Opportunity Information: Apply for DE FOA 0002174
Generating Electricity Managed by Intelligent Nuclear Assets (GEMINA) is a funding opportunity run by the U.S. Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E). ARPA-E exists to push forward high-impact energy technologies that are still too early for most private investment, with the broader national goals of improving U.S. energy and economic security, cutting energy-related emissions (including greenhouse gases), reducing dependence on foreign energy imports, and improving energy efficiency across the economy. Awards under this opportunity are made under DOE and federal financial assistance rules (including 2 CFR 200 and related DOE provisions), and proposals must be submitted through ARPA-E's online system (eXCHANGE) rather than by email or other channels.
At its core, GEMINA is about making advanced nuclear reactors cheaper and easier to operate by designing operations and maintenance (O&M) into the technology from the beginning rather than bolting it on later. ARPA-E is responding to a real economic problem in nuclear power: today's operating light-water reactors often carry high fixed O&M costs, and large conventional reactor construction projects in the U.S. and Western Europe have frequently experienced major schedule delays and cost overruns. Meanwhile, many pathways to deep decarbonization assume the grid will need "firm" low-carbon power that can run regardless of weather, and nuclear power is a leading candidate. Advanced reactors are attractive because they can potentially offer more flexible operations, different power output ranges, improved safety cases, high-temperature heat for industrial uses, and (depending on the design) lower capital costs and shorter build schedules. GEMINA's premise is that advanced reactors will only succeed at scale if their long-term operating model is competitive, including staffing levels and routine maintenance costs.
The central technical thrust of GEMINA is the development of digital twins (DTs), or closely equivalent platforms, for advanced reactor designs. In this program, a digital twin is not just a static model; it is intended to be a living, integrated digital representation of the plant that can support real operational decision-making and maintenance planning. ARPA-E is explicitly looking for interdisciplinary teams to combine tools that have driven efficiency in other industries but have not been widely adopted in nuclear operations, including artificial intelligence and machine learning, advanced data analytics, distributed computing, high-fidelity physics-based simulation, advanced control systems, predictive maintenance approaches, and model-based fault detection and diagnostics. The idea is to use these tools to anticipate failures before they happen, reduce unnecessary maintenance, shorten outages, improve reliability, and reduce how much manual operator intervention is required during both normal and off-normal conditions.
Because many advanced reactor concepts are still in design or pre-deployment phases and do not yet have operating commercial units that can generate large volumes of real plant data, GEMINA also emphasizes cyber-physical systems (CPS) as a practical testbed. Teams working on core plant operations are expected to build CPS environments that emulate plant operating dynamics using a mix of software and non-nuclear experimental facilities such as flow loops and other relevant test infrastructure. These CPS platforms act as the "real asset" surrogate where teams can stress-test their digital twin software and O&M concepts, validate models, and generate data in regimes where uncertainties are high or where direct experimentation on an actual reactor is not possible. For work that focuses on systems outside the reactor core, teams are encouraged to propose appropriate test systems and data sources that still allow credible validation of the O&M approach.
Beyond lowering O&M costs, ARPA-E frames GEMINA as enabling several knock-on benefits that matter for commercialization. One is design feedback: since many advanced reactor designs are still evolving, insights from a digital-twin-driven O&M strategy can feed back into the engineering process to simplify maintenance, eliminate unnecessary procedures, improve reliability, and enhance operational flexibility over an expected multi-decade plant life (the document references long-life systems on the order of 40 years). Another is regulatory efficiency: more realistic simulated operations and better understanding of reactor behavior could strengthen the technical basis regulators use to evaluate advanced designs, potentially reducing licensing timelines and associated costs. A third is market de-risking: current O&M cost estimates for advanced reactors often lean on light-water reactor analogies even though advanced concepts may use different coolants, fuels, materials, and temperature ranges. By generating reactor-specific operational data and credible cost models, GEMINA aims to improve levelized cost of electricity (LCOE) projections and help utilities and investors make better-informed decisions, while also highlighting supply chain needs for scale-up.
GEMINA also points to standards and workforce impacts. Compliance with nuclear quality and assurance standards (such as NQA-1) can be a major cost driver, and ARPA-E suggests that program outputs could inform more technically grounded and risk-based standards tailored to advanced reactors, reducing uncertainty and rework later. In parallel, the digital twin environments developed through GEMINA could become training and simulation platforms for future operator instruction and for supporting regulator certification processes as these reactors approach deployment.
