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Operation optimization research of circulating cooling water system based on superstructure and domain knowledge

机译:基于超结构和域知识的循环冷却水系统运行优化研究

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摘要

Circulating cooling water system (CCWS) is an important auxiliary system in the industrial production process, and it is also one of the main energy-consuming units in the whole process. This paper presents a comprehensive operation optimization method of water and energy, and aims to design an optimal operation plan of the CCWS with improved system operation status and reduced system operation cost. To this end, the operation optimization model based on superstructure method is established, which is comprehensive and practical compared with previous researches in two aspects. Firstly, this model is further extended to realize the comprehensive description and synchronous optimization of network structure, equipment operation mode and equipment operation status, and the optimal operation plan of the system is thus obtained. Secondly, the application range of this model is expanded and thus the proposed method is made more general for various of networks. Moreover, proposed optimization model and the solution algorithm are improved with the fusion of domain knowledge. To be specific, the knowledge of system hydraulic balance and system operation are fused into the operation optimization problem, which improves the energy saving optimization effect and the algorithm calculation efficiency. Finally, the practicality of the proposed operation optimization method is verified through simulation experiments based on the actual network data, and the comprehensive energy-saving rate reaches 31.3%, so the system operation costs are effectively reduced. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:循环冷却水系统(CCWS)是工业生产过程中重要的辅助系统,也是整个过程中的主要能耗单位之一。本文介绍了一种综合运行优化方法的水和能量,旨在设计CCW的最佳运行计划,具有改进的系统运行状态和减少的系统运行成本。为此,建立了基于超结构方法的操作优化模型,与两方面的先前研究相比,这是全面实用的。首先,进一步扩展了该模型以实现网络结构,设备操作模式和设备操作状态的综合描述和同步优化,因此获得了系统的最佳运行计划。其次,扩展了该模型的应用范围,因此提出了拟议的方法,用于各种网络。此外,利用域知识的融合,提高了所提出的优化模型和解决方案算法。具体而言,系统液压平衡和系统操作的知识融合到操作优化问题中,从而提高了节能优化效果和算法计算效率。最后,通过基于实际网络数据的仿真实验验证了所提出的操作优化方法的实用性,综合节能率达到31.3%,因此系统运行成本得到有效降低。 (c)2018化学工程师机构。 elsevier b.v出版。保留所有权利。

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