Integrated control of radiant floor heating systems in residential buildings

• Published in: Journal of building performance simulation Vol. 17; no. 2; pp. 220 - 233
• Main Authors: Cho, Seongkwon, Kim, Jin-Hong, Park, Cheol Soo
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 03-03-2024; Taylor & Francis Ltd
• 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
• ISSN: 1940-1493; 1940-1507
• DOI: 10.1080/19401493.2023.2251435

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.