a robust data management system for integrating campus sustainability goals
DESCRIPTION
A Robust Data Management System for Integrating Campus Sustainability Goals. David Trombly, PhD. 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. Data. - PowerPoint PPT PresentationTRANSCRIPT
© Copyr ight 2014 OSIsof t , LLC .
Presented by
A Robust Data Management System for Integrating Campus Sustainability Goals
David Trombly, PhD
© Copyr ight 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
© Copyr ight 2014 OSIsof t , LLC . 3
Data
More data utilized properly will help users and decision makers save energy and water
© Copyr ight 2014 OSIsof t , LLC . 4
© Copyr ight 2014 OSIsof t , LLC . 5
6/12 3:13PM
Commencements
© Copyr ight 2014 OSIsof t , LLC . 6
How is your data?
No data Bad data Unused data
Data-driven
decisions
© Copyr ight 2014 OSIsof t , LLC . 7
How does SUSTAINABILITY apply to data management?
© Copyr ight 2014 OSIsof t , LLC . 8
Sustainable data
management
Correct toolsStandard Operating
Procedures
QA/QC
Meta dataManagement
of change
Stakeholder buy-in
System utilization
Automation
© Copyr ight 2014 OSIsof t , LLC . 9
“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
© Copyr ight 2014 OSIsof t , LLC . 10
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 ight 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
© Copyr ight 2014 OSIsof t , LLC . 12
Standard Operating ProceduresData flow diagrams
Electricity meter
ION System PI System Energy
dashboard
Utilities dashboard
Billing system
ION OPC Server
PI OPC Interface
Steadfast.ucdavis.edu
QA/QC
TCP/IP, Port 5450
Legend
ModbusWindows users
PI SDK
PI WS
Utilities SCADA network
Campus network
© Copyr ight 2014 OSIsof t , LLC . 13
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)
© Copyr ight 2014 OSIsof t , LLC . 14
Meta data – Context
© Copyr ight 2014 OSIsof t , LLC . 15
Meta data – Process Flow Diagrams
System Utilization
© Copyr ight 2014 OSIsof t , LLC . 16
Management of change• Systems to document changes to:
– Tags– Process flow– Data flow– Equipment inventory– Meta data– Data infrastructure
• Notification/communication of changes
© Copyr ight 2014 OSIsof t , LLC . 17
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 ight 2014 OSIsof t , LLC .
What you can do with a little good data
© Copyr ight 2014 OSIsof t , LLC .
© Copyr ight 2014 OSIsof t , LLC .
© Copyr ight 2014 OSIsof t , LLC .
© Copyr ight 2014 OSIsof t , LLC . 22
© Copyr ight 2014 OSIsof t , LLC . 23
© Copyr ight 2014 OSIsof t , LLC . 24
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 ight 2014 OSIsof t , LLC .
David [email protected] EngineerUtilities, UC Davis
25
Joshua [email protected] ManagerFacilities Management, UC Davis
© Copyr ight 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
© Copyr ight 2014 OSIsof t , LLC . 27
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
© Copyr ight 2014 OSIsof t , LLC . 28
Meta data – Equipment Inventory
© Copyr ight 2014 OSIsof t , LLC . 29
System Utilization
© Copyr ight 2014 OSIsof t , LLC . 30
Management of changeData lifetime
Communication/notification
© Copyr ight 2014 OSIsof t , LLC . 31
© Copyr ight 2014 OSIsof t , LLC . 32
© Copyr ight 2014 OSIsof t , LLC . 33
© Copyr ight 2014 OSIsof t , LLC . 34
© Copyr ight 2014 OSIsof t , LLC . 35
Stakeholder buy-in• Training• Marketing data products• Sharing data with students, faculty, staff,
operators, senior management• Developing user products, dashboards, tools• Developing metrics, analytics
© Copyr ight 2014 OSIsof t , LLC . 36
Tools
© Copyr ight 2014 OSIsof t , LLC . 37
Tools
© Copyr ight 2014 OSIsof t , LLC . 38
Standard Operating ProceduresData resiliency• Collaboration with IT• Backups• Redundancy• Who to contact during
problems• Buffering• What to check after system is
restored