Process Operability Algorithms: Past, Present, and Future Developments
Process Operability Algorithms: Past, Present, and Future Developments
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过程可操作性算法：过去，现在和未来的发展
DOI：
10.1021/acs.iecr.9b05181
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发表时间：
2020-02-12
影响因子：
4.2
通讯作者：
Lima, Fernando, V
中科院分区：
文献类型：
--
作者：
Gazzaneo, Vitor;Carrasco, Juan C.;Lima, Fernando, V
本文综述了近年来发展起来的多模型和基于NLP的可操作性方法，并在理论、应用和软件基础设施方面作了进一步的发展。经典的过程可操作性的概念也被重新审视，并与这两种方法中存在的新的扩展进行对比。一个重点是不同的措施之间的比较的可操作性指数和所需的操作区域的不可行的部分的处理。对于软件基础设施的成果，提供了一个框架的过程可操作性算法的发展。特别是，从所研究的方法中生成的代码被包含在一个开源平台中，该平台将向学术界和工业界的研究人员提供算法的访问权限。该平台具有传播和未来改进过程可操作性算法和方法的目的。对于一个通用的过程可操作性工具的开发，所考虑的方法是适应于支持通用维度的过程模型。新的贡献，如传统的可操作性指标计算和其他方法，以找到最佳的设计区域。不同的输入X输出维度（6 × 3，7 × 3和3 × 3）的非线性能源系统的解决，以证明在开发的软件工具，以处理可扩展性分析，集约化和模块化的功能的适用性。
In this Article, the recently developed multi-model and NLP-based operability approaches are reviewed and further developed in terms of theory, application, and software infrastructure. Classical process operability concepts are also revisited and contrasted with new extensions present in both approaches. A focus is given on the comparison between distinct measures of the operability index and the handling of infeasible portions of the desired operating region. For the software infrastructure outcome, a framework for the development of process operability algorithms is provided. In particular, generated codes from the studied approaches are included in an open-source platform that will grant access of the algorithms to researchers from academia and industry. This platform has the purpose of dissemination and future improvement of process operability algorithms and methods. For the development of a versatile process operability tool, the considered approaches are adapted to support process models of generic dimensionalities. New contributions are also incorporated such as the conventional operability index calculation and other methods to find optimal design regions. Nonlinear energy systems of different input X output dimensionalities (6 x 3, 7 x 3, and 3 x 3) are addressed to demonstrate the applicability of the features available in the developed software tool to process achievability analysis, intensification, and modularization.