Profit optimization of Batch Reactor

机译：间歇反应器的利润优化

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A systematic and robust procedure is proposed for the optimization of a batch reactor with known kinetics under changeable demand. In order to reduce the nonlinearity of an NLP model, orthogonal collocation is performed on a fixed, rather than flexible, finite element and parallel Legendre polynomials are used to define continuously optimal terminal conditions within the element. A one-parametric NLP optimization is applied to perform sensitivity analysis. Different NLPs are performed to obtain concentration and control profiles for different scenarios, with limited or unrestricted demand.

机译：提出了一种系统和鲁棒的程序，用于在可变需求下优化具有已知动力学的间歇反应器。为了减少NLP模型的非线性，在固定的而不是灵活的有限元上执行正交配置，并使用并行Legendre多项式来定义该要素内的连续最佳终端条件。一参数NLP优化应用于执行灵敏度分析。执行不同的NLP，以获得需求有限或不受限制的不同情况下的集中和控制配置文件。

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来源
《Advances in Computational Methods in Sciences and Engineering 2005 vol.4A; Lecture Series on Computer and Computational Sciences; vol.4A》|2005年|496-499|共4页
会议地点 Loutraki(GR)
作者
M. Ropotar; Z. Kravanja;
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作者单位

Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova 17 Maribor, Slovenia;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算数学的应用;
关键词
batch reactor; orthogonal collocation; off-line optimization;

机译：间歇反应器正交搭配离线优化;

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Profit optimization of Batch Reactor

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