A Robust Data
Management System
for Integrating Campus
Sustainability Goals
Presented by David Trombly, PhD
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
Key points
• No longer enough to run systems – need to
provide good data
• Everyone has data problems
• How we are trying to overcome our data
problems
• Examples of data being put to good use
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Data
More data utilized properly will help users and decision makers save energy and water
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Commencements
6/12 3:13PM
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How is your data?
No data
Bad data
Unused
data
Datadriven
decisions
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How does SUSTAINABILITY apply to data management?
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Correct tools
Automation
Standard
Operating
Procedures
Sustainable
data
management
System
utilization
Stakeholder
buy-in
Management
of change
QA/QC
Meta data
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“Hub” for Smart City Data
Building Utility
Metering
Heating & Cooling
Plant Operations
HVAC Operations
& Smart
Thermostats
Interior Lighting
& Occupancy
Building Level
Substation
Metering
Water & Wastewater
Operations
Exterior Lighting
Controls
Campus Level
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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“Hub” for Smart City Data
Building Utility
Metering
Substation
Metering
Heating & Cooling
Plant Operations
HVAC
Operations
Water & Wastewater
Operations
Smart
Thermostats
Interior Lighting
& Occupancy
Building Level
Exterior Lighting
Controls
Campus Level
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Standard Operating Procedures
Data management plan:
• Naming conventions
• Standard attributes of tags
• Standard data source setup
• System configuration
• Roles and responsibilities
• Clearly defined ownership
• Security
• Network setup
• Data resiliency procedures –
buffering, backups, redundancy
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Standard Operating Procedures
Data flow diagrams
Utilities
dashboard
PI SDK
Electricity
meter
ION
System
ION OPC
Server
PI OPC
Interface
PI System
PI
Energy
WS dashboard
Steadfast.ucdavis.edu
Billing
system
QA/QC
Legend
TCP/IP, Port 5450
Modbus
Utilities
SCADA
network
Campus
network
Windows users
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Quality Assurance/Control
• One system of record
• Commissioning/calibration
– Data accuracy
– Equipment installation
– Equipment maintenance
• Internal audits
– Data quality
– Point configuration (poling
frequency, data transformations)
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Meta data – Context
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Meta data – Process Flow Diagrams
System Utilization
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Management of change
• Systems to document changes to:
–
–
–
–
–
–
Tags
Process flow
Data flow
Equipment inventory
Meta data
Data infrastructure
• Notification/communication of changes
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Automation
• Automatic transfer of meta data from system of
record
• Automatic updates to SOPs, data flow diagrams,
equipment inventory
• Notifications and alarms for data management
system issues, data quality issues, and especially
asset specific issues revealed by the metrics,
analytics
• Automation allows data scientists to focus on the
cool stuff
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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What you can do with a little good data
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Key points
• No longer enough to run systems – need to
provide good data
• Everyone has data problems
• How we are trying to overcome our data
problems
• Examples of data being put to good use
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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David Trombly
dmtrombly@ucdavis.edu
Associate Engineer
Utilities, UC Davis
Joshua Morejohn
jdmorejohn@ucdavis.edu
Energy Manager
Facilities Management, UC Davis
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UC Davis (Main Campus)
• 34k students, 23k Faculty & Staff
• 1,000+ buildings, 180 over 10,000SF
• 11.3M SF total, 5,300 acres land
• Founded 1905, avg building age: 41 years old
• Steam production: 700M lbs/yr (NG boilers)
• Chilled water production: 30M ton-h/yr (elect chillers)
• Purchased utilities cost (elect & gas): $30M/year
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
Standard Operating Procedures
Data management plan:
• Naming conventions
• Standard attributes of tags
• Standard data source setup
• System configuration
• Roles and responsibilities
• Clearly defined ownership
• Security
• Network setup
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Meta data – Equipment Inventory
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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System Utilization
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Management of change
Data lifetime
Communication/notification
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© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Stakeholder buy-in
• Training
• Marketing data products
• Sharing data with students, faculty, staff,
operators, senior management
• Developing user products, dashboards, tools
• Developing metrics, analytics
© C o p yr i g h t 2 0 1 4 O S Is o f t , L L C .
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Tools
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Tools
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Standard Operating Procedures
Data resiliency
• Collaboration with IT
• Backups
• Redundancy
• Who to contact during
problems
• Buffering
• What to check after
system is restored
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