a robust data management system for integrating campus sustainability goals

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Presented by

A Robust Data Management System for Integrating Campus Sustainability Goals

David Trombly, PhD

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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

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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

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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 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

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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

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What you can do with a little good data

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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

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David Tromblydmtrombly@ucdavis.eduAssociate EngineerUtilities, UC Davis

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Joshua Morejohnjdmorejohn@ucdavis.eduEnergy ManagerFacilities 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

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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

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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 ProceduresData resiliency• Collaboration with IT• Backups• Redundancy• Who to contact during

problems• Buffering• What to check after system is

restored