An assessment model addressed to early phases of architectural design process prioritized by energy performance

It is widely accepted that decisions taken during the early phases of building design can have a large role in ensuring the performance of the end product. Thus, building performance simulation outcomes are important towards expanding the capabilities of the design team to make well-informed choices at the beginning of the design process. As an indirect way of using performance simulations within design process, a new methodology has been explored by help of sensitivity analysis. Sensitivity analysis is considered an effective instrument to evaluate the impact of design parameters on building performance and to identify which parameters are the most effective ones. The aim of this thesis is to examine the sensitivity of energy performance of school building schemes which are still at an early stage of the building design process. In order to reveal the sensitivity difference towards climatic conditions, the analysis has been performed for four degree day regions of Turkiye. The ESP-r building performance simulation program has been used to generate data for the study. A representative classroom block has been modeled and the input parameters are determined. The analysis has been carried out from point of view of annual heating energy consumption and annual cooling energy consumption. The consequence of the thesis includes attempt to develop a new, more thermally robust school outline design concept called Modulsco that is significantly more robust than the current general scheme. In order to test Modulsco, three pre-design alternatives applied to different climatic regions of Turkiye to allow validation of the outcomes proposed in this study. The methodology is established as a general framework of developing design guideline for Turkish building designers who intend to design with climate.

[1]  Jay Burch,et al.  Methodology for Validating Building Energy Analysis Simulations , 2008 .

[2]  Roberto Lamberts,et al.  BUILDING SIMULATION CALIBRATION USING SENSITIVITY ANALYSIS , 2005 .

[3]  Charles M. Eastman,et al.  Product modeling strategies for today and the future , 1998 .

[4]  Ipek Ozkaya,et al.  Requirement-driven design: assistance for information traceability in design computing , 2005 .

[5]  Drury B. Crawley,et al.  What`s next for building energy simulation -- a glimpse of the future , 1997 .

[6]  M G Apte,et al.  Indoor air quality, ventilation and health symptoms in schools: an analysis of existing information. , 2003, Indoor air.

[7]  Harry Timmermans,et al.  Towards more effective use of building performance simulation in design , 2004 .

[8]  Christina J. Hopfe,et al.  Uncertainty and sensitivity analysis for detailed design support , 2007 .

[9]  Rafael Serra,et al.  Robust design: a way to control energy use from the human behaviour in architectural spaces , 2006 .

[10]  Joseph C. Lam,et al.  Sensitivity analysis of energy performance of office buildings , 1996 .

[11]  D. Hamby A review of techniques for parameter sensitivity analysis of environmental models , 1994, Environmental monitoring and assessment.

[12]  Jan Hensen,et al.  SIMULATION AS A TOOL TO DEVELOP GUIDELINES FOR THE DESIGN OF SCHOOL SCHEMES FOR FOUR CLIMATIC REGIONS OF TURKIYE , 2007 .

[13]  Jlm Jan Hensen,et al.  Computational tools for building services design - professional's practice and wishes , 2006 .

[14]  Vice President,et al.  AMERICAN SOCIETY OF HEATING, REFRIGERATION AND AIR CONDITIONING ENGINEERS INC. , 2007 .

[15]  G. Augenbroe,et al.  Integration of Simulation into the Building Design Process , 1991 .

[16]  Jan Hensen,et al.  EXPLORATION OF THE USE OF BUILDING PERFORMANCE SIMULATION FOR CONCEPTUAL DESIGN , 2005 .

[17]  Charles M. Eastman,et al.  Building Product Models: Computer Environments, Supporting Design and Construction , 1999 .

[18]  Gülser Çelebi,et al.  Development of a thermally robust school outline design for the different climate regions of Turkiye , 2009 .

[19]  I. Macdonald Assessing the significance of design changes when simulating building performance including the effects of uncertain input data , 2004 .

[20]  Thomas Lützkendorf,et al.  Using an integrated performance approach in building assessment tools , 2006 .

[21]  Jlm Jan Hensen Simulating building performance: just how useful is it? , 2003 .

[22]  Rivka Oxman,et al.  Theory and design in the first digital age , 2006 .

[23]  Lisa Heschong,et al.  Daylighting Impacts on Human Performance in School , 2002 .

[24]  Hanne Tine Ring Hansen SENSITIVITY ANALYSIS as a methodical approach to the development of design strategies for environmentally sustainable buildings , 2007 .

[25]  Jon C. Helton,et al.  Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..

[26]  Borong Lin,et al.  Building simulation as assistance in the conceptual design , 2008 .

[27]  Stefano Tarantola,et al.  Sensitivity analysis practices: Strategies for model-based inference , 2006, Reliab. Eng. Syst. Saf..

[28]  T. Kusuda EARLY HISTORY AND FUTURE PROSPECTS OF BUILDING SYSTEM SIMULATION , 1999 .

[29]  Yehuda E. Kalay,et al.  The impact of information technology on design methods, products and practices , 2006 .

[30]  Jlm Jan Hensen,et al.  Building and environmental performance simulation : current state and future issues , 2001 .

[31]  Kevin J. Lomas,et al.  Sensitivity analysis techniques for building thermal simulation programs , 1992 .

[32]  P.J.C.J. De Wilde,et al.  Computational Support for the Selection of Energy Saving Building Components , 2004 .

[33]  Nyuk Hien Wong,et al.  Total building performance evaluation of academic institution in Singapore , 2003 .

[34]  Tianzhen Hong,et al.  Building simulation: an overview of developments and information sources , 2000 .