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DREAM Team Publications

 

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In order to eliminate the need for new costly power plants, the State of California is exploring a new source of electricity savings: the reduction of peak demand. Measures to reduce the peak demand for electricity are termed 'demand response' (DR). As part of the effort to increase demand responsiveness, the California Energy Commission is currently constructing a new policy to require DR-enabled thermostats for new residential construction in California.

Before demand-response systems can be effectively deployed on a wide scale in the residential sector, several issues must be resolved. One group of the DRETD team is working on the infrastructure of communications (Prof. Paul Wright, Prof. Jan Rabaey). Another group is developing metering infrastructure (Prof. Richard White), and yet another group is working on energy scavenging (Prof. Paul Wright). The DRETD Thermostat and Controls Group (Prof. Dave Auslander, Prof. Edward Arens) is developing controls: a demand response thermostat. This low-cost demand-responsive electrical appliance manager (DREAM) exploits wireless technology and a system of learning (both by machine and occupant). DREAM automatically responds to price signals so that the homeowner is not forced to be a "day trader" in electricity. It accepts the homeowner's preferences for cost versus comfort. This "thermostat" controls other appliances in the house, such as electric water heaters, refrigerators, pool pumps, and lights in response to price signals from the utility.

This website describes the hardware and software developed to test this system.

Hardware Documentation

Generic MoteDocumentation [PDF]  
HVAC RelayDocumentation [PDF] Bill of Materials [PDF] [Excel]
IR SensorDocumentation [PDF] [Word] Bill of Materials [PDF] [Excel]
Motion SensorDocumentation [PDF] [Word] Bill of Materials [PDF] [Excel]
Smart CT Sensor Documentation [PDF]  
Thermostat SwitchDocumentation [PDF] [Word] Bill of Materials [PDF] [Excel]
Weather StationDocumentation [PDF] [Word] Bill of Materials [PDF] [Excel]

Software Documentation

Control HierarchyDemo [Flash/Shockwave]  
Database Issues & Solutions [Word] Organization [Word]

Posters

Internal House ModelJune 5, 2007 [PDF]
Goal Seeking & OptimizationsJune 5, 2007 [PDF]
Characterizing California HousesJune 5, 2007 [PDF]
Design of a Residential ThermostatMar. 2007 [PDF]
Hardware DevelopmentJune 6, 2006 [PDF]
Social Dimensions of DRJune 6, 2006 [PDF]
Control Structure & LearningJune 6, 2006 [PDF]
MZEST June 6, 2006 [PDF]
SimulationJune 2, 2005 [PDF] [PowerPoint]
Thermostat InterfaceJune 2, 2005 [PDF] [PowerPoint]
Control StrategyJune 2, 2005 [PDF]
DRET: Control Strategy & InterfaceNov. 2004 [PDF] [PowerPoint]
New Thermostat Control SimulationOct. 18, 2004 [PDF] [PowerPoint]
DRET: New ThermostatJune 10, 2004 [PDF] [PowerPoint]

Meeting Presentations

June 2007 TAC Meeting[PDF] [PowerPoint]
Dec. 2005 TAC Meeting[PDF] [PowerPoint]
Sept. 2005 TAC Meeting[PDF] [PowerPoint]
June 2005 CEC Meeting[PDF] [PowerPoint]

Reports and Theses

DRETD Phase I ReportJune 2003 - Nov. 2005 DRETD group[PDF]
Distributed Sensing and Controlling of Residential HVAC SystemsFall 2006 Anna LaRue[PDF]

Spring 2007 DR Seminars

Characterizing California HousesApr. 23, 2007 Kyle Konis[PDF] [PowerPoint]
House Identification and LearningApr. 16, 2007 Jaehwi Jang[PDF] [PowerPoint]
The Interaction of Policy, Technology, and ConsumersApr. 9, 2007 Therese Peffer[PDF] [PowerPoint]
Optimization on DR-Enabled Thermostat ControlFeb. 2, 2007 Xue Chen[PDF] [PowerPoint]

 

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