| 工业多水源供水网络优化设计 |
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| 引用本文： | 周文晋,江苇,邓春,冯霄.工业多水源供水网络优化设计[J].化工学报,2018,69(6):2560-2566. |
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| 作者姓名： | 周文晋 江苇 邓春 冯霄 |
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| 作者单位： | 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 |
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| 基金项目： | 国家自然科学基金项目（21576287）；中国石油大学（北京）科研基金项目（2462015BJB02，2462015YQ0305）。 |
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| 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。
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| 关 键 词： | 供水网络 多水源 脱盐 数学规划法 集成 优化设计 |
| 收稿时间： | 2017-10-26 |
| 修稿时间： | 2018-01-08 |
Optimum design of industrial water supply network with multiple resources |
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| ZHOU Wenjin,JIANG Wei,DENG Chun,FENG Xiao.Optimum design of industrial water supply network with multiple resources[J].Journal of Chemical Industry and Engineering(China),2018,69(6):2560-2566. |
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| Authors: | ZHOU Wenjin JIANG Wei DENG Chun FENG Xiao |
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| Affiliation: | 1. State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering, China University of Petroleum, Beijing 102249, China;
2. School of Chemical Engineering & Technology, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China |
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| 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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| Keywords: | water supply network multi-source desalination mathematical programming integration optimal design |
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