Assessment of Sensor Technologies for Advanced Reactors

Conference · Mon Jul 17 04:00:00 EDT 2017

OSTI ID:1440657

Korsah, Kofi; Kisner, R. A.; Ramuhalli, Pradeep; Wootan, David W.; Anheier, Norman C.; Diaz, Aaron A.; Hirt, Evelyn H.; Vilim, R.; Chien, Hual-Te; Bakhtiari, Sasan; Sheen, Shuh-Haw; Gopalsami, S.; Heifetz, Alex; Tam, S. K.; Park, Y.; Upadhyaya, Belle; Stanford, Austin

This paper provides an assessment of sensor technologies and a determination of measurement needs for advanced reactors (AdvRx). It is a summary of a study performed to provide the technical basis for identifying and prioritizing research targets within the instrumentation and control (I&C) Technology Area under the Department of Energy’s (DOE’s) Advanced Reactor Technology (ART) program. The study covered two broad reactor technology categories: High Temperature Reactors and Fast Reactors. The scope of “High temperature reactors” included Gen IV reactors whose coolant exit temperatures exceed ≈650 °C and are moderated (as opposed to fast reactors). To bound the scope for fast reactors, this report reviewed relevant operating experience from US-operated Sodium Fast Reactor (SFR) and relevant test experience from the Fast Flux Test Facility (FFTF). For high temperature reactors the study showed that in many cases instrumentation have performed reasonably well in research and demonstration reactors. However, even in cases where the technology is “mature” (such as thermocouples), HTGRs can benefit from improved technologies. Current HTGR instrumentation is generally based on decades-old technology and adapting newer technologies could provide significant advantages. For sodium fast reactors, the study found that several key research needs arise around (1) radiation-tolerant sensor design for in-vessel or in-core applications, where possible non-invasive sensing approaches for key parameters that minimize the need to deploy sensors in-vessel, (2) approaches to exfiltrating data from in-vessel sensors while minimizing penetrations, (3) calibration of sensors in-situ, and (4) optimizing sensor placements to maximize the information content while minimizing the number of sensors needed.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1440657
• Report Number(s): PNNL-SA-132062; RC0423000
• Country of Publication: United States
• Language: English