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A MILP algorithm for utilities pre-design based on the Pinch Analysis and an exergy criterion

机译：基于夹点分析和火用标准的公用事业预设计的MILP算法

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摘要

Designing Heat Exchangers Network for heat recovery is a challenge currently solved with optimization algorithms. However, making a tradeoff between HEN and utilities rely on how relevant are the proposed utilities. In this paper we propose a preselection algorithm for utilities, focused on chillers, heat pumps, Organic Rankine Cycles (ORC) units and Combined Heat & Power (CHP) units. The Pinch Analysis is used to provide input data such as the Grand Composite Curve (GCC). A MILP algorithm based on an exergy criterion automatically preselects and predesigns utilities from the GCC. The formulation of the optimization problem is described, and so the degrees of freedom for the user. Finally, an example from Food & Drink industry shows the performance of this algorithm. Fast and accurate, this algorithm has been implemented in a software named CERES to prepare the results for the HEN design, which is not described in this article.
机译：设计用于热回收的热交换器网络是当前使用优化算法解决的挑战。但是，在HEN和公用事业之间进行权衡取决于拟议公用事业的相关性。在本文中，我们针对公用事业提出了一种预选算法，重点针对冷却器，热泵，有机朗肯循环（ORC）单元和热电联产（CHP）单元。夹点分析用于提供输入数据，例如大复合曲线（GCC）。基于火用标准的MILP算法会自动从GCC中预选和预设计实用程序。描述了优化问题的表述，并因此说明了用户的自由度。最后，来自食品和饮料行业的示例展示了该算法的性能。该算法快速，准确，已在名为CERES的软件中实现，以为HEN设计准备结果，本文中未介绍。

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