The renovation of existing buildings usually involves decision-making processes aiming at reducing energy consumption and building maintenance costs. The goal of this paper is to prioritize what components/systems need to be replaced. It focuses on renovation strategies from the maintenance density and energy consumption point of view. A Decision Support Framework (DSF) was developed for future development of Decision Support System. Data warehousing methodologies were used to extract, store and analyze maintenance data. A Web application was developed to display the frequency of faults and density of maintenance of six distinct buildings at University College Cork (UCC). A generic Decision Support Model (DSM) with six sections was developed, which was implemented to a computerized semi-automatic tool – Decision Support Tool (DST). Integrating the analysis results and the DST, five renovation suggestions were proposed.
[1]
Bhaskar Natarajan,et al.
Energy conservation guidelines for government office buildings in New Delhi
,
1991
.
[2]
de B Bauke Vries,et al.
Energy saving renovation, analysis of critical factors at building level
,
2008
.
[3]
Jiawei Han,et al.
Data Mining: Concepts and Techniques
,
2000
.
[4]
Martin K T Wu BSc MSc CEng Mhkie Miee Mcibse,et al.
Office Lighting Retrofit Using T5 Fluorescent Lamps and Electronic Ballasts
,
2003
.
[5]
L Allan,et al.
A Concept for IT-Supported Carbon Neutral Renovation
,
2009
.