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首页> 外文期刊>Nuclear Technology >DATA RECONCILIATION IN THE STEAM-TURBINE CYCLE OF A BOILING WATER REACTOR
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DATA RECONCILIATION IN THE STEAM-TURBINE CYCLE OF A BOILING WATER REACTOR

机译：沸腾反应器汽轮机循环中的数据协调

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摘要

A mathematical model for a boiling water reactor steam-turbine cycle was assembled by means of a configurable, steady-state modeling tool TEMPO. The model was connected to live plant data and intermittently fitted to these by minimization of a weighted least-squares object function. The improvement in precision achieved by this reconciliation was assessed from quantities calculated from the model equations linearized around the minimum and from Monte Carlo simulations. It was found that the inclusion of the flow-passing characteristics of the turbines in the model equations significantly improved the precision as compared to simple mass and energy balances, whereas heat transfer calculations in feedwater heaters did not. Under the assumption of linear model equations, the quality of the fit can also be expressed as a goodness-of-fit Q. Typical values for Q were in the order of 0.9. For a validated model Q may be used as a fault detection indicator, and Q dropped to very low values in known cases of disagreement between the model and the plant state. The sensitivity of Q toward measurement faults is discussed in relation to redundancy. The results of the linearized theory and Monte Carlo simulations differed somewhat, and if a more accurate analysis is required, this is better based on the latter. In practical application of the presently employed techniques, however, assessment of uncertainties in raw data is an important prerequisite.
机译：通过可配置的稳态建模工具TEMPO组装了沸水反应堆蒸汽轮机循环的数学模型。该模型与现场植物数据连接，并通过最小化加权最小二乘目标函数来间歇地拟合这些数据。通过根据围绕最小值进行线性化的模型方程式计算的数量以及通过蒙特卡洛模拟评估了通过该调节实现的精度提高。结果发现，与简单的质量和能量平衡相比，模型方程中包括了涡轮机的通流特性，大大提高了精度，而给水加热器中的传热计算却没有。在线性模型方程的假设下，拟合的质量也可以表示为拟合优度Q。Q的典型值约为0.9。对于经过验证的模型，Q可用作故障检测指标，并且在已知的模型与工厂状态不一致的情况下，Q会降至非常低的值。关于冗余，讨论了Q对测量故障的敏感性。线性化理论和蒙特卡洛模拟的结果有些不同，如果需要更准确的分析，则基于后者更好。然而，在当前采用的技术的实际应用中，评估原始数据中的不确定性是重要的前提。

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