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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/59497747-6FFB-408F-A3BC-C84088180A4F | ||
| Year | 2014 | ||
| Type of Item | Conference Full Paper | ||
| License |
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| Bibliographic Citation | K. Macek ,D. Rovas ,M. Schmidt ,C. Valmaseda.(2014). Holistic optimization of hvac systems via distributed data driver control .Presented at Conference: Intelligent Systems and Agents .[online].Available: http://www.researchgate.net/profile/Karel_Macek/publication/273676784_HOLISTIC_OPTIMIZATION_OF_HVAC_SYSTEMS_VIA_DISTRIBUTED_DATA-DRIVEN_CONTROL/links/55dc918f08aec156b9b18336.pdf | ||
| Appears in Collections |
In the present paper, the control design of Heating, Ventilation and Air Conditioning (HVAC) systems is investigated. In large- scale buildings – e.g. hotels or hospitals – the high dimension of the control design problem precludes a solution with reasonable computational effort. In this paper, a distributed control strategy is proposed, where interacting agents are operating sub-systems; interaction between these agents can ensure that an optimum solution can be obtained. A novel method to distributed control tis introduced based on data-driven modeling where the strategy is not based on explicit optimization, but on weighted learning of the control rules; two examples of the addressed system are formulated. A significant advantage of the proposed approach consists in minimal assumptions on the addressed system and the most significant disadvantage is the need of sufficiently rich data-sets.
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