典型城镇污水处理厂碳源智能投加控制生产性试验

吴宇行; 王晓东; 陈宁; 杨本亮; 颜廷梁; 黄青

doi:10.13205/j.hjgc.202206027

典型城镇污水处理厂碳源智能投加控制生产性试验

doi: 10.13205/j.hjgc.202206027

1. 青岛理工大学环境与市政工程学院, 山东青岛 266400;
2. 青岛道斯康环保科技有限公司, 山东青岛 266400;
3. 青岛首创瑞海水务公司, 山东青岛 266011

基金项目:

国家自然科学基金项目(51908303)

详细信息

作者简介:
吴宇行(1997-),男,硕士研究生,主要研究方向为污水处理与资源化。wyx_richard@163.com

通讯作者:
王晓东(1987-),男,博士,副教授,主要研究方向为污水处理与资源化、大数据与智慧水务。wangxiaodong@qut.edu.cn

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出版历程
- 收稿日期: 2021-10-29
- 网络出版日期: 2022-09-01
- 刊出日期: 2022-09-01

FULL-SCALE STUDY OF AN INTELLIGENT CARBON DOSING CONTROL SYSTEM IN A TYPICAL URBAN WASTEWATER TREATMENT PLANT

1. School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266400, China;
2. Qingdao DISCON Environmental Technology Co., Ltd, Qingdao 266400, China;
3. Qingdao Shouchuang Ruihai Water Co., Ltd, Qingdao 266011, China

摘要

摘要: 乙酸钠、甲醇等药剂是污水处理厂为保障反硝化脱氮效果所投加的外碳源,然而污水处理厂存在碳源实际投加量与反硝化碳源需求量不匹配的问题。针对污水生物处理过程反硝化碳源的动态需求,研究提出了基于在线实时监测的碳源投加智能控制算法,开发了污水处理碳源智能投加控制系统,以克服人工调控碳源投加存在的过量加药、调控滞后、碳排放量高以及工艺稳定性问题。在污水处理厂进行了4个月的生产性试验,结果表明:控制系统正式运行以来出水水质稳定达标,日均乙酸钠投加量与2020年同期相比降低了21.2%,月均节省乙酸钠药剂费用4.72万元。该项技术可在保障污水处理工艺稳定的前提下实现对碳源投加的精准控制,为污水处理厂自动化运行和减污降碳提供技术和装备支撑。
- 碳源投加系统 /
- 模型预测控制 /
- 自动控制 /
- 污水处理
Abstract: Sodium acetate and methanol are widely used as an external carbon source to enhance denitrification for nitrogen removal in wastewater treatment plants.However,the carbon dosage hardly matches the carbon requirement for denitrification properly in practice.To satisfy the dynamic requirements of carbon for denitrification in wastewater biological treatment processes,a real-time online surveillance based intelligent carbon dosing control algorithm was proposed and an intelligent carbon dosing control system was therefore developed to solve the problems caused by manual control of carbon dosing,e.g.over-dosing,time delay,extra carbon dioxide emission,and process stability.Full-scale tests were carried out at a wastewater treatment plant for four months,and the results indicated that the effluent achieved the discharging proposal constantly,meanwhile the sodium acetate consumption was reduced by 21.2% and the chemical cost for acetate acid was reduced by RMB 47200 per month.This work showed an approach to control carbon dosing accurately as well as stabilize the process,which provided technical and equipment support for WWTP automation and carbon emission reduction.
- dosage control system /
- model predictive control (MPC) /
- automatic control /
- wastewater treatment

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参考文献(28)

