ibbr_energy_conservation_measure_slides_only.pptx

Copyright © 2015 Optimum Energy LLC. All Rights Reserved. Proprietary & Confidential
Incorporating Energy Conservation Strategies
into University Research Lab Facilities
1
INSTITUTE FOR BIOSCIENCE AND BIOTECHNOLOGY RESEARCH

IBBR Process to Evaluate Potential Energy
Consumption Reduction Measures
 Identify the need (what do we want/need to do and why)
• Will the end result:
• Improve operational efficiency?
• Improve operational reliability?
• Reduce operational cost?
• Improve lab/workspace environment?
 Identify impact on labs and occupants (+/-)
• Workmen in the labs/workspaces
• Temperature/humidity conditions
• Effect of final result of the project
 Safety concerns
 Funding sources and incentives
 Payback on investment
2

HVAC
50–70%
Lighting
20%
Other
10%
Lab energy consumption

Strategy to Implement Projects
 Frame basic scope of work
 Identify all stake holders
 Engage stake holders in project planning and scheduling(flesh out final scope
of work)
 Identify funding mechanism(s)
 Procure services
 Communicate the plan to contractors/installers
 Monitor, Evaluate and Revise the plan as the situation requires.
 Provide what you promise, communicate what you can’t
 Follow up on and clear outstanding issues
 Obtain stake holder buy in on job completion (make adjustments if
necessary)
4

Discussion of Three Energy Projects at IBBR
5
Building 2 Chiller Optimization
Lab Ventilation Savings
Lab and Office lighting retrofit

© Optimum Energy
Optimum Energy
Scalable, Data-Driven Optimization for Cooling and Heating Systems
2015
IBBR Building 2 Chiller Plant Optimization

OptiCx Plant Overview
7
• Total Capacity:
900 Tons
• 2 Chillers
• 2 Towers
• 2 Primary
Pumps
• 2 Secondary
Pumps
• 2 Condenser
Pumps

8
Operational Modules
Real-time Dynamic Commissioning
OptiCx Platform
Pumps
&Valves
Chillers Tower
Fans
VFD’
s
VFD’s
OptimumLOOP TM
OptiCx Platform: Chilled Water System Optimization
• Up to 50% efficiency improvement
• Delivers superior occupant comfort while
optimizing system performance
• Substantially reduces CO2, water, and energy
• Fights performance drift
OptimumLOOP
• Configurable optimization software for
centrifugal chilled water plants
• Patented relational control algorithms
• Automatically and continuously optimizes plant
performance in real time
• Dynamically adapts to yield the lowest energy
draw while meeting availability requirements
Building Automation System

Estimated IBBR Chiller Plant Efficiency - 2012
Annual average kW per ton
Notes:
1. Input includes: chillers, tower fans condenser pumps and chilled water
2. ESA is the Engineering Site Analysis that took place prior to optimization
9
Estimated Efficiency from the ESA of the Current Plant = 0.882 kW/ton
Estimated Efficiency from the ESA of the Current Plant Optimized = 0.647 kW/ton
.882
Current
.647
Projected
27% Efficiency Improvement

2015 Results: Optimized vs Baseline kW/Ton
10

Environmental Impact
(based on 181,000kwh/yr saved)
11
Greenhouse gas
emissions from
CO2 emissions from
Greenhouse gas
emissions from

12
LAB VENTILATION SAVINGS
SIEMENS

Lab Room 101 Lab Room 102 Classroom 103
Supply Air Duct
General Exhaust Duct
IMS
Advisor
data
center
Sensor Suite
BMS

Impact of Dynamic Control on Dilution Rates
• 1.5 L spill of acetone in 200 sq ft lab room, 1 sq. m spill
• After vaporized, dynamic system hits TLV in 20 vs. 60 min
• After 2 hours dynamic control has dropped level to 2.6 PPM
– After 2 hours, 6 ACH system is at 302 PPM or 116 times higher!
0.0
1000.0
2000.0
3000.0
4000.0
5000.0
6000.0
0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92
PPM
Concentration
Time in Minutes
Spill Dilution Conc. vs Time with 2 ACH Min & 15 ACH Purge
6 ACH Baseline Threshold in PPM Dynamic: 5 Min. Dynamic: 10 Min. Dynamic: 15 Min.
Dynamic control approach is always less than 6 ACH baseline
15 min. detection
time still better than
6 ACH baseline!
Lower initial
ACH helps!

Optinet System Overview – Example DCV Event
CO2 spike detected in
room 2229 on 5/30/15
Optinet System began commanding
ACH increase at 300ppm CO2
differential to supply air. Peak
level detected drove up ACH by
approximately 7
Correlating flow increase
as commanded by the
Optinet System

16
Greenhouse gas
emissions from
CO2 emissions from
Greenhouse gas
emissions from

Lighting Retrofit
17
INSTITUTE FOR BIOSCIENCE AND BIOTECHNOLOGY RESEARCH

Lighting Retrofit Objective
18
The objective of the this project is to
optimize fixture spacing in lab spaces to
provide an average illuminance on the
desktop/bench top of 50 foot candles and
10-20 foot candles on non-working
surfaces. In so doing we intended to
reduce total lighting consumption by 50%.

Lighting Retrofit Overview
19
IBBR Building 1
Number
of
Fixtures
Existing
kW per
Space
Annual
KWh per
Space
Number
of
Fixtures/
Lamps/
Doors
kW per
Space
Peak kW
Savings
Annual
kWh
Savings
Annual
Natural
Gas Use
per
Space
(therms)
Total
Incentive
Amount
1,086 58.241 584,587 590 27.153 31.910 319,917 -2,061 $16,200
IBBR Building 2
Number
of
Fixtures
Existing
kW per
Space
Annual
KWh per
Space
Number
of
Fixtures
to
Replace
kW per
Space
Peak kW
Savings
Annual
kWh
Savings
Annual
Natural
Gas Use
per
Space
(therms)
Total
Incentive
Amount
2,037 94.988 906,086 1,279 47.677 52.314 510,567 -3,319 $35,125

20
Greenhouse gas
emissions from
CO2 emissions from
Greenhouse gas
emissions from

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