“…Figure 5 shows the IBA ∆T U Gas t*σ inv errors for the two production FACE bed runs, the PB1 results, and for the existing RTF beds calibrated with tritium. 4 The two runs on the production FACE beds were plotted at flows other than 45 SLPM to show the change in error between the two runs. Figure 5 shows t*σ inv errors for five of the FACE beds were similar to those obtained for PB1 or the RTF tritium recovery beds run with a 70 SLPM jacket gas flow.…”
Section: Discussionmentioning
confidence: 99%
“…5 Linear and quadratic regression models, with and without zero intercept, were fit to the ∆T versus T/M data to obtain regression coefficients and other statistics parameters. The previously described method 4 was used to select the "best" regression model at the 95% confidence level and calculate the inverse regression standard deviation, σ inv . The accuracy of the IBA technique was calculated as the product of the statistical student's t-test value and σ inv : t*σ inv .…”
Section: Methodsmentioning
confidence: 99%
“…The t*σ inv error for the four IBA techniques are shown in Figure 3 along with the results for six SRS 1500L storage beds calibrated with tritium. 4 Smaller t*σ inv errors for U-tube flow versus jacket flow lead to termination of further jacket flow tests.…”
Section: Methodsmentioning
confidence: 99%
“…2,3,4 For Gen1 beds, the steadystate temperature rise of a constant gas flow through the bed's jacket (∆T J Gas ) is correlated with tritium content to generate a calibration curve for the bed. ∆T J Gas is obtained during inventory measurements cycles and the calibration curve used to determine bed tritium content.…”
Section: In-bed Accountability Development For a Passively Cooled Elmentioning
“…Figure 5 shows the IBA ∆T U Gas t*σ inv errors for the two production FACE bed runs, the PB1 results, and for the existing RTF beds calibrated with tritium. 4 The two runs on the production FACE beds were plotted at flows other than 45 SLPM to show the change in error between the two runs. Figure 5 shows t*σ inv errors for five of the FACE beds were similar to those obtained for PB1 or the RTF tritium recovery beds run with a 70 SLPM jacket gas flow.…”
Section: Discussionmentioning
confidence: 99%
“…5 Linear and quadratic regression models, with and without zero intercept, were fit to the ∆T versus T/M data to obtain regression coefficients and other statistics parameters. The previously described method 4 was used to select the "best" regression model at the 95% confidence level and calculate the inverse regression standard deviation, σ inv . The accuracy of the IBA technique was calculated as the product of the statistical student's t-test value and σ inv : t*σ inv .…”
Section: Methodsmentioning
confidence: 99%
“…The t*σ inv error for the four IBA techniques are shown in Figure 3 along with the results for six SRS 1500L storage beds calibrated with tritium. 4 Smaller t*σ inv errors for U-tube flow versus jacket flow lead to termination of further jacket flow tests.…”
Section: Methodsmentioning
confidence: 99%
“…2,3,4 For Gen1 beds, the steadystate temperature rise of a constant gas flow through the bed's jacket (∆T J Gas ) is correlated with tritium content to generate a calibration curve for the bed. ∆T J Gas is obtained during inventory measurements cycles and the calibration curve used to determine bed tritium content.…”
Section: In-bed Accountability Development For a Passively Cooled Elmentioning
“…For over 15 years, the Savannah River Site (SRS) Tritium Facilities have used metal hydride storage beds 1,2 with up to 12.6 kg of LaNi 4.25 Al 0.75 (LANA0.75) for process gas absorption, storage, and desorption. The initial design -1 st generation (Gen1) storage beds contain the metal hydride in a 3 inch NPS schedule 40 pipe process vessel (PV).…”
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