OPERATION DIAGNOSIS AND CARBON SOURCE OPTIMIZATION OF YONGCHUAN WASTEWATER TREATMENT PLANT USING PROCESS MODELING

WANG Qian; DENG Qiaosi; WU Wei; AI Fangyi; DU Junli; ZHANG Yuanhe; BAI Fan; LEI Mingming; QU Ruihua; GAN Yang; DU Weiwei

doi:10.13205/j.hjgc.202206028

Volume 40 Issue 6

Sep. 2022

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2022 > 40(6): 219-225

WANG Qian, DENG Qiaosi, WU Wei, AI Fangyi, DU Junli, ZHANG Yuanhe, BAI Fan, LEI Mingming, QU Ruihua, GAN Yang, DU Weiwei. OPERATION DIAGNOSIS AND CARBON SOURCE OPTIMIZATION OF YONGCHUAN WASTEWATER TREATMENT PLANT USING PROCESS MODELING[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 219-225. doi: 10.13205/j.hjgc.202206028

Citation:

WANG Qian, DENG Qiaosi, WU Wei, AI Fangyi, DU Junli, ZHANG Yuanhe, BAI Fan, LEI Mingming, QU Ruihua, GAN Yang, DU Weiwei. OPERATION DIAGNOSIS AND CARBON SOURCE OPTIMIZATION OF YONGCHUAN WASTEWATER TREATMENT PLANT USING PROCESS MODELING[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 219-225. doi: 10.13205/j.hjgc.202206028

Citation:

WANG Qian, DENG Qiaosi, WU Wei, AI Fangyi, DU Junli, ZHANG Yuanhe, BAI Fan, LEI Mingming, QU Ruihua, GAN Yang, DU Weiwei. OPERATION DIAGNOSIS AND CARBON SOURCE OPTIMIZATION OF YONGCHUAN WASTEWATER TREATMENT PLANT USING PROCESS MODELING[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 219-225. doi: 10.13205/j.hjgc.202206028

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OPERATION DIAGNOSIS AND CARBON SOURCE OPTIMIZATION OF YONGCHUAN WASTEWATER TREATMENT PLANT USING PROCESS MODELING

doi: 10.13205/j.hjgc.202206028

1. Chongqing Yuxi Water Co., Ltd, Chongqing 402160, China;
2. Sichuan Wentao Engineering Technology Co., Ltd, Chengdu 610000, China;
3. Chongqing Yuxi Water Co., Ltd, Yongchuan Branch, Chongqing 402160, China;
4. Chongqing Yuantong Electronic Technology Development Co., Ltd, Chongqing 400000, China

Received Date: 2021-12-15
Available Online: 2022-09-01
Publish Date: 2022-09-01

Abstract

Abstract

The whole plant models were set up for Phase Ⅰ and Phase Ⅱ processes at Yongchuan wastewater treatment plant (WWTP) to evaluate the operation conditions and to determine the potential optimization strategies.The historical data for 1.5 years and supplementary experimental data of Chongqing Yongchuan sewage treatment plant were collected,analyzed and used for the model calibration.And its influent water quality characteristics,operation mode and biochemical reaction state were determined.The digital simulation based on the mechanism model was completed for its annual average state and duration fluctuation state.The historical and current operation conditions of the WWTP was assessed for the potential problems and risks.The optimization strategies including operation improvement and external carbon reduction were determined using the calibrated models.Through the adjustment of operation parameters,the risk of overload of secondary sedimentation tank and uneven distribution of sludge in the system could be effectively avoided with operating at a reasonable sludge age and using inlet water quality characteristics,it could reduce the addition of additional carbon source and reagent on the premise that the effluent quality was stable and up to standard.The quantitative evaluation of the external carbon addition was carried out under average,extreme,and dynamic conditions,respectively.As the result of dynamic simulation analysis:with the improvement on operation parameters such as recycle flow and sludge wastage,the annual average methanol addition can be reduced to 80% for Phase Ⅰ and 60% for Phase Ⅱ,respectively,as compared to the actual dosage at WWTP.
- municipal wastewater,
- wastewater treatment,
- BioWin,
- process modelling,
- operation optimization,
- external carbon source

