Building Information Modelling [BIM] for energy efficiency in housing refurbishments

Building Information modelling offers potential process and delivery improvements throughout the lifecycle of built assets. However, there is limited research in the use of BIM for energy efficiency in housing refurbishments. The UK has over 300,000 solid wall homes with very poor energy efficiency. A BIM based solution for the retrofit of solid wall housing using lean and collaborative improvement techniques will offer a cost effective, comprehensive solution that is less disruptive, reduces waste and increases accuracy, leading to high quality outcomes. The aim of this research is to develop a BIM based protocol supporting development of 'what if' scenarios in housing retrofits for high efficiency thermal improvements, aiming to reduce costs and disruption for users. The paper presents a literature review on the topic and discusses the research method for the research project (S-IMPLER).

[1]  J. Aken Management Research Based on the Paradigm of the Design Sciences: The Quest for Field-Tested and Grounded Technological Rules , 2004 .

[2]  Kalle Lyytinen,et al.  Managing as Designing: Lessons for Organization Leaders from the Design Practice of Frank O. Gehry , 2008, Design Issues.

[3]  Mirkka Rekola,et al.  Towards Integrated Design and Delivery Solutions: Pinpointed Challenges of Process Change , 2010 .

[4]  J. Hills,et al.  Getting the measure of fuel poverty: final report of the Fuel Poverty Review , 2012 .

[5]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[6]  Alan R. Hevner,et al.  POSITIONING AND PRESENTING DESIGN SCIENCE RESEARCH FOR MAXIMUM IMPACT 1 , 2013 .

[7]  Paul Cooper,et al.  Existing building retrofits: Methodology and state-of-the-art , 2012 .

[8]  James Sommerville,et al.  No‐fines concrete in the UK social housing stock: 50 years on , 2011 .

[9]  Ross Dawson Developing Knowledge-Based Client Relationships: Leadership in Professional Services , 2000 .

[10]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[11]  Jan Holmström,et al.  Bridging Practice and Theory: A Design Science Approach , 2009, Decis. Sci..

[12]  Nan Li,et al.  Application Areas and Data Requirements for BIM-Enabled Facilities Management , 2012 .

[13]  C. Baden‐Fuller,et al.  Business Models and Technological Innovation , 2013 .

[14]  T MarchSalvatore,et al.  Design and natural science research on information technology , 1995 .

[15]  Vijay K. Vaishnavi,et al.  Design Science Research Methods and Patterns: Innovating Information and Communication Technology , 2007 .

[16]  Gordon Rae,et al.  Defining Fuel Poverty in Northern Ireland: A preliminary review , 2011 .

[17]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[18]  Vítor Leal,et al.  A methodology for economic efficient design of Net Zero Energy Buildings , 2012 .

[19]  Burcin Becerik-Gerber,et al.  A Research Outlook for Real-Time Project Information Management by Integrating Advanced Field Data Acquisition Systems and Building Information Modeling , 2009 .

[20]  James Sommerville,et al.  No‐fines concrete homes: atypical thermal performances , 2013 .

[21]  Victoria Hoban,et al.  The Reflective Practitioner , 2013 .