Manufacturing Extension Partnership (MEP) Competitive Awards Program (CAP)

Graduate Student Measurement Science and Engineering (GMSE) Fellowship Program is sponsored by National Institute of Standards and Technology (NIST). NIST's GMSE Program offers funded research opportunities for graduate and doctoral students from diverse backgrounds to gain hands-on experience in NIST's world-class laboratories. The program aims to further studies in fields related to measurement science and engineering.

NOFO Number: DE-FOA-0003630 - Unlocking New Levels of Output and Capacity for Key Subsurface Resources (UNLOCK) To obtain a copy of the Notice of Funding Opportunity (NOFO) please go to DOE eXCHANGE at https://exchange.energy.gov/. To apply to this NOFO, Applicants must register with and submit application materials through DOE eXCHANGE (https://exchange.energy.gov/Registration.aspx). For detailed guidance on using DOE eXCHANGE, please refer to the DOE eXCHANGE User Guide (https://exchange.energy.gov/Manuals.aspx). ARPA-E will not review or consider application materials submitted through other means. For problems with DOE eXCHANGE, email ExchangeHelp@hq.doe.gov (with NOFO name and number in the subject line). Questions about this NOFO? Check the Frequently Asked Questions available at http://arpa-e.energy.gov/faq. For questions that have not already been answered, email ARPA-E-CO@hq.doe.gov. Agency Overview: The Advanced Research Projects Agency – Energy (ARPA-E), an organization within the Department of Energy (DOE), is chartered by Congress in the America COMPETES Act of 2007 (P.L. 110-69), as amended by the America COMPETES Reauthorization Act of 2010 (P.L. 111-358), as further amended by the Energy Act of 2020 (P.L. 116-260). ARPA-E issues this Notice of Funding Opportunity (NOFO) under its authorizing statute codified at 42 U.S.C. § 16538. The NOFO and any cooperative agreements or grants made under this NOFO are subject to 2 C.F.R. Part 200 as supplemented by 2 C.F.R. Part 910. ARPA-E funds research on, and the development of, transformative science and technology solutions to address the energy and environmental missions of the Department. The agency focuses on technologies that can be meaningfully advanced with a modest investment over a defined period of time in order to catalyze the translation from scientific discovery to early-stage technology. For the latest news and information about ARPA-E, its programs and the research projects currently supported, see: http://arpa-e.energy.gov/. ARPA-E funds transformational research. Existing energy technologies generally progress on established “learning curves” where refinements to a technology and the economies of scale that accrue as manufacturing and distribution develop drive improvements to the cost/performance metric in a gradual fashion. This continual improvement of a technology is important to its increased commercial deployment and is appropriately the focus of the private sector or the applied technology offices within DOE. In contrast, ARPA-E supports transformative research that has the potential to create fundamentally new learning curves. ARPA-E technology projects typically start with cost/performance estimates well above the level of an incumbent technology. Given the high risk inherent in these projects, many will fail to progress, but some may succeed in generating a new learning curve with a projected cost/performance metric that is significantly better than that of the incumbent technology. ARPA-E will provide support at the highest funding level only for submissions with significant technology risk, aggressive timetables, and careful management and mitigation of the associated risks. ARPA-E funds technology with the potential to be disruptive in the marketplace. The mere creation of a new learning curve does not ensure market penetration. Rather, the ultimate value of a technology is determined by the marketplace, and impactful technologies ultimately become disruptive – that is, they are widely adopted and displace existing technologies from the marketplace or create entirely new markets. ARPA-E understands that definitive proof of market disruption takes time, particularly for energy technologies. Therefore, ARPA-E funds the development of technologies that, if technically successful, have clear disruptive potential, e.g., by demonstrating capability for manufacturing at competitive cost and deployment at scale. ARPA-E funds applied research and development (R&D). The Office of Management and Budget defines “applied research” as an “original investigation undertaken in order to acquire new knowledge…directed primarily towards a specific practical aim or objective” and defines “experimental development” as “creative and systematic work, drawing on knowledge gained from research and practical experience, which is directed at producing new products or processes or improving existing products or processes.” Applicants interested in receiving financial assistance for basic research (defined by the Office of Management and Budget as “experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts”) should contact the DOE’s Office of Science (http://science.energy.gov/). Office of Science national scientific