1. Visual Analytics for Roof Savings Calculator Ensembles Chad Jones (Apple) Kwan-Liu Ma (UC-Davis) Jibo Sanyal (ORNL) Joshua New, Ph.D. Building Technologies Research & Integration Center (BTRIC) Whole Building and Community Integration newjr@ornl.gov; (865)241-8783 for Energy Informatics 2012 Atlanta, GA October 6, 2012

2. 2Managed by UT-Battelle for the U.S. Department of Energy Science to transform today's buildings into smart, responsive, and efficient structures Sensors, Controls, Grid Neutron Science Materials Science Building Science Experimental S&T Capabilities Modeling and Visualization R&D Computational Science Web-Based Tools Data/Knowledge Automated Model Calibration Better Buildings via Novel Tools and Technologies Data/Knowledge Innovative Products Next Generation Commercial Buildings Next Generation Residential Buildings Industry CRADAs

3. 3Managed by UT-Battelle for the U.S. Department of Energy 4 th Paradigm 3

4. 4Managed by UT-Battelle for the U.S. Department of Energy Presentation Summary Energy Context Roof Savings Calculator Visual Analytics Techniques – Cityscape – Maps – High-def line rendering – Interactive bar charts – Parallel Coordinate Plots (PCP) – Linked-view interaction

5. 5Managed by UT-Battelle for the U.S. Department of Energy Presentation Summary Energy Context Roof Savings Calculator Visual Analytics Techniques – Cityscape – Maps – High-def line rendering – Interactive bar charts – Parallel Coordinate Plots (PCP) – Linked-view interaction

6. 6Managed by UT-Battelle for the U.S. Department of Energy Buildings use a lot of energy 1/3 of all energy and 2/3 of all electricity used in the US $220 billion in annual energy costs Source: US Department of Energy Figure 1. U.S. Primary energy consumption, 2006 Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008.

7. 7Managed by UT-Battelle for the U.S. Department of Energy Energy is the Defining Challenge of Our Time Buildings in U.S. – 40% of primary energy/carbon, 73% of electricity, 34% of gas Buildings in China – 60% of urban building floor space in 2030 has yet to be built Buildings in India – 67% of all building floor space in 2030 has yet to be built Global energy consumption will increase 50% by 2030 “Upgrading the energy efficiency of America’s buildings is one of the fastest, easiest, and cheapest ways to save money, cut down on harmful pollution, and create good jobs…” President Obama, December 2, 2011, while announcing Better Buildings Challenge

8. 8Managed by UT-Battelle for the U.S. Department of Energy Presentation Summary Energy Context Roof Savings Calculator Visual Analytics Techniques – Cityscape – Maps – High-def line rendering – Interactive bar charts – Parallel Coordinate Plots (PCP) – Linked-view interaction

9. 9Managed by UT-Battelle for the U.S. Department of Energy Figure 2. Residential energy loads attributed to envelope and windows Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008. Figure 3. Commercial energy loads attributed to envelope and windows Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008.

10. 10Managed by UT-Battelle for the U.S. Department of Energy Attic Thermodynamics

11. 11Managed by UT-Battelle for the U.S. Department of Energy 11 Roof Savings Calculator Building Details HVAC efficiency and utility prices Roof and Attic Information (base vs. comp) Reports energy and cost savings DOE-2.1E+AtticSim

12. 12Managed by UT-Battelle for the U.S. Department of Energy AtticSim DOE-2

13. 13Managed by UT-Battelle for the U.S. Department of Energy 13 RoofCalc.com Impact Average: 79 visitors/day 24,100 web simulations, 156 users/feedback, 3+ million runs

14. 14Managed by UT-Battelle for the U.S. Department of Energy RoofCalc.com Redesign Cathy Zoi feedback – more educational info Google Maps for weather More pictures and links to additional resources Database for immediate recall of prior simulations Interactive graphics and utility rates on results

15. 15Managed by UT-Battelle for the U.S. Department of Energy 15 Roof Savings Calculator (v0.9)

