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首页> 外文期刊>Computers & Chemical Engineering >Optimal planning and feedstock-mix selection for multiproduct polymer production
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Optimal planning and feedstock-mix selection for multiproduct polymer production

机译:多产品聚合物生产的最佳计划和原料混合物选择

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摘要

In this paper, we describe a nonlinear programming model to determine the optimal balance of feedstocks to manufacture multiple polymer grades in a polypropylene production facility. The main units of the process are a distillation column and a polymerization reactor, for which accurate short-cut process models were developed. Both a single and multiple product formulations are presented. The proposed models seek to maximize the plant throughput while minimizing the production costs. The possibility of adding extra production is also considered. The formulations are applied to several case studies, both to analyze the performance of the model and to illustrate its potential economic impact. The trade-off between feedstocks costs and production rates is analyzed by solving the multiple-product model with different time horizons. An annualized-slate long term case study is presented. The proposed formulation with a user-friendly interface has been deployed to assist with commercial and operation decisions at the plant.
机译:在本文中,我们描述了一种非线性规划模型,以确定在聚丙烯生产设备中制造多种聚合物等级的原料的最佳平衡。该方法的主要单元是蒸馏塔和聚合反应器,为此开发了精确的快捷方法模型。提出了单一和多种产品配方。所提出的模型试图使工厂的产量最大化,同时使生产成本最小化。还考虑了增加产量的可能性。这些公式被应用于几个案例研究,以分析模型的性能并说明其潜在的经济影响。通过求解具有不同时间范围的多产品模型,分析了原料成本与生产率之间的权衡。提出了年度化的长期案例研究。具有用户友好界面的建议配方已被部署以帮助工厂进行商业和运营决策。

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