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RoomZoner: Occupancy-based Room-Level Zoning of a Centralized HVAC System Tamim Sookoor and Kamin Whitehouse April 11, 2013 4 th International Conference on Cyber-Physical Systems (ICCPS)
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US Residential Energy Use* 1 *US Energy Information Administration
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US Residential Energy Use* 1 Homes are ~30% vacant Smart Thermostat: 28% Savings --Sensys 2010 *US Energy Information Administration
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US Residential Energy Use* 1 Homes are ~50% used when occupied Our goal: Occupancy-driven zoning *US Energy Information Administration
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Related Work 2 HVAC Co-design ICCPS 2013 POEM IPSN 2013 PreHeat UbiComp 2011
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72 °F 69 °F RoomZoner Retrofit centralized HVAC for room-level zoning Low cost DIY installation Ensure safety of HVAC system 3 72 °F 69 °F
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Outline Zoning Overview Challenges Approach Evaluation 4
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DIY Zoning Retrofit 5
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6 69 °F
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6 72 °F 71 °F 70 °F 69 °F 71 °F 70 °F 69 °F 68 °F 72 °F 71 °F 70 °F 64 °F 63 °F 65 °F 72 °F
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Outline Zoning Overview Challenges Approach Evaluation 7
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Zoning With a Central HVAC System 8 Central HVAC One sensor One heater/cooler Zoned HVAC N sensors N heaters/coolers RoomZoner N sensors One heater/cooler N + 1 control signals Can a central HVAC system safely be used for zoning? Can it be implemented with COTS components?
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Backpressure 9
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Short Cycling 10 69 °F 72 °F 71 °F 70 °F 73 °F
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Temperature Estimation 11 65 °F 69 °F 70 °F 76 °F 74 °F 78 °F What temperature to use for control decisions?
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Temperature Estimation 11 65 °F 69 °F 70 °F 76 °F 74 °F 78 °F Occupied rooms? Low system stability
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Temperature Estimation 11 65 °F 69 °F 70 °F 71 °F 77 °F 74 °F 78 °F House average? Average = 72°F Slow reaction
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Occupancy Assessment 12 72 °F 69 °F 70 °F 72 °F 77 °F 65 °F 78 °F 67 °F 66 °F
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Outline Zoning Overview Challenges Approach Evaluation 13
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Tackling the Challenges Challenge Equipment Safety Temperature Estimation Occupancy Assessment Approach Dump Zones Conservative Averaging Occupancy Characterization 14
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Dump Zone Selection 15 65 °F 69 °F 70 °F 71 °F 77 °F 74 °F 78 °F Which additional rooms should you condition?
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Dump Zone Selection 15 65 °F 69 °F 70 °F 71 °F 77 °F 74 °F 78 °F
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Dump Zone Selection 15 65 °F 69 °F 70 °F 71 °F 77 °F 74 °F 78 °F How many rooms should be in the dump zone?
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Building a Airflow Model 16 Exponential Measurements
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Building a Conservative Airflow Model 17 2N Measurements
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Conservative Airflow 18
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Estimating Total Airflow 19 + + + + + + > T
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Conservative Temperature Averaging 20 65 °F 69 °F 70 °F 72 °F 77 °F 74 °F 78 °F Heating: Max Cooling: Min Trade-off comfort for stability
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Occupancy Characterization Analyze Historical Occupancy Data – Find sensor firing frequencies that identify Stable occupancy – Start of long-term usage – End of long-term usage Transitional occupancy – Start of temporary usage – End of temporary usage 21
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Occupancy Characterization Exhaustive search over frequencies – Minimize total occupancy time 22 Maximum False Negatives Maximum State Transitions Maximum 25 th Percentile Duration (mins) Stable304 Transitional4303 Sensor frequencies
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Outline Sensor Design Topological Constraints Search Evaluation 23
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Experimental Approach Deployed RoomZoner in a 7-room house 13 registers 12 temperature sensors 42 days (21 RoomZoner / 21 whole house) 24 Sun MonTueWedThuFriSat … RoomZoner Whole house
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Response to Temperature 25
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Energy Savings 26 ~14% less energy
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Limitations and Future Work Current system built using an ad-hoc approach – Use a control-theoretic approach such as MPC Current evaluation limited in scope – Evaluate system in multiple houses – Extend evaluation period 27
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Conclusions Centralized HVACs can be retrofitted for zoning – Low-cost DIY installation – Saves energy Requires incorporation of prediction – Predict room-level occupancy (POEM?) – Predict room temperature changes (Matchstick?) One step towards residential room-level zoning of centralized HVAC systems 28
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29 Feedback or Questions?
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30 Backup Slides
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Implementation 31
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Challenges to Central HVAC Zoning Equipment safety – Backpressure – Short-cycling Temperature estimation – N sensors 1 Heater/Cooler Occupancy assessment – Passageway rooms – Short-term room usage – Multi-room usage 32
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