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首页> 外文期刊>Computers & Chemical Engineering >Optimisation of heat exchanger network cleaning schedules: Incorporating uncertainty in fouling and cleaning model parameters
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Optimisation of heat exchanger network cleaning schedules: Incorporating uncertainty in fouling and cleaning model parameters

机译：热交换器网络清洁时间表的优化：在结垢和清洁模型参数中纳入不确定性

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摘要

The optimisation of the cleaning schedule in heat exchanger networks (HENs) subject to fouling is presented in which the impact of parametric uncertainty is considered. This work is based on the realisation that these HEN cleaning scheduling problems are multistage mixed-integer optimal control problems (MIOCPs) in which the controls, i.e. cleaning actions, exhibit bang-bang behaviour as they occur linearly in the system equations. A multiple scenario feasible path MIOCP approach is proposed, whereby many scenarios of the HEN multiperiod problems are stacked, sharing the same control actions. This is implemented on a 10 unit and a 25 unit HEN case studies representing crude oil refinery preheat trains (PHTs). Results show that there is a large difference in financial performance for the deterministic case versus the parametric uncertainty problem and hence it is vital that uncertainty be taken into account during the optimisation of schedules for HEN maintenance problems. (C) 2018 Elsevier Ltd. All rights reserved.
机译：在考虑结垢参数不确定性影响的前提下，提出了对受污染的换热网络（HENs）进行清洁计划的优化。这项工作基于以下认识：这些HEN清洗调度问题是多阶段混合整数最优控制问题（MIOCP），其中控制（即清洗动作）在系统方程中线性发生时就表现出爆炸性行为。提出了一种多场景可行路径MIOCP方法，该方法堆叠了许多HEN多周期问题的场景，共享相同的控制动作。这是在代表原油精炼厂预热机组（PHT）的10个单元和25个单元的HEN案例研究中实现的。结果表明，确定性案例与参数不确定性问题在财务绩效方面存在很大差异，因此至关重要的是在优化HEN维护问题的时间表时要考虑不确定性。 （C）2018 Elsevier Ltd.保留所有权利。

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