Administratively, the opportunity (Funding Opportunity Number DE-FOA-0002174) was issued by ARPA-E within DOE under CFDA 81.135. It allowed for cooperative agreements and grants, and eligibility was described as unrestricted (open to any type of entity, subject to any clarifications in the full FOA). The FOA listed an award ceiling of $10,000,000 and anticipated roughly 15 awards. Key dates in the posted record include a creation date of October 2, 2019 and an original closing date of November 13, 2019, with applicants encouraged to submit at least 48 hours before the deadline. The full FOA, requirements, and submission process were provided through ARPA-E's eXCHANGE portal.Apply for DE FOA 0002174
- The Department of Energy, Advanced Research Projects Agency Energy in the science and technology and other research and development sector is offering a public funding opportunity titled "Generating Electricty Managed by Intelligent Nuclear Assets (GEMINA)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.135.
- This funding opportunity was created on Oct 02, 2019.
- Applicants must submit their applications by Nov 13, 2019 Applicants are strongly encouraged to submit their applications at least 48 hours in advance of the submission deadline. (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 $10,000,000.00 in funding.
- The number of recipients for this funding is limited to 15 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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GEMINA (DE-FOA-0002174) Grant Opportunity FAQs
1) What is GEMINA?
Generating Electricity Managed by Intelligent Nuclear Assets (GEMINA) is a U.S. Department of Energy (DOE) funding opportunity run by the Advanced Research Projects Agency-Energy (ARPA-E). The program focuses on making advanced nuclear reactors cheaper and easier to operate by designing operations and maintenance (O&M) into the technology from the beginning, supported by digital tools like digital twins.
2) Which agency is offering this funding?
The opportunity is offered by ARPA-E, which sits within the U.S. Department of Energy (DOE).
3) What is ARPA-E trying to accomplish in general?
ARPA-E funds high-impact energy technologies that are still too early for most private investment. Its broader national goals include improving U.S. energy and economic security, cutting energy-related emissions (including greenhouse gases), reducing dependence on foreign energy imports, and improving energy efficiency across the economy.
4) What problem is GEMINA trying to solve for nuclear power?
GEMINA targets the economic challenge that nuclear plants can have high fixed O&M costs, and that large conventional reactor construction projects (particularly in the U.S. and Western Europe) have often seen schedule delays and cost overruns. The program is built around the idea that advanced reactors will only succeed at scale if their long-term operating model is competitive, including staffing and routine maintenance costs.
5) What types of reactors does GEMINA focus on?
GEMINA is aimed at advanced nuclear reactor designs, especially concepts that are still in design or pre-deployment phases and do not yet have operating commercial units producing large volumes of real plant data.
6) Why does GEMINA emphasize "firm" low-carbon power?
The program notes that many deep decarbonization pathways assume the electric grid will need firm low-carbon power that can run regardless of weather. Nuclear power is framed as a leading candidate to provide that firm power.
7) What is the central technical thrust of GEMINA?
The core technical focus is developing digital twins (DTs), or closely equivalent platforms, for advanced reactor designs. In GEMINA, a digital twin is intended to be a living, integrated digital representation of the plant that supports operational decision-making and maintenance planning, not just a static model.
8) How does GEMINA define a digital twin in this context?
Within GEMINA, a digital twin is described as an integrated, continuously useful digital representation of the plant that can be used for real operational decisions and O&M planning. It is meant to support actions like anticipating failures, optimizing maintenance timing, and improving operational reliability.
9) What technical approaches and tools does GEMINA want teams to combine?
GEMINA explicitly calls for interdisciplinary teams that combine tools that have improved efficiency in other industries but have not been widely adopted in nuclear operations. Examples mentioned include artificial intelligence and machine learning, advanced data analytics, distributed computing, high-fidelity physics-based simulation, advanced control systems, predictive maintenance approaches, and model-based fault detection and diagnostics.
10) What outcomes is GEMINA trying to achieve for operations and maintenance?
The program aims to anticipate failures before they happen, reduce unnecessary maintenance, shorten outages, improve reliability, and reduce how much manual operator intervention is needed during both normal and off-normal conditions.
