This presentation includes examples of 16 programs' creative marketing materials. The Better Buildings Residential Network held a March Madness tournament to find the most creative residential energy efficiency messages during March Peer Exchange Calls. Sixteen marketing campaigns were featured in a bracket challenge on the calls, and participants made their picks. Residential Network member the Fuel Fund of Maryland was chosen as the winning message for its Watt Watchers campaign.
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This Guide is designed to help state and local policymakers to take full advantage of new policy developments by providing them with a comprehensive set of tools to support launching or accelerating residential energy efficiency programs. The Guide focuses on four categories of policies that have proven particularly effective in providing a framework within which residential energy efficiency programs can thrive: incentives and financing, making the value of energy efficiency visible in the real estate market, data access and standardization, and supporting utility system procurement of energy efficiency.
This summary from a Better Buildings Residential Network peer exchange call focused on changing an organization's home performance business model and expanding the services offered.
There are more than 17 million multifamily households nationwide, yet they remain a significant and mostly untapped opportunity for energy efficiency gains. Many cities and states that have embraced energy retrofitting as a job creator and boon to both the environment and economy have yet to address potential savings in multifamily properties, primarily because of obstacles not faced by single family and commercial properties. This paper discusses two barriers -- a lack of information and financing -- that stand in the way of multifamily energy retrofits.
This paper, which is based on detailed case studies of nine existing state and local programs, presents recommendations for energy upgrade programs to facilitate industry growth and support contractor business models.