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Proceedings 2017, 1(7), 685; doi:10.3390/proceedings1070685

TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings

Université Grenoble Alpes, CEA, LETI, DACLE, LIALP, F-38000 Grenoble, France
IBM Research, Dublin, Ireland
Cork Institute of Technology, Cork, Ireland
Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany
Presented at Sustainable Places 2017 (SP2017) Conference, Middlesbrough, UK, 28–30 June 2017.
Author to whom correspondence should be addressed.
Published: 24 November 2017
(This article belongs to the Proceedings of the Sustainable Places 2017 (SP2017) Conference)
Download PDF [742 KB, uploaded 24 November 2017]


The energy consumption of buildings lies often far above the performance objectives of the design phase. This is due to several factors among other serious deficits in the energy operation of building services. TOPAs adopts the principle of continuous performance auditing by not only considering energy use but also knowledge and understanding of the buildings use and their climatic state. Thus it provides a holistic performance auditing process through supporting tools and methodologies that try to minimise the gap between predicted and actual energy use. TOPAs offers an open BMS (Building Management System) IoT driven framework. This framework is composed of core services to connect to any BMS and aggregate all the information in an open platform. Add-on services are also available to improve the understanding of buildings and reduce further the gap.
Keywords: buildings; performance gap; auditing; energy prediction modelling; IoT platform buildings; performance gap; auditing; energy prediction modelling; IoT platform
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lesecq, S.; Louvel, M.; Ploennigs, J.; Rea, S.; Rehault, N.; Wystrcil, D.; McGibney, A. TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings. Proceedings 2017, 1, 685.

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