A5016991004- Wastewater Treatment and Nitrogen Removal
- Membrane Separation Technologies
- Granular flow and fluidized beds
- Mineral Processing and Grinding
- Advanced Control Systems Optimization
- Drug Solubulity and Delivery Systems
- Water Quality Monitoring and Analysis
- Membrane-based Ion Separation Techniques
- Fluid Dynamics and Mixing
- Water Systems and Optimization
- Coagulation and Flocculation Studies
- Groundwater flow and contamination studies
- Water Quality Monitoring Technologies
- Water Treatment and Disinfection
- Fault Detection and Control Systems
- Urban Stormwater Management Solutions
- Process Optimization and Integration
- Protein purification and stability
- Cyclone Separators and Fluid Dynamics
- Water-Energy-Food Nexus Studies
- Reservoir Engineering and Simulation Methods
- Hydrology and Watershed Management Studies
- Viral Infectious Diseases and Gene Expression in Insects
- Crystallization and Solubility Studies
- Microbial Metabolic Engineering and Bioproduction
Ghent University
2015-2024
Centre for Advanced Process Technology for Urban Resource Recovery
2020-2024
Université Laval
2010-2024
Ghent University Hospital
2011-2024
KTH Royal Institute of Technology
2024
Universidade Federal de São Carlos
2024
Universidade de São Paulo
2024
IVL Swedish Environmental Research Institute
2024
University of York
2021
University of Maryland, College Park
2021
Digital Twins (DTs) are on the rise as innovative, powerful technologies to harness power of digitalisation in WRRF sector. The lack consensus and understanding when it comes definition, perceived benefits technological needs DTs is hampering their widespread development application. Transitioning from traditional modelling practice into DT applications raises a number important questions: When model's predictive acceptable for DT? Which frameworks most suited applications? data structures...
Over a decade ago, the concept of objectively evaluating performance control strategies by simulating them using standard model implementation was introduced for activated sludge wastewater treatment plants. The resulting Benchmark Simulation Model No 1