user facilities (http://science.energy.gov/user-facilities/) are open to all researchers, including ARPA-E Applicants and awardees. These facilities provide advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and the atmosphere. Projects focused on early-stage R&D for the improvement of technology along defined roadmaps may be more appropriate for support through the DOE applied energy offices including: the Office of Critical Minerals and Energy Innovation (CMEI) (https://www.energy.gov/cmei/office-critical-minerals-and-energy-innovation), the Hydrogen and Geothermal Energy Office (https://www.energy.gov/hgeo/hydrocarbons-and-geothermal-energy-office), the Office of Nuclear Energy (http://www.energy.gov/ne/office-nuclear-energy), and the Office of Electricity (https://www.energy.gov/oe/office-electricity). ARPA-E encourages submissions stemming from ideas that still require proof-of-concept R&D efforts as well as those for which some proof-of-concept demonstration already exists. Submissions can propose a project with the end deliverable being an extremely creative, but partial solution. Program Overview: 1. Background and Motivation Subsurface resources, including oil, gas, geothermal, and mineral systems, underpin modern energy security, industrial productivity, and economic competitiveness. However, substantial technical hurdles related to the extraction of these resources limit their full potential, especially within geologically complex formations characterized by low matrix permeability and inefficient resource mobility. Oil and Gas The combination of horizontal drilling and hydraulic fracturing has revolutionized U.S. energy supply and made unconventional oil and gas fundamental to U.S. energy security. These methods now account for the production of over 64% of domestic oil and 78% of domestic natural gas from shale and tight formations. Despite the substantial production, the recovery efficiency (or recovery factor) remains strikingly low. Although the United States boasts 1,778 trillion cubic feet of recoverable shale and tight gas and 191 billion barrels (bbl) of recoverable unconventional oil,6 over 80% of the resource remains trapped underground, and well output may decline up to 50% within the first year of operation. These limitations force continuous drilling of new wells to maintain production volumes, and this strategy is complicated by operational limitations. Infill drilling frequently leads to well interference, diminishing output from both new and existing wells due to overlapping stimulated rock volumes and pressure communication between boreholes. The depletion of prime "Tier 1" drilling locations exacerbates this problem, forcing operators to target lower-quality reservoirs or employ tighter infill spacing. Even though technological advancements such as longer laterals, increased proppant usage, and greater water volumes have been implemented to counteract these challenges, the inherently low permeability of unconventional rock, coupled with limited control over subterranean fracture formation and interaction, means that a substantial portion of the oil and gas remains unrecoverable. Overall, transformative approaches are needed to address low recovery rates, steep production decline, and concerns regarding water sourcing, wastewater management, and related risks. Other Subsurface Resources The fundamental challenge of extracting valuable resources from low-permeability, hard-to-access rock formations extends beyond oil and gas. Efficient extraction of other subsurface resources, such as geothermal energy, minerals and metals, and coalbed methane, also depends on creating and maintaining connective, conductive pathways for fluid or heat transport. Addressing these shared challenges presents a significant opportunity for cross-cutting advancements that will enhance recovery efficiency across diverse subsurface systems. 2. Technical Challenges Oil and Gas Low permeability and resource access. Shale and tight formations exhibit extremely low permeabilities, ranging from nanodarcys to microdarcys (approximately 10¿18 to 10¿21 m2), which prevents economic hydrocarbon flow without significant permeability enhancement or stimulation. Hydraulic fracturing remains the dominant method for achieving this enhancement and requires the injection of millions of gallons of water along with millions of pounds of proppants per well to create conductive fractures. Its effectiveness is hindered by non-uniform fractures and poor connectivity with natural fractures, reducing effective stimulated reservoir volume, sweep efficiency, and overall recovery. Fracture conductivity and propagation. Proppants are crucial for maintaining the conductivity of hydraulically induced fractures, creating pathways for hydrocarbon flow once injection stops. However, traditional proppants (primarily sand) often fail to reach fracture extremities due to factors such as leak-off and settling, causing early closure and diminished flow contribution. Proppant effectiveness is further impaired by crushing, embedding, and chemical and thermal degradation, which diminish fracture conductivity and, consequently, hydrocarbon flow. Although engineered proppants (e.g., resin-coated, ceramic) offer