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NUI Galway – UL Alliance First Annual ENGINEERING AND - ARAN ...

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Building Information Modelling during the Operational Phase of the Building<br />

Lifecycle<br />

Edward Corry, Marcus Keane<br />

<strong>NUI</strong> <strong>Galway</strong>, Civil Engineering Department, Informatics Research Unit for Sustainable<br />

Engineering (IRUSE)<br />

e.corry1@nuigalway.ie<br />

Abstract<br />

The growth of Building Information Modelling<br />

(BIM) in the past few years has been exceptional. The<br />

majority of firms in the AEC industry are either using<br />

BIM in some form or are developing skills in this area.<br />

Up to now, the focus has largely been on the design and<br />

construction phases of the Building Lifecycle (BLC)[1].<br />

Building owners and operators are keen to optimize<br />

their building operation and to reduce costs where<br />

appropriate. The capture and utilization of operational<br />

data is a primary concern. Standards and guides are<br />

now emerging into the area of operational data and the<br />

transformation of this data into meaningful information<br />

on building performance [2] [3].<br />

This research is concerned with investigating the<br />

role of BIM within the operational phase of the BLC<br />

and the integration of the BIM with operational data to<br />

provide greater levels of performance information for<br />

the building operator.<br />

1. Introduction<br />

Modern buildings tend to be highly complex and<br />

unique structures and building projects tend to bring<br />

disparate groups of experts, including architects,<br />

contractors, sub-contractors, project managers and<br />

operators together, on what is often a once off basis, in<br />

order to construct a building in often inhospitable<br />

conditions.<br />

Communication methods between the various<br />

domains and throughout the Building Life Cycle (BLC)<br />

tend to be paper based and interoperability is a<br />

recognised problem [4].<br />

The pattern of building operation is often far<br />

removed from that envisaged at design time. The<br />

commissioning process often produces MEP systems<br />

different to what was designed.<br />

2. Research Problem and Proposed Solution<br />

This research seeks to establish direct links between<br />

design intent and actual performance. The role of the<br />

Building Information Model is crucial in this regard as<br />

it serves as a repository for all information relating to<br />

the building [5]. By seeking to integrate the BIM with<br />

operational data, the author hopes to demonstrate<br />

efficiencies in building operation.<br />

The type of information stored within an as-built<br />

BIM should provide a significant informational aid for<br />

facility managers in the realm of building operation,<br />

17<br />

building maintenance and asset management. The<br />

definition and presentation of building operational data<br />

is also an important part of this research and seeks to<br />

build on efforts already made in this regard.<br />

The proposed solution to the research problem will<br />

include:<br />

An investigation into the role of operational<br />

data in building optimization;<br />

The use of Building Information Modelling in<br />

the operational phase of the Building<br />

Lifecycle;<br />

The integration of BIM with existing facility<br />

management practices to promote<br />

interoperability and efficiencies.<br />

3. Conclusions<br />

This research is focused primarily on the operational<br />

phase of the Building Lifecycle. It specifies practices<br />

that will promote efficiencies in building operation and<br />

seeks to further define the role of BIM in the<br />

operational phase further away from an asset<br />

management and scheduling resource towards a tool for<br />

the interrogation of operational data.<br />

4. References<br />

[1] S. Jones, The Business Value of BIM: Getting<br />

Building Information Modelling to the Bottom<br />

Line, Penn Plaza, New Yok: McGraw-Hill<br />

Construction, 2009.<br />

[2] K.L. Gillespie, Jr., P. Haves, R.J. Hitchcock, J.J.<br />

Deringer, and K. Kinney, “A Specifications Guide<br />

for Performance Monitoring Systems,” 2007.<br />

[3] K. Fowler, A. Solana, and K. Spees, Building Cost<br />

and Performance<br />

Metrics: Data Collection Protocol Revision 1.1,<br />

Richland, Washington: Pacific Northwest National<br />

Laboratory, operated for the U.S. Department of<br />

Energy by Battelle, 2005.<br />

[4] C. Eastman, BIM handbook : a guide to building<br />

information modeling for owners, managers,<br />

designers, engineers, and contractors, Hoboken<br />

N.J.: Wiley, 2008.<br />

[5] D.A. Jordani, “BIM and FM: The Portal to<br />

Lifecycle Facility Management,” Journal of<br />

Building Information Modeling, vol. Spring 2010,<br />

2010, pp. 13-16.

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