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BIM application to building energy performance visualisation and management: Challenges and potential

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journal contribution
posted on 31.03.2017 by Tristan Gerrish, Kirti Ruikar, Malcolm Cook, Mark Johnson, Mark Phillip, Christine Lowry
This paper evaluates the potential for use of building information modelling (BIM) as a tool to support the visualisation and management of a building's performance; demonstrating a method for the capture, collation and linking of data stored across the currently disparate BIM and building management system (BMS) data environments. Its intention is to identify the barriers facing implementation of BIM for building designers and operators as a performance optimisation tool. The method developed links design documentation and metered building performance to identify the technological requirements for BIM and building performance connection in a real-world example. This is supplemented by interviews with designers and operators identifying associated behavioural and methodological challenges. The practicality of implementing BIM as a performance management tool using conventional technologies is established, and recognises the need for more effective data management in both design and operation to support interlinking of these data-rich environments. Requirements for linking these environments are proposed in conjunction with feedback from building designers and operators, providing guidance for the production and sourcing of data to support building performance management using BIM.


This research was supported by EPSRC funding (EP/G037272/1) in conjunction with support from sponsors BuroHappold Engineering as an EngD research project at the Centre for Innovative and Collaborative Construction Engineering, Loughborough University.



  • Architecture, Building and Civil Engineering

Published in

Energy and Buildings


GERRISH, T. ...et al., 2017. BIM application to building energy performance visualisation and management: Challenges and potential. Energy and Buildings, 144 (June 2017), pp. 218–228.


Elsevier © The Authors


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This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

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This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/