Visual Analytics forRoof Savings CalculatorEnsembles

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 Integrationnewjr@ornl.gov; (865)241-8783

for

Energy Informatics 2012Atlanta, GAOctober 6, 2012

2 Managed by UT-Battellefor 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

Data/Knowledge

Data/Knowledge

Innovative Products

Next Generation Commercial Buildings

Next Generation Residential Buildings

Industry CRADAs

3 Managed by UT-Battellefor the U.S. Department of Energy

4th Paradigm

3

4 Managed by UT-Battellefor 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 Managed by UT-Battellefor 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 Managed by UT-Battellefor 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 costsSource: US Department of Energy

Figure 1. U.S. Primary energy consumption, 2006Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008.

7 Managed by UT-Battellefor 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 consumptionwill 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 Managed by UT-Battellefor 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 Managed by UT-Battellefor the U.S. Department of Energy

-

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

Ro

of

Wal

ls

Fo

und

atio

n

Infi

ltrat

ion

Win

do

ws

(co

nduc

tion)

Win

do

ws

(so

lar g

ain)

Inte

rnal

G

ains

Tota

l

Qu

ads

Cooling Heating

-

1.00

2.00

3.00

4.00

5.00

Ro

of

Wal

ls (2

)

Fo

und

atio

n

Infi

ltrat

ion

Ven

tilat

ion

Win

do

ws

(co

nduc

tion)

Win

do

ws

(so

lar g

ain)

Inte

rnal

G

ains

Tota

l

Qu

ads

Cooling Heating

Figure 2. Residential energy loads attributed to envelope and windowsSource: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008.

Figure 3. Commercial energy loads attributed to envelope and windowsSource: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September 2008.

10 Managed by UT-Battellefor the U.S. Department of Energy

Attic Thermodynamics

11 Managed by UT-Battellefor 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

CoolColors.lbl.gov

RoofCalc.com

12 Managed by UT-Battellefor the U.S. Department of Energy

$/yr

AtticSim

DOE-2

13 Managed by UT-Battellefor 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 Managed by UT-Battellefor 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 Managed by UT-Battellefor the U.S. Department of Energy

15

Roof Savings Calculator (v0.9)

16 Managed by UT-Battellefor 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 ft2 annually

• FY13 Work• Software comparison (E+, DOE-2,

Micropas)• Empirical validation (ORNL, TAMU)• RSC Update• Deployment

17 Managed by UT-Battellefor 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 Managed by UT-Battellefor the U.S. Department of Energy

18

Prior Projects

Web ServerPowerEdge 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 Managed by UT-Battellefor the U.S. Department of Energy

19

Visual Analytics (demo)

• Visualization techniques (for Energy Simulation)– City-Scape, Artificial Terrain

DEMO

20 Managed by UT-Battellefor the U.S. Department of Energy

Climate Zone Map

• Climate zones (1-8) shown on map.

21 Managed by UT-Battellefor the U.S. Department of Energy

High-Density Time Plots

Context Focus

• Each line is the energy usage for a single simulation• Apply logarithmic coloring scaling to emphasis high traffic

regions• Render outlier lines separately

22 Managed by UT-Battellefor 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 Managed by UT-Battellefor the U.S. Department of Energy

Parallel Coordinates

• One parallel axis per data dimension;One line per data item crosses every axis

Min

Max

MaxX

Y

Min

Max

XY

Scatterplot vs. Parallel Coordinates

24 Managed by UT-Battellefor the U.S. Department of Energy

PCP - car data set

24

25 Managed by UT-Battellefor the U.S. Department of Energy

PCP Bin Rendering

• Transfer Function Coloring:– Occupancy or Leading Axis

PCP Line Rendering

• Can use coloring to denote amount of lines.• Example:

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

Parallel Coordinates• Aggregate lines into 2D histogram bins

between every pair of axes.

Min

Max

MaxX

Y

Min

Max

X Y

2D Histogram vs. Parallel Bins

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

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

PCP Mixed Data

Category-to-Category Category-to-Continuous Continuous-to-Continuous

Context

PCP Mixed Data

Category-to-Category Category-to-Continuous Continuous-to-Continuous

Focus

33 Managed by UT-Battellefor the U.S. Department of Energy

Bug Vis Old New11 23 3 11

34 Managed by UT-Battellefor 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 Managed by UT-Battellefor 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 Managed by UT-Battellefor the U.S. Department of Energy

Discussion

Any Questions?

38 Managed by UT-Battellefor the U.S. Department of Energy

Image Fusion(based on cone-fusion of mammalian retina)

Typical MRI and SPECT imagery

Colorfuse Image

39 Managed by UT-Battellefor the U.S. Department of Energy

Learning Associations

Full Results DetailResults

DEMO