有最大入口浓度限制的单杂质废水处理网络设计

doi:10.11949/j.issn.0438-1157.20151203

化工学报 ›› 2016, Vol. 67 ›› Issue (3): 1015-1021.DOI: 10.11949/j.issn.0438-1157.20151203

有最大入口浓度限制的单杂质废水处理网络设计

李爱红^1,2, 刘智勇³

1. 河北工业大学化工学院, 天津 300130;
2. 承德石油高等专科学校化学工程系, 河北承德 067000;
3. 河北工业大学海洋科学与工程学院, 天津 300130

收稿日期:2015-07-27 修回日期:2015-09-10 出版日期:2016-03-05 发布日期:2016-01-12
通讯作者: 刘智勇
基金资助:
国家自然科学基金项目(21176057);国家重点基础研究发展计划项目(2012CB720305);河北省现代海洋化工技术协同创新中心项目(HYHG201501)。

Design of distributed wastewater treatment networks of single contaminant with maximum inlet concentration constraints

LI Aihong^1,2, LIU Zhiyong³

1. School of Chemical Engineering, Hebei University of Technology, Tianjin 300130, China;
2. Department of Chemical Engineering, Chengde Petroleum College, Chengde 067000, Hebei, China;
3. School of Marine Science and Engineering, Hebei University of Technology, Tianjin 300130, China

Received:2015-07-27 Revised:2015-09-10 Online:2016-03-05 Published:2016-01-12
Contact: 67
Supported by:
supported by the National Natural Science Foundation of China (21176057), the National Basic Research Program of China (2012CB720305) and the Research Funds for College Students of Modern Marine Chemical Engineering Technology Synergy Innovation Center of Hebei Province (HYHG201501).

摘要/Abstract

摘要：

分布式废水处理系统集成的本质特征之一是通过最大程度减少不必要的水流混合量而降低系统的总处理量。根据这一思想,提出了一种基于启发式规则的方法设计废水处理单元有最大入口浓度限制的单杂质废水处理系统。首先依据提出的规则确定处理单元的执行顺序,并在此基础上建立初始网络结构;然后通过计算确定最终网络结构。在设计过程中,上述规则的运用和最终网络结构的确定需要与杂质负荷平衡、夹点确定等废水处理网络设计的基本概念以及入口浓度限制条件相结合。对文献实例的研究表明,结果与数学规划法的求解结果相当,但设计过程更为简单且具有明确的工程意义。

关键词: 废水, 分布式处理, 入口浓度限制, 水网络, 集成, 优化设计

Abstract:

One of the important essences of distributed wastewater treatment system integration is to reduce the total treatment flow rate by lowering unnecessary stream mixing amount as much as possible. Based on this insight, a heuristic method is presented for design of distributed wastewater treatment network (WTN) of single contaminant with maximum inlet concentration constraints. Firstly, an initial network is developed based on the precedence order of treatment units and the allocation of streams to treatment units obtained by using the heuristic rules proposed. The final design can then be obtained with mass and flow rate balances. In the design procedure, the following factors will be used simultaneously: heuristic rules proposed, mass and flow rate balances, determination of the pinch point and maximum inlet concentration constraints. The results of a few literature examples show that the designs obtained with the proposed method are comparable to that obtained with mathematical programming approach. However, the proposed method is simple and of clear engineering insight.

Key words: wastewater, distributed wastewater treatment system, inlet concentration constraint, water network, integration, optimal design

中图分类号:

TQ021.8

李爱红, 刘智勇. 有最大入口浓度限制的单杂质废水处理网络设计[J]. 化工学报, 2016, 67(3): 1015-1021.

LI Aihong, LIU Zhiyong. Design of distributed wastewater treatment networks of single contaminant with maximum inlet concentration constraints[J]. CIESC Journal, 2016, 67(3): 1015-1021.