enhanced strength and durability, widespread adoption is limited by their higher cost compared with sand. In addition, fracture orientation is strongly governed by the in-situ stress field, which is poorly characterized and difficult to control, leading to unpredictable fracture propagation and uneven stimulation. This challenge is further compounded during refracturing operations. Enhanced recovery. Despite success in conventional fields, enhanced oil recovery (EOR) methods have shown marginal success in unconventional formations due to their ultra-low permeability. Injected fluids (e.g., CO2, surfactants, solvents) are largely confined to the fracture network, with minimal access to the hydrocarbons in the unstimulated matrix. Non-uniform fracture connectivity further causes fluid channeling and inefficient displacement, while complex fluid-rock-hydrocarbon interactions add uncertainties. Together, these hurdles constrain the economic viability of EOR in shale and tight formations. Refracturing. Refracturing existing wells offers an economic alternative to drilling new wells but faces major challenges. Success depends on accurately characterizing existing fractures and diverting fluids into unstimulated rock, rather than depleted zones, which requires advanced diversion and flow control technologies. Inter-well interference, common in both refracturing and infill drilling, can reduce neighboring wells’ productivity. Without precise candidate selection, accurate reservoir characterization, and improved downhole control, refracturing yields will continue to be economically uncertain. Water management. Each shale and tight well requires 1.5 to 16 million gallons of water for hydraulic fracturing and generates 1–12 bbl of produced water (a combination of formation water and fracturing water) per barrel of oil equivalent (BOE) over its lifecycle. Although some of the produced water is reused for fracturing, the majority is still disposed of via injection wells, posing potential environmental risks. Additionally, the high salinity and complex chemistry of the produced water make surface treatment costly. Sensing and far-field characterization. Current diagnostic tools such as microseismic and distributed fiber optic sensing offer limited resolution of fracture dimensions, connectivity, and conductivity. This limitation leads to difficulty in mapping fracture networks, characterizing unstimulated zones to estimate undrained volumes, and monitoring fluid migration in the far field. Furthermore, effectively monitoring proppant distribution and assessing fracture conductivity within the stimulated region remains an unsolved challenge. The long-term monitoring capabilities are also constrained by the durability of sensors in harsh downhole environments. Other Subsurface Resources The challenge of mobilizing and recovering resources from low-permeability, geologically complex formations extends beyond shale and tight oil and gas reservoirs, constraining other subsurface resources. Enhanced geothermal systems (EGS), particularly in hot dry rock and low-permeability basement formations, face difficulties in sustaining conductive fractures and in maintaining uniform flow across them. This difficulty leads to thermal short circuiting and suboptimal thermal recovery. Sand-based proppants may degrade under high temperatures and stress, causing conductivity loss. High temperatures limit sensor longevity. Monitoring fracture propagation, fluid pathways, and¿far-field¿behavior also remains challenging. Circulation losses (~230 to 4,200 gallons per megawatt-hour) raise water demand and seismic risks, while scaling clogs flow paths. In-situ leaching operations for extracting minerals and metals face challenges in low permeability formations due to poor leaching agent (i.e., lixiviant) to rock contact, resulting in low recovery. Containment of injected fluids during in-situ leaching is critical for groundwater protection, but current wellbore monitoring methods (e.g., logging) are inadequate to track complex subsurface flow, geochemical interactions, and far-field fluid excursions. Further difficulties arise from post-leaching groundwater restoration and wastewater management. For example, uranium recovery can generate 50–250 gallons of wastewater per pound of uranium recovered, underscoring the need for effective water management strategies. Coalbed methane production requires extensive dewatering that yields significant wastewater, presenting costly treatment and disposal challenges. The low, anisotropic permeability of coal seams often necessitates stimulation and enhanced recovery to maintain production. Overcoming hurdles in characterizing permeability, dewatering, and tracking subsurface gas fronts is crucial for optimizing production. A critical opportunity exists to develop crosscutting, next-generation technologies that enhance stimulation and recovery efficiency, expand flow pathways, and improve water management across diverse subsurface systems. To view the NOFO in its entirety, please visit https://exchange.energy.gov/. Funding Opportunity Number: DE-FOA-0003630. Assistance Listing: 81.135. Funding Instrument: CA,O. Category: OZ,ST. Award Amount: $3M – $5M per award.