16. 16Managed by UT-Battelle for the U.S. Department of Energy CentiMark & FY13 CentiMark’s CIO contacted ORNL #2 in US roofing (but centralized) 25.8% of the top 20 market 2500 roof quotations per month Installs 50+ million ft 2 annually FY13 Work Software comparison (E+, DOE-2, Micropas) Empirical validation (ORNL, TAMU) RSC Update Deployment

17. 17Managed by UT-Battelle for the U.S. Department of Energy Presentation Summary Energy Context Roof Savings Calculator Visual Analytics Techniques – Cityscape – Maps – High-def line rendering – Interactive bar charts – Parallel Coordinate Plots (PCP) – Linked-view interaction

18. 18Managed by UT-Battelle for the U.S. Department of Energy 18 Prior Projects Web Server PowerEdge R510 RoofCalc.com http://vis.cs.ucdavis.edu/~jonesc/PCP/ Visualization of 3.5 million RSC simulations Visual Analytics (PCP) Visual Analytics (Computing) AI Models Nautilus Supercomputer Sensor Data Building Energy

19. 19Managed by UT-Battelle for the U.S. Department of Energy 19 Visual Analytics (demo) Visualization techniques (for Energy Simulation) – City-Scape, Artificial Terrain

20. 20Managed by UT-Battelle for the U.S. Department of Energy Climate Zone Map Climate zones (1-8) shown on map.

21. 21Managed by UT-Battelle for the U.S. Department of Energy High-Density Time Plots ContextFocus Each line is the energy usage for a single simulation Apply logarithmic coloring scaling to emphasis high traffic regions Render outlier lines separately

22. 22Managed by UT-Battelle for the U.S. Department of Energy Category View Categorical Context Mouse Hover Highlight Categorical Focus Bars for each category show occupancy levels Grouped by dimension; highlighting & focus rendering

23. 23Managed by UT-Battelle for the U.S. Department of Energy Parallel Coordinates One parallel axis per data dimension; One line per data item crosses every axis Min Max X Y Min Max X Y Scatterplot vs. Parallel Coordinates

24. 24Managed by UT-Battelle for the U.S. Department of Energy PCP - car data set 24

25. 25Managed by UT-Battelle for the U.S. Department of Energy PCP Bin Rendering Transfer Function Coloring: – Occupancy or Leading Axis

26. PCP Line Rendering Can use coloring to denote amount of lines. Example:

27. PCP Line Rendering Advantages: – All data items are precisely represented – Best suited for numerical variables Disadvantages: – Render time proportional to size of data – Suffers from overplotting – Not well suited for categorical data

28. Parallel Coordinates Aggregate lines into 2D histogram bins between every pair of axes. Min Max X Y Min Max X Y 2D Histogram vs. Parallel Bins

29. PCP Binning Bins can be rendered faster than lines Can control accuracy of numerical axes by varying the histogram size Provides more flexible rendering styles for categorical axes: – Category Stacking – Proportional Sizing

30. Parallel Coordinates Overview Combined binning and parallel sets styles Width-preserving curve rendering Multi-threaded selection and bin updates Category stacking with focus convergence Transfer function coloring of occupancy or single variable

31. PCP Mixed Data Category-to-CategoryCategory-to-Continuous Continuous-to-Continuous Context

32. PCP Mixed Data Category-to-CategoryCategory-to-Continuous Continuous-to-Continuous Focus

33. 33Managed by UT-Battelle for the U.S. Department of Energy BugVisOldNew 1123311

34. 34Managed by UT-Battelle for the U.S. Department of Energy Parameter Sweep Issues Can use context to reveal missing portions of parameter sweep. Potential Error: ‘Attic’ duct location only connects to three roofing types.

35. 35Managed by UT-Battelle for the U.S. Department of Energy Outliers (Heating) Selection of heating outliers Find all are from Miami, have box building type, and heat pump

36. 36Managed by UT-Battelle for the U.S. Department of Energy Discussion

37. Any Questions?

38. 38Managed by UT-Battelle for the U.S. Department of Energy Image Fusion (based on cone-fusion of mammalian retina) Typical MRI and SPECT imagery Colorfuse Image

39. 39Managed by UT-Battelle for the U.S. Department of Energy Learning Associations Full Results DetailResults