utilizing analytics to drive change in buildings - apem sept 18 2015
TRANSCRIPT
Brice Kosnik – CEO buildpulse
Utilizing Analytics to Drive Change in Buildings
Benefits of Analytics
buildpulse
Prioritizing Service
Improving Operational Efficiency
Reducing Complaints
Retaining Knowledge
Implementing Best Practices
Identifying & Fixing Issues
Changing Operational Practices
Driving Conversation with Stakeholders
Ways to use data
buildpulse
How we do it today.
• Graphics
• Alarms
• Trends
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Basic Analytics
How long does it take to?• Test Every Sensor, Valve,
Damper, & Relay• 90 buildings• 2 Dedicated Techs
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Basic Analytics
buildpulse
Basic Analytics
• Answer
40 buildings / year
Common Issues Found in Commissioning
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Top 12 Issues1. HVAC system operates continuously during unoccupied
period 2. Lighting system illuminating space during unoccupied
period 3. HVAC system improperly balanced 4. Improper refrigerant charge 5. Economizer dampers operating incorrectly 6. Insufficient evaporator airflow 7. Improper controls setup8. Control component failure or degradation 9. Software programming errors 10. Improper controls hardware installation 11. Air-cooled condenser fouling 12. Valve leakage
• Setpoints• Scheduling• Sequences
Reference: PNNL - A Guide to Building Commissioning
Foundation
Analytics automates the manual processes and audits that we don’t have time for.
4 Man Years Or 5 Minutes
Its About Automation
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Manual Inspection still requires verification
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Building Efficiency Overtime
Energy Savings
Setpoint Analysis
Night High LimitRoom Cooling SPRoom Heating SPNight Low Limit
K-12 School District – 2 HS \ 1 MS \ 1 ES - Sample 345 Classroomsbuildpulse
Setpoint Analysis
VAV Sequence Refresher
Control of a VAV reheat terminal to vary airflow during heatingASHRAE High Performance VAV Systems, ASHRAE Journal Oct 2011, John Murphybuildpulse
VAV Sequence Refresh
Actual VAV Performance
Data Taken From typical Reheat VAV – City Building
Discharge Air TemperatureRoom TemperatureReheat Valve
Room Heating SPRoom Cooling SP
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VAV Actual Performance
Schedule to Actual Occupancy
Start up each Zone individually so that it reaches Heating or Cooling Setpoints at
Occupancy
Adjust Heating and Cooling Setpoints so that all zones have 0 heating or cooling
load at UnOccupied. buildpulse
Schedules Optimal Start / Stop
University Lecture Hall
Optimal Start w/ Staging1 AHU & Exhaust Fans Running All Nightbuildpulse
University Lecture Hall
Ineffective Optimal Start
Cooling SetpointFan CommandRoom TemperatureDischarge Air Temperature
Optimal Start Cooling with no Cooling available
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Ineffective Optimal Start
Office Building
No Optimal Start \ StopVentilating during Unoccupied
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Office Building
Temperature Set Point Policy
10-15%
Deadband Temperature
Policy
3-5%
Night / Weekend Set Point & Schedules
5-10%
Water \ Air Static Pressure
Resets
2-5%
2500 kWh/ Year / 1000 SqFt
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Energy Savings
Other Examples
• Temperature Resets• Pressure Resets• 24 Hour Operation• Chilled & Hot Water Plant operation• Simultaneous heating and cooling• Economizer Analysis• High \ Low Discharge Air Temperature
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Other areas – most teams don’t get to.
Operational Improvements
Operational Savings
Automatic Calibration
Reduced Tenant
Complaints
Faster Troubleshooting
On-Going Cx
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Operational Savings
Automatic Calibration
• Adjust Setpoints• Predictive Weather controls• Load Shedding
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Automatic Calibration
Faster Troubleshooting
Should:Provide Associated Data, Problem & Solution
Should Not:Require you to dig through data
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Faster Trouble Shooting
On-Going Cx \ Prioritize Service
Should:Apply Cost and ROI to Prioritize Faults and IssuesPrevent Drift
Should Not:Overwhelm you with information
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Ongoing Cx - Prioritizes Service
Reduced Tenant Complaints
• Less Task Switching• Proactive Service
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Reduce Tennant complaints
Operational Savings
Result3 Hours / Year / 1000 SqFt
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Operational Savings
Security
Other Benefits
Security(Cloud)
Consultants and Contractors have access to data without needing access
to your network
Data Historian(Cloud \ Local)
All data should be archived regardless of Configured Trends
REST API(Cloud)
Open & Secure data sharing with other platforms and Analysis Tools
Energy Star \ Utilities(Cloud)
Aggregation of Energy Star, Utility Interval Data
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“Cloud” Advantages
Driving Change
Reduced Tenant Complaints
1-3% utility savings per year for every degree of deadband implemented.
Clear reporting of time series temperature analysis, policy, and best practices, results in
positive and productive conversation.
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Comfort
Reduced Tenant Complaints
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Policy Conversations
Design & Operate, for “Off”
Shutting down equipment in swing seasons can save a lot of energy. But it can be hard to
quantify and it will result is discomfort. Analytics quantifies the savings and enables
the conversation to drive policy change.
Reduced Tenant Complaints
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Habits and M&V
Did it get Fixed? Is it performing how we thought it would?
Automate Verification
Reduced Tenant Complaints
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Capture Knowledge
Facility Engineers know their building. How do we prevent their knowledge from retiring with
them?
Enable low friction methods of capture, alignment, and storage.
Brice Kosnik – CEO buildpulse
available [email protected]
Utilizing Analytics to Drive Change in Buildings
Zone Deadband
Setpoints & Deadbands
Zone Heating
Zone Cooling74 DegF
68 DegF
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Setpoints & Deadbands
Night High \ Low Limit
UnOcc Deadband
UnOcc Heating
UnOcc Cooling78 DegF
58 DegF
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Night High / Low Limits