Next Article in Journal
The Value of Image. The Design of and Data Streams from the Perception by Design
Previous Article in Journal
Imaging Naples Today. The Urban-Scale Construction of the Visual Image
Article Menu
Issue 7 (SP 2017) cover image

Article Versions

Export Article

Open AccessProceedings
Proceedings 2017, 1(7), 685;

TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings

Université Grenoble Alpes, CEA, LETI, DACLE, LIALP, F-38000 Grenoble, France
IBM Research, D15 Dublin, Ireland
Cork Institute of Technology, N22 Cork, Ireland
Fraunhofer Institute for Solar Energy Systems ISE, D-79110 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)
PDF [736 KB, uploaded 26 December 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).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
Proceedings EISSN 2504-3900 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top