Holistic optimization of hvac systems via distributed data driver control

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Holistic optimization of hvac systems via distributed data driver control (EN)

Ροβας Δημητριος (EL)
Mischa Schmidt (EN)
Macek, Karel (EN)
Cesar Valmaseda (EN)
Rovas Dimitrios (EN)

full paper
conferenceItem

2014


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. (EN)

Intelligent Systems and Agents (EL)

English

Πολυτεχνείο Κρήτης (EL)
Technical University of Crete (EN)




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