Optimizing Energy Efficiency in Operating Built Environment Assets through Building Information Modeling: A Case Study

Ioan Petri, Sylvain Kubicki, Yacine Rezgui, Annie Guerriero and Haijiang Li
Additional contact information
Ioan Petri: BRE Institute in Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF243AA, UK
Sylvain Kubicki: Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg, Luxembourg
Yacine Rezgui: BRE Institute in Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF243AA, UK
Annie Guerriero: Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg, Luxembourg
Haijiang Li: BRE Institute in Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF243AA, UK

Energies, 2017, vol. 10, issue 8, 1-17

Abstract: Reducing carbon emissions and addressing environmental policies in the construction domain has been intensively explored with solutions ranging from energy efficiency techniques with building informatics to user behavior modelling and monitoring. Such strategies have managed to improve current practices in managing buildings, however decarbonizing the built environment and reducing the energy performance gap remains a complex undertaking that requires more comprehensive and sustainable solutions. In this context, building information modelling (BIM), can help the sustainability agenda as the digitalization of product and process information provides a unique opportunity to optimize energy-efficiency-related decisions across the entire lifecycle and supply chain. BIM is foreseen as a means to waste and emissions reduction, performance gap minimization, in-use energy enhancements, and total lifecycle assessment. It also targets the whole supply chain related to design, construction, as well as management and use of facilities, at the different qualifications levels (including blue-collar workers). In this paper, we present how building information modelling can be utilized to address energy efficiency in buildings in the operation phase, greatly contributing to achieving carbon emissions targets. In this paper, we provide two main contributions: (i) we present a BIM-oriented methodology for supporting building energy optimization, based on which we identify few training directions with regards to BIM, and (ii) we provide an application use case as identified in the European research project “Sporte2” to demonstrate the advantages of BIM in energy efficiency with respect to several energy metrics.

Keywords: building information modeling; energy optimization; buildings; operation phase; training (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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