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Program THURSDAY 20 OCT

[China Standard Time]

Thursday, 20 October 2022
Session 1 ICA for resource recovery
Chairs：Guangming Jiang (University of Wollongong, AUSTRILIA)，
Feng Jiang (Sun Yat-Sen University, CHINA)
17:00-17:15 (Keynote) Emerging technologies for energy balance using on-line monitoring and control systems supported by mathematical modelling and computer simulations in WWTPs/WRRFs Jakub Drewnowski(Gdansk University of Technology, POLAND)
17:15-17:25 Integrating solar energy and local water recovery of household water – operating experiences of an automated system Thomas Gillblad (Lund University, SWEDEN)
17:25-17:35 Effective experimental design and data reconciliation for water resource recovery facilities Paula Carrera (Ghent University, BELGIUM)
17:35-17:45 A sludge handling control strategy for maximising phosphorus recovery in EBPR WRRFs Miguel Roldán (Universitat de València, SPAIN)
17:45-17:55 Digital Twins for Water Resource Recovery Facilities (WRRFs): Lessons learned from full-scale applications Christopher E. Gaszynski (DHI A/S, DENMARK)
17:55-18:15 Discussion 　
18:15-18:25 Break 　
Session 2 Modelling for process control
Chairs: Siyu Zeng (Tsinghua University, CHINA),
Yiwen Liu (Tianjin University, CHINA)
18:25-18:40
(Keynote)		 Design and runtime environment for model-based predictive controllers in water management Jens Alex (ifak e.V., GERMANY)
18:40-18:50 Data-driven intelligent management method for WWTPs supported by ASM Model Dujiang Zhao (National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, CHINA)
18:50-19:00 Batch-to-batch iterative learning control for a stable partial-nitritation process in a full-scale SBR TaeYong Woo (Kyung Hee University, KOREA, SOUTH)
19:00-19:10 Inferring biologic kinetics of Sulfur driven Autotrophic Denitrification (SdAD) process with hybrid modelling approach Xu Zou (The Hong Kong University of Science and Technology, CHINA HONG KONG)
19:10-19:20 Process control for partial nitritation with a model incorporating pH dynamics Min Zheng (The University of Queensland, AUSTRIAL)
19:20-19:40 Discussion 　
19:40-20:10 Poster session 　
Session 3 Digital twins
Chairs: Zhirong Hu (Canada GL Environmental Technologies LTD, CANADA),
Jiuling Li (The University of Queensland, AUSTRILIA)
20:10-20:25 (Keynote) Mantis.AI – Digital twin for forecasting and optimizing future plant performance in real-time Jacob Barclay (Hatch, CANADA)
20:25-20:35 Automatic quality assessment of high frequency data from water resource recovery facilities without the need for expert-tuning Nathalia Covre (Université Laval - modelEAU, CANADA)
20:35-20:45 Automating design and control by coupling genetic algorithms with process simulators: A case study for hybrid MABR processes Cheng Yang (University of Michigan, UNITED STATES)
20:45-20:55 Reviving online respirometry for data-hungry WRRF digital twins Karen Mesta Ortega (modelEAU - Université Laval, CANADA)
20:55-21:05 Digital twin development implementation, and results for the Changi WRP, Singapore Bruce R Johnson (Jacobs, UNITED STATES)
21:05-21:25 Discussion 　
21:30-22:30 IWA ICA SG opening meeting  


Poster Session
Presenters should be ensured to be present in virtual Poster Display Area on the assigned date.  

Thursday, 20 October 2022
Theme Ⅳ: Modelling for process control
Multi-objective optimal control of Biogas Plants using Nonlinear Model Predictive Control Lorraine AWHANGBO (INRAE - Laboratoire de biotechnologie de l'environnement, FRANCE)
Public Awareness and Acceptance of Household Smart Water Meter in Guangzhou, China Yanhua Luo (REC Engineering Company Limited, CHINA HONG KONG)
Study and Practice of Digital Water based on Real-time Hydraulic Modelling Liang Yu (Shanghai Huishui Technology Co.Ltd, CHINA)
Prediction of membrane fouling in a pilot-scale AnMBR treating municipal wastewater by machine learning technologies Tianjie Wang (Tohoku University, JAPAN)
High-precision on-line monitoring flowmeter combined with automatic sampler laboratory analysis can diagnose abnormal inflow and trace pollution source Qiang Wang (Shanghai BioEnv Environmental Technology Co., Ltd, CHINA)
Prediction model of particle settling in sewer based on influencing factors Penghui Ji (Tsinghua University, CHINA)
ASM model development based on Julia Wenyu Wang (South University of Science and Technology of China, CHINA)
Design and implementation of a hybrid model for urban water supply forecasting based on FALE (FSF-ARIMA+ LSTM +e-learning) Qiang Wang (Busan University, KOREA, SOUTH) 
An integrated deep model for wastewater treatment forecasting using stacked autoencoder and LSTM based on attention mechanism Yun Geng (Nanjing Forestry University, CHINA)
Prediction of effluent quality in papermaking wastewater treatment processes using multivariate time series model with deep learning Yifeng Lu (Nanjing Forestry University, CHINA)
Assessment of secondary water supply based on K-means clustering Jiali Yu (Donghua University, CHINA)

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