case studies on chiller plant system energy-saving … · 2015-05-24 · phenomena, resulting in...
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Case Studies on Chiller Plant System Energy-saving Control Strategies
Analysis – Shanghai IFC
W.K. Kwok
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Partners in the Research Works
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Energy Pareto
Source : WBCSD, Report 2009. U.S. DOE, Energy Data Book, Oct. 2009
Global
Buildings 40%
Industry 32%
Transportation 28%
Buildings (USA)
HVAC 40%
Lightings 16% Water
heating 10%
Electronics 9%
Other 25%
Chiller Plant
Chillers 70%
Pumps 24%
CT & etc 6%
Source : Carrier’s one job reference
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First cost
Life Cycle Cost =
• Power consumption • Water consumption • Equipment maintenance (etc.)
• Initial investment • Residual Values • Utility Rebate •Taxes • Non-monetary costs & benefits
+
Operating Cost
Part Load operation is 95%~99% of whole system
operating hours
Operating Cost Saving
Gross Margin Increasing
Importance of Part Load Operation
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0 2 4 6 8
Operating Cost Increasing
5
0
5
10
Year
Down
Up
Standard Maintenance + System Solution Retrofit
0 2 4 6 8
Eff.
Dec
reas
e %
0
10
0
5
10
15
Without Maintenance
With the System Solution, the system efficiency could be maintained and even increased. The energy consumption could be saved for life cycle.
Eff.
Dec
reas
e %
Down
Standard Maintenance
0 2 4 6 8
Down Down Down Ef
f. D
ecre
ase
%
Year Year
Maintenance & Retrofit
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Location Map - Shanghai ifc
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Shanghai ifc - Section Plan Total Area 399,400 m2
Total C/P space : 1,900 nos
OFFICE 30 storeys 82,600 m2
RITZ CARLTON HOTEL
15 storeys 47,400 m2
23 storeys 47,900 m2
RETAIL 6 storeys 98,500 m2
HSBC Building
(One ifc) Two ifc Services apartments Podium & Basement
OFFICE 45 storeys 123,000 m2
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International Retail Mall
• Most prestigious shopping destination in Shanghai
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Atrium
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Apple
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MTR Tunnel
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Grade A Office • over 2.2 million sq.ft office area
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Luxury Hotels Ritz-Carlton Hotel
•totaling 300 luxury guestrooms
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Equipment List of Chiller Plant
Equipment Type No.
Chillers
1000 Tons (centrifugal) 2850 Tons
(centrifugal)
3+6
Primary chilled water pumps 37 KW, 132 KW 3+7
Secondary chilled water pumps
132 KW, 220 KW (VFD) 7+4
Condensing water pumps 110 KW, 315 KW 3+7
Cooling tower fans 55 KW 14 * 3
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Plant Configuration
Cooling towers
Secondary chilled water pumps
Primary chilled water pumps
Chillers Condensing water pumps
低座酒店
裙楼及地库
南塔楼低座
南塔楼中 座及高座
北塔楼低座
北塔楼中 座及高座
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Health Analysis of Chiller Plant System before System Optimizing Retrofit
Warning Board of Fault Equipments
Note: fault equipments marked in yellow,
No Existing Problems (before retrofit)
1 The chillers load-unload control and the starting sequence are irrational, resulting in system operating with low efficiency
2 Fixed chilled water temperature set points, no considering changes of weather and load requirement
3 Irrational start and stop of cooling tower and fan control, cooling tower did not fully functioning, resulting in a waste of energy
4 Primary and secondary pump exist the reverse flow phenomena, resulting in inefficient system performance
5 Secondary chilled water pumps running at fixed speed, resulting in high power consumption even at low load conditions
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No suitable energy consumption metrology device, resulting in the operators do not know the energy consumption of each equipments and which equipment has the high-energy consumption
Summary of System Operating Status Analysis
Breakdown of Plant Power Consumption
Note: power meter data of a typical summer day.
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No Optimization Control Strategies (Phase I)
1 Cooling Tower Optimization Control
2 Chilled Water Supply Temperature Reset
3 Chiller Start/Stop Sequence control
4 Secondary Pump Start/Stop Control
5 Anti-reverse flow control for primary-secondary system
6 Standard Chiller Monitoring Interface
7 Energy Consumption Monitoring System
8 Sensors Failure Diagnose and Calibration Reminder
9 Data Report, operating logging
Optimization Strategies Recommendations
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Chiller + Cooling Tower Optimization
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Chiller + Cooling Tower Optimization
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Chiller + Cooling Tower Optimization
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Set point at 7C
Set point according to 1.Outdoor air dew point temp. 2.Building load 3.Dehumidification requirement
Conventional Mode
100% 107%
10C 7C
Less chiller power consumption
Chilled water temp.
If we increase Chilled Water Supply Temperature at partial Load, Chiller performance can be improved.
Chilled Water Supply Temperature Reset
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Energy-saving Mode
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Chiller Control Challenges
Dynamic Changes of Building Loads
Chiller Performance at Different Conditions Performance of Different Chillers
Variable Utility Rates
Characteristics of Building Heat Response
Conventional Control Methods
Constant settings Schedules Sensor feedbacks Depends on people (manual control) No cost function No degradation Non-optimized Non-predictive …… 24
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Chiller Plant Controls
Time
Weather, utility rates, historical trends, incentives, …
Save money?
