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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Semiconductor Device Simulation Software with Monte Carlo Based Thermal Transport Modeling
SBC: ADVANCED COOLING TECHNOLOGIES INC Topic: C5501bCurrent semiconductor device simulation software adopts Fourier’s law to perform the thermal transport modeling. However, Fourier’s law will become invalid at micro/nano-scale, which can cause a large discrepancy in the thermal and electrical performance between the simulation results and the actual application. To improve the current state-of-the-art, a new semiconductor device simulation sof ...
SBIR Phase I 2023 Department of Energy -
Rapid and Tunable Cooling Technology for Vacuum Furnaces
SBC: ADVANCED COOLING TECHNOLOGIES INC Topic: C4918aC49-18a-271181The need for high-temperature furnaces for neutron scattering experiments has been increasing considerably. One of the major limiting factors of these furnaces is the cooling rate. Currently, the vacuum furnace relies on radiation to dissipate heat and takes at least 2 hours to cool the furnace low enough to safely open for a sample change. This results in significant limitations of ...
SBIR Phase II 2023 Department of Energy -
Emission Based Monitoring for Cyber Threat Detection of DER Systems
SBC: NOKOMIS INC Topic: C5601aThe United States is seeing a growing trend of increasing power management needs with the growing use of the electric grid across the states. A typical power management system that can be locally operated or commercially operated are Distributed Energy Resources which work across solar panel systems, wind turbines, combined heat and power systems, energy storages, and micro-hydro systems. With the ...
SBIR Phase I 2023 Department of Energy -
Photocured Hydropower Repair Coatings
SBC: ACHIEWELL LLC Topic: C5614bHydropower facilities are under constant exposure to extreme moisture conditions. When metal components such as gates and penstocks are exposed to water they experience rusting, corrosion and ultimately parts failure. Coatings are the primary method to prevent corrosion of metal systems, they act as a barrier preventing moisture from contacting metal surface. New coating systems are required to de ...
SBIR Phase I 2023 Department of Energy -
Low-cost high-volume durable coating method for bipolar plates
SBC: ADVANCED COOLING TECHNOLOGIES INC Topic: C5618jC56-18j-273158One of the main challenges to the large-scale commercialization of Proton Exchange Membrane Fuel Cells for high power applications is the faster protective coating of the component bipolar plates. Applications such as large trucks, buses, and marine vehicles require long term durability. The bipolar plates need to be corrosion resistant under thermal cycling over the fuel cell lifeti ...
SBIR Phase I 2023 Department of Energy -
Advanced Thermal Management System for Heavy-Duty Hydrogen Fuel Cells Stacks
SBC: ADVANCED COOLING TECHNOLOGIES INC Topic: C5618bC56-18b-273169 The whole world is racing to achieve the net-zero carbon emissions target by 2050. This will be achieved by significantly reducing greenhouse gas emissions until balancing the emissions and the removal amounts to keep global warming to no more than 1.5°C. Using green hydrogen (i.e., hydrogen created by renewable energy) as fuel for power generation is one of the main approaches to ...
SBIR Phase I 2023 Department of Energy -
Thermally Enhanced Obstructed Flow Board for Hot Spot Mitigation
SBC: ADVANCED COOLING TECHNOLOGIES INC Topic: C5615eThe next generation concentrated solar power (CSP) plants using falling particle receivers offer higher efficiencies which will reduce the levelized cost of electricity (LCOE) for this power source. These plants still have several challenges that must be addressed before commercialization and widespread use. One of these challenges include the durability of the obstructed flow board found in the o ...
SBIR Phase I 2023 Department of Energy -
Cost Effective Swiss-roll Reformer for Methane Mitigation and Utilization
SBC: ADVANCED COOLING TECHNOLOGIES INC Topic: C5627bC56-27b-273262In response to the Department of Energy’s Funding Opportunity Announcement number: 0002903, topic 27-b, “Methane Mitigation: Other”, the project team proposes to develop a novel heat recirculating combustor called Advanced Swiss-roll, along with a Model-Free Adaptive combustion control system that can achieve and maintain greater than 99% methane destruction efficiency over a w ...
SBIR Phase I 2023 Department of Energy -
Reactive Capture of CO2 as Feestock for On-site Green Chemical Production with Absorbent Recycle
SBC: Media and Process Technology Inc. Topic: C5625aAlthough green hydrogen is the ultimate solution to eliminate CO2 emissions, the general consensus today is that green H2 is not economically competitive presently and in the near future. The conventional approaches are likely to dominate H2 and other fuel production in the intermediate term to at least 2030 to 2050 due to their advantage in technical maturity. Hence, decarbonization technology, s ...
SBIR Phase I 2023 Department of Energy -
A Hierarchical, Secure, Wireless Communications Network Architecture for the Smart Electric Grid, Applicable to Digital Twin
SBC: TERASPATIAL INC Topic: C5608bTeraSpatial aims to develop a solution, directly addressing the goals of the Office of Electricity (OE), to improve the robustness, reliability, and security of the power grid by delivering a flexible, AI-infused, distributed, secure wireless communications system, based on advances in 5G and Artificial Intelligence and Machine Learning (AI/ML), for command and control of the power grid. This cons ...
SBIR Phase I 2023 Department of Energy