A Julia-based activated sludge modeling program for emerging contaminants management
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Waterinfrastructuur
Artikelen
“Modeling the sewage treatment process is essential for optimizing operations and upgrading facilities in the wastewater treatment plant (WWTP). Activated sludge models (ASMs) have been developed for more than 20 years and there has been much commercial software available. However, the original code for ASM is necessary for more freely updating and controlling WWTP processes under different scenarios. Julia, as an emerging scientific computing language, boasts rapid compilation capabilities and exhibits high-performance attributes ideal for industrial control applications. This study aims to develop a new ASM program based on Julia language. It was calibrated and verified by real monitoring data and sensitivity analysis was conducted. The new program provides a fundamental tool for aeration control, reflux ratio adjustment, and dosage determination, which helps in conserving energy and reducing costs in WWTP. This program is currently under full-scale testing in a county-level WWTP in Henan Province. In addition, the escalating concern over emerging pollutants is a focal point of this thesis, which outlines a perspective briefly proposing an integrated modeling framework for activated sludge model-emerging contaminants coupling control strategy. This framework serves as a foundation for the future advancement of strategies managing emerging pollutants.”
(Citation: Jiping Jiang, Wenyu Wang, Qiuhua Jian, Rong He, Bingyan Liu, Zhaobo Chen – Chapter 33 – A Julia-based activated sludge modeling program for emerging contaminants management – Editor(s): Bin Liang, Shu-Hong Gao, Hong-Cheng Wang, Ai-Jie Wang – Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants – Elsevier, 2024, Pages 551-562, ISBN 9780443141706 – https://doi.org/10.1016/B978-0-443-14170-6.00039-1)
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