NOFO Number: DE-FOA-0003631 - Unlocking New Levels of Output and Capacity for Key Subsurface Resources SBIR/STTR (UNLOCK SBIR/STTR) To obtain a copy of the Notice of Funding Opportunity (NOFO) please go to DOE eXCHANGE at https://exchange.energy.gov/. To apply to this NOFO, Applicants must register with and submit application materials through DOE eXCHANGE (https://exchange.energy.gov/Registration.aspx). For detailed guidance on using DOE eXCHANGE, please refer to the DOE eXCHANGE User Guide (https://exchange.energy.gov/Manuals.aspx). ARPA-E will not review or consider application materials submitted through other means. For problems with DOE eXCHANGE, email ExchangeHelp@hq.doe.gov (with NOFO name and number in the subject line). Questions about this NOFO? Check the Frequently Asked Questions available at http://arpa-e.energy.gov/faq. For questions that have not already been answered, email ARPA-E-CO@hq.doe.gov. Agency Overview: The Advanced Research Projects Agency – Energy (ARPA-E), an organization within the Department of Energy (DOE), is chartered by Congress in the America COMPETES Act of 2007 (P.L. 110-69), as amended by the America COMPETES Reauthorization Act of 2010 (P.L. 111-358), as further amended by the Energy Act of 2020 (P.L. 116-260). ARPA-E issues this Notice of Funding Opportunity (NOFO) under its authorizing statute codified at 42 U.S.C. § 16538. The NOFO and any cooperative agreements or grants made under this NOFO are subject to 2 C.F.R. Part 200 as supplemented by 2 C.F.R. Part 910. ARPA-E funds research on, and the development of, transformative science and technology solutions to address the energy and environmental missions of the Department. The agency focuses on technologies that can be meaningfully advanced with a modest investment over a defined period of time in order to catalyze the translation from scientific discovery to early-stage technology. For the latest news and information about ARPA-E, its programs and the research projects currently supported, see: http://arpa-e.energy.gov/. ARPA-E funds transformational research. Existing energy technologies generally progress on established “learning curves” where refinements to a technology and the economies of scale that accrue as manufacturing and distribution develop drive improvements to the cost/performance metric in a gradual fashion. This continual improvement of a technology is important to its increased commercial deployment and is appropriately the focus of the private sector or the applied technology offices within DOE. In contrast, ARPA-E supports transformative research that has the potential to create fundamentally new learning curves. ARPA-E technology projects typically start with cost/performance estimates well above the level of an incumbent technology. Given the high risk inherent in these projects, many will fail to progress, but some may succeed in generating a new learning curve with a projected cost/performance metric that is significantly better than that of the incumbent technology. ARPA-E will provide support at the highest funding level only for submissions with significant technology risk, aggressive timetables, and careful management and mitigation of the associated risks. ARPA-E funds technology with the potential to be disruptive in the marketplace. The mere creation of a new learning curve does not ensure market penetration. Rather, the ultimate value of a technology is determined by the marketplace, and impactful technologies ultimately become disruptive – that is, they are widely adopted and displace existing technologies from the marketplace or create entirely new markets. ARPA-E understands that definitive proof of market disruption takes time, particularly for energy technologies. Therefore, ARPA-E funds the development of technologies that, if technically successful, have clear disruptive potential, e.g., by demonstrating capability for manufacturing at competitive cost and deployment at scale. ARPA-E funds applied research and development (R&D). The Office of Management and Budget defines “applied research” as an “original investigation undertaken in order to acquire new knowledge…directed primarily towards a specific practical aim or objective” and defines “experimental development” as “creative and systematic work, drawing on knowledge gained from research and practical experience, which is directed at producing new products or processes or improving existing products or processes.” Applicants interested in receiving financial assistance for basic research (defined by the Office of Management and Budget as “experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundations of phenomena and observable facts”) should contact the DOE’s Office of Science (http://science.energy.gov/). Office of Science national scientific user facilities (http://science.energy.gov/user-facilities/) are open to all researchers, including ARPA-E Applicants and awardees. These facilities provide advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and the atmosphere. Projects focused on early-stage R&D for the improvement of technology along defined roadmaps may be more appropriate for support through the DOE applied energy offices including: the Office of Critical Minerals and Energy Innovation (CMEI) (https://www.energy.gov/cmei/office-critical-minerals-and-energy-innovation), the Hydrogen and Geothermal Energy Office (https://www.energy.gov/hgeo/hydrocarbons-and-geothermal-energy-office), the Office of Nuclear Energy (http://www.energy.gov/ne/office-nuclear-energy), and the Office of Electricity (https://www.energy.gov/oe/office-electricity). ARPA-E encourages submissions stemming from ideas that still require proof-of-concept R&D efforts as well as those for which some proof-of-concept demonstration already exists. Submissions can propose a project with the end deliverable being an extremely creative, but partial solution. Program Overview: 1. Background and Motivation Subsurface resources, including oil, gas, geothermal, and mineral systems, underpin modern energy security, industrial productivity, and economic competitiveness. However, substantial technical hurdles related to the extraction of these resources limit their full potential, especially within geologically complex formations characterized by low matrix permeability and inefficient resource mobility. Oil and Gas The combination of horizontal drilling and hydraulic fracturing has revolutionized U.S. energy supply and made unconventional oil and gas fundamental to U.S. energy security. These methods now account for the production of over 64% of domestic oil and 78% of domestic natural gas from shale and tight formations. Despite the substantial production, the recovery efficiency (or recovery factor) remains strikingly low. Although the United States boasts 1,778 trillion cubic feet of recoverable shale and tight gas and 191 billion barrels (bbl) of recoverable unconventional oil,6 over 80% of the resource remains trapped underground, and well output may decline up to 50% within the first year of operation. These limitations force continuous drilling of new wells to maintain production volumes, and this strategy is complicated by operational limitations. Infill drilling frequently leads to well interference, diminishing output from both new and existing wells due to overlapping stimulated rock volumes and pressure communication between boreholes. The depletion of prime "Tier 1" drilling locations exacerbates this problem, forcing operators to target lower-quality reservoirs or employ tighter infill spacing. Even though technological advancements such as longer laterals, increased proppant usage, and greater water volumes have been implemented to counteract these challenges, the inherently low permeability of unconventional rock, coupled with limited control over subterranean fracture formation and interaction, means that a substantial portion of the oil and gas remains unrecoverable. Overall, transformative approaches are needed to address low recovery rates, steep production decline, and concerns regarding water sourcing, wastewater management, and related risks. Other Subsurface Resources The fundamental challenge of extracting valuable resources from low-permeability, hard-to-access rock formations extends beyond oil and gas. Efficient extraction of other subsurface resources, such as geothermal energy, minerals and metals, and coalbed methane, also depends on creating and maintaining connective, conductive pathways for fluid or heat transport. Addressing these shared challenges presents a significant opportunity for cross-cutting advancements that will enhance recovery efficiency across diverse subsurface systems. 2. Technical Challenges Oil and Gas Low permeability and resource access. Shale and tight formations exhibit extremely low permeabilities, ranging from nanodarcys to microdarcys (approximately 10¿18 to 10¿21 m2), which prevents economic hydrocarbon flow without significant permeability enhancement or stimulation. Hydraulic fracturing remains the dominant method for achieving this enhancement and requires the injection of millions of gallons of water along with millions of pounds of proppants per well to create conductive fractures. Its effectiveness is hindered by non-uniform fractures and poor connectivity with natural fractures, reducing effective stimulated reservoir volume, sweep efficiency, and overall recovery. Fracture conductivity and propagation. Proppants