SBIR/STTR Research Award

Revisiting Pipe Component Design

Award identifier 586041fabc60a2f566a4ffde85da143a23ac0e7fdf0b8d534462c020fc39da11Awarding agency Department of Energy

Award amount

$199,858

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
CONTINUUM DYNAMICS INC
Proposal award date
2019-07-01
Contract end date
2020-03-31
UEI
DUE3E75K1MJ3
Solicitation number
DE-FOA-0001941
Topic code
33j

Research abstract

Under recent economic pressures, the nuclear power industry has explored options to reduce costs and increase electricity generation. One overlooked area where lost power output can be recaptured and attendant problems (e.g., flow-induced vibration) addressed is the main steam piping system. The technology underlying this system is essentially over a 100 years old, and incentives to improve pipe components have been limited by costs (development, retrofitting and unforeseen risks and problems) and analysis tools capable of assessing candidate designs. More recently, these conditions have changed. Access to sophisticated computational fluid dynamics methods has significantly advanced design assessment capabilities. Also, smaller profit margins have increased willingness by the industry to squeeze out moderate power generation increases (e.g., 1% via measurement uncertainty recovery). Finally, power uprates have resulted in higher steam flow speeds that increase head losses and in some cases exacerbate the potential for flow-induced vibration. Taken together, these developments have brought renewed attention to addressing losses and vibration in nuclear power plant steam piping systems. Current approaches to redesign piping components to reduce vibration and improve performance (i.e., reduce head loss) use a combination of experimental testing and flow modeling, together with human intuition regarding the geometrical modifications anticipated to improve flow and reduce unsteadiness. What is lacking, however, is a formal design approach that automates both the analysis process and the design search and is able to factor in test data for improved prediction. This effort will develop such a design code by leveraging prior work in nuclear flow analysis and testing, a proven Cartesian grid-based flow solver that eliminates user involvement in the mesh generation process, and adjoint methods that are widely used in the aerospace industry for both steady state and transient flows. Experimental testing remains a critical element in nuclear piping assessment, particularly regarding unsteady flow effects. A key emphasis in the effort will be integrating the flow analysis software and experimental testing components into a comprehensive design program. Thus results from the optimization will direct experimental testing (and thus aim to minimize the number of tests required to identify and validate a new design). Conversely, test results would be fed back into the flow analysis to improve the applied boundary conditions and validate the computational analysis.A successful effort would produce a robust, validated, and easy-to-operate computational tool for the geometrical design of fluid transport components that minimize head loss and dynamic structural loads. Given the need for and lack of such a capability together with prior experience in addressing internal flow problems in the nuclear industry CDI believes that with modest market entry, the combined sales, and associated service work, could generate ~$10M in sales over several years, with major cost savings for customers attributed to lower design and maintenance costs, improved power generation, and longer component service life.

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

271 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $78,620,383. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, National Science Foundation, Department of Health and Human Services, Department of Agriculture

Agency intelligence

Department of Energy

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