[1]	王洪臣.排水与污水处理行业应找准碳减排着力点[N]. https://wwwh2o-chinacom/news/328525html, 2021-10-11.
[2]	孙奎.污水处理自动加药系统设计与应用[J].科技创新与应用, 2017(4):27-8.
[3]	施俊.自来水厂自动加药控制系统改造设计及应用[D].上海:上海交通大学, 2018.
[4]	廖雪平.污水处理厂加药优化控制系统的研究与设计[D].广州:华南理工大学, 2011.
[5]	郝晓地,张益宁,李季,等.污水处理能源中和与碳中和案例分析[J].中国给水排水, 2021,37(20):1-8.
[6]	张焓雨.城镇污水处理成本控制研究[D].北京:北方工业大学, 2019.
[7]	李洁,吴学伟,杜成银,等.污水处理厂水质在线监测数据可靠性研究[J].环境工程, 2009, 27(6):109-111 ,4.
[8]	郑怀礼,李俊,孙强,等.城镇污水处理自动控制策略研究进展[J].土木与环境工程学报(中英文), 2020, 42(1):126-134.
[9]	安泳,柯崇宜,陈飞.青岛娄山河污水处理厂自动加药系统研究[J].工业水处理, 2018, 38(2):102-105.
[10]	LEE M W, PARK Y J, PARK J M, et al. Control of external carbon addition in biological nitrogen removal process for the treatment of coke-plant wastewater[J]. Water Environment Research, 2001, 73(4):415-425.
[11]	邱勇,李冰,刘垚,等.污水处理厂化学除磷自动控制系统优化研究[J].给水排水, 2016, 52(7):126-129.
[12]	侯莹.城市污水处理过程多目标优化控制方法及应用研究[D].北京:北京工业大学, 2018.
[13]	王君伟.水厂加药系统的优化控制[D].杭州:杭州电子科技大学, 2011.
[14]	杜胜利,张庆达,曹博琦,等.城市污水处理过程模型预测控制研究综述[J].信息与控制,2022,51(1):41-53.
[15]	彭正昌.污水处理控制系统设计与控制策略优化研究[D].天津:天津工业大学, 2020.
[16]	LIU X X, JING Y W, XU J H, et al. Ammonia control of a wastewater treatment process using model predictive control[C]//Proceedings of the 26th Chinese Control and Decision Conference (2014 CCDC), F, 2014. IEEE.
[17]	SANTÍN I, PEDRET C, VILANOVA R. Applying variable dissolved oxygen set point in a two level hierarchical control structure to a wastewater treatment process[J]. Journal of Process Control, 2015, 28:40-55.
[18]	FRANCISCO M, VEGA P, REVOLLAR S. Model predictive control of BSM1 benchmark of wastewater treatment process:a tuning procedure[C]//Proceedings of the 201150th IEEE Conference on Decision and Control and European Control Conference, F, 2011. IEEE.
[19]	PIOTROWSKI R, SAWICKI H, Z·UK K. Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP[J]. Journal of Process Control, 2021, 105(2):78-87.
[20]	TEJASWINI E, PANJWANI S, BABU G, et al. Model based control of a full-scale biological wastewater treatment plant[J].IFAC-Papers Online, 2020, 53(1):208-213.
[21]	OSTACE G S, CRISTEA V M, AGACHI P Ș, et al. Cost reduction of the wastewater treatment plant operation by MPC based on modified ASM1 with two-step nitrification/denitrification model[J]. Computers&Chemical Engineering, 2011, 35(11):2469-2479.
[22]	左旭岩.基于PLC的污水处理控制系统研究及工程应用[D].广州:华东理工大学, 2016.
[23]	王建平. PLC在水厂加药自动控制系统中的应用[J].科技资讯, 2011(11):105.
[24]	SHAO L G. Operation of urban WTP in south China[J]. Water&Wastewater, 1999, 25(2):11-13.
[25]	朴恒.污水处理厂全流程数据挖掘技术及虚拟监测模型[D].青岛:青岛理工大学, 2021.
[26]	WANG Q B, CHEN Q W, CHEN J, et al. Optimizing external carbon source addition in domestics wastewater treatment based on online sensoring data and a numerical model[J]. Water Science&Technology, 2017, 75(11/12):2716-2725.
[27]	GANDHA G I, NURCIPTO D. Fuzzy PID algorithm-based external carbon controller for denitrification process enhancement in wastewater treatment plant[J]. Jurnal Infotel, 2018, 10(4):178-185.
[28]	张元元,师小明.碳源投加自适应控制系统设计[J].集成电路应用, 2021, 38(9):34-35 ,8.