饮用水处理厂优化运行的混合整数规划方法及工业现场验证

IF 3.8 3区工程技术 Q2 ENGINEERING, CHEMICAL

Industrial & Engineering Chemistry Research Pub Date : 2025-05-15 DOI:10.1021/acs.iecr.4c04633

Paul Gruhle, Pu Li

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引用次数: 0

摘要

为了使供水具有成本效益，水处理厂应保持恒定的处理率。但由于需求变化，这并不总是可能的。因此，运营商根据工厂的产能决定处理阶段，并在需求变化时从一个阶段切换到另一个阶段。本研究提出一种混合整数规划方法，以尽量减少这种开关，同时保证水质和满足饮用水水箱容量限制。考虑到日常运行情况，采用时间相关的二元变量来描述每小时的处理量，导致混合整数线性规划（MILP）问题。该方法已在某工业污水处理厂得到验证。与常规操作相比，通过优化可减少约30%的开关数量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A Mixed-Integer Programming Approach to Optimal Operations of Drinking Water Treatment Plant with Verification on an Industrial Site

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A Mixed-Integer Programming Approach to Optimal Operations of Drinking Water Treatment Plant with Verification on an Industrial Site

A constant treatment rate is expected in a water treatment plant for a cost-effective water supply. But this is not always possible due to demand variations. Therefore, the operator decides the treatment stages based on the plant capacity and switches from one stage to another when demand changes. This study proposes a mixed-integer programming approach to minimize such switches while ensuring water quality and satisfying drinking water tank capacity constraints. Considering daily operations, time-dependent binary variables are used to describe the hourly treatment quantity, resulting in a mixed-integer linear programming (MILP) problem. The proposed approach is verified in an industrial treatment plant. Compared with conventional operations, the number of switches can be reduced by about 30% through the optimization.

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来源期刊

Industrial & Engineering Chemistry Research 工程技术-工程：化工

CiteScore

7.40

自引率

7.10%

发文量

1467

审稿时长

2.8 months

期刊介绍： ndustrial & Engineering Chemistry, with variations in title and format, has been published since 1909 by the American Chemical Society. Industrial & Engineering Chemistry Research is a weekly publication that reports industrial and academic research in the broad fields of applied chemistry and chemical engineering with special focus on fundamentals, processes, and products.