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On the plantwide control of the Acetone-Chloroform-Benzene-Toluene separation process – a two layer control architecture

机译:在整个工厂范围内控制丙酮-氯仿-苯-甲苯分离过程–两层控制架构

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In industry, the implemention of advanced control methods in distillation processes remained below the 10% threshold, mainly due to the small profit margin that the implementation of these algorithms would have brought compared to standard control algorithms. Given the increasing demand for very high product purity and productivity, increasingly stringent environmental standards and cost reduction requirements, the implementation of advanced control algorithms is an attractive solution for solving these challenges.The paper presents the application of the plantwide methodology, through an in-house modelling and control framework, to a strongly nonlinear process: the separation of an equimolar azeotropic mixture of acetone, chloroform, benzene and toluene (ACBT) with recirculation. The included models are fundamental models, realized through the equations of physico-chemical, energetic, impulse balances, etc., which take into account a set of simplifying hypotheses. The control was approached from a plantwide perspective and was separated on two levels: a fast one, of stabilization, which will control levels and pressures and a slower one, of supervision, based on predictive control algorithms that will set either the references for the lower level or will directly control the slow loops of the process.The results obtained by a unitary approach starting from modeling, estimating the states and applying plantwide control strategy encourage the increasing usage of the strategy industrial distillation processes.
机译:在工业上,在蒸馏过程中实施先进的控制方法仍低于10%的门槛,这主要是由于与标准控制算法相比,这些算法的实现所带来的利润空间很小。鉴于对极高产品纯度和生产率的日益增长的需求,日益严格的环境标准和降低成本的要求,高级控制算法的实施是解决这些挑战的一种有吸引力的解决方案。在一个强非线性过程中建立模型和控制框架:将丙酮,氯仿,苯和甲苯(ACBT)的等摩尔共沸混合物进行再循环分离。包括的模型是基本模型,通过物理化学,能量,冲量平衡等式实现,其中考虑了一组简化的假设。从整个工厂的角度进行控制,并将控制分为两个级别:基于预测控制算法的快速控制(一个稳定级别,将控制级别和压力)和较慢的一个监督(基于预测性控制算法,将较低的参考作为参考)统一方法获得的结果从建模,估计状态和应用全厂控制策略开始,这鼓励了工业蒸馏过程策略的越来越多的使用。

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