Integrating stochastic programming and reliability in the optimal synthesis of chemical processes
Integrating stochastic programming and reliability in the optimal synthesis of chemical processes
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DOI：
10.1016/j.compchemeng.2021.107616
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Ying Chen;Yixin Ye;Zhihong Yuan;I. Grossmann;Bingzhen Chen
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文献类型：
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作者：
Ying Chen;Yixin Ye;Zhihong Yuan;I. Grossmann;Bingzhen Chen
工厂可用性和操作不确定性是化工过程设计和操作的关键考虑因素，因为它们直接影响服务水平和经济性能。针对过程综合中的内外生不确定性问题，提出了一种带可靠性约束的两阶段随机规划GDP（Generalized Disjunctive Programming）模型，并将可靠性模型引入到流程超结构优化中.所提出的随机规划模型通过选择最佳流程图拓扑结构、设备尺寸和操作条件的情景来预测市场的不确定性，同时考虑选择并联机组对提高工厂可用性的影响。采用改进的基于逻辑的外近似算法求解混合GDP模型，有效避免了零流量的数值计算困难，提供了高质量的设计解。以甲醇合成工艺和甲苯加氢脱烷基工艺为例，验证了所提出的建模框架的适用性和求解策略的有效性。该模型集成了可靠性（内生不确定性）和外生不确定性，随着运行灵活性和电厂可用性的增加，该模型显示出最佳的经济性能。
Plant availability and operating uncertainties are critical considerations for the design and operation of chemical processes as they directly impact service level and economic performance. This paper proposes a two-stage stochastic programming GDP (Generalized Disjunctive Programming) model with reliability constraints to deal with both the exogenous and endogenous uncertainties in process synthesis, where the reliability model is incorporated into the flowsheet superstructure optimization. The proposed stochastic programming model anticipates the market uncertainties through scenarios for selecting the optimal flowsheet topology, equipment sizes and operating conditions, while considering the impact of selecting parallel units for improving plant availability. An improved logic-based outer approximation algorithm is applied to solve the resulting hybrid GDP model, which effectively avoids numerical difficulties with zero flows and provides high quality design solutions. The applicability of the proposed modeling framework and the efficiency of solution strategy are illustrated with two well-known conceptual design case studies: methanol synthesis process and toluene hydrodealkylation process. The model, which integrates reliability (endogenous uncertainty) and exogenous uncertainty, shows the best economic performance with the increasing operational flexibility and plant availability.