Description

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