doe’s roof savings calculator (rsc) -...
TRANSCRIPT
ORNL is managed by UT-Battelle
for the US Department of Energy
DOE’s Roof Savings
Calculator (RSC)
http://rsc.ornl.gov
(www.roofcalc.com)
in collaboration with EPA, LBNL, WBT, CEC
EPDM Roofing Association Apr. 29, 2015
Joshua New, Ph.D.
865-241-8783
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A brief history of energy and life quality
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A brief history of energy and life quality
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Sustainability is the defining challenge
• Buildings in U.S.
– 41% 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
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TN 2012 Electric Bill - $1,533
Energy Consumption and Production Commercial Site Energy
Consumption by End Use
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1.00
2.00
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Ro
of
Walls
Fo
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atio
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Infi
ltra
tio
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Win
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ws
(co
nd
uctio
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Win
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ws
(so
lar g
ain
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Inte
rnal
Gain
s
To
tal
Qu
ad
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Cooling Heating
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1.00
2.00
3.00
4.00
5.00
Ro
of
Walls
(2)
Fo
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Infi
ltra
tio
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Ventila
tio
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Win
do
ws
(co
nd
uctio
n)
Win
do
ws
(so
lar g
ain
)
Inte
rnal
Gain
s
To
tal
Qu
ad
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Cooling Heating
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.
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Presentation summary
• Facilities and Modeling
• Building physics
• Roof Savings Calculator
• Validation
• Visual Analytics
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Presentation summary
• Facilities and Modeling
• Building physics
• Validation
• Roof Savings Calculator
• Visual Analytics
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Presentation summary
• Facilities and Modeling
• Building physics
• Validation
• Roof Savings Calculator
• Visual Analytics
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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 & GIS
Better Buildings via Novel Tools
and Technologies
Data/Knowledge
Data/Knowledge
Data/Knowledge
Applied R&D
Innovative Products
Next Generation
Commercial Buildings
Next Generation
Residential Buildings
Industry CRADAs
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Source of Input Data
• Residential (~15 min. data)
– Yarnell (37 sensors)
– Wolf Creek (4x 356 sensors/building)
– Campbell Creek (3x 144 sensors/bldg.)
– Dryer
– Refrigerator
– Dishwasher
– Heat pump air flow
– Shower water flow
– Etc.
– Temperatures
– Plugs
– Lights
– Range
– Washer
– Radiated heat
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Permanent Research Platforms MAXLAB Building
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FRP2 Sensors
Refrigerant Mass Flow Natural Gas Flow Electrical Power
Refrigerant Temp and Press Airflow Air Temp And RH
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RTU/VAV
Measured performance of multiple HVACs
(same building, occupancy, weather)
VRF
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Energy Modeling for Generalizing Results
Real weather
file from FRP2
weather station
Emulated
Occupancy 30 sec
Data Measurements
(1,071 total channels)
Calibrated Building
Energy Models
Software-controlled
rotation among
HVAC systems Centralized data, alarms,
quality assurance,
dashboard, analytics
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Presentation summary
• Facilities and Modeling
• Building physics
• Validation
• Roof Savings Calculator
• Visual Analytics
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Facing our energy challenges
“We're using 19th and 20th century technologies to battle 21st century problems like climate change and energy security.”
Remarks of President Barack Obama,
Signing of the American Recovery and
Reinvestment Act, February 17, 2009
“Make it white,” Former Secretary Steven Chu,
Daily Show, July 21, 2009
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Urban Heat Island Effect
and Albedo Engineering
Image from Lawrence Berkeley National Laboratory
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Cool roof context
Goal to address climate change, manage Earth’s heat budget (amount of Earth’s heat from the sun minus amount reflected into space)
2 pillars of geo-engineering:
• Albedo engineering for solar radiation management – increasing Earth’s reflectance Examples: cloud whitening, stratoshield/stratospheric doping (SO2, Pinatubo option), reflective aerosols in jet fuel
• Greenhouse gas remediation – primarily carbon sequestration (capture and storage) Examples: iron fertilization, artificial trees, biochar charcoal, ocean dissolution
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Terms
• Thermodynamics
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Terms
• Overview of attic physics
Camouflage invisible to night vision
Near Infrared Film Conventional Film
Terms
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Multifunctional steep slope roofing
system research success
• Multifunctional roof reduces peak energy demand by 90% (PCM, ASV, RB)
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Presentation summary
• Facilities and Modeling
• Building physics
• Validation
• Roof Savings Calculator
• Visual Analytics
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Attic Systems – Charleston SC NET Facility
2 3 4 5 6 1 7
Each bay width ~ 11 ft
Weather
station Triflex Non
breathable
Storm
Guard 15 lb
Sealed Non-Breathable – Cool color ASV RB 1/300 1/150
Deck
Armor 15 lb 15 lb
Fascia
Cool
shingles
AtticSim (Attic Simulation) Model
Roof & Attic Energy Balance
ASTM C 1340 Standard For Estimating Heat Gain or Loss Through Ceilings Under Attics CEC PIER: Demonstrations
Ft Irwin, US Army
Miller et al. (2007), “Natural Convection Heat Transfer in Roofs with
Above-Sheathing Ventilation.” in Thermal Performance of the Exterior
Envelopes of Buildings, X, proceedings of ASHRAE THERM X,
Clearwater, FL., Dec. 2007.
Petrie, T. W., K. E. Wilkes. (1998). “Effect of Radiant Barriers and Attic
Ventilation on Residential Attics and Attic Duct Systems: New Tools for
Measuring and Modeling,” ASHRAE Trans., vol. 104, 1175-1192.
AtticSim Benchmark of Ft Irwin House
(South-facing Roof Deck)
Cool Color Tile Direct-to-deck
Miller, W. 2010. Field experiments to evaluate cool-colored roofing.
Task 2.5.7 CEC milestone report.
AtticSim and DOE-2.1E/AtticSim Benchmark of
Ft Irwin House “Attic Air Temperature”
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Presentation summary
• Facilities and Modeling
• Building physics
• Validation
• Roof Savings Calculator
• Visual Analytics
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Computer tools for simulating cool roofs
INDUSTRY
COLLABORATIVE
R&D
Marc LaFrance
DOE BT
R. Levinson,
H. Gilbert,
H. Akbari
Chris Scruton
CEC
A. Desjarlais,
W. Miller,
J. New
WBT
Joe Huang,
Ender Erdem
Roof Savings Calculator (RSC)
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Roof Savings Calculator
• Replaces:
– EPA Roof Comparison Calc
– DOE Cool Roof Calculator
• Minimal questions (<20)
– Only location is required
– Building America defaults
– Help links for unknown information
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RSC = AtticSim + DOE-2.1E
AtticSim - ASTM C 1340 Standard For Estimating Heat Gain or Loss Through Ceilings Under Attics
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Office “Big Box” Retail Warehouse
Torcellini et al. 2008, “DOE Commercial Building Benchmark Models”,
NREL/CP-550-43291, National Renewable Energy Laboratory, Golden CO.
Commercial building types
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AtticSim
DOE-2
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RoofCalc.com impact
Average: ~81 visitors/day
100,000+ visitors, 200+ user feedback,
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Nationwide results
Description Reflect
ance Emis
sivity SRI Houston
$ saved …13
BUR No Coating 10 90 6 42
Mineral Mod Bit 25 88 25 103
Single Ply 32 90 35 230
Mineral Mod Bit 33 92 35 197
Metal 35 82 35 60
Aluminum Coating 43 58 35 279
Mineral Mod Bit 45 79 55 291
Coating over BUR 49 83 55 433
Metal 49 83 55 208
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Cost savings for offices - 14 cities,
local utility prices, 22 roof types
Heating-dominated
Northern climates
Cooling-dominated
Southern climates
Mellot, Joseph W., New, Joshua R., and Sanyal, Jibonananda. (2013). "Preliminary Analysis of Energy Consumption for
Cool Roofing Measures." In RCI Interface Technical Journal, volume 31, issue 9, pp. 25-36, October, 2013.
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Summer operation of HVAC duct in
ASHRAE climate zone 3
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Enhanced RSC Site
Input Parameter GUI Result Output
Database
User Hyperion RSC Engine Inputs
Savings
Simulate
Savings
Exists? R
esu
lts
Simulation
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Quote
“We speak piously of … making small
studies that will add another brick to the
temple of science. Most such bricks just
lie around the brickyard.” –J.R. Platt, Science 1964, 146:347-53
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RSC Service Example (Python)
client = suds.client.Client('URL/TO/WEB/SERVICE/rsc.wsdl')
print(client)
sm = client.factory.create('schema:soapmodel')
load_soap_model_from_xml('../examplemodel.xml', sm)
sr = client.service.simulate(sm)
print(sr)
sm = client.factory.create('schema:soapmodel')
load_soap_model_from_xml('../examplemodel.xml', sm)
print(sm)
contents = client.service.test(sm)
with open('pytest.zip', 'wb') as outfile:
outfile.write(base64.b64decode(contents))
…download example building and batch script from rsc.ornl.gov/web-service.shtml
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Update 1 line of code to change servers
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Millions of simulations visualized for DOE’s Roof Savings
Calculator and deployment of roof and attic technologies
through leading industry partners
Leveraging HPC resources to facilitate deployment of building energy efficiency technologies
DOE: Office of Science CEC & DOE EERE: BTO Industry & Building Owners
Roof Savings Calculator (RSC) web
site/service developed and validated
[estimates energy and cost savings
from roof and attic technologies]
CentiMark, the largest nation-wide
roofing contractor (installs 2500
roofs/mo), is integrating RSC into
their proposal generating system
(20+ companies now interested)
AtticSim
DOE-2
Engine (AtticSim/DOE-2) debugged
using HPC Science assets enabling
visual analytics on 3x(10)6 simulations
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Personal story behind one of DOE’s
RSC images
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Presentation summary
• Facilities and Modeling
• Building physics
• Validation
• Roof Savings Calculator
• Visual Analytics
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PCP - car data set
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PCP bin rendering (data)
• Transfer function coloring:
– Occupancy or leading axis
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The power of “and” – linked views (info)
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Large Data
Visualization
Knowledge
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Outliers (wisdom)
• Selection of heating outliers
• Find all have box building type and in Miami
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