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The extended resource task network: a framework for the combined scheduling of batch processes and CHP plants

机译:扩展的资源任务网络:用于批处理和CHP工厂联合调度的框架

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摘要

The issue of energy has emerged as one of the greatest challenges facing mankind. In an industrial perspective, the development of site utility systems (generally combined heat and power (CHP) systems) for the generation and management of utilities provides a great potential source for energy savings. However, in most industrial sites, a master-slave relationship usually governs this kind of system and limits the potential operating capacity of CHP. To improve the decision-making process, Agha et al. (2010. Integrated production and utility system approach for optimising industrial unit operation. Energy, 35, 611-627) have proposed an integrated approach that carries out simultaneous and consistent scheduling of batch production plants and site utility systems. The modelling of the problem relies on a mixed integer linear programming (MILP) formulation. Nevertheless, although it is a powerful mathematical tool, it still remains difficult to use for nonexpert engineers. In this framework, a graphical formalism based on existing representations (STN, RTN) has been developed: the extended resource task network (ERTN). Combined with an efficient and generic MILP formulation, it permits various kinds of industrial problems, including production and consumption of utility flows to be modelled homogenously. This paper focuses on the semantic elements of the ERTN formalism and illustrates their use through representative examples.
机译:能源问题已经成为人类面临的最大挑战之一。从工业角度来看,用于公用事业的产生和管理的现场公用事业系统(通常是热电联产(CHP)系统)的开发提供了巨大的节能潜力。但是,在大多数工业站点中,主从关系通常控制着这种系统,并限制了CHP的潜在运行能力。为了改善决策过程,Agha等人。 (2010.集成生产和公用事业系统方法,用于优化工业部门的运营。Energy,35,611-627)提出了一种集成方法,该方法可以同时并一致地调度批生产工厂和现场公用事业系统。问题的建模依赖于混合整数线性规划(MILP)公式。尽管如此,尽管它是一个强大的数学工具,但对于非专业工程师来说仍然很难使用。在此框架中,已开发出基于现有表示形式(STN,RTN)的图形形式主义:扩展资源任务网络(ERTN)。结合有效且通用的MILP公式,它可以对各种工业问题(包括公用事业流量的生产和消耗)进行均匀建模。本文重点介绍ERTN形式主义的语义元素,并通过代表性示例说明其用法。

著录项

  • 来源
    《International Journal of Production Research》 |2012年第4期|p.623-646|共24页
  • 作者单位

    Universite de Toulouse, Laboratoire de Genie Chimique, ENSIACET-INPT, 4 allee Emile Monso BP 44362 31342 Toulouse Cedex 4, France;

    Universite de Toulouse, Laboratoire de Genie Chimique, ENSIACET-INPT, 4 allee Emile Monso BP 44362 31342 Toulouse Cedex 4, France;

    Universite de Toulouse, Laboratoire de Genie Chimique, ENSIACET-INPT, 4 allee Emile Monso BP 44362 31342 Toulouse Cedex 4, France;

    Universite de Toulouse, Institut Superieur de I'Aeronautique et de L'Espace, 10 av. E. Belin, 31005 Toulouse Cedex 4, France;

    Universite de Toulouse, Laboratoire de Genie Chimique, ENSIACET-INPT, 4 allee Emile Monso BP 44362 31342 Toulouse Cedex 4, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    batch scheduling; energy management; mixed integer linear programming (MILP); utility system; extended resource task network (ERTN);

    机译:批量计划;能源管理;混合整数线性规划(MILP);实用系统;扩展资源任务网络(ERTN);

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