3D optimization
Other Targets: Operation efficiency
Energy efficiency
Comfort
Safety
……
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Control System Structure
Terminals
Building Automation System (BAS)
Data Checking
Pumps Chillers
Real-time data (up), commands (down)
Cooling Towers Boilers, etc
Advanced Chiller Plant Control System
Real-time data (up), commands (down)
User Interface (UI)
Interfaces
Database
Model Libraries
Optimization Engine
Fault / Energy Diagnostics
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Enhancement of Secondary Pump Control
Reset the differential pressure setting of the most critical location with reference to the differential chilled water temperature
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Anti-reverse Flow Control
Primary-Secondary Water System
500 tons
0 tons
0 tons
1200gpm
0 gpm
0 gpm
44 F 44.9 F
54 F
1200gpm
120gpm
1320gpm
1320gpm
0%
100%
0%
54 F
Chillers
Primary Pumps
Secondary Pumps
De-
coup
ler
i
sp
dtTTTT
211 '
Phenomena: reverse flow in de-coupler when secondary side demand is greater than chiller load.
Cooling load
Chiller capacity
Reverse flow
3° C 2° C
Results: mixed chiller water supply temperature is raised higher than chiller supply temperature, resulting in energy waste.
Coordination control of flow and temperature is a key problem to be resolved.
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Performance Visualization & Energy Management
Chiller standard monitoring interface
Energy consumption monitoring system
Power meter monitoring interface
Optimization suggestion interface
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Optimization suggestion interface
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Sensors Failure Diagnose and Calibration Reminder
Functions: Diagnose all main sensors running status; Remind operators to calibration sensors according to each sensors calibration time.
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Data Report and Operation Logging
Functions: Record history data which can be used for system energy analysis and chart plotting (Offline Data Analysis Tool); Record operators’ actions which can be used for cause checking and performance feedback.
Temp/Flow
Building Cooling Load -
Tons
kW / RT - Chiller 1, 2, 3 & 4
0.00
0.50
1.00
1.50
2.00
2.50
11:43
18:25 1:0
7
7:49
14:31
21:13 3:5
5
10:37
17:19 0:0
1
6:43
13:25
20:07 2:4
9
9:32
16:14
22:56 5:3
8
12:20
19:02 1:4
4
8:26
15:08
21:50 4:3
2
11:14
17:56 0:3
8
7:20
14:02
20:44 3:2
6
10:08
16:50
23:32 6:1
4
12:56
Time
kW / R
TkW/RT - C1 kW/RT - C2 kW/RT - C3 kW/RT - C4
Chiller Efficiency –ikW/ton
Electrical Consumption -
kW
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Chiller Plant Efficiency Definition
Input Electricity
supply (kW)
Output Cooling in
refrigeration ton (ton)
Chiller Plant Efficiency = Input electricity (ikW)
Output Cooling (ton) = ikW/ton
Example : = 1.20 ikW/ton 120 (ikW) 100 (ton)
Building Cooling Demands
Our objective is to reduce
this Chiller Plant System
Chillers Pumps Cooling towers
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Chiller Plant Efficiency Benchmarks (Source: ASHRAE Journal)
0.5 (7.0)
0.6 (5.9)
0.7 (5.0)
0.8 (4.4)
0.9 (3.9)
1.0 (3.5)
1.1 (3.2)
1.2 (2.9)
NEEDS IMPROVEMENTFAIRGOODEXCELLENT
AVERAGE ANNUAL CHILLER PLANT EFFICIENCY IN KW/TON (C.O.P.)(Input energy includes chillers, condenser pumps, tower fans and chilled water pumping)
New Technology All-Variable Speed
Chiller Plants
High-efficiency Optimized
Chiller Plants
Conventional Code Based Chiller Plants
Older Chiller Plants
Chiller Plants with Correctable Design or Operational Problems
Based on electrically driven centrifugal chiller plants in comfort conditioning applications with
42F (5.6C) nominal chilled water supply temperature and open cooling towers sized for 85F
(29.4C) maximum entering condenser water temperature and 20% excess capacity.
Local Climate adjustment for North American climates is +/- 0.05 kW/ton
kW/ton C.O.P.
Thomas Hartman, All-variable speed centrifugal chiller plants [J], ASHRAE Journal, 2001, 43(9):43-53.
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Building Cooling Load Prediction
• Traditional modeling approach using predefined profiles of weather, occupancy, operating schedules, etc. to predict the building cooling load
• They are unable to respond directly to the current weather and building conditions
• Real time building cooling load is impossible by these approaches.
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Real time Cooling Load Prediction
• Artificial neural network (ANN) model learns the nonlinear correlation between the weather and building conditions and the building cooling load through the historical data of the building systems.
• The prediction can be improved along with time when more and more data of the building systems is fed into the artificial neural network model.
Kwok SSK, Yuen RKK, Lee EWM (2011) An intelligent approach to assessing the effect of building occupancy on building cooling load prediction, Building and Environment 46(8), 1681-1690.
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Ahead Prediction of Cooling Load
• Ahead prediction can be used for building energy saving (e.g. chiller sequencing, chiller on/off, etc.)
• The application of real-time cooling load
prediction can be applied to system fault diagnosis.
• When the actual cooling load is largely
deviated from the predicted cooling load, it may indicates the abnormality of the building systems.
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General ANN Model
Real time cooling load
Temperature
Relative Humidity
Solar irradiance
Occupancy Rate of Office Towers
Landlord power consumption rate
Occupancy Rate of Shopping Mall
Tenants power consumption rate
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Weather Stations
Pyranometer for measurement of solar irradiance
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Measurement of Occupancy Rate
Turnstiles at Office Lift Lobbies
People Counting System at Shopping Mall
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Network Configuration for Cooling Load Prediction
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Ahead Prediction of Cooling Load
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Key Factors for Energy Saving of HVAC
Production
Distribution
Demand Prediction
Maintenance
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Conclusion
• Adaptive control in comparison with traditional fixed logic chiller plant control
• Advanced intelligent technique in predicting cooling load
• No modification on mechanical parts • Easily applied for existing projects
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THANK YOU!