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Don Hill
System Operations Manager
UMD Facility Performance Group
Data-Driven Buildings
Manage Your Energy Intelligently
Drew DePriest
Regional Sales Manager
Automated Logic
 Bursting with data
 Making better decisions
 Real world examples
 Bursting with data
 Making better decisions
 Real world examples
Evolution of BAS
Control
• Monitor
• HVAC control
• Physical I/O
• Equipment meter
• Dashboards
• Data from entire
building
• Enterprise APIs
• FDD
• Data from cloud
• “Analytics”
Meter
Model &
Prompt
Model,
Prompt,
Respond
• Auto optimize
• DR
• Micro & macro
• Smart grid
Integration!
integration
two-way exchange of data between BAS and
some other data source
BAS Data source
How to Speak BAS
Open Protocol
 1995: ASHRAE Standard 135
 2000: founding of what’s now
 Many vendors capable
Data: Equipment
Seamless interface
Next step: Web apps
APIAPI
BAS
 Weather
 Demand Response, real-time pricing
 Enterprise systems
Data & “The Cloud”
Example: Weather
Intelligent Buildings
Elevators SecurityHVAC Fire
Weather Utility
Pricing
BAS
 Bursting with data
 Making better decisions
 Real world examples
Technology available
BAS Data
Analytics Dashboard Kiosk
“Analytics”
 Technical audience
 Proactive vs. reactive
 Finding patterns in data
Drives: technical decisions
Predictive
Analytics
Predictive
Maintenance
Predictive Analytics
Metering alone Model + Prompt
Predictive Analytics
 Trends
 Weather forecasts
 Alarm prioritization
 Energy benchmarks
Predictive Maintenance
PM on Schedule PM on Usage
Predictive Maintenance
Automatic Work Orders
BAS
Failure!
“Dashboards”
 Financial/managerial audience
 Purely reactive
 Finding areas for investment
Drives: business decisions
Dashboards in use
Dashboards in use
“Kiosks”
 Non-technical audience
 Marketing/educational tool
 Interactive = fun!
Drives: behavioral decisions
Tenant energy use
 Direct & indirect impact
 60-80 % total energy = tenants*
 Partnership
*Source: ENERGY STAR
Behavioral impact
 Change habits
 Reduce consumption
 Lower costs
1962 episode of “Candid Camera”
Meaning
1,248 kWh
DAILY ELECTRICAL USAGE
1,248 kWh
YOU
1,248 kWh
EVERYONE ELSE
?✓
Meaning
1,248 kWh
$
Make it meaningful
Dashboards
Beyond the Kiosk
 Kiosk alone – ineffective
 Behavior change is hard!
 Add programs
 Consumption competitions
 Data challenges
 Sustainability campaign
 Bursting with data
 Making better decisions
 Real world examples
Analytics Example: Water Loss
In two months, tower overflow resulted in $80,000 loss.
Challenge:
Make your metered data work for you.
Solution:
Analytics Example: Water Loss
Dashboard Example: Plant Efficiency
How do you select the best design for your campus?
Challenge:
Try them all, build a dashboard.
Solution:
Dashboard Example: VSD Chillers
Should you retrofit existing chillers with new VSDs?
Challenge:
Yes. Prove it by monitoring, trending, plotting kW & load.
Solution:
0.000
0.200
0.400
0.600
0.800
1.000
1.200
1.400
1.600
0.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00 400.00
ChillerkW/ton
Total Plant Tons
Marie Mount Hall, Chillers 1 & 2, Aug 1 – Aug 21
CH1 kW/ton
CH2 kW/ton
Dashboard Example: VSD Chillers
VSD = 21% more efficient than Solid State
Dashboard Example: VSD Chillers
VSD = 24% more efficient than Solid State
0.000
0.200
0.400
0.600
0.800
1.000
1.200
1.400
0.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00
ChillerkW/ton
Total Plant Tons
Marie Mount Hall, Chillers 2 & 3, Aug 21 – Aug 28
CH3 kW/ton
CH2 kW/ton
 Bursting with data
 Making better decisions
 Real world examples
andrew.depriest@automatedlogic.com
Drew DePriest
Regional Sales Manager
Automated Logic
Don Hill
System Operations Manager
UMD Facility Performance Group
donhill@umd.edu

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