Optimum design of industrial water supply network with multiple resources

ZHOU Wenjin; JIANG Wei; DENG Chun; FENG Xiao

doi:10.11949/j.issn.0438-1157.20171426

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Optimum design of industrial water supply network with multiple resources

更新时间：2025-12-10

- Optimum design of industrial water supply network with multiple resources
- CIESC Journal Issue 6, Pages: 2560-2566(2018)
- 作者机构：
  
  1. 重质油国家重点实验室, 中国石油大学(北京)化学工程学院,北京,102249
  2. 西安交通大学化学工程与技术学院,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20171426
  CLC： Q021.8
- Online First：05 June 2018，
  
  Published：05 June 2018
- 稿件说明：
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ZHOU Wenjin, JIANG Wei, DENG Chun, et al. Optimum design of industrial water supply network with multiple resources[J]. CIESC Journal, 2018, (6): 2560-2566.
DOI：

ZHOU Wenjin, JIANG Wei, DENG Chun, et al. Optimum design of industrial water supply network with multiple resources[J]. CIESC Journal, 2018, (6): 2560-2566. DOI： 10.11949/j.issn.0438-1157.20171426.

摘要

传统的工业供水网络设计往往仅考虑单个水源或多个水源的单水质参数的优化问题，没有考虑多水质参数和多水源以及相应的原水预处理系统。提出了工业多水源供水网络的超结构模型，并对原水预处理系统进行了数学建模，考虑了不同水源的水质特点，相应的预处理设备产水率和水质的移除率，将工业水阱进行了分类并考虑了多种水质参数的约束。以沿海某炼油企业的多水源供水网络为例，利用商业软件GAMS进行建模求解。优化结果表明，该炼油企业最佳的供水方案是综合使用地表水，市政中水和地下水作为水源，不使用市政供水和海水。该案例优化的供水网络年度化费用为638.42万元。

Abstract

Most designs of conventional industrial water supply networks considered only optimization of single water quality index of mono or multiple water resources but not that of multiple water quality indexes

multiple water resources

and corresponding pretreatment system. A superstructure model of industrial water supply network of multiple resources was proposed and mathematical models of pretreatment system for water resources were developed. Considered water quality of different water resource

water production rate of related pretreatment system

and removal ratio of water quality

industrial water sinks were classified into several groups with constraints of multiple water quality indexes. Water supply network of a coastal oil refining enterprise was studied by solving mathematical model with commercial software GAMS. The results show that the optimal water supply strategy for this company is combination usage of surface water

municipal treated wastewater

and ground water

excluding usage of municipal and sea water. The total annual cost for this optimized water supply network is 6.3842 million yuan.

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