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Simulation-assisted building energy performance improvement using sensible control decisions

Pichler, MF; Dröscher, A; Schranzhofer, H; Kontes, GD; Giannakis, GI; Kosmatopoulos, EB; Rovas, DV; (2011) Simulation-assisted building energy performance improvement using sensible control decisions. In: BuildSys '11 Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. (pp. pp. 61-66). AMC Green open access

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Abstract

The building sector contributes significantly to global energy consumption and emission of greenhouse gases. Thermal insulation along with installation of energy-efficient building systems can reduce energy needs while preserving or improving occupant comfort levels. Still sensible control decisions, to harmoniously and effectively operate all building thermal systems, can be used to further improve building energy performance and/or thermal comfort. In this article, a simulation-assisted methodology is presented to automatically generate such decisions. There are two ingredients to our approach: a thermal simulation model - - a surrogate of the real building - - used to evaluate the effects of potential decisions; and, a cognitive adaptive optimization algorithm used to intelligently search for the "best" control decision. A user-defined cost function is used to compare various decision strategies. Corroborating simulation results are presented to quantify the expected benefits of the proposed approach. © 2011 ACM.

Type: Proceedings paper
Title: Simulation-assisted building energy performance improvement using sensible control decisions
Event: Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, ACM SenSys 2011
ISBN-13: 9781450307499
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2434020.2434041
Publisher version: https://dl.acm.org/citation.cfm?doid=2434020.24340...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Energy Efficiency in Buildings, Adaptive Optimization,
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/1531852
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