Macek, K;
Rovas, D;
Schmidt, M;
Valmaseda, CC;
(2014)
Holistic optimization of HVAC systems via distributed data-driven control.
In:
Proceedings of the International Conference on Theory and Practice in Modern Computing.
(pp. pp. 75-82).
IADIS Press
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Abstract
In the present paper, the control design of Heating, Ventilation and Air Conditioning (HVAC) systems is investigated. In largescale 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.
Type: | Proceedings paper |
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Title: | Holistic optimization of HVAC systems via distributed data-driven control |
Event: | 3rd International Conference Theory and Practice in Modern Computing 2014 |
Location: | Lisbon, Portugal |
Dates: | 15 – 17 July 2014 |
ISBN-13: | 9789898704108 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.iadisportal.org/digital-library/holisti... |
Language: | English |
Additional information: | This is an Open Access article published under a Creative Commons Attribution-NonCommercial-NoDerivatives licence |
Keywords: | HVAC systems, distributed control, data-driven control, lazy learning, dynamic programming . |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10063043 |
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