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The objective of this paper is to illustrate a novel visualization methodology which can enhance the complementary relationship betweencomputers and designers of high performance buildings. The proposed approach facilitates Multi-Criterion Decision Making via interactivevisualization that allows dynamic adjustment of important variables, while providing a visual range of allowable variation for the other designparameters. The parallel coordinates visualization technique is the culmination of a methodology which includes the application of Monte Carlotechniques to create a database of solutions using whole building energy simulations, along with data mining methods to rank variableimportance and reduce the multi-dimensionality of the design problem. The solution set are then fit by a second order regression model whichcan instantaneously provide bounds on specific regressor variables when other variables values are changed , while satisfying pre-set energyperformance limits. The methodology is illustrated using the USDOE medium office building configuration with 15 design variables.
Citation: 2016 Winter Conference, Orlando, FL, Conference Papers
Product Details
- Published:
- 2016
- Number of Pages:
- 8
- Units of Measure:
- Dual
- File Size:
- 1 file , 2.6 MB
- Product Code(s):
- D-OR-16-C051
