Thermal simulation software outputs: a conceptual data model of information presentation for building design decision-making

Building simulation outputs are inherently complex and numerous. Extracting meaningful information from them requires knowledge which mainly resides only in the hands of experts. Initiatives to address this problem tend either to provide very constrained output data interfaces or leave it to the user to customize data organisation and query. This work proposes a conceptual data model from which meaningful dynamic thermal simulation information for building design decision-making may be constructed and presented to the user. It describes how the model was generated and can become operational, with examples of its applications to practical problems. The paper therefore contains useful information for software developers to help in specifying and designing simulation outputs which better respond to building designers’ needs.

[1]  Stuart C Burgess,et al.  Visual data exploration in sustainable building design , 2012 .

[2]  P. Moran On the method of paired comparisons. , 1947, Biometrika.

[3]  Bryan Lawson,et al.  How Designers Think: The Design Process Demystified , 1990 .

[5]  Clarice Bleil De Souza,et al.  Thermal simulation software outputs: what do building designers propose? , 2013 .

[6]  Konstantinos Papamichael,et al.  Product modeling for computer-aided decision-making , 1999 .

[7]  Alan Cooper,et al.  About Face 3: the essentials of interaction design , 1995 .

[8]  Spyridon Stravoravdis,et al.  A Proposed Method for Generating, Storing and Managing Large Amounts of Modelling Data Using Scripts and On-line Databases , 2005 .

[9]  Helen Wright,et al.  Introduction to scientific visualization , 2006 .

[10]  Joseph Andrew Clarke,et al.  Communicating building simulation outputs to users , 2003 .

[11]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction. Second Edition , 2007 .

[12]  Joseph Andrew Clarke,et al.  Qualitative analysis of the usefulness of perceptualisation techniques in communicating building simulation outputs , 2005 .

[13]  H. A. David,et al.  The method of paired comparisons , 1966 .

[14]  Rudi Stouffs,et al.  Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms , 2011, Adv. Eng. Informatics.

[15]  Matthew O. Ward,et al.  Interactive data visualization , 2010 .

[16]  Ardeshir Mahdavi,et al.  TOWARD A UNIFIED INFORMATION SPACE FOR THE SPECIFICATION OF BUILDING PERFORMANCE SIMULATION RESULTS , 2005 .

[17]  Maryanne M. Gobble,et al.  Design Thinking , 2010, The Palgrave Encyclopedia of the Possible.

[18]  Donald A. Schön Problems, frames and perspectives on designing , 1984 .

[19]  Clarice Bleil de Souza,et al.  Thermal simulation software outputs: a framework to produce meaningful information for design decision-making , 2015 .

[20]  Philippe Rigo,et al.  A review on simulation-based optimization methods applied to building performance analysis , 2014 .

[21]  I. G. Capeluto,et al.  Advice tool for early design stages of intelligent facades based on energy and visual comfort approach , 2009 .

[22]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[23]  Clarice Bleil de Souza,et al.  Thermal simulation outputs: exploring the concept of patterns in design decision-making , 2016 .

[24]  James P. Waltz Computerized Building Energy Simulation Handbook , 1999 .

[25]  Veronica Soebarto,et al.  Multi-criteria assessment of building performance: theory and implementation , 2001 .

[26]  Luís Miguel,et al.  An Exploratory Study about the Benefits of Targeted Data Perceptualisation Techniques and Rules in Building Simulation , 2006 .

[27]  Donald A. Schön The reflective practitioner : how professionals think in action , 1986 .

[28]  Jonathan A. Wright,et al.  SOLUTION ANALYSIS IN MULTI-OBJECTIVE OPTIMIZATION , 2012 .

[29]  Ömer Akin,et al.  Variants in Design Cognition , 2001 .

[30]  Christian Inard,et al.  A new methodology for the design of low energy buildings , 2009 .

[31]  Ellen Franconi INTRODUCING A FRAMEWORK FOR ADVANCING BUILDING ENERGY MODELLING METHODS & PROCESSES , 2011 .

[32]  Jlm Jan Hensen,et al.  Building simulation 2003 for better building design : 8th international IBPSA conference, August 11-14, 2003, Eindhoven, The Netherlands , 2003 .

[33]  A. Bryman Social Research Methods , 2001 .

[34]  Matthew O. Ward,et al.  Interactive Data Visualization - Foundations, Techniques, and Applications , 2010 .

[35]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[36]  Farzin Haghparast,et al.  THE APPLICATION OF COMPUTER-OPTIMISED SOLUTIONS TO TIGHTLY DEFINED DESIGN PROBLEMS , 2006 .

[37]  Andrew Marsh,et al.  A COMPUTATIONAL APPROACH TO REGULATORY COMPLIANCE , 2005 .

[38]  Bryan Lawson,et al.  How Designers Think , 1980 .

[39]  Henri Christiaans,et al.  Design Knowing and Learning: Cognition in Design Education , 2002 .

[40]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction , 2002 .

[41]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[42]  Bilge Mutlu,et al.  Qualitative Analysis , 1928, Nature.

[43]  Chandler Stolp,et al.  The Visual Display of Quantitative Information , 1983 .

[44]  Clarice Bleil De Souza,et al.  The AUDITAC Customer Advising Tool (CAT) to assist the inspection and audit of air conditioning systems in buildings , 2007 .

[45]  Konstantinos Papamichael Application of information technologies in building design decisions , 1999 .

[46]  Kevin B. Pratt,et al.  A METHOD FOR THE DESIGN AND ANALYSIS OF PARAMETRIC BUILDING ENERGY MODELS , 2011 .

[47]  Robert Spence,et al.  Information Visualization: Design for Interaction (2nd Edition) , 2006 .

[48]  Donald A. Schön Designing: Rules, types and worlds , 1988 .

[49]  Riccardo Mazza,et al.  Introduction to Information Visualization , 2009 .

[50]  Simon Tucker,et al.  Thermal simulation software outputs: patterns for decision making , 2013 .

[51]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[52]  R. Busch,et al.  The Design of Energy-Responsive Commercial Buildings , 1984 .

[53]  Svend Svendsen,et al.  Method and simulation program informed decisions in the early stages of building design , 2010 .