© Copyright 2014 OSIsoft, LLC. Presented by A Robust Data Management System for Integrating Campus...
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Transcript of © Copyright 2014 OSIsoft, LLC. Presented by A Robust Data Management System for Integrating Campus...
© Copyr igh t 2014 OSIsof t , LLC.
Presented by
A Robust Data Management System for Integrating Campus Sustainability Goals
David Trombly, PhD
© Copyr igh t 2014 OSIsof t , LLC. 2
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
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Data
More data utilized properly will help users and decision makers save energy and water
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6/12 3:13PM
Commencements
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How is your data?
No data Bad data Unused data
Data-driven
decisions
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How does SUSTAINABILITY apply to data management?
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Sustainable data
management
Correct toolsStandard Operating
Procedures
QA/QC
Meta dataManagement
of change
Stakeholder buy-in
System utilization
Automation
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“Hub” for Smart City Data
Building Level Campus Level
Building Utility Metering
HVAC Operations& Smart Thermostats
Substation Metering
Water & Wastewater Operations
Heating & Cooling Plant Operations
Exterior Lighting ControlsInterior Lighting
& Occupancy
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Building Level Campus Level
Building Utility Metering
HVAC Operations
Substation Metering
Water & Wastewater Operations
Heating & Cooling Plant Operations
Exterior Lighting Controls
Smart Thermostats
Interior Lighting & Occupancy
“Hub” for Smart City Data
© Copyr igh t 2014 OSIsof t , LLC. 11
Standard Operating ProceduresData 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
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Standard Operating ProceduresData flow diagrams
Electricity meter
ION System
PI SystemEnergy
dashboard
Utilities dashboard
Billing system
ION OPC Server
PI OPC Interface
Steadfast.ucdavis.edu
QA/QC
TCP/IP, Port 5450
Legend
Modbus
Windows users
PI SDK
PI WS
Utilities SCADA network
Campus network
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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)
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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
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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
© Copyr igh t 2014 OSIsof t , LLC.
What you can do with a little good data
© Copyr igh t 2014 OSIsof t , LLC.
© Copyr igh t 2014 OSIsof t , LLC.
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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
© Copyr igh t 2014 OSIsof t , LLC.
David [email protected]
Associate Engineer
Utilities, UC Davis
25
Joshua [email protected]
Energy Manager
Facilities Management, UC Davis
© Copyr igh t 2014 OSIsof t , LLC.
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
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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
© Copyr igh t 2014 OSIsof t , LLC. 28
Meta data – Equipment Inventory
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System Utilization
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Management of changeData lifetime
Communication/notification
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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
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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