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SummaryThe widespread adoption of demand response (DR) enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information received from the utility grid, often in the form of price or grid status. However due to a number of factors, including the number of DR-enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences.This report is the second in a series of three reports describing the potential of GE's DRenabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation.In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored. Specifically, historical market data from NYISO and PJM in 2006 were used to estimate the savings available to consumers and/or utilities by engaging demand response capabilities in HVAC systems, water heaters, clothes dryers and washers, dishwashers, refrigerators, freezers, miscellaneous light and plug loads, and cooktop range and ovens. While prices were marginally higher in 2006 than current prices, these were openly available, complete data sets and are used to provide a general indication of the value of smart appliances within a structured market.Historical data from the End-Use Load and Consumer Assessment Program (ELCAP) and current U.S. energy usage by appliance was used to create seasonal, hourly load shapes for an average single family household. The appliance load shapes are available in Appendix B. These were applied against the 2006 NYISO and PJM wholesale energy markets. Estimates were made on the peak shifting capability of each appliance to respond to a TOU/CPP signal designed to significantly shift peak load for six hours on the 15 highest energy c...