Smart Buildings Brian Cho, Hyungsul Kim CS598TAR - Green Computing
Feb 25, 2016
Smart Buildings
Brian Cho, Hyungsul KimCS598TAR - Green Computing
Why Do Buildings Matter?
Buildings are Major Energy Consumers
• According to U.S. Department of Energy
Buildings Last a Long Time (Decades)
• 20% of U.S. commercial floor space in use in 1995 was pre-WWII construction
• Decisions today have a long-lasting impact on our future energy consumption
Monitoring energy in buildings can lead to energy savings
Literature Review
• A behavioral analysis of peaking in residential electrical energy consumers (1976)
• Summary– They installed continuous data collection system in three homes– Combination of feedback and incentives led to 50% reduction in
peak use, while removal of the experimental treatments resulted in a return to previous behaviors
– They found that feedback was important in producing the behavioral changes
Oil Crisis!
Literature Review
• Feedback as a means of decreasing residential energy consumption (1977)
• Summary– Immediate feedback to homeowners about their daily rate of
electricity usage resulted in 10.5% reduction– Writing during the last “energy crisis”, the introduction sounds
remarkably similar to many papers today– “The world is in an energy crisis. Energy costs are increasing
radpily and will continue to do so. Energy shortages have benn experienced; conservation techniques are needed.”
Literature Review
• The effect of goal-setting and daily electronic feedback on in-home energy use (1989)
• Summary– Daily electronic feedback is much more effective than monthly
feedback or self-monitoring (manually reading meters)– Daily electornic feedback resulted in 12.3% energy reduction
and better than all of the other approaches
Literature Review
• What psychology knows about energy conservation (1992)
• Summary– Information is more likely to change behavior when it is specific,
vivid and personalized– Better delivery of messages can also lead to energy savings of
10-20%– Psychology has a special place in energy conservation because
of its emphasis on the consumer’s point of view
Literature Review
• Reducing household energy consumption: a qualitative and quantitative field study (1999)
• Summary– Computerized feedback helped reduce consumption most
markedly– Consumers want customized or particularized advice– Computers have the potential to increase the visibility of fuel
used within the home
Literature Review
• A review of intervention studies aimed at household energy conservation (2005)
• Summary– Tailored information is much more useful than an overload of
general information– Continuous feedback is beneficial(12% less electricity used over
a control group)– “Many environmental problems, such as energy use, are related
to human behavior, and, consequently, may be reduce through behavioral changes.”
Literature Review
• Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data (2006)
• Summary– This study developed an online, interactive energy consumption
information system and installed it in nine houses– They observed 9% reduction in power consumption, while
monitoring only a subset of devices at 30 minute granularity
Literature Review
• The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents (2007)
• Summary– An Internet-based tool was used to encourage households
(N = 189) to reduce their energy use– A combination of tailored information, goal setting (5%), and
tailored feedback was used– After 5 months, households exposed to the combination of
interventions saved 5.1%, while households in the control group used 0.7% more energy
The Message in Summary
MonitoringFine-
granularity, Appliance Level
FeedbackAppliance
Level, Vivid, Personalized
UserBehavior Changes
Energy Savings
How to monitor the energy usage in buildings?
Two Main Approaches
• Bottom-up approach– Make use of many different measurements at appliance level– Challenge: Difficult (expensive) to get full coverage at this level
• Top-down approach– Make use of sensing instrument at the root of the power
distribution network and use algorithms to increase visibility by disambiguating the aggregated load
Bottom-up approaches
Direct: Plug-load meters
• Measure load of whatever is plugged in• Can load data to internet• Not cheap• Can’t measure electric
load that doesn’t usestandard outlets(e.g. HVAC, boilers)
http://www.wattsupmeters.com/secure/products.php?pn=0
Indirect Associated Sensors
• Indirect sensors deployed and associated with specific appliance
• Database of appliances is required
Specific appliance found in catalog and associated with sensor
C. Beckmann, S. Consolvo, and A. Lamarca. “Some assembly required: Supporting end-user sensor installation in domestic ubiquitous computing environments,” Ubiquitous Computing, 2004.
Viridiscope
• Indirect Sensing with autonomous sensor calibration
• In absence of per-application current measurements• Indirect sensors:
– Magnetic: standard deviation of magnetic field change– Acoustic, Light (e.g. refrigerator)
• In-situ autonomous sensor calibration framework
Y. Kim , T. Schmid , Z. M. Charbiwala , M. B. Srivastava, “ViridiScope: design and implementationof a fine grained power monitoring system for homes, “ Ubiquitous Computing, 2009.
MIT Plug
• Multimodal sensor networks in a power-strip form factor
J. Lifton , M. Feldmeier , Y. Ono , C. Lewis , J. A. Paradiso, “A platform for ubiquitous sensor deployment in occupational and domestic environments,” Information processing in sensor networks, 2007.
Spotlight
• Measure energy consumption at the individual level
• Activity monitoring + resource monitoring– Using activity monitoring can disambiguate which individual is
using which resource
User activity monitoring using MicaZ mote
Y. Kim, Z. M. Charbiwala, A. Singhania, T. Schmid, and M. B. Srivastava.“Spotlight: Personal natural resource consumption profiler.” HotEmNets, 2008
Startups
Tendril EnergyHub
• Thermostat/Dashboard + Power strips• ZigBee communication
http://www.tendrilinc.com/products/http://www.energyhub.com/forhome/
Top-down approaches
Energy Load Disaggregation
• Disambiguating an aggregated load from the top down in order to give customers detailed information about how they're using power
• It is also called Nonintrusive Appliance Load Monitoring
Signatures in Aggregated Loads
Appliance Signatures
Signature Space
Appliance Models
Better Signatures
• S.N. Patel, T. Robertson, J. A. Kientz, M. S. Reynolds, and G. D. Abowd. At the flick of a witch: Detecting and classifying unique electrical events on the residential power line
• This study uses sensors with high sampling rates(100Mhz) to capture the electric noises when appliances turn on and off
Conclusion
• Reducing building energy use is an important problem• Monitoring can show opportunities in energy savings• Many challenges in monitoring
– We focused on residential monitoring– More on commercial buildings and their control in the next
presentation…
• Thanks!
Backup slides
U.S. residential Electricity Consumption by End Use, 2008
2006 U.S. Buildings Energy End-Use Splits