Closed · DE-FOA-0002115 · CFDA 81.135 · Discretionary
RFI - Advanced Nuclear Reactors
Federal grant opportunity posted by Advanced Research Projects Agency Energy, cataloged on Grants.gov.
- $1-$1
- Award range
- Closed
- Status
- April 25, 2019
- Close date
- 1
- Expected awards
The verdict
RFI - Advanced Nuclear Reactors is a closed discretionary listing from Advanced Research Projects Agency Energy that offered $1 -- $1 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 183 other opportunities from Advanced Research Projects Agency Energy.
- $1-$1
- award range
- Closed
- application status
- 1
- expected award
- 81.135
- CFDA program
Archived opportunity record
RFI - Advanced Nuclear Reactors is closed (last close April 25, 2019). The parent program page for CFDA 81.135 is the reliable place to catch re-announcements. Advanced Research Projects Agency Energy still indexes 183 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed April 25, 2019
Est. Total Funding
$1
Expected Awards
1
Instrument
Grant
Description
Request for Information - Advanced Nuclear Reactors This is a Request for Information only. This RFI is not accepting applications for financial assistance. The purpose of this RFI is solely to solicit input for ARPA-E consideration to inform the possible formulation of future programs. ARPA-E is seeking information from diverse industries about technologies that could enable advanced nuclear reactors to achieve operating cost profiles that approximate those of natural gas combined cycle plants. This entails reducing operating costs per megawatt of electricity (MWe) at nuclear power plants by more than one order of magnitude. Attaining this vision requires semi-autonomous nuclear power plant operations, a radical departure from traditional nuclear power plant operations. Because autonomy is so unconventional for the nuclear sector, attacking the problem requires operational technologies and controls strategies that have limited or no technical precedent in the nuclear community. For this reason, ARPA-E is especially interested in perspectives from outside the traditional nuclear energy space. Today’s nuclear plants are mostly conventional light water reactors (LWRs). Their continued viability in the U.S. electricity mix is challenged in part by high operational and maintenance (O&M) costs compared to other electricity generation types. The higher costs stem largely from the high staffing level required for nuclear power plant operation, maintenance, safety, and security. Advanced nuclear reactor systems that are anticipated to comprise the next generation of new reactor builds are likely to face costs that are similar to LWRs, should they not pursue new approaches to O&M. High O&M costs might be especially burdensome for small modular reactors (SMRs) and microreactors, which do not have the benefit of economy of scale. Much greater focus on achieving a radical reduction of O&M costs will likely prove necessary to assure the competitiveness of advanced nuclear systems. Therefore, approaches in predictive maintenance, autonomous maintenance, fault detection and isolation algorithms, novel sensor systems, data analytics, dynamics modeling, and advanced control systems are of interest. Also of interest are advanced modeling and simulators that allow exploration of a full range of potential data streams, and can help identify/evaluate the most relevant control algorithms and sensor needs. Finally, test loops and experimental facilities that can be leveraged to investigate and validate approaches for autonomous controls, operations, and maintenance are of interest. Please carefully review the REQUEST FOR INFORMATION GUIDELINES below. Please note, in particular, that the information you provide will be used by ARPA-E solely for program planning, without attribution. THIS IS A REQUEST FOR INFORMATION ONLY. THIS NOTICE DOES NOT CONSTITUTE A FUNDING OPPORTUNITY ANNOUNCEMENT (FOA). NO FOA EXISTS AT THIS TIME.
Catch-all / unrestricted eligibility mark · DE-FOA-0002115
Grants.gov marks RFI - Advanced Nuclear Reactors with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Advanced Research Projects Agency Energy book (138 peers, 75% of 184).
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Environmental Cleanup
U.S. Department of Energy
Agency Contact
ARPA-E CO arpa-e-co@hq.doe.gov
More from Advanced Research Projects Agency Energy
What to do next
RFI - Advanced Nuclear Reactors is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 81.135 may publish future NOFOs under the same assistance listing. Open program
- Environmental Cleanup indexes 2 Grants.gov listings in this extract. Program profile
- Advanced Research Projects Agency Energy lists 183 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
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.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |