DRIVE SYSTEM PERFORMANCE BY LEVERAGING DATA · 2018. 3. 16. · Transformation of data into...
Transcript of DRIVE SYSTEM PERFORMANCE BY LEVERAGING DATA · 2018. 3. 16. · Transformation of data into...
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D R I V E S Y S T E M P E R F O R M A N C E B Y L E V E R A G I N G D ATA
CHANDAN RAO 4/5/2016
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• Transformation of data into actionable insights that drive energy efficiency
– Basis for the Xcel Energy Process Efficiency Program (SEM / ISO 50001)
• Focuses on continuous improvement and sustainable energy conservation initiatives for mid to large size Xcel Energy customers in Colorado.
– Promotes “FACT BASED” - data driven decisions – Collaborative / objective solutions resulting in highest ROI
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STRATEGIC ENERGY DATA VISUALIZATION
Visualization Provides Effective Insights and Improves Understanding
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• Data mined from building automation systems / monitoring to enhance operational efficiencies
• Predictive analytics / statistics to quantify impact of changes on
• energy efficiency • reliability • quality
• Realistic energy
performance goals
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DATA COLLECTION & APPL ICAT ION OVERVIEW
Data
Visualization
Enough Data
Energy Data Mining
Techniques
Business Understanding
Empower Energy
Efficiency
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SYSTEMS THINKING - AN APPLICATION
Systems Components Application - HVAC System
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End Use
Distribution
Generation
APPLICATION(End Use/Demand)
DELIVERY METHOD
(Distribution/Network)
UTILITY SOURCE
(Supply/Plant)
Floor Plan/ with space typesCleanliness/Noise/ExhaustTemperature/Pressure/HumidityOccupancy/ Operating Schedules
Fans, ductsDistribution Losses
+ Main headers+ Branches+ Final filters...
AHU Equipment + Motors+ Chilled Water + Hot water/Steam
Utility System
SYSTEM
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• What frequency of data should I use? – A lot of factors go into this – Typically 5 to 15 minutes for slow
response systems – Less then 30 seconds for high response
systems • How much data do I need?
– Capture all of the typical operating modes (production, occupancy, seasons, …)
• What data do I need?
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Identifying Data
OVERVIEW OF DATA REQUIREMENTS
End Use
Distribution
Generation
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What data is important for driving efficiency?
SYSTEM PARAMETERS FOR ENERGY EFF IC IENCY
End Use
Distribution
Generation
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What data is important for driving efficiency?
SYSTEM REQUIREMENTS DATA
What temperature does my space actually need?
What humidity does my space actually need?
How much air does my space actually need?
When do I need to condition my space?
How much ventilation does my space actually need?
End Use
Distribution
Generation
Return Air Temp
Supply Air Temp
Supply Air Flow
Outdoor Air % (Mixed Air Temp)
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What data is important for driving efficiency?
SYSTEM REQUIREMENTS DATA
End Use
Distribution
Generation
How am I delivering the conditioned air to my space?
How will I quantify the energy used to deliver air to my space?
Return Fan Power
Supply Fan Power
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What data is important for driving efficiency?
SYSTEM REQUIREMENTS DATA
End Use
Distribution
Generation
How am I conditioning the air (cooling, heating, …)?
How will I quantify the energy used to condition the air?
Already have everything
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“Normal” Plot
METHODS FOR VIEWING SYSTEMS DATA
Temperature Flow
A Simple View of Data in Time
Operating Pattern?
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Comparison Plot – Taking Normal Plots a bit further
METHODS FOR VIEWING SYSTEMS DATA
All of the data in a single data set is plotted in the same time window.
Weekend, Weekday, Week, Month, Season, Year, …
Identify Time Based Relationships
Operating Pattern
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Schedule Plot – Simplified Patterns
METHODS FOR VIEWING SYSTEMS DATA
High
Low Hour
of t
he D
ay
Day of the Week Day of the Week Day of the Week
Average of the Comparison Plot Simplified Summary of the Comparison Plot
Visualized Scheduling
Does this profile make sense given my operation?
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Scatter Plots - Finding Relationships
METHODS FOR DATA DISCOVERY
AHU Supply Temp Relationship with Outdoor Air Temp (Resets)
Hard to identify strong relationships with 5 minute data
Relationships start to emerge with daily averaged data
Identifying Relationships between Two Variables
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Scatter Plots - Finding Relationships
METHODS FOR DATA DISCOVERY
Am I supplying the right temperatures?
Supply Air Temperature
Return Air Temperature
65°F SAT < 43°F 62°F SAT > 71°F
72.5°F
Identifying Relationships between Two Variables
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Complex Scatter Plots - Finding Indirect Relationships
METHODS FOR DATA DISCOVERY
Shows the relationship of the percentage of outdoor air being brought into the space with outdoor air temperature
Outdoor air can be used to avoid using mechanical cooling
What does this mean?
HVAC Economizer
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Complex Scatter Plots - Finding Indirect Relationships
METHODS FOR V IEWING EQUIPMENT PERFORMANCE
HVAC Economizer Ideal Curve – minimizes mechanical cooling
Control Curve – what the economizer is
programmed to do Average Current
Operation
Actual Data
Can I operate my economizer on the ideal curve?
Compare Actual Trends to Ideal Trends
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Connecting Data to Equipment
METHODS FOR V IEWING EQUIPMENT PERFORMANCE
Cooling Load
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Connecting Data to Equipment
METHODS FOR V IEWING EQUIPMENT PERFORMANCE
Heating Load
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Linking the Interaction of Multiple Equipment
METHODS FOR V IEWING SYSTEM INTERACTIONS
AHU 1 AHU 2 AHU 3
AHU 4 AHU 5 AHU 6 AHU 7
AHU 8 AHU 9 AHU 10 AHU 11
AHU 12 AHU 13
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METHODS FOR V IEWING SYSTEM INTERACTIONS
Cooling Heating Fan
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