参考文献 22

[1]	MCLAUGHLIN L A, MCLAUGHLIN H S, GROFF K A. Develop an effective wastewater treatment strategy[J]. Chemical Engineering and Processing, 1992, 88 (9): 34-42.
[2]	WANG Y P, SMITH R. Design of distributed effluent treatment systems[J]. Chemical Engineering Science, 1994, 49 (18): 3127-3145.
[3]	KUO W C J, SMITH R. Effluent treatment system design[J]. Chemical Engineering Science, 1997, 52 (23): 4273-4290.
[4]	尚大军, 刘智勇. 化工园区污水处理系统集成研究进展[J]. 化工进展, 2013, 32 (S1): 217-221. SHANG D J, LIU Z Y. Development of synthesis of wastewater treatment systems of chemical industrial parks[J]. Chemical Industry and Engineering Progress, 2013, 32 (S1): 217-221.
[5]	TAKAMA N, KURIYAMA T, SHIROKO K, et al. Optimal water allocation in a petroleum refinery[J]. Computers & Chemical Engineering, 1980, 4 (4): 251-258.
[6]	KUO W C J, SMITH R. Designing for the interactions between water-use and effluent treatment[J]. Chemical Engineering Research and Design, 1998, 76 (3): 287-301.
[7]	NG D K S, FOO D C Y, TAN R R. Targeting for total water network (Ⅱ): Waste treatment targeting and interactions with water system elements[J]. Industrial & Engineering Chemistry Research, 2007, 46 (26): 9114-9125.
[8]	廖祖维, 霍超, 武锦涛, 等. 最小化新鲜水量与废水处理量的图形方法[J]. 化工学报, 2007, 58 (9): 2281-2287. LIAO Z W, HUO C, WU J T, et al. Conceptual approach for targeting water allocation networks[J]. Journal of Chemical Industry and Engineering (China), 2007, 58 (9): 2281-2287.
[9]	SOO S S T, TOH E L, YAP K K K, et al. Synthesis of distributed wastewater treatment networks for one-and two-contaminant systems[J]. Chemical Engineering Research and Design, 2013, 91 (1): 106-119.
[10]	GALAN B, GROSSMANN I E. Optimal design of distributed wastewater treatment networks[J]. Industrial & Engineering Chemistry Research, 1998, 37 (10): 4036-4048.
[11]	HERNANDEZ-SUAREZ R, CASTELLANOS-FERNANDEZ J, ZAMORA J M. Superstructure decomposition and parametric optimization approach for the synthesis of distributed wastewater treatment networks[J]. Industrial & Engineering Chemistry Research, 2004, 43 (9): 2175-2191.
[12]	刘永健, 罗祎青, 袁希钢. 基于粒子群优化算法的分散式废水处理网络的综合[J]. 天津大学学报, 2006, 39 (1): 16-20. LIU Y J, LUO Y Q, YUAN X G. Synthesis of distributed wastewater treatment networks based on particle swarm optimization[J]. Journal of Tianjin University, 2006, 39 (1): 16-20.
[13]	STATYUKHA G, KVITKA O, DZHYGYREY I, et al. A simple sequential approach for designing industrial wastewater treatment networks[J]. Journal of Cleaner Production, 2008, 16 (2): 215-224.
[14]	CASTRO P M, TELES J P, NOVAIS A Q. Linear program-based algorithm for the optimal design of wastewater treatment systems[J]. Clean Technologies and Environmental Policy, 2009, 11 (1): 83-93.
[15]	李英, 周集体, 姚平经. 水夹点分析与数学规划法相结合的废水处理网络优化设计[J]. 大连理工大学学报, 2010, 50 (1): 38-41. LI Y, ZHOU J T, YAO P J. Optimal design of wastewater treatment networks by combination of water pinch analysis and mathematical programming[J]. Journal of Dalian University of Technology, 2010, 50 (1): 38-41.
[16]	TELES J P, CASTRO P M, MATOS H A. Global optimization of water networks design using multiparametric disaggregation[J]. Computers & Chemical Engineering, 2012, 40: 132-147.
[17]	PARK D, LEE D S, LIM S R. Eco-design of a wastewater treatment system based on process integration[J]. Industrial & Engineering Chemistry Research, 2013, 52 (6): 2379-2388.
[18]	SHI J, LIU Z Y. A simple method for design of distributed wastewater treatment systems with multiple contaminants[J]. AIChE Journal, 2011, 57 (11): 3226-3232.
[19]	LIU Z H, SHI J, LIU Z Y. Design of distributed wastewater treatment systems with multiple contaminants[J]. Chemical Engineering Journal, 2013, 228 (14): 381-391.
[20]	LI A H, YANG Y Z, LIU Z Y. A numerical-indicator-based method for design of distributed wastewater treatment systems with multiple contaminants[J]. AIChE Journal, 2015, 61 (10): 3223-3231.
[21]	李保红, 费维扬, 姚平经. 单杂质废水处理网络设计[J]. 化工学报, 2003, 54 (12): 1733-1739. LI B H, FEI W Y, YAO P J. New design method for effluent treatment system with single contaminant[J]. Journal of Chemical Industry and Engineering (China), 2003, 54 (12): 1733-1739.
[22]	LIU Z H, SHI J, LIU Z Y. Design of wastewater treatment networks with single contaminant[J]. Chemical Engineering Journal, 2012, 192 (2): 315-325.

有最大入口浓度限制的单杂质废水处理网络设计

Design of distributed wastewater treatment networks of single contaminant with maximum inlet concentration constraints

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