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TRANSCRIPT
GREEN CHILLER PLANT
2
• Ease of operation
• Proactive prediction of system failure.
• Less efforts to maintain
Operation efficiency
Environment efficiency
• Use eco-friendly refrigerant
Energy Efficiency
• Superior system performance
• Less energy consumption versus similar
size building
WHAT IS HAPPENING?
3
High Usage
Variability
Vs Design
Low Usage
Variability
Vs Design
Low Energy
ConsumptionHigh Energy
Consumption
3) No proper controls system 4) Over-design of systems
1) Typical chillers plant efficiency profile 2) Oversized pump without VFD• HVAC system is a key contributor towards energy
consumption.
• Higher variability and higher energy consumption of thechiller plant is leading towards Higher Operational cost
WHERE ARE YOU?
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Start
Health Check
Propose Solution
& Set Goals
ImplementSustain &
Verify
We are committing absolute cost /
performance savings
Solutions offering
COMPLETE SYSTEM SOLUTIONS
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Visualization Optimization Benchmark Diagnostics
Plant system manager
+
Chiller plant health manager
Focus on
• Cost / Energy savings
• System performance
• Diagnostics
CHILLER PLANT HEALTH MANAGER
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Chiller plant health manager overlay on existing plant systemmanager that monitors plant performance and detects faultswithout affecting control sequences.
It is scalable and works with:WebCTRL® and i-Vu® platforms (UTC system) non-UTC equipment
Tracks frequency, duration and energy waste associated with eachdetected fault.
Diagnosis and Prioritization Provides recommendations for corrective action Frequency of energy waste calculations help prioritize the
most urgent issues
APPROACH
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•Real time analytics based on operational and energy use data
Energy Diagnostics
•Alarm generated when system operation deviates from optimal
Alarm Generation•Operational behavior
•Maintenance and repair
•Retrofit
Recommendation for Improvement
•Quantified energy saving opportunities
•Prioritization
Estimated Energy Waste •Tracking to ensure
improvement realized
Improvement Tracking
Dashboard Diagnostics Recommendations Prioritization
QUANTITATIVE ANALYSIS
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RL3W16: CHWST set-point is unreasonable.
RL1C12: CHWST set-point of each chiller are different.
RL3W10: Small temperature range between CHWST and CHWRT.
RL3W10: Small temperature range between CHWST and CHWRT, persistence time is about 15,045 minutes and potential energy saving opportunity is about 24,563kWh.
RL3W16: CHWST set-point is unreasonable, persistence time is about 26,469 and potential energy saving opportunity is about 20,072kWh.
RL2S6A: Small temperature range between CWST and CWRT, potential energy saving opportunity is about 4,058kWh
Alarm persistence time analysis Estimated potential energy saving analysis
SUCCESS CASE – SHOPPING MALL
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- One of the largest shopping mall and about 80,000 square meters.
- Centralized chiller plant power consumption is around 2.3M kWh.
- 3 sets of non-Carrier chillers and manual control
Shopping Mall in Shenzhen city, China
Baseline
En
erg
y c
on
su
mp
tio
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Actual
Solution approach
(340,000 kWh/year)
- Built energy management platform
- Deployed the chiller plant health manager for real time diagnostics and recommendations
Solutions
0
5,000
10,000
15,000
20,000
25,000
30,000
RL3W10 RL3W16 RL2S6A Other
Alarm and savings analysis for prioritization
AdvanTEC Solutions
Cost savings identified
- Chilled water valve not close 100%.
- Low refrigerant charge.
- Chilled water temperature reset
- Continuous chiller performance analytics
Opportunities Investment
3 x 30kW motor running 10 hrs/day/year without useful output
SUCCESS CASE - HOTEL
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Hotel in Hong Kong
Alarm and savings analysis for prioritization
AdvanTEC Solutions
Cost savings identified
Opportunities Investment
- Chiller plant power consumption is around 3.2M kWh.
- Carrier chillers and plant system manager (optimizer)
Deployed chiller plant health manager directly with additional hardware investment for real time diagnostics and recommendations
0
5,000
10,000
15,000
20,000
25,000
Rule6b Rule10 Rule9
Improved operational practice- Chilled water reset override
manual at night.
Identified additional energy saving potential- Identified opportunity to
improve cooling tower performance and water treatment
Baseline
Actual
Solution approach
(47,000 kWh, 6 months in
2017)
Solutions
1 x 25kW motor running , 6 months, 10 hrs/day without useful outputE
nerg
y c
on
su
mp
tio
n
SUCCESS CASE - HOTEL
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Hotel in India
Alarm and savings analysis for prioritization
AdvanTEC Solutions
Cost savings identified
Opportunities Investment
- Chiller plant energy consumption 3.2 million kWh
- 2 sets Carrier chillers, rest non – carrier chillers and carrier plant system manager
Deployed chiller plant health manager directly with additional hardware investment for real time diagnostics and recommendations
- Highest cooling tower approach temperature
- Detected manual override of chilled water pump control & pump run at max. freq always.
- Chiller valve always open, leads into water bypass.
0
2,000
4,000
6,000
rule6b rule08 rule13 rule18
Baseline
Actual
Solution approach
(13,700 kWh, 2 months in
2017)
Solutions
1 x 25kW motor running , 2 months, 10 hrs/day without useful outputE
nerg
y c
on
su
mp
tio
n
SUMMARY
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1. Many existing hotels are operating at low chiller plant system efficiency. There is a strong
business case for retrofitting buildings.
2. Check your chiller plant system efficiency, it is likely you have low hanging fruits to pick.
3. Chiller plant control optimization system comprehensively considers the performance of all
equipment, provides the optimized control strategies and derive significant energy and
operational savings.
4. Real time data analytics and diagnostics provides insights into system operational performance
and optimizes the control logic based on real time operation to achieve continuous
improvement.