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58. Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning

Author

Chen, Kehua, Wang, Hongcheng, Valverde-Perezc, Borja, Zhai, Siyuan, Vezzaro, Luca, and Wang, Aijie

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control
Abstract

Wastewater treatment plants are designed to eliminate pollutants and alleviate environmental pollution. However, the construction and operation of WWTPs consume resources, emit greenhouse gases (GHGs) and produce residual sludge, thus require further optimization. WWTPs are complex to control and optimize because of high nonlinearity and variation. This study used a novel technique, multi-agent deep reinforcement learning, to simultaneously optimize dissolved oxygen and chemical dosage in a WWTP. The reward function was specially designed from life cycle perspective to achieve sustainable optimization. Five scenarios were considered: baseline, three different effluent quality and cost-oriented scenarios. The result shows that optimization based on LCA has lower environmental impacts compared to baseline scenario, as cost, energy consumption and greenhouse gas emissions reduce to 0.890 CNY/m3-ww, 0.530 kWh/m3-ww, 2.491 kg CO2-eq/m3-ww respectively. The cost-oriented control strategy exhibits comparable overall performance to the LCA driven strategy since it sacrifices environmental bene ts but has lower cost as 0.873 CNY/m3-ww. It is worth mentioning that the retrofitting of WWTPs based on resources should be implemented with the consideration of impact transfer. Specifically, LCA SW scenario decreases 10 kg PO4-eq in eutrophication potential compared to the baseline within 10 days, while significantly increases other indicators. The major contributors of each indicator are identified for future study and improvement. Last, the author discussed that novel dynamic control strategies required advanced sensors or a large amount of data, so the selection of control strategies should also consider economic and ecological conditions.

Published
2020
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59. Optimisation of Wastewater Treatment Strategies in Eco-Industrial Parks: Technology, Location and Transport

Author

ODwyer, Edward, Chen, Kehua, Wang, Hongcheng, Wang, Aijie, Shah, Nilay, and Guo, Miao

Subjects
Mathematics - Optimization and Control
Abstract

The expanding population and rapid urbanisation, in particular in the Global South, are leading to global challenges on resource supply stress and rising waste generation. A transformation to resource-circular systems and sustainable recovery of carbon-containing and nutrient-rich waste offers a way to tackle such challenges. Eco-industrial parks have the potential to capture symbioses across individual waste producers, leading to more effective waste-recovery schemes. With whole-system design, economically attractive approaches can be achieved, reducing the nvironmental impacts while increasing the recovery of high-value resources. In this paper, an optimisation framework is developed to enable such design, allowing for wide ranging treatment options to be considered capturing both technological and fnancial detail. As well as technology selection, the framework also accounts for spatial aspects, with the design of suitable transport networks playing a key role. A range of scenarios are investigated using the network, highlighting the multi-faceted nature of the problem. The need to incorporate the impact of resource recovery at the design stage is shown to be of particular importance., Comment: 31 pages, 13 figures

Published
2020
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60. U.S.–China Collaboration is Vital to Global Plans for a Healthy Environment and Sustainable Development

Author

Xu, Ming, Daigger, Glen T, Xi, Chuanwu, Liu, Jianguo, Qu, Jiuhui, Alvarez, Pedro J, Biswas, Pratim, Chen, Yongsheng, Dolinoy, Dana, Fan, Ying, Gao, Huaizhu Oliver, Hao, Jiming, He, Hong, Kammen, Daniel M, Lemos, Maria Carmen, Liu, Fudong, Love, Nancy G, Lu, Yonglong, Mauzerall, Denise L, Miller, Shelie A, Ouyang, Zhiyun, Overpeck, Jonathan T, Peng, Wei, Ramaswami, Anu, Ren, Zhiyong, Wang, Aijie, Wu, Brian, Wu, Ye, Zhang, Junfeng, Zheng, Chunmiao, Zhu, Bing, Zhu, Tong, Chen, Wei-Qiang, Liu, Gang, Qu, Shen, Wang, Chunyan, Wang, Yutao, Yu, Xueying, Zhang, Chao, and Zhang, Hongliang

Subjects
China, Environment, Sustainable Development, sustainable development, Sustainable Development Goal, international collaboration, US, U.S., Environmental Sciences
Published
2021

89. Application of sulfur-based functional materials in advanced nitrogen removal for wastewater: Research progress and development tendency

Author

QIAN Zhimin, SUN Yilu, ZHANG Xuening, SHAO Chenyang, ZHANG Jingzhe, PAN Chenchen, CHENG Haoyi, REN Nanqi, and WANG Aijie

Subjects
sulfurbased functional materials, microorganisms, autotrophic denitrification, deep nitrogen removal, engineering application, Renewable energy sources, TJ807-830, Environmental protection, TD169-171.8
Abstract

In order to reduce the pollution pressure of nitrogen pollutants from human life and industrial productions on natural water body, China government has been constantly raising the standards of total nitrogen emissions from sewage treatment plants in recent years, which poses great challenge to wastewater denitrification technology on performance stability and economical efficiency. Sulfur Autotrophic Denitrification technology, with a distinct advantage on cost, sludge yield and carbon emission while without low carbon nitrogen ratio limitation, has received widespread attention in academia and industry. After long-term research accumulation and engineering practice, Sulfur Autotrophic Denitrification technology has developed and derived a variety of process systems. This paper focuses on the process of autotrophic denitrification system driven by sulfur-based functional materials, systematically reviews the types and properties of functional materials, enriched characteristic functional microorganisms, adaptive process systems and engineering application status. It aims to clarify the research progress and predict the development direction of this technology.

Published
2023
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90. Author Correction: Global diversity and biogeography of bacterial communities in wastewater treatment plants

Author

Wu, Linwei, Ning, Daliang, Zhang, Bing, Li, Yong, Zhang, Ping, Shan, Xiaoyu, Zhang, Qiuting, Brown, Mathew Robert, Li, Zhenxin, Van Nostrand, Joy D, Ling, Fangqiong, Xiao, Naijia, Zhang, Ya, Vierheilig, Julia, Wells, George F, Yang, Yunfeng, Deng, Ye, Tu, Qichao, Wang, Aijie, Zhang, Tong, He, Zhili, Keller, Jurg, Nielsen, Per H, Alvarez, Pedro JJ, Criddle, Craig S, Wagner, Michael, Tiedje, James M, He, Qiang, Curtis, Thomas P, Stahl, David A, Alvarez-Cohen, Lisa, Rittmann, Bruce E, Wen, Xianghua, and Zhou, Jizhong

Subjects
Microbiology, Biological Sciences, Global Water Microbiome Consortium, Medical Microbiology
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

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