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使用激光诱导击穿光谱(LIBS)监测熔盐堆代用废气流中的稀有气体(氙和氪)和气溶胶(铯和铷)。

Monitoring Noble Gases (Xe and Kr) and Aerosols (Cs and Rb) in a Molten Salt Reactor Surrogate Off-Gas Stream Using Laser-Induced Breakdown Spectroscopy (LIBS).

机构信息

Radioisotope Science and Technology Division, 6146Oak Ridge National Laboratory, Oak Ridge, TN, USA.

Nuclear Energy and Fuel Cycle Division, 6146Oak Ridge National Laboratory, Oak Ridge, TN, USA.

出版信息

Appl Spectrosc. 2022 Aug;76(8):988-997. doi: 10.1177/00037028221088625. Epub 2022 May 10.

DOI:10.1177/00037028221088625
PMID:35537200
Abstract

This study with surrogate materials shows that laser-induced breakdown spectroscopy (LIBS) is a robust tool with promising capability toward monitoring gaseous (Xe and Kr) and aerosol (Cs and Rb) species in an off-gas stream from a molten salt reactor (MSR). MSRs will continually evolve fission products into the cover gas flowing across the reactor headspace. The cover gas entrains Xe and Kr gases, along with aerosol particles, before passing into an off-gas treatment system. Univariate models of Xe and Kr peaks showed a strong correlation to concentration indicated by their coefficients of determination of 0.983 and 0.997, respectively. Multivariate models were built for all four analytes using partial least squares regression coupled with preprocessing steps including normalization, trimming, and/or genetic algorithm derived filters. The models were evaluated by predicting the concentrations of the analytes in four validation samples, in which all calibration models were successfully validated at a confidence interval of 99.9%. Lastly, pressure controllers were used to regulate the mass flow rate of Kr flowing into the measurement cell in sinusoidal and stepwise waveforms to test the real-time monitoring capabilities of the regression models. Both univariate and partial least squares Kr models were able to successfully quantify the gas concentration in the real-time evaluation. The root mean squared error of prediction (RMSEP) values for these real-time tests were calculated to be 0.051, 0.060, and 0.121 mol% demonstrating the measurement systems' capability to perform online monitoring with acceptable accuracy.

摘要

这项使用替代材料的研究表明,激光诱导击穿光谱(LIBS)是一种强大的工具,具有监测熔融盐反应堆(MSR)废气中气态(氙气和氪气)和气溶胶(铯和铷)物质的潜力。MSR 将不断将裂变产物转化为流经反应堆顶部空间的覆盖气体。在进入废气处理系统之前,覆盖气体夹带 Xe 和 Kr 气体以及气溶胶颗粒。Xe 和 Kr 峰的单变量模型显示出与浓度的强相关性,其决定系数分别为 0.983 和 0.997。使用偏最小二乘回归(PLSR)并结合归一化、修剪和/或遗传算法衍生滤波器等预处理步骤,为所有四种分析物建立了多元模型。通过预测四个验证样本中分析物的浓度来评估模型,其中所有校准模型均在 99.9%置信区间内成功验证。最后,使用压力控制器以正弦和阶跃波形调节进入测量室的 Kr 质量流量,以测试回归模型的实时监测能力。单变量和偏最小二乘 Kr 模型都能够成功地实时量化气体浓度。这些实时测试的预测均方根误差(RMSEP)值分别计算为 0.051、0.060 和 0.121 mol%,表明测量系统具有以可接受的精度进行在线监测的能力。

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