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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.07453 |
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| _version_ | 1866916156920561664 |
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| author | Wang, Jiali Tang, Yang Schenato, Luca |
| author_facet | Wang, Jiali Tang, Yang Schenato, Luca |
| contents | Given the widespread attention to individual thermal comfort, coupled with significant energy-saving potential inherent in energy management systems for optimizing indoor environments, this paper aims to introduce advanced "Humans-in-the-building" control techniques to redefine the paradigm of indoor temperature design. Firstly, we innovatively redefine the role of individuals in the control loop, establishing a model for users' thermal comfort and constructing discomfort signals based on individual preferences. Unlike traditional temperature-centric approaches, "thermal comfort control" prioritizes personalized comfort. Then, considering the diversity among users, we propose a novel method to determine the optimal indoor temperature range, thus minimizing discomfort for various users and reducing building energy consumption. Finally, the efficacy of the "thermal comfort control" approach is substantiated through simulations conducted using Matlab. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_07453 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Humans-in-the-Building: Getting Rid of Thermostats for Optimal Thermal Comfort Control in Energy Management Systems Wang, Jiali Tang, Yang Schenato, Luca Systems and Control Given the widespread attention to individual thermal comfort, coupled with significant energy-saving potential inherent in energy management systems for optimizing indoor environments, this paper aims to introduce advanced "Humans-in-the-building" control techniques to redefine the paradigm of indoor temperature design. Firstly, we innovatively redefine the role of individuals in the control loop, establishing a model for users' thermal comfort and constructing discomfort signals based on individual preferences. Unlike traditional temperature-centric approaches, "thermal comfort control" prioritizes personalized comfort. Then, considering the diversity among users, we propose a novel method to determine the optimal indoor temperature range, thus minimizing discomfort for various users and reducing building energy consumption. Finally, the efficacy of the "thermal comfort control" approach is substantiated through simulations conducted using Matlab. |
| title | Humans-in-the-Building: Getting Rid of Thermostats for Optimal Thermal Comfort Control in Energy Management Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2403.07453 |