Design of Water-Using Network with Single Internal Water Main Based on Water Pinch Analysis

doi:10.7652/xjtuxb201704023

您当前的位置：

首页 >

文章列表页 >

Design of Water-Using Network with Single Internal Water Main Based on Water Pinch Analysis

更新时间：2025-07-09

- Design of Water-Using Network with Single Internal Water Main Based on Water Pinch Analysis
- Vol. 51, Issue 4, Pages: 149-154(2017)
- 作者机构：
  
  大连交通大学环境与化学工程学院,辽宁,大连,116028
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201704023
  CLC： TQ021.8
- Online First：10 April 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
Design of Water-Using Network with Single Internal Water Main Based on Water Pinch Analysis[J]. 2017, 51(4): 149-154.
DOI：

Design of Water-Using Network with Single Internal Water Main Based on Water Pinch Analysis[J]. 2017, 51(4): 149-154. DOI： 10.7652/xjtuxb201704023.

摘要

为了快速有效地进行具有中间水道的用水网络设计

提出了基于水夹点分析的用水网络设计方法。水夹点分析基于对用水过程中使用新鲜水或回用水的指导

获得初始中间水道浓度估计值并给出中间水道中水分配的基本规则。首先根据水夹点浓度确定中间水道杂质浓度

并对用水单元进行分组

安排用水单元在用水网络中的位置

然后优化中间水道水流量

确定最优用水网络结构。水夹点分析提供具有中间水道初始用水网络结构

降低数学优化求解的规模和难度

所提夹点设计方法简捷易行。2个实例的计算结果表明

所提出的方法比简单的夹点分析和节水因子方法可分别节水2.56%和7.58%。

Abstract

A design method based on water pinch analysis is presented to design water-using networks with single internal water main quickly and effectively. The water pinch analysis obtains the concentration of initial internal water main and provides water allocation rules flowing in and out internal water main based on directing water-using units to use fresh water or reused water. The internal water main is formed according to water pinch concentration values

then the water-using units are grouped and arranged at different positions in the water-using network. The final structure of the water network is determined through optimizing the water volume of the internal water main. The water pinch analysis provides an initial structure of a water-using network and reduces the scale and difficulty of mathematical optimization. The presented method is simpler and easier for use. The results obtained from two examples and the comparisons with simple water pinch analysis method and the water saving factor method show that the presented method saves fresh water consumption by 2.56% and 7.58%

respectively.

关键词

Keywords

references

WAND Y P, SMITH R. Wastewater minimization [J]. Chemical Engineering Science, 1994, 49(7): 981-1006.

BAGAJEWICZ M J, RIVAS M, SAVELSKI M J. A robust method to obtain optimal and sub-optimal design and retrofit solutions of water utilization systems with multiple contaminants in process plants [J]. Computers Chemical Engineering, 2000, 24(2): 1461-1466.

FENG X, SEIDER W D. A new structure and design methodology for water networks [J]. Industrial Engineering Chemistry Research, 2001, 40(26): 6140-6146.

WANG B, FENG X, ZHANG Z X. A design methodology for multiple-contaminant water networks with single internal water main [J]. Computers and Chemical Engineering, 2003, 27(7): 903-911.

ZHENG X S, FENG X, SHEN R J, et al. Design of optimal water-using networks with internal water mains [J]. Industrial Engineering Chemistry Research, 2006, 45(25): 8413-8420.

MA H, FENG X, CAO K. A rule-based design methodology for water networks with internal water mains [J]. Chemical Engineering Research and Design, 2007, 85(4): 431-444.

刘永忠, 段海涛, 冯霄. 水系统集成优化方案的博弈分析与评价方法 [J]. 化工学报, 2009, 60(4): 94-951.

LIU Yongzhong, DUAN Haitao, FENG Xiao. Approach to evaluation of optimal schemes for water networks based on game theory [J]. CIESC Journal, 2009, 60(4): 94-951.

何海娜, 万林战, 刘智勇. 具有中间水道的多杂质用水网络简化设计方法 [J]. 化工学报, 2010, 61(5): 1176-1182.

HE Haina, WAN Linzhan, LIU Zhiyang. A simple design method for water network with multi-contaminant internal water mains [J]. CIESC Journal, 2010, 61(5): 1176-1182.

SU W N, LI Q H, LIU Z Y, et al. A new design method for water-using network of multiple contaminants with single internal water main [J]. Journal of Cleaner Production, 2012, 29/30(S): 38-45.

ZHAO H P, SU W N, LIU Z Y. Design of water-using networks of multiple contaminants with two internal water mains [J]. Journal of Cleaner Production, 2014, 67(6): 37-44.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Knowledge Graph Representation Learning Driven by Semantic Discrimination and Subgraph Integration

I/O Performance Modeling and Prediction Method for Large-Scale Parallel Applications Using Machine Learning

Influence of Structural Parameters on the Summer Operational Characteristics of a Three-Tower-in-One Indirect Air-Cooling System

A Structure-Semantics-Residual Collaborative Image Compression Framework：Towards Privacy Protection and High-Fidelity Reconstruction

Sensitivity Analysis of Foil Geometrical Parameters for the Third-Generation CO2 Gas Foil Bearings Based on Design of Experiments Method

Related Author

No data

Related Institution

No data

⁰