Residential

Home Network Technologies and Automating Demand Response

Project Status: 
Completed
Date Range: 
Completed in 2008

An in-depth summary of home automation technologies suitable for use in conjunction with the design of residential demand-side energy management systems is provided. Performance characteristics of pertinent home automation networks as well as their current deployment and market potential are evaluated in order to provide a basis to inform the design of data protocols used in implementing residential energy management systems.

Contacts: 

Residential Demand Response - Information Controls - Phase II

Project Status: 
Completed
Date Range: 
Completed in 2011

 Conduct a residential efficiency and demand response field study that incorporates information and controls technologies along with load control and dynamic pricing tariff options.

Additional Contacts

Karen Herter

Residential Demand Response Scoping Study

Project Status: 
Completed
Date Range: 
Completed in 2006

The primary goals of this scoping study were to (1) summarize existing methods for estimating demand response, (2) evaluate these methods' abilities to accurately estimate residential demand response for the purpose of program evaluation, (3) recommend a preferred approach, and (4) outline any remaining knowledge gaps. This study was motivated by the CPUC directive (D.05-11-009) of developing measurement and evaluation protocols for demand response. Our evaluation considered both day-matching and regression techniques, outlining the following alternative methods: (1) prior-day averaging, (2) weather-matching techniques, (3) regression-based load profile comparison, and (4) econometric demand analysis. Based on a review of these methods for evaluating demand response, we found that customer-specific regression analysis is likely to give accurate, transparent and intuitive results. Depending on program requirements, this method can be modified to estimate hourly demand response before, during and after events, providing hourly kW response results and load profiles. Beyond basic demand response estimation, the ability to evaluate multiple events on consecutive days, an understanding of how advance notification affects demand response, and incorporation of considerations affecting the extrapolation of results from a voluntary pilot to a large-scale program are needed to be addressed.

Additional Contacts

C.K. Woo, Energy and Environmental Economics, Inc.
Karen Herter, LBNL

Residential Thermostats: Comfort Controls in California Homes

Project Status: 
Completed
Date Range: 
Completed in 2008

This scoping study identifies key thermostat performance issues with regards to energy savings, peak demand and demand response. A research plan was developed to address these issues.

Additional Contacts

Alan Meier, LBNL
Iain Walker, LBNL