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  4. ›R--Plant Model Development for Sequoyah Nuclear Plant

U.S. Nuclear Regulatory Commission·Maryland

R--Plant Model Development for Sequoyah Nuclear Plant

Closes 5/15/2026$500k – $2MRequest for Proposal
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Description

The U.S. Nuclear Regulatory Commission (NRC) is seeking a contractor to develop a plant model for the Sequoyah Nuclear Power Plant using the TRAC/RELAP Advanced Computational Engine (TRACE) and Purdue Advanced Reactor Core Simulator (PARCS). The contractor will use USNRC's process for integrating thermal-hydraulic data, PARCS code data, and fuel-performance data from the Fuel Analysis under Steady-state and Transients (FAST) code to facilitate and perform coupled TRACE/PARCS transient simulations for the Sequoyah TRACE model. The period of performance will be approximately 10 months, commencing around June/July 2026. • The contractor shall obtain plant-specific core-design information or suitable surrogate information for the development of a Sequoyah core. • The contractor shall use USNRC's process for integrating thermal-hydraulic data, PARCS code data, and fuel-performance data from the FAST code. • The contractor shall perform coupled TRACE/PARCS transient simulations for the Sequoyah TRACE model. • The NAICS code for the services required is 541990, "All Other Professional, Scientific, and Technical Services."

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Jeffrey R. Mitchell

[email protected]

(301) 415-5074

Key dates

Opened
4/1/2026
Closes
5/15/2026
Duration
10 months

Last updated

Details

Type
Request for Proposal
Industry
Energy and Utilities
NAICS
541690
Solicitation №
31310026R0015

Budget estimate

$500,000 – $2,000,000

The budget for this opportunity is estimated to be in the range of $500,000 to $2 million. This estimate is based on the complexity of the project, the requirement for specialized software and expertise, and the 10-month period of performance. The actual budget may be higher or lower, depending on the specific requirements of the project and the qualifications of the contractor. Factors that may influence the likely payment range include the level of expertise required, the amount of resources needed, and the level of competition for the contract.

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