are crucial for maintaining the conductivity of hydraulically induced fractures, creating pathways for hydrocarbon flow once injection stops. However, traditional proppants (primarily sand) often fail to reach fracture extremities due to factors such as leak-off and settling, causing early closure and diminished flow contribution. Proppant effectiveness is further impaired by crushing, embedding, and chemical and thermal degradation, which diminish fracture conductivity and, consequently, hydrocarbon flow. Although engineered proppants (e.g., resin-coated, ceramic) offer enhanced strength and durability, widespread adoption is limited by their higher cost compared with sand. In addition, fracture orientation is strongly governed by the in-situ stress field, which is poorly characterized and difficult to control, leading to unpredictable fracture propagation and uneven stimulation. This challenge is further compounded during refracturing operations. Enhanced recovery. Despite success in conventional fields, enhanced oil recovery (EOR) methods have shown marginal success in unconventional formations due to their ultra-low permeability. Injected fluids (e.g., CO2, surfactants, solvents) are largely confined to the fracture network, with minimal access to the hydrocarbons in the unstimulated matrix. Non-uniform fracture connectivity further causes fluid channeling and inefficient displacement, while complex fluid-rock-hydrocarbon interactions add uncertainties. Together, these hurdles constrain the economic viability of EOR in shale and tight formations. Refracturing. Refracturing existing wells offers an economic alternative to drilling new wells but faces major challenges. Success depends on accurately characterizing existing fractures and diverting fluids into unstimulated rock, rather than depleted zones, which requires advanced diversion and flow control technologies. Inter-well interference, common in both refracturing and infill drilling, can reduce neighboring wells’ productivity. Without precise candidate selection, accurate reservoir characterization, and improved downhole control, refracturing yields will continue to be economically uncertain. Water management. Each shale and tight well requires 1.5 to 16 million gallons of water for hydraulic fracturing and generates 1–12 bbl of produced water (a combination of formation water and fracturing water) per barrel of oil equivalent (BOE) over its lifecycle. Although some of the produced water is reused for fracturing, the majority is still disposed of via injection wells, posing potential environmental risks. Additionally, the high salinity and complex chemistry of the produced water make surface treatment costly. Sensing and far-field characterization. Current diagnostic tools such as microseismic and distributed fiber optic sensing offer limited resolution of fracture dimensions, connectivity, and conductivity. This limitation leads to difficulty in mapping fracture networks, characterizing unstimulated zones to estimate undrained volumes, and monitoring fluid migration in the far field. Furthermore, effectively monitoring proppant distribution and assessing fracture conductivity within the stimulated region remains an unsolved challenge. The long-term monitoring capabilities are also constrained by the durability of sensors in harsh downhole environments. Other Subsurface Resources The challenge of mobilizing and recovering resources from low-permeability, geologically complex formations extends beyond shale and tight oil and gas reservoirs, constraining other subsurface resources. Enhanced geothermal systems (EGS), particularly in hot dry rock and low-permeability basement formations, face difficulties in sustaining conductive fractures and in maintaining uniform flow across them. This difficulty leads to thermal short circuiting and suboptimal thermal recovery. Sand-based proppants may degrade under high temperatures and stress, causing conductivity loss. High temperatures limit sensor longevity. Monitoring fracture propagation, fluid pathways, and¿far-field¿behavior also remains challenging. Circulation losses (~230 to 4,200 gallons per megawatt-hour) raise water demand and seismic risks, while scaling clogs flow paths. In-situ leaching operations for extracting minerals and metals face challenges in low permeability formations due to poor leaching agent (i.e., lixiviant) to rock contact, resulting in low recovery. Containment of injected fluids during in-situ leaching is critical for groundwater protection, but current wellbore monitoring methods (e.g., logging) are inadequate to track complex subsurface flow, geochemical interactions, and far-field fluid excursions. Further difficulties arise from