniques used in building HVAC control systems: A review
Afroz, Z., Shafiullah, G., Urmee, T., & Higgins, G. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.10.044 · Cited by 411
Sun, Y., Wang, S., Xiao, F., & Gao, D. (2013) · Energy Conversion and Management · doi:10.1016/j.enconman.2013.03.026 · Cited by 358
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Metadata
- Authors
- Wang, S., & Ma, Z.
- Venue
- HVAC&R Research
- Publisher
- Informa UK Limited
- Published
- 2008-01
- Volume
- 14
- Issue
- 1
- Pages
- 3-32
- ISSN
- 1078-9669 (ISSN-L)
- 1938-5587
- OpenAlex
- W2018614621
- Cited by
- 496
- References
- 0
- FWCI
- 37.00
- Type
- journal article
- Language
- en
- Open access
- closed
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