Transforming data into actionable knowledge for fault detection, diagnosis and prognosis in urban wastewater systems with AI techniques: A mini-review

Y Liu, P Ramin, X Flores-Alsina, KV Gernaey - Process Safety and …, 2023 - Elsevier
Recent advances in artificial intelligence (AI) and data analytics (DA) could provide
opportunities for the fault management and the decision-making of the urban wastewater …

[HTML][HTML] Revolutionizing wastewater treatment toward circular economy and carbon neutrality goals: Pioneering sustainable and efficient solutions for automation and …

S Cairone, SW Hasan, KH Choo, DF Lekkas… - Journal of Water …, 2024 - Elsevier
Wastewater treatment plants (WWTPs) play a crucial role in ensuring a safe environment by
effectively removing contaminants and minimizing pollutant discharges. Compliance with …

Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability

M Khalil, A AlSayed, Y Liu, PA Vanrolleghem - Water Research, 2023 - Elsevier
Nitrous oxide (N 2 O) emissions may account for up to 80% of a wastewater treatment plant's
(WWTP) total carbon footprint. Given the complexity of the pathways involved, estimating N 2 …

High fidelity digital twin-based anomaly detection and localization for smart water grid operation management

ZY Wu, A Chew, X Meng, J Cai, J Pok… - Sustainable Cities and …, 2023 - Elsevier
Abstract Smart Water Grid (SWG) plays a critical role in sustaining cities economic and
social development, but challenges remain in fully realizing the benefits of SWG. While …

MachIne learning for nutrient recovery in the smart city circular economy–A review

A Soo, L Wang, C Wang, HK Shon - Process safety and environmental …, 2023 - Elsevier
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

Deep learning optimization for soft sensing of hard-to-measure wastewater key variables

JJ Zhu, S Borzooei, J Sun, ZJ Ren - ACS ES&T Engineering, 2022 - ACS Publications
Soft sensors can be an essential part of a digital twin to acquire critical wastewater
information for operation optimization. Soft sensor predictions have been successfully …

A full‐scale operational digital twin for a water resource recovery facility—A case study of Eindhoven Water Resource Recovery Facility

S Daneshgar, F Polesel, S Borzooei… - Water Environment …, 2024 - Wiley Online Library
Digital transformation for the water sector has gained momentum in recent years, and many
water resource recovery facilities modelers have already started transitioning from …

Towards good modelling practice for parallel hybrid models for wastewater treatment processes

L Verhaeghe, J Verwaeren, G Kirim… - Water Science & …, 2024 - iwaponline.com
This study explores various approaches to formulating a parallel hybrid model (HM) for
Water and Resource Recovery Facilities (WRRFs) merging a mechanistic and a data-driven …

Hybrid modelling of nitrogen removal by biofiltration using high-frequent operational data

M Serrao, V Jauzein, I Juran, B Tassin… - Water Science & …, 2024 - iwaponline.com
In this research, a parallel hybrid model is presented for the simulation of nitrogen removal
by submerged biofiltration of a very large-size wastewater treatment plant. This hybrid model …

Dynamic calibration of a new secondary settler model using cand. microthrix as a predictor of settling velocity

Y Qiu, T Hug, DS Wágner, BF Smets, B Valverde-Pérez… - Water Research, 2023 - Elsevier
Climate change is projected to increase the frequency of hydraulic shocks on urban water
systems, affecting water resource recovery facilities (WRRFs). In these facilities, the …