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Black-box Optimisation for Buildings and Its Enhancement by Advanced Communication Infrastructure

Macek, K; Rojicek, J; Kontes, GD; Rovas, D; (2013) Black-box Optimisation for Buildings and Its Enhancement by Advanced Communication Infrastructure. ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal) , 2013 , Article Special Issue # 5. Green open access

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Abstract

The solution of repeated fixed-horizon trajectory optimization problems of processes that are either too difficult or too complex to be described by physicsbased models can pose formidable challenges. Very often, soft-computing methods - e.g. black-box modeling and evolutionary optimization - are used. These approaches are ineffective or even computationally intractable for searching high-dimensional parameter spaces. In this paper, a structured iterative process is described for addressing such problems: the starting point is a simple parameterization of the trajectory starting with a reduced number of parameters; after selection of values for these parameters so that this simpler problem is covered satisfactorily, a refinement procedure increases the number of parameters and the optimization is repeated. This continuous parameter refinement and optimization process can yield effective solutions after only a few iterations. To illustrate the applicability of the proposed approach we investigate the problem of dynamic optimization of the operation of HVAC (heating, ventilation, and air conditioning) systems, and illustrative simulation results are presented. Finally, the development of advanced communication and interoperability components is described, addressing the problem of how the proposed algorithm could be deployed in realistic contexts.

Type: Article
Title: Black-box Optimisation for Buildings and Its Enhancement by Advanced Communication Infrastructure
Open access status: An open access version is available from UCL Discovery
Publisher version: http://revistas.usal.es/index.php/2255-2863/articl...
Language: English
Additional information: The Advances in Distributed Computing and Artificial Intelligence Journal is an open access journal under Creative Commons 3.0 license.
Keywords: Evolutionary algorithms, Black box modeling, Simplification, Refining, Building control, HVAC, Load shedding, Communication infrastructure
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/10063077
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