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.
Funding
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.
History
School
Architecture, Building and Civil Engineering
Published in
Energy and Buildings
Volume
144
Pages
218 - 228
Citation
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.
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/
Acceptance date
2017-03-13
Publication date
2017-03-22
Notes
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/