Integrated control of radiant floor heating systems in residential buildings

The 'ideal' optimal control of a radiant floor heating system (RFHS) can be achieved when a central controller is fully aware of the interrelationship between the different thermal dynamics of a boiler, radiant floor, and room. This study proposed integrated control strategies that can con...

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Bibliographic Details
Published in:Journal of building performance simulation 2024-03, Vol.17 (2), p.220-233
Main Authors: Cho, Seongkwon, Kim, Jin-Hong, Park, Cheol Soo
Format: Article
Language:English
Subjects:
Artificial neural networks
Energy conservation
Heating systems
human intervention
Integrated control
MPC
Optimal control
Predictive control
radiant floor heating system
Radiant heating
residential
Residential buildings
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Summary:The 'ideal' optimal control of a radiant floor heating system (RFHS) can be achieved when a central controller is fully aware of the interrelationship between the different thermal dynamics of a boiler, radiant floor, and room. This study proposed integrated control strategies that can consider the interaction of heterogeneous RFHSs using a minimalistic approach with minimal data easily available from residential buildings. Three individual artificial neural networks were developed to choreograph the heterogeneous dynamics of the RFHSs for each household. Then, model predictive control was applied to realize the real-time integrated control of the RFHSs in the residential buildings. Approximately 14-46% of heating energy could be saved by integrated control. Moreover, the potential energy saving rate from integrated control varied depending on the degree of human intervention.
ISSN:1940-1493
1940-1507
DOI:10.1080/19401493.2023.2251435