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Improving Energy Efficiency via Smart Building Energy Management Systems: A Comparison with Policy Measures

Rocha, P; Siddiqui, AS; Stadler, M; (2015) Improving Energy Efficiency via Smart Building Energy Management Systems: A Comparison with Policy Measures. Energy and Buildings , 88 pp. 203-213. 10.1016/j.enbuild.2014.11.077. Green open access

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Abstract

To foster the transition to more sustainable energy systems, policymakers have been approving measures to improve energy efficiency as well as promoting smart grids. In this setting, building managers are encouraged to adapt their energy operations to real-time market and weather conditions. Yet, most fail to do so as they rely on conventional building energy management systems (BEMS) that have static temperature set points for heating and cooling equipment. In this paper, we investigate how effective policy measures are at improving building-level energy efficiency compared to a smart BEMS with dynamic temperature set points. To this end, we present an integrated optimisation model mimicking the smart BEMS that combines decisions on heating and cooling systems operations with decisions on energy sourcing. Using data from an Austrian and a Spanish building, we find that the smart BEMS results in greater reduction in energy consumption than a conventional BEMS with policy measures.

Type: Article
Title: Improving Energy Efficiency via Smart Building Energy Management Systems: A Comparison with Policy Measures
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.enbuild.2014.11.077
Publisher version: http://dx.doi.org/10.1016/j.enbuild.2014.11.077
Language: English
Additional information: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Smart building energy management, Dynamic energy consumption, Energy-efficiency policy measures, Non-linear optimisation.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1457532
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