11) What is a cyber-physical system (CPS) and why does GEMINA emphasize it?
Because many advanced reactor concepts lack operating commercial units that generate large datasets, GEMINA emphasizes cyber-physical systems (CPS) as a practical testbed. CPS environments emulate plant operating dynamics using a mix of software and non-nuclear experimental facilities (such as flow loops and other relevant test infrastructure), allowing teams to validate models, stress-test digital twin software, and generate data where direct experimentation on an actual reactor is not possible.
12) Are CPS platforms required for all teams?
The opportunity states that teams working on core plant operations are expected to build CPS environments that emulate plant operating dynamics. For work focusing on systems outside the reactor core, teams are encouraged to propose appropriate test systems and data sources that still allow credible validation of the O&M approach.
13) What kinds of facilities can be used for CPS testbeds?
The description references non-nuclear experimental facilities such as flow loops and other relevant test infrastructure, paired with software-based emulation, to represent the behavior of the plant and support testing and validation.
14) How is GEMINA connected to reactor commercialization?
ARPA-E frames GEMINA as enabling commercialization by lowering O&M costs and providing additional benefits such as design feedback (improving maintainability and flexibility), potential regulatory efficiency (stronger technical basis via more realistic simulated operations), and market de-risking (better reactor-specific operational data and cost models).
15) What is meant by "design feedback" in GEMINA?
The program notes that many advanced reactor designs are still evolving. Insights from a digital-twin-driven O&M strategy can feed back into engineering to simplify maintenance, eliminate unnecessary procedures, improve reliability, and enhance operational flexibility over a multi-decade plant life (the document references long-life systems on the order of 40 years).
16) How does GEMINA relate to nuclear regulation and licensing?
GEMINA suggests that more realistic simulated operations and a better understanding of reactor behavior could strengthen the technical basis regulators use to evaluate advanced designs, potentially reducing licensing timelines and associated costs.
17) What does GEMINA mean by "market de-risking"?
ARPA-E points out that O&M cost estimates for advanced reactors often rely on light-water reactor analogies even though advanced concepts may use different coolants, fuels, materials, and temperature ranges. By generating reactor-specific operational data and credible cost models, GEMINA aims to improve levelized cost of electricity (LCOE) projections and help utilities and investors make more informed decisions, while also highlighting supply chain needs for scale-up.
18) Does the opportunity mention nuclear quality standards like NQA-1?
Yes. The description notes that compliance with nuclear quality and assurance standards (such as NQA-1) can be a major cost driver, and that program outputs could inform more technically grounded and risk-based standards tailored to advanced reactors, reducing uncertainty and later rework.
19) Does GEMINA address workforce training?
Yes. The program notes that digital twin environments could become training and simulation platforms for future operator instruction and could support regulator certification processes as advanced reactors approach deployment.
20) What types of funding instruments are used for awards?
The posted record indicates the opportunity allowed for cooperative agreements and grants.
21) What is the Funding Opportunity Number (FOA number)?
The Funding Opportunity Number listed is DE-FOA-0002174.
22) What CFDA number is associated with this opportunity?
The opportunity is associated with CFDA 81.135.
23) Who is eligible to apply?
Eligibility is described as unrestricted (open to any type of entity), subject to any clarifications in the full FOA.
24) What are the key award amount details in the posted record?
The FOA listed an award ceiling of $10,000,000 and anticipated roughly 15 awards.
25) What rules govern awards under this opportunity?
Awards are made under DOE and federal financial assistance rules, including 2 CFR 200 and related DOE provisions.
26) How must proposals be submitted?
Proposals must be submitted through ARPA-E's online system (eXCHANGE). The description indicates proposals should not be submitted by email or other channels.
27) Where are the full FOA requirements and submission instructions found?
The full FOA, requirements, and the submission process were provided through ARPA-E's eXCHANGE portal.
28) What dates are shown in the posted record?
The posted record includes a creation date of October 2, 2019 and an original closing date of November 13, 2019.
29) Was there any submission timing guidance?
Yes. Applicants were encouraged to submit at least 48 hours before the deadline.
30) Does GEMINA require real operating reactor data?
The description recognizes that many advanced reactor concepts do not yet have operating commercial units that generate large volumes of real plant data. That is one reason GEMINA emphasizes CPS testbeds and emulation environments to generate data and validate models.
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