Request for Information: Energy Savings Prediction Methods for Residential Energy Efficiency Upgrades

The summary for the Request for Information: Energy Savings Prediction Methods for Residential Energy Efficiency Upgrades grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the Golden Field Office, which is the U.S. government agency offering this grant.

Request for Information: Energy Savings Prediction Methods for Residential Energy Efficiency Upgrades: The purpose of this modification is update the submission deadline to 05:00 PM EDT on February 21, 2016.

All other terms remain the same.

DE-FOA-0001472: Request for Information: Energy Savings Prediction Methods for Residential Energy Efficiency Upgrades

The United States (U.S.) Department of Energy (DOE), Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (BTO) is seeking information from the public regarding methods to improve methodologies used to assess the energy savings resulting from energy efficiency upgrades. In particular, BTO is interested in the current state-of-the-art of savings prediction methods, forthcoming advances that could improve the accuracy and/or reduce the costs of prediction methods, and the potential market implications of improved savings prediction methods. At the same time, BTO is interested in the role of user-training, contractor certification, better in-field practices, and other factors to improve the accuracy of energy saving calculations.

The purpose of this Request for Information (RFI) is to solicit feedback from industry, academia, research laboratories, government agencies, and other stakeholders on how to improve savings prediction methods for residential energy efficiency upgrades. BTO is interested in information on the current state-of-the-art of savings prediction methods, forthcoming advances that could improve the accuracy and/or reduce the costs of prediction methods, and the potential market implications of improved savings prediction methods. However, BTO is also interested in other factors that may influence the accuracy of modelled predictions such as improved field guidance, technician training and certification, or benchmarked models to a nationally accepted DOE prediction model such as EnergyPlus. In all cases, BTO is interested in likely costs incurred for each recommendation. Also, BTO is interested in developing alternative approaches that may now be possible with advancements in data collection and manipulation that could significantly reduce audit cost and homeowner inconvenience. Lastly, BTO is interested in the trade-off between cost and accuracy of all suggested approaches. This information will be used by BTO for strategic planning of the BTO research & development (R&D) portfolio. This is solely a request for information and not a Funding Opportunity Announcement (FOA). EERE is not accepting applications for research on this topic at this time.

This RFI is not a Funding Opportunity Announcement (FOA); therefore, DOE is not accepting applications at this time. All responses to this RFI must be provided as an attachment (Microsoft Word, .docx) to an e-mail message addressed to [email protected]. Responses must be received no later than 05:00 PM EDT on February 21, 2016. Only electronic responses will be accepted.