post-leaching groundwater restoration and wastewater management. For example, uranium recovery can generate 50–250 gallons of wastewater per pound of uranium recovered, underscoring the need for effective water management strategies. Coalbed methane production requires extensive dewatering that yields significant wastewater, presenting costly treatment and disposal challenges. The low, anisotropic permeability of coal seams often necessitates stimulation and enhanced recovery to maintain production. Overcoming hurdles in characterizing permeability, dewatering, and tracking subsurface gas fronts is crucial for optimizing production. A critical opportunity exists to develop crosscutting, next-generation technologies that enhance stimulation and recovery efficiency, expand flow pathways, and improve water management across diverse subsurface systems. To view the NOFO in its entirety, please visit https://exchange.energy.gov/. Funding Opportunity Number: DE-FOA-0003631. Assistance Listing: 81.135. Funding Instrument: CA,G. Category: OZ,ST. Award Amount: $323K – $4.6M per award.

Data sharing to support the training and development of AI foundation models in the energy sector is sponsored by European Commission — Horizon Europe. Expected Outcome: Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and renewables integration, demand side flexibility and energy efficiency. Enhanced cooperation, knowledge sharing and interoperability among energy system actors for secure and seamless data exchange. Advanced methodologies for AI model development ensuring that the results are FAIR (Findable, Accessible, Interoperable, Reusable) beyond the project ending, open source and accommodating for technology evolution. Scope: The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus areas of the energy sector. Projects are expected to: Building on the results of previously funded projects on the Common European energy data space [1] as well as the ongoing work within the Data 4 Energy expert group, projects are expected to demonstrate innovative methods and data governance strategies for sharing data among various energy actors. Projects are expected to demonstrate that they have access to large relevant datasets at the time of submitting the proposal. Projects are expected to develop innovative strategies for sharing data in an effective, secure and transparent way to support the development of AI foundation models. An indicative non exhaustive list of strategies that can be explored is the use of data space connectors or federated training of models to allow the integration of confidential data; the creation of synthetic data as an intermediate step to fill data gaps or improve the quality of the data could also be explored. Projects could also explore other innovative data sharing strategies, such as an ‘AI gym’. The data governance strategies that will be developed in the project should be designed in a way to be scalable and operational even after the end of the project. Projects are expected to develop foundation models tailored for the energy sector, addressing at least one -or more- of the following use cases: planning and operation of electricity grids (including static power flow modelling and dynamic EMT modelling), forecasting, congestion management, anomaly detection, fault diagnosis, predictive maintenance, flexibility management, demand-side energy efficiency, smart and bidirectional charging of EVs or other use cases that contribute to the objective of digitalisation of the energy system. Projects are expected to perform in-depth testing and validation of developed foundation models in lab demonstrators and real-life pilots, building on the results and using the facilities of previously funded projects on “AI testing and experimentation facilities (TEFs)” [2] . Regulatory sandboxes could also be considered for real-life pilot implementations. Projects are expected to bring together a wide group of stakeholders including data owners (for example energy utilities, grid operators, asset owners), application developers (for example startups, SMEs, hyperscalers) and model deployers (for example industry, grid operators, equipment manufacturers) providing a space of cooperation and collaborative data exchange. To scale up the training and development of the models, projects can benefit from the computing capacity of the AI factories that were recently announced by the European Commission [3] , in particular the three AI factories that aim to develop AI applications for the energy sector. AI models are expected to respect et Programme areas: Horizon Europe (HORIZON), Global Challenges and European Industrial Competitiveness, Climate, Energy and Mobility, Energy Systems and Grids