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Thermal runaway criterion for chemical reaction systems: A modified divergence method

机译:化学反应系统的热失控标准:改进的发散方法

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The chemical reaction in certain range of operating conditions may exhibit parametric sensitivity where small changes in one or more of the input parameters lead to changes in the output variables (eg. reaction temperature). The sharp rise of the reaction temperature is a critical behavior that may lead to runaway conditions. Thus, it is of vital importance to determine the critical operating parameters consisting of the parametric sensitivity region under the consideration of intrinsic safety. In this paper, a modified divergence criterion is proposed based on the trace of Jacobian matrix at the maximum temperature. The nonlinear differential equations describing the dynamic behavior of the chemical reaction is linearized locally in the vicinity of the equilibrium point by the small perturbation analysis. The relationship between the perturbation equation and parametric sensitivity of the reaction system is investigated. The critical values computed by the modified divergence criterion are compared with Morbidelli and Varma criterion (MV criterion), Adler and Enig criterion (AE criterion) and divergence criterion (Div criterion). The comparison demonstrates the validity of the new criterion. In addition, the critical explosion pressures of two kinds of hazardous chemicals are computed by the various critical criteria and compared with published experimental data. The results show that the modified divergence criterion could give smaller computational error compared with the previous criteria. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在某些操作条件范围内的化学反应可能会表现出参数敏感性,其中一个或多个输入参数的微小变化会导致输出变量(例如反应温度)的变化。反应温度的急剧升高是可能导致失控状态的关键行为。因此,至关重要的是在考虑本质安全的情况下确定由参数敏感区域组成的关键操作参数。本文基于雅可比矩阵在最高温度下的迹线,提出了一种改进的发散准则。通过小扰动分析,描述化学反应动力学行为的非线性微分方程在平衡点附近局部线性化。研究了反应方程的摄动方程与参数灵敏度之间的关系。将修改后的散度准则计算出的临界值与Morbidelli和Varma准则(MV准则),Adler和Enig准则(AE准则)以及散度准则(Div准则)进行比较。比较表明新标准的有效性。此外,通过各种关键标准计算出两种危险化学品的临界爆炸压力,并将其与已发布的实验数据进行比较。结果表明,与以前的准则相比,改进的散度准则可以提供较小的计算误差。 (C)2016 Elsevier Ltd.保留所有权利。

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