unlock your buildings hidden energy data - corenet seattle
TRANSCRIPT
Unlock Your Building’s Hidden Energy Data
Jason BurtCo-founderbuildpulse.com
Bethany DavisSustainability CoordinatorSeattle Pacific University
Dev DuRuzDirector of CommissioningPaladino and Company
Overview
• Why unlock your building data?• What are practical benefits ?• Case study – SPU climate action plan and
retro-commissioning success• How is this economically possible … NOW
1980PC-based temperature controls & building automation to commercial real estate based on the DNA of analog pneumatic & electric controls
2010Cloud computing
Then & Nowa brief history of controls
2008Climate commitment signatory
2010Climate Action Plan
2036Carbon neutral
SPU at a Glance
4,200 students
100 buildings – 1.2m sf
41 acre, quasi-urban campus
2008Climate commitmentsignatory
2010Climate Action Plan
2036Carbon neutral
Natural Gas
Fleet
2008 GHG Baseline
Commuting
Air travel
ElectricityLandscaping
201520% less natural gas
2008Commitment
2010CAP
2036Carbon neutral
201520% < therms
-100,000 therms
Building submetering
Improved building controls
Retro-commissioning
RCx implementation
Planned development / major renovations
Building submetering
Improved building controls
Retro-commissioning
RCx implementation
Planned Development / Major Renovations
2015
-12% -8% 80%
Building submetering
Improved building controls
Retro-commissioning
RCx implementation
0%10%20%30%40%50%60%70%80%90%
100%
Utility incentivesInternal borrowing
Funding Mechanism
$1m
What is RetroCx?
What is RetroCx?
Investigation
Recommendations
ImplementationTraining
Track Performanc
e
Energy Audits
Unlock data.
• Leveraged existing building automation and temperature control systems
• Buildpulse.com web appliance (hardware) captures system and building level performance data real-time.
• Data exported to cloud services for automated analytics & reporting
Through a partnership with Seattle’s Smart Buildings Center, SPU piloted a Internet of Things Technology - a smart sensor energy monitoring and management system.
Manage energy.
Reveal hidden opportunitiesEstablish mean EUI for
each program
Identify
which buildin
gs perform well
and which don’t.
Use IoT
technology and
BAS to create Site Cx Roadm
ap
Conduct site commissioning to ensure data integrit
y.
Use IoT
dashboard
to track
additional
corrections
Results: Significantly reduced building energy use and operational costs.
Alexander Hall
Buildpulse reporting identified HVAC units running 24 hours versus the intended BAS scheduled 10 hours for its variable refrigerant flow system (VRF).
11,100 SF building constructed in 1893 and renovated in 2014.
Interactive Decision Tool
Energy Efficiency Selection Menu
Reduced building energy use
Energy savings generally exceeded retro-Cx costs by a factor of five.
An estimated $15,000 was saved compared to traditional retro-Commissioning engineering and sub-contractor coordination process.
Reduced building energy use
• Simple changes will save 5% to 15% per year on heating bills –Up to 1% for each degree.
• Interactive tool allows SPU to track performance and decision making.
Energy savings exceeded retro-Cx costs by a factor of five.
An estimated $15,000 was saved compared to traditional retro-Commissioning engineering and sub-contractor coordination process.
Significant cuts to operational costs
SPU is on track to meet its natural gas reduction goalthis year
Lessons Learned
Utility incentive programs
• Modifications for campus setting
• Know what you’re getting into
• Clear it with legal
Coordinating with other efforts
• Reduce internal IT resources - Shift data storage to cloud
• Support facilities and contractor effort
• Automatically identify & rank by ROI Energy Conservation Measures (ECMs)
Today’s Tools
• Unlock data from all brands of existing building automation systems
• Reduce reliance on 3rd party specialty contractors and integrators
• Available now to bridge the gap between promise of future IoT and existing realities
Building Efficiency Overtime
Why are we still wasting money?
Look! We have a command center.
Scenario:90 buildings2 techs4 test conditions (1 piece of equipment / building)
How long to diagnose 4 Issues?
How long to diagnose 4 Issues?
40 buildings in 1 year, they don’t finish.
Scenario:90 buildings2 techs4 test conditions (1 piece of equipment / building)
Manual Process
Where is the Return on Investment in current process?
Data Issues
Accessing
NormalizationRoom TemperaturermTmpRoom TempZ.N.T.M.P
AnalysisManualExcel and one off calculations
Customizable Tools / DashboardsManual setup of rulesOne off rules
SecureNo network credentials
ScalableUnique Series Parallel read
SimplePlugs into your current system
Data Standardization
Machine LearningCreates a standard alias Based on Ashrae and haystack standards
Compatible data and APIMaps to haystack and other standards
Standardized Reporting Across systems
Automate Issue Identification
What is running? Why?
Operations
How Much time is the room really cold?
Comfort
QUESTIONS?
Bethany DavisSustainability Coordinator, Seattle Pacific University
Dev DuRuzPaladino and Company
Jason Burtbuildpulse.com