A Model for Decision Support in Energy Efficient Redesign Process

PHD Research

Irem Erbas




PhD started in: 2008


Latest graduate degree: M.Arch, 2006


undergraduate degree:  B.Arch, 2003


Promoter(s): Prof.Dr.Ir. Sevil Sariyildiz,


Prof.Dr.Ir.Anke van Hal (co-promoter)


Daily Supervisor(s): Assoc.Prof.Dr.Ir. Rudi Stouffs



Main Question:

What are the information and knowledge needs of architects during an energy efficient redesign process and what would be the approach to integrate and present such specific knowledge to better guide them?



The output will be a model as a reference for a tool development. This model will define the route for the architects to make an existing house more energy efficient and comfortable.








Keywords: Energy efficiency, performance, redesign, existing houses, decision support, tool uses of architects



Area of Research: Computation & Performance



Chair of Design Informatics, Dept. of Architectural Engineering + Technology, Faculty of Architecture



































Research Summary:

Existing houses are still way behind high performances in terms of energy efficiency in spite of the stringent European Commission regulations on energy use of buildings. One of the impediments is observably the investment costs which is generally the primary concern of the clients and most of the time block the architects to incorporate energy efficient measures during their design process. However there are also other reasons. One of these reasons identified (among others) has the utmost relevance to this research. It is lack of an adequate decision support as a tool or as a road map to help architects in their choices independent of customer wishes - a model for architects which can enable the high performance energy efficient buildings incorporating assessment of the performance of design choices beforehand. Related architectural requirements and evaluation of available support tools for this process will be the main inputs for the model creation. Results of the evaluation will also reflect what is missing and to be added to the existing support tools as well as the basis of the model. This model definition is expected to accelerate and facilitate the design process of architects to reach more sustainable solutions. With the identification and structuration of the information required would also allow the developers to define boundaries in which an effective support tool should operate and to create the tool itself.  This study requires analysis of what kind of knowledge is needed by the architects, the way information should flow in the overall process and in what kind of an environment it would be presented to them to facilitate improvement of energy and indoor comfort performance of a house.



Research Methodology:



































Key Publications:

1. ERBAS, I. and VAN DIJK, S., 2012. A survey for the improvement of decision support tools for effective sustainable architectural design. International Journal of Sustainable Building Technology and Urban Development, 3(4): 294-305.

2. ERBAS, I. and VAN DIJK, S., 2012. Future direction for effective sustainable design: A survey on the extent and the format of a decision support tool.  In Building Sustainability Assessment (BSA), Proceedings of the 1st International Conference, R. AMOÊDA, R. MATEUS, L. BRAGANÇA and C. PINHEIRO (Editors), 23-25 May, Porto, Portugal, Green Lines Institute (publisher), ISBN: 978-989-95671-6-0 (e-book).

3. VAN DIJK, S. and ERBAS. I., 2012. Future direction for effective sustainable design: A preliminary study on utilization of existing tools in the architectural practice. In Building Sustainability Assessment (BSA), Proceedings of the 1st International Conference, R. AMOÊDA, R. MATEUS, L. BRAGANÇA and C. PINHEIRO (Editors), 23-25 May, Porto, Portugal, Green Lines Institute (publisher), ISBN: 978-989-95671-6-0 (e-book).

4. ERBAS, I., BITTERMAN, M. S. and STOUFFS, R., 2011. Use of a knowledge model for integrated performance evaluation for housing (re)design towards environmental sustainability : A case study. In Computer Aided Architectural Design Futures (CAAD Futures), Proceedings of the 14th International Conference, P. LECLERCQ, A. HEYLIGHEN and G. MARTIN (Editors), 4-8 July, Liege, Belgium, Liege University Press, pp. 281-296, ISBN 9782874561429.

5. ERBAS, I., STOUFFS, R. and SARIYILDIZ, S., 2011. Knowledge based integration of sustainability issues in the (re)design process. In AAAI Spring Symposium Series, Artificial Intelligence and Sustainable Design, Technical Report SS-11-02, 21-23 March, Stanford, California, US. Available at: http://aaai.org/ocs/index.php/SSS/SSS11/paper/view/2478.

6. ERBAS, I., STOUFFS, R., SARIYILDIZ, I. and VAN HAL, A., 2010. Description of a methodology for decision support for energy efficient housing redesign. In Computing in Civil and Building Engineering (ICCCBE), Proceedings of the 13th International Conference, W. TIZANI (Editor), 30 June-2 July, Nottingham, UK, Nottingham University Press, Paper 183, p. 365, ISBN 978-1-907284-60-1.






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