混合式开合循环冷却水系统的侧流过滤与冷却:改造与随机优化

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ben Zhang , Qiping Zhu , Runrun Song , Jingzheng Ren , Chang He , Haoshui Yu
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引用次数: 0

摘要

本研究提出了一种对传统开式循环冷却水系统的改造策略,通过将闭式湿式冷却塔(CWCTs)集成到侧流管道中,创建一个结合开闭环配置的混合系统。为了准确地表示改装系统中cwct的性能,进行了优化实验设计,通过生成跨各种输入变量的有限场景集来近似多元概率分布。然后通过多场景CFD模拟传播这些分布,为cwct开发数据驱动的降阶模型(ROM)。结合简化的过滤模型和现有的开放式冷却塔模型,采用两阶段随机优化框架,最大限度地减少不确定条件下的投资回复期。实际实例的结果表明,该策略可减少5.7%的运行负荷,减少13.7%的补充水消耗,节省5.4%的成本,证明了该策略在平衡节水、能源效率和经济可行性方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Side-stream filtration and cooling for hybrid open-closed circulating cooling water system: Retrofitting and stochastic optimization
This study presents a retrofit strategy for traditional open circulating cooling water systems by integrating closed-wet cooling towers (CWCTs) into the side-stream pipeline, creating a hybrid system that combines open and closed loop configurations. To accurately represent the performance of the CWCTs within the retrofitted system, an optimal experimental design is conducted to approximate the multivariate probability distributions by generating a finite set of scenarios across various input variables. These distributions are then propagated through multi-scenario CFD simulations to develop a data-driven reduced-order model (ROM) for the CWCTs. This ROM, combined with simplified models for filtration and the existing open cooling towers, is applied within a two-stage stochastic optimization framework to minimize the investment recovery period under uncertainty. Results from a real-world example show a 5.7% reduction in operational load, 13.7% decrease in makeup water consumption, and 5.4% cost savings, demonstrating the strategy’s effectiveness in balancing water conservation, energy efficiency, and economic viability.
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
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