Opportunity Information: Apply for DE FOA 0001472
The U.S. Department of Energy (DOE), through the Energy Efficiency and Renewable Energy (EERE) Building Technologies Office (BTO), issued a Request for Information (RFI) under opportunity number DE-FOA-0001472 focused on improving how energy savings are predicted for residential energy efficiency upgrades. The central aim is to gather practical, experience-based input on the methods used to estimate savings from home energy retrofits and to understand where those methods fall short today. This notice is a modification that primarily updates the submission deadline; the deadline for sending responses is 5:00 PM Eastern on February 21, 2016, and the rest of the opportunity remains unchanged.
BTO is asking stakeholders to describe the current state of the art in savings prediction and to identify near-term and emerging advances that could either improve prediction accuracy or lower the cost of producing reliable estimates. Alongside technical modeling improvements, DOE is also looking for information about non-model drivers of accuracy, such as better field guidance, stronger in-field practices, technician training, and contractor certification. In other words, the RFI is not only about better algorithms or tools, but also about the real-world workflow around audits and retrofit execution that can cause predicted savings to diverge from actual results.
A major theme running through the request is cost versus accuracy. DOE explicitly wants respondents to discuss the likely costs associated with any recommended approach, including tools, data collection, labor, training, quality assurance, and ongoing maintenance. They are also interested in alternative approaches made possible by improved data collection and data processing, particularly approaches that could reduce the cost of audits and minimize disruption or inconvenience for homeowners. Examples of the kinds of considerations implied by the RFI include how to take advantage of new data streams, how to streamline home assessments, and how to balance simplified methods against more detailed simulations.
DOE is also interested in methods that tie, benchmark, or align modeling approaches to nationally accepted tools, with EnergyPlus cited as an example of a DOE prediction model. The request seeks insight into how standardized baselines, calibration practices, or benchmarking could improve trust and comparability across programs, contractors, or regions, and what practical steps would be required for broader adoption.
This opportunity is strictly an information-gathering request for strategic planning purposes and does not provide funding. It is not a Funding Opportunity Announcement (FOA), DOE is not accepting applications, and no awards are expected. The information collected will be used to inform BTO planning for its research and development portfolio related to residential energy savings prediction and associated market impacts.
Responses are open to essentially any stakeholder (eligible applicants are unrestricted), including industry, universities, national labs, government agencies, and other interested parties. Submissions must be sent electronically by email to ResEnergySavingsRFI@ee.doe.gov, attached as a Microsoft Word document (.docx), and received by 5:00 PM EDT on February 21, 2016. Only electronic submissions are accepted. The opportunity is associated with CFDA number 81.086, lists the Golden Field Office as the agency, and is categorized under energy with a discretionary/other instrument type, reflecting that it is an RFI rather than a grant competition.Apply for DE FOA 0001472
- The Golden Field Office in the energy sector is offering a public funding opportunity titled "Request for Information: Energy Savings Prediction Methods for Residential Energy Efficiency Upgrades" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.086.
- This funding opportunity was created on 2015-12-16.
- Applicants must submit their applications by 2016-02-21. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $2.00 in funding.
- Eligible applicants include: Unrestricted.
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FAQs: DOE EERE BTO Request for Information (RFI) DE-FOA-0001472
What is this opportunity?
This is a Request for Information (RFI) issued by the U.S. Department of Energy (DOE) through the Energy Efficiency and Renewable Energy (EERE) Building Technologies Office (BTO). It is identified as opportunity number DE-FOA-0001472 and focuses on improving how energy savings are predicted for residential energy efficiency upgrades.
Is this a grant or a funding opportunity?
No. This is strictly an information-gathering request for strategic planning purposes. It is not a Funding Opportunity Announcement (FOA), DOE is not accepting applications, and no awards are expected.
What is DOE trying to learn from responses?
DOE is seeking practical, experience-based input on current methods used to estimate energy savings from home energy retrofits, where those methods fall short, and what near-term or emerging advances could improve prediction accuracy or reduce the cost of producing reliable savings estimates.
What kinds of topics does DOE want addressed?
DOE is asking for input on both technical and non-technical drivers that affect savings prediction, including current modeling approaches, potential improvements in prediction methods, and real-world factors that influence whether predicted savings match actual outcomes.
Is DOE only asking about modeling and software tools?
No. In addition to modeling improvements, DOE is also interested in non-model drivers of accuracy such as better field guidance, stronger in-field practices, technician training, contractor certification, and workflow issues in audits and retrofit execution that can cause predicted savings to differ from real results.
Why does the RFI emphasize cost versus accuracy?
A major theme is balancing the accuracy of savings predictions with the cost of generating those predictions. DOE explicitly asks respondents to discuss the likely costs of recommended approaches, including tools, data collection, labor, training, quality assurance, and ongoing maintenance.
What cost elements should respondents consider discussing?
DOE is interested in costs tied to tools, data collection, labor, training, quality assurance, and ongoing maintenance associated with any approach recommended for improving residential energy savings prediction.
Is DOE interested in new data and data processing approaches?
Yes. DOE is interested in alternative approaches enabled by improved data collection and data processing, particularly approaches that could reduce the cost of audits and minimize disruption or inconvenience for homeowners.
Does the RFI mention standardized models or national benchmarks?
Yes. DOE is interested in methods that tie, benchmark, or align modeling approaches to nationally accepted tools. EnergyPlus is cited as an example of a DOE prediction model.
What does DOE mean by aligning to nationally accepted tools?
Based on the RFI description, DOE is seeking insight into how standardized baselines, calibration practices, or benchmarking could improve trust and comparability of savings predictions across programs, contractors, or regions, and what practical steps would be required for broader adoption.
What will DOE do with the information submitted?
The information collected will be used to inform BTO planning for its research and development portfolio related to residential energy savings prediction and associated market impacts.
Who is allowed to submit an RFI response?
Responses are open to essentially any stakeholder because eligible applicants are unrestricted. Examples include industry, universities, national laboratories, government agencies, and other interested parties.
How do responses have to be submitted?
Submissions must be sent electronically by email to ResEnergySavingsRFI@ee.doe.gov.
What file format is required for the submission?
The response must be attached as a Microsoft Word document (.docx).
Are paper or mailed submissions accepted?
No. Only electronic submissions are accepted.
What is the submission deadline?
Responses must be received by 5:00 PM Eastern (EDT) on February 21, 2016.
What changed in this notice modification?
This notice is a modification that primarily updates the submission deadline. The rest of the opportunity remains unchanged.
Which DOE office is associated with this opportunity?
The opportunity is issued through DOE EERE's Building Technologies Office (BTO) and lists the Golden Field Office as the agency associated with the opportunity.
What is the CFDA number listed for this opportunity?
The opportunity is associated with CFDA number 81.086.
How is this opportunity categorized?
It is categorized under energy and uses a discretionary/other instrument type, reflecting that it is an RFI rather than a grant competition.
Does submitting a response result in an award or funding?
No. DOE is not accepting applications and no awards are expected because this is an RFI intended to gather input for planning and strategy.
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