Transcript 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.

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
[email protected]; (865)241-8783
for
Energy Informatics 2012
Atlanta, GA
October 6, 2012
Science to transform today's buildings into
smart, responsive, and efficient structures
Experimental S&T
Capabilities
Modeling and
Visualization R&D
Better Buildings
via Novel Tools
and Technologies
Building Science
Data/Knowledge
Materials Science
Web-Based Tools
Data/Knowledge
Computational Science
Automated Model Calibration
Next Generation
Commercial Buildings
Neutron Science
Industry CRADAs
Data/Knowledge
Innovative Products
Sensors, Controls, Grid
Next Generation
Residential Buildings
Data/Knowledge
2
Managed by UT-Battelle
for the U.S. Department of Energy
4th Paradigm
3
Managed by UT-Battelle
for the U.S. Department of Energy
Presentation Summary
• Energy Context
• Roof Savings Calculator
• Visual Analytics Techniques
–
–
–
–
–
–
4
Cityscape
Maps
High-def line rendering
Interactive bar charts
Parallel Coordinate Plots (PCP)
Linked-view interaction
Managed by UT-Battelle
for the U.S. Department of Energy
Presentation Summary
• Energy Context
• Roof Savings Calculator
• Visual Analytics Techniques
–
–
–
–
–
–
5
Cityscape
Maps
High-def line rendering
Interactive bar charts
Parallel Coordinate Plots (PCP)
Linked-view interaction
Managed 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
6
Managed by UT-Battelle
for the U.S. 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.
Energy is the Defining Challenge of Our Time
• Buildings in U.S.
– 40% of primary energy/carbon,
73% of electricity, 34% of gas
Global energy consumption
will increase 50% by 2030
• 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
“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…”
7
Managed by UT-Battelle
December 2, 2011, while announcing Better Buildings Challenge
forPresident
the U.S. DepartmentObama,
of Energy
Presentation Summary
• Energy Context
• Roof Savings Calculator
• Visual Analytics Techniques
–
–
–
–
–
–
8
Cityscape
Maps
High-def line rendering
Interactive bar charts
Parallel Coordinate Plots (PCP)
Linked-view interaction
Managed by UT-Battelle
for the U.S. Department of Energy
9.00
Figure 2. Residential
energy loads attributed to
envelope and windows
8.00
7.00
Quads
6.00
5.00
4.00
Source: Building Energy Data Book, U.S.
DOE, Prepared by D&R International, Ltd.,
September 2008.
3.00
2.00
1.00
Total
Internal
Gains
Windows
(solar gain)
Windows
(conduction)
Inf iltration
Heating
Foundation
Cooling
Walls
Roof
-
5.00
9
Managed by UT-Battelle
for the U.S. Department of Energy
1.00
Total
Internal
Gains
Windows
(solar gain)
Windows
(conduction)
Heating
Ventilation
Cooling
Inf iltration
Foundation
Source: Building Energy Data Book, U.S. DOE,
Prepared by D&R International, Ltd., September
2008.
2.00
Walls (2)
Figure 3. Commercial energy
loads attributed to envelope
and windows
3.00
Roof
Quads
4.00
Attic Thermodynamics
10
Managed by UT-Battelle
for the U.S. Department of Energy
Roof Savings Calculator
DOE-2.1E+AtticSim
• Building Details
• HVAC efficiency and
utility prices
• Roof and Attic
Information
(base vs. comp)
• Reports energy and
cost savings
11
Managed by UT-Battelle
for the U.S. Department of Energy
11
AtticSim
DOE-2
12
Managed by UT-Battelle
for the U.S. Department of Energy
RoofCalc.com Impact
24,100 web simulations, 156 users/feedback, 3+ million runs
Average: 79 visitors/day
13
Managed by UT-Battelle
for the U.S. Department of Energy
13
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
14
Managed by UT-Battelle
for the U.S. Department of Energy
Roof Savings Calculator
15
(v0.9)
Managed by UT-Battelle
for the U.S. Department of Energy
15
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
16
Managed by UT-Battelle
for the U.S. Department of Energy
Presentation Summary
• Energy Context
• Roof Savings Calculator
• Visual Analytics Techniques
–
–
–
–
–
–
17
Cityscape
Maps
High-def line rendering
Interactive bar charts
Parallel Coordinate Plots (PCP)
Linked-view interaction
Managed by UT-Battelle
for the U.S. Department of Energy
Prior Projects
Visual Analytics (PCP)
RoofCalc.com
Visualization of 3.5 million RSC simulations
http://vis.cs.ucdavis.edu/~jonesc/PCP/
Visual Analytics (Computing)
Nautilus Supercomputer
Web Server
AI Models
PowerEdge R510
Sensor
Data
18
Building
Energy
Managed by UT-Battelle
for the U.S. Department of Energy
18
Visual Analytics (demo)
• Visualization techniques (for Energy Simulation)
– City-Scape, Artificial Terrain
19
Managed by UT-Battelle
for the U.S. Department of Energy
19
Climate Zone Map
• Climate zones (1-8) shown on map.
20
Managed by UT-Battelle
for the U.S. Department of Energy
High-Density Time Plots
• Each line is the energy usage for a single simulation
• Apply logarithmic coloring scaling to emphasis high traffic
regions
• Render outlier lines separately
21
Managed by UT-Battelle
for the U.S. Department of Energy
Context
Focus
Category View
• Bars for each category show occupancy levels
• Grouped by dimension; highlighting & focus rendering
22
Managed by UT-Battelle
for the U.S. Department of Energy
Categorical
Mouse Hover Highlight
Categorical Focus
Parallel Coordinates
• One parallel axis per data dimension;
One line per data item crosses every axis
Scatterplot
Coordinates
vs.
Max
Max
X
Y
Min
23
Parallel
X
Managed by UT-Battelle
for the U.S. Department of Energy
Max
Min
Y
PCP - car data set
24
Managed by UT-Battelle
for the U.S. Department of Energy
PCP Bin Rendering
• Transfer Function Coloring:
– Occupancy or Leading Axis
25
Managed by UT-Battelle
for the U.S. Department of Energy
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.
2D Histogram
vs.
Max
Parallel Bins
Max
Y
Min
X
X
Max
Min
Y
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
Context
Category-to-Category
Category-to-Continuous
Continuous-to-Continuous
PCP Mixed Data
Focus
Category-to-Category
Category-to-Continuous
Continuous-to-Continuous
Bug Vis Old New
11 23 3 11
33
Managed 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.
34
Managed 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
35
Managed by UT-Battelle
for the U.S. Department of Energy
Discussion
36
Managed by UT-Battelle
for the U.S. Department of Energy
Any Questions?
Image Fusion
(based on cone-fusion of mammalian retina)
38
Typical MRI and SPECT
imagery
Managed by UT-Battelle
for the U.S. Department of Energy
Colorfuse Image
Learning Associations
Full Results
39
Managed by UT-Battelle
for the U.S. Department of Energy
DetailResults