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References(20)

References

[1]	BARKER P, DOLD P. General model for biological nutrient removal activated-sludge systems:model presentation[J]. Water Environment Research,1997, 69(5):969-984.
[2]	胡志荣,卢欢亮,杜惟玮,等.应用工艺模拟改善佛山市高明区第一污水处理厂的运行管理[J].给水排水, 2013, 39(11):105-109.
[3]	沈童刚,邱勇,应启锋,等.污水处理厂模拟软件BioWin的应用[J].给水排水, 2009, 35(zl):459-462.
[4]	SHAO Q, WAN F, DU W, et al. Enhancing biological nitrogen removal for a retrofit project using wastewater with a low C/N ratio:a model-based study[J]. Environ Sci Pollut Res, 2021, 28:53074-53086.
[5]	牛涛,安平林,袁伯威,等.污水处理厂全流程模拟软件BioWin在中国应用综述[J].广东化工,2018,45(1):148-151.
[6]	杭晨,牛涛,孙立柱,等.基于BioWin的城市污水处理厂全流程处理工艺模拟与优化[J].给水排水, 2018, 44(7):134-140.
[7]	陈浩林,彭轶,安东,等.基于BioWin软件对多级A/O工艺的运行优化[J].中国给水排水, 2020, 36(19):60-66.
[8]	王醒,房婷婷,丁彬彬,等. BioWin仿真软件在污水处理中的应用研究[J].广东化工, 2020, 47(3):128-132.
[9]	杜惟玮,焦云强,朱贤坤,等.工艺模拟在炼化企业污水处理厂智慧管理与优化中的应用[C]//《中国给水排水》首届智慧建造×智慧水务融合创新技术论坛论文集,2021, 200-211.
[10]	DU W, DENG Q, BYE C. Using process modeling to overcome the challenge of operating a biological wastewater treatment process treating fertilizer wastewater[C]. IWA Water in Industry, Nanjing, 2021.
[11]	韩振波,孙从军,范宇.基于BioWin的污水处理工艺模拟及优化分析-上海市松江西部污水处理厂一期改造工程[J].环境工程,2013,31(增刊1):233-239.
[12]	国家环境保护总局、国家质量监督检验检疫总局.城镇污水处理厂污染物排放标准:GB 18918-2002[S]. 2002.
[13]	DOLD P, JONES R, TAKACS I, et al. Practical guidance for WWTP model calibration and associated data gathering requirements[J]. Proceedings of the Water Environment Federation, 2003:202-224.
[14]	Calibration of wastewater plant simulators, Chapter 4 Assessing plant data,[M]. EnviroSim Associates Ltd, Hamilton, Canada, 2010.
[15]	MELCER H, DOLD P. Methods for wastewater characterization in activated sludge modeling[R]. WERF, 2004.
[16]	PETERSEN B, GERNAEY K, HENZE M, et al. Calibration of activated sludge models:a critical review of experimental designs. Biotechnology for the environment:wastewater treatment and modelling, waste gas handling[M]. Springer Netherlands, 2003, 3C:101-186.
[17]	董进波,张磊,陈恒宝,等. Biolak工艺的BioWin稳态模拟及优化研究[J].环境科学与管理,2015, 40(11):96-101.
[18]	李鑫玮,牛庆利,周军,等. BioWin在污水脱氮除磷系统中的应用研究[J].水工业市场,2009, 11:38-41.
[19]	孙艳,张逢,胡洪营,等.重庆市污水处理厂进水水质特征分析[J].环境科学与技术,2014(1):403-408.
[20]	尹亚云,蒲文鹏,陈永娟,等.污水处理厂外加碳源模拟优化研究[J].给水排水,2021,47(S1):156-159.