SBIR/STTR Research Award

Combustion Modeling for Direct Fired Supercritical CO2 Power Cycles

Award identifier 6bf930963526f4e4ae0470ae55c2969db530b98536289d4397bdd86fbe92a7fdAwarding agency Department of Energy

Award amount

$999,999

Program and phase

SBIR · Phase II

Award year

2018

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
COMBUSTION RESEARCH & FLOW TECHNOLOGY INC
Proposal award date
2018-05-21
Contract end date
2020-05-20
UEI
XGYZK5MHNJZ8
Solicitation number
DE-FOA-0001794
Topic code
17d

Research abstract

The supercritical CO2 (sCO2) Brayton cycle is gaining interest across a variety of power generation applications due to its potential for providing higher efficiencies. The range of industrial applications include: industrial waste and heat recovery, coal and nuclear power plants, and renewable energy sources such as solar thermal and fuel cells. Direct fired sCO2 cycle loops require combustors that operate beyond the critical point of CO2 in a flow regime that is not well understood. Development of efficient combustor designs at these conditions presents many challenges due to the lack of design and simulation tools that properly account for the reaction kinetics, turbulent mixing and real fluid property variations. Our proposed work here addresses these deficiencies. Statement of How this Problem or Situation is Being Addressed: The design of combustors for sCO2 power cycles presents many challenges since the physics of the reaction kinetics, turbulent flame interactions and real fluid properties in this flow regime are not well understood. Under this project an advanced turbulent combustion model was developed to address complex reacting flow environments under real fluid conditions. Accurate kinetic modeling under these conditions was also be addressed in partnership with the Georgia Institute of Technology. Under the Phase I effort the framework of the new modeling approach was developed and demonstrated. This project will extended an advanced modeling formulation for application to real fluids and multi-stream mixing environments. The model was then be demonstrated for a current SCO2 power cycle combustor geometry. Under the Phase II program with new modeling formulation will be rigorously validated with respect experimental data for multiple experimental configurations and cases. Commercial Applications and Other Benefits:The sCO2 Brayton cycle is gaining interest across a variety of power generation applications including nuclear, fossil fuel, waste heat as well as solar thermal and fuel cells due to its potential for providing efficiencies up to 5% points higher than a steam Rankine cycle. However, the design of efficient combustors for direct fired systems is complex. Our work here provides a high-fidelity design tool that permits accurate performance predictions in this thermodynamic regime and enables the commercialization of optimal combustor designs for these more efficient power generation systems.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

303 SBIR/STTR records share this UEI (1995–2025). Reported award amounts total $121,181,328. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.