Mixed-integer nonlinear programming models for optimal design of reliable chemical plants

Mixed-integer nonlinear programming models for optimal design of reliable chemical plants
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用于可靠化工厂优化设计的混合整数非线性规划模型

DOI:
10.1016/j.compchemeng.2017.08.013
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发表时间:
2017
影响因子:
4.3
通讯作者:
Pinto, Jose M.
Pinto, Jose M.
中科院分区:
工程技术2区
文献类型:
--
作者:
Ye, Yixin;Grossmann, Ignacio E.;Pinto, Jose M.

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基于化工厂的可靠性/可用性问题,提出了MINLP模型,考虑可用性和成本之间的权衡,确定并联单元的最优选择。假设一个潜在的串行结构的可用性,我们首先考虑的情况下,系统之间的可用和不可用状态的转换,第二的情况下,在一半的能力与中间状态。针对这两种情形,分别建立了两个最大化净利润的非凸MINLP模型。此外,针对第一种情况,提出了一个双准则MINLP模型来最大化可用性并最小化成本。结果表明,相应的ε约束模型,其中的可用性最大化受到参数变化的上限的成本,可以重新制定为一个凸MINLP。可用性也被纳入工艺流程的上层结构优化中。以甲醇合成和甲苯加氢脱烷基过程为例,说明了模型的性能。
Motivated by reliability/availability concerns in chemical plants, this paper proposes MINLP models to determine the optimal selection of parallel units considering the trade-off between availability and cost. Assuming an underlying serial structure for availability, we consider first a case where the system transitions between available and unavailable states, and second the case with an intermediate state at half capacity. Two non-convex MINLP models maximizing net profit are introduced for the two cases. In addition, a bi-criterion MINLP model is proposed to maximize availability and to minimize cost for the first case. It is shown that the corresponding epsilon-constrained model, where the availability is maximized subject to parametrically varying upper bound of the cost, can be reformulated as a convex MINLP. Availability is also incorporated in the superstructure optimization of process flowsheets. The performances of the proposed models are illustrated with a methanol synthesis and a toluene hydrodealkylation process.
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