Closed DE-FOA-0002596 CFDA 81.057 Discretionary

University Training and Research for Fossil Energy and Carbon Management - UCR

Posted by National Energy Technology Laboratory

Opportunity snapshot. This Grants.gov announcement — University Training and Research for Fossil Energy and Carbon Management - UCR — is cataloged under number DE-FOA-0002596 and tied to CFDA assistance listing 81.057, posted by National Energy Technology Laboratory. Grants.gov currently shows the opportunity as closed, first posted on February 17, 2022 and last updated on August 11, 2022. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is $1 -- $750,000. The agency has projected $5.9 million in total estimated funding for this announcement. It expects to issue 10 awards. If the agency funds the expected 10 awards from the $5.9 million estimated pool, the average award works out to roughly $591,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity closed on August 25, 2022. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully — federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed — it helps clarify scope and scoring priorities.

Award Range

$1 -- $750,000

Close Date

August 25, 2022

Posted

February 17, 2022

Est. Total Funding

$5,906,000

Expected Awards

10

Instrument

Grant

Description

University Training and Research for Fossil Energy and Carbon Management - UCR. This Funding Opportunity Announcement is to solicit and award research and development grants to educate and train the next generation of engineers and scientists by supporting novel, early-stage research at U.S. colleges and universities.

Eligibility

06;20

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Maureen B. Davison 412-386-5163 <br/>Maureen.Davison@NETL.DOE.GOV

Key Dates

Posted February 17, 2022
Close Date August 25, 2022
Last Updated August 11, 2022

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "University Training and Research for Fossil Energy and Carbon Management - UCR", offered by National Energy Technology Laboratory. It is associated with CFDA program 81.057. University Training and Research for Fossil Energy and Carbon Management - UCR. This Funding Opportunity Announcement is to solicit and award research and development grants to educate and train the n...
Is this opportunity still open?
No, this opportunity is closed. It closed on August 25, 2022. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is $1 -- $750,000. Total estimated funding: $5,906,000. Expected number of awards: 10.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

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Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainGrants Editorial