CLIP: Computational support for Lifecycle Integral building Performance assessment

PHD Research

dr. Ipek Gursel Dino



PhD started in: 2006


Latest graduate degree 2010


undergraduate degree  2000


Promoter(s): I. S. Sariyildiz


Ö. Akin (Carnegie Mellon University, USA)


R.M.F. Stouffs



Main Question: What viable computational model can support the existing LBPA processes?



Deliverables: the requirements of the CLIP reference model, the CLIP model itself, two implementation models that extend and adapt CLIP, and guidelines for prospective developers to extend and adapt CLIP.











Keywords: building performance, buildings in use, building information modeling, software development



Area of Research: Computation & Performance



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

























Research Summary:

Research Summary: Please add a maximum 250 words summary of your PhD research here. You may give a summary of objectives, problems, propositions/hypotheses etcetera.

In the building industry, there is an increasing attention to high building performance throughout the building lifecycle due to the increasing complexity of the buildings, building technologies and occupant needs. There is great potential in the existing building stock and its performance assessment for meaningful environmental impact in terms of energy-efficiency. This research places focus on lifecycle building performance assessment (LBPA) practices, with the aim of the development of a computational model in support of the existing LBPA processes.

This research tackles several LBPA characteristics that hamper the LBPA work quality. The LBPA information varies significantly with respect to organizational or regional practices, assessment methods and disciplines. The context-dependency of LBPA processes impedes the management and dissemination of LBPA information. Assessment practices are applied discretely, with insufficient or no integration. Therefore, the information is distributed, leading to redundancy and information overlap. Computational support for LBPA has the potential to improve the efficiency and quality of the existing LBPA processes and facilitate sound decisions being taken.



Research Methodology:

In this research, a computational model, Computational support for Lifecycle Integral Performance assessment (CLIP) is developed. CLIP comprises flexible, modular, and extensible data structures and algorithms for the representation, transformation, integration, and visualization of LBPA related information. CLIP is a conceptual reference model that aims to address a broad range

of LBPA practices, capturing the concepts and functions common to most LBPA practices. At

the same time, CLIP encourages context-specific data analysis functions to be developed and

integrated per context. CLIP facilitates the development of applications supporting existing

LBPA practices, and therefore can be considered as a development platform.


CLIP, as a reference model, needs to be tailored to fit the local requirements, functions, information content and domain knowledge. This research involves the development of two such models that extend and adapt the CLIP reference model to their contexts. The first model is developed for a publicly funded project project, Energy Performance Integration for Corporate public Real Estate Management (EPI-CREM) that aims to develop methods and tools to improve energy efficiency across the public building stock in Europe by embedding energy issues into the existing corporate public real estate management (CREM) processes.  CLIP EPI-CREM is tested by the EPI-CREM project partners

, and is being considered by outside parties to be functionally developed further or to be integrated with other tools as a data source. The second model is developed for the Carnegie Mellon University Facility Management Services (CMU FMS) in the USA, in which LBPA is practiced as an embedded process during daily maintenance. The CLIP CMU model and application is based on CLIP, while extending it with a plug-in analysis module developed as part of this research, CLIP Traceability. CLIP CMU is tested in collaboration with the CMU FMS staff with real building data, and showed great potential to successfully support the LBPA activities as a lifelong and integrated process in the CMU FMS case.


The two LBPA contexts and the corresponding implementation models allowed this research to evaluate the fittingness of CLIP in existing LBPA processes by testing the correspondence between the measures of the real world and the implemented models. As a result of these two development processes, CLIP has proven to easily lend itself for further development while accelerating the process of conception, development and implementation. Other CLIP extension models are expected to be developed and implemented for other LBPA processes, whose specifics are not addressed yet in this

research. Each such LBPA context and model yields valuable information in return, helping to

improve CLIP further. As such, CLIP can continuously be refined with the empirical results of

future development efforts.



Key Publications:

DINO, I. G., LEEUW, R., SARIYILDIZ, S. & STOUFFS, R. 2012. A Method for Energy Performance Integration in Corporate Public Real Estate Management. Journal of Performance of Constructed Facilities.

GURSEL, I., SARIYILDIZ, S., AKIN, Ö. & STOUFFS, R. 2009. Modeling and visualization of lifecycle building performance assessment. Advanced Engineering Informatics, 23, 396-417.

GURSEL, I., SARIYILDIZ, S., STOUFFS, R. & AKIN, Ö. 2009. Contextual Ontology Support as External Knowledge Representation for Building Information Modeling. Joining Languages, Cultures and Visions : CAADFutures. Montreal.

GURSEL, I., STOUFFS, R. & SARIYILDIZ, S. 2007. A computational framework for integration of performance information during the building lifecycle. 24th W78 Conference, Maribor, 26-29.

Gürsel, I., Sariyildiz, S. & Stouffs, R. (2010) Supporting performance data acquisition and analysis for corporate public real estate management, in W. Tizani (ed.) Computing in Civil and Building Engineering, Proceedings of the International Conference (icccbe2010).  Nottingham University Press

Gürsel, I., Stouffs, R. & Sariyildiz, S. (2008) Managing Visual Complexity in a Digital Performance Assessment Tool, in Y. Rafiq, P. de Wilde & M. Borthwick (eds.) Intelligent Computing in Engineering (ICE08) Proceedings. Plymouth, UK








Telnr +3127892136


Room 01+.West.040


Faculty of Architecture and the

Built Environment


Building 8


Julianalaan 134


2628 BL Delft