2 C Optimal glass to wall area ratio 1350 Occupants O 25...
Transcript of 2 C Optimal glass to wall area ratio 1350 Occupants O 25...
NREL Research Support Facility
• 355,000 ft2 Office Building
• 1350 Occupants • 25 kBtu/ft2 + 6 (data center)+ 4 (180
additional people) = 35kBtu/ft2 • 50% energy savings (before PV) • $250/ft2
• LEED Platinum • Zero Energy based on Site, Source,
Carbon, & Utility Cost • 60’ Section for daylight & Natural Vent. 0 Energy
• Optimal glass to wall area ratio • Engineered glass shading • Light louvers & Dynamic Glazing • Transpired Solar Collectors • Thermal Storage • N/S Orientation • Radiant Hydronic Heat & Cool with
evaporative cooling • raised floor dedicated outdoor air
Challenge: Implementing New Energy Efficient Technologies
Ron Judkoff, Chief Engineer
CONTROLS
When Materials Selection was Easy!
New Problem: Too much technology to choose from
Evolutionary elimination of bad A&Es
A Lot of Things Need to Go Right to “Actually” Achieve High Efficiency
• Owner wants a new high efficiency building or deep retrofit
• Selected A&E knows how to design it • Constructors and installers are up to speed • Controls are properly set up with the correct
control strategy and tested in operation • Building operator understands system • Occupants are comfortable and don’t
sabotage system
180,000 ft2 Big Box, Cold Climate: Retrofit OptEplus Retrofit Package Optimization
90.1-2004 EUI:76 kbtu/ft2/y
Pre-Retrofit Base 54 kbtu/ft2/y
SG1 Analysis 35 kbtu/ft2/y
+30% +35%
On the Path to Commercial ZEBs Oberlin Lewis Center for Environmental Studies
-14,000 ft2 Classroom and Offices - 60 kW PV
- Daylighting - Natural Ventilation
- Ground Source Heat Pump
The RJ BLOOPERS Archive
0
200
400
600
800
1,000
1,200
1,400
1,600
Jan-
00F
eb-0
0M
ar-0
0A
pr-0
0M
ay-0
0Ju
n-00
Jul-0
0A
ug-0
0S
ep-0
0O
ct-0
0N
ov-0
0D
ec-0
0Ja
n-01
Feb
-01
Mar
-01
Apr
-01
May
-01
Jun-
01Ju
l-01
Aug
-01
Sep
-01
Oct
-01
Nov
-01
Dec
-01
Jan-
02F
eb-0
2M
ar-0
2A
pr-0
2M
ay-0
2Ju
n-02
Jul-0
2A
ug-0
2S
ep-0
2O
ct-0
2N
ov-0
2D
ec-0
2Ja
n-03
Feb
-03
Dai
ly A
vera
ge M
onth
ly C
onsu
mpt
ion
and
Pro
duct
ion
(kW
h/da
y)
Utility BillsEquipmentTotal LightsTotal CoolingTotal HeatingPV Production
Oberlin Before & After Fixes
Control fix to EB-1 HP swap-out
Measured: 54 kBtu/ft2/yr
30
ASHRAE 90.1-2001: 54 kBtu/ft2/yr
45
N. Facing Trombe Wall. Oops!
S. Facing Direct Gain Problem fix?
They flipped the plan. The idea was to have North Daylighting and a South Facing Thermal Storage Wall with a clerestory and a light shelf for some bi-directional daylight.
Even the same A&E firm that has just done two really well designed energy efficient buildings can lose its corporate memory. And by the time I realized what had happened, it was too late. Lesson: Never Sleep at the Wheel.
NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
11
Image Processing Occupancy Sensor (IPOS)
• IR Occupancy sensing not robust • Detection of motion not sufficient • Complaints may lead to no energy saved
Source (top): Rab Lighting; Photo: Luigi Gentile Polese, NREL
Cre
dit:
Mar
jorie
Sch
ott(N
REL
)
Correlate local measurements to occupant feedback
“Phidgets” collect temperature, humidity, and light readings through a USB port on occupant’s computer
Temperature Comfort
Humidity Comfort
Lighting Comfort
Glare Comfort
Noise Comfort
Air Movement
Comfort
Temp C°
Lighting Lux
Humidity %
Timestamp
Cold Dry Glare Noisy 23 354.0 28 05/23 17:13
18
IPOS (Image Processing Occupancy Sensor): Fusion of Image Sensing
Face 3
Images: Luigi Gentile Polese, N
REL
1 Motion
2 People
19
IPOS
Building system
sensors
Building system actuators
Building Energy Management System (EMS)
Robust Algorithms for Finely Grained: • Lighting Controls • Daylighting • Set Point
Management • Demand
Controlled Ventilation • Open Embedded OS
• OpenCV Computer Vision Library
• IPOS Algorithms • BACnet stack
Top and bottom left: Dennis Schroeder, 24420, 24418 N
REL; Control Panel: Warren Gretz, N
REL 12762
21
Functional Model Physical Sensor
In-memory Buffers
Space Illuminance Virtual Sensing Integration
Occupant Count & Location
Image Acquisition
Occupant Activity
Face Detection
People Detection
Motion Detection
• Human Occupancy • Confidence Levels • Number & Location of Occupants • Occupant Activity Levels
• Illuminance/Light Meter • Light Dimming Power Levels • Multiple Zones Outputs
IPOS Outputs over BACnet
22
Potential Energy Savings En
ergy
Sav
ings
%
60.3
87.8 85.9
41.2
80.3 75.6
15.5
54.1
43.3
0
10
20
30
40
50
60
70
80
90
100
Weekdays (6AM-6PM) Weekdays (6PM -9PM) Weekend (7AM-7PM)
Theoretical Best IPOS PIR (15min)
Measured Versus Modeled Monthly and Cumulative EUI
23
Cre
dit:
Cha
d Lo
bato
/NR
EL
0
4
8
12
16
20
24
28
32
36
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
Mod
el
RS
F
PV
October2010
November2010
December2010
January2011
February2011
March2011
April2011
May2011
June2011
July2011
August2011
September2011
Annu
al E
UI (
kBtu
/ft2 )
Mon
thly
EU
I (kB
tu/ft
2 )
PVData CenterMechanical SystemsPlug LoadsLightingHeatingCoolingModel Annual EUIRSF Annual EUI
The PV system is sized for an annual EUI of 35.1 kBtu/ft2.
Note: The annual EUI values are demand side values and do not include the PV generation. Note: Model predictions are based on TMY Weather Data
Innovation for Our Energy Future
Transpired Solar Collector, Conserval
Electrochromic Window Sage
Light- Louver
Solatube
NREL/Industry developed technologies Independently specified
by Haselden Team
BIPV Product Examples
Light, flexible PV roofing shingle for direct rooftop mounting
PV roofing shingles
Flexible roof-top PV shingles
Building-integrated PV metal roofing modules
PowerGuard® system
Neutral Cost Point: Greensburg BEopt Analysis
(2000 ft2, 2-story, 16% window to floor area ratio, unconditioned basement)
IECC 2003
BEopt Beta 0.8.04
Energy Star
Greensburg Target:
Neutral Cost
Cost Effective
Technology Gap
Technology Gap
Example: Greensburg Neutral Cost Package1
• R22 wall assembly (2x6: R-19 batts+ foam sheathing) • R50 ceiling assembly • R10 basement • .0001 SLA (2 ACH50) • Low e/low SHGC glazing, Argon Fill (0.28 U-value, 0.37 SHGC) • 80% CFL Lighting • SEER 18 AC • AFUE 90+ furnace • Gas tankless hot water, EF 0.8+ • Tight ducts (Mastic, 5% Leakage), in conditioned space • Energy Star Appliances • 1.5 kWDC PV System • BA QA (moisture control, …) Estimated cost increase relative to standard home2,3: +$10.00-$13.00/ft2
Notes: 1. Equivalent packages may be substituted, based on specific builder preferences 2. Does not include costs associated with builder/contractor training and changes in business practices. 3. Incremental costs will depend on current builder practice
Where we are today
Code
Case Study Bldgs
NREL RSF ZEB 25 kBtu/ft2/yr
(79 kWh/m2/yr)
(284 kWh/m2/yr)
(223 kWh/m2/yr)
My Zero Energy House In Kedougou, Senegal. 250km from Kayes, Mali
(hottest regularly inhabited place on
earth).
1972