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Holistic optimization of HVAC systems via distributed data-driven control

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 Green open access

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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
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.ucl.ac.uk/id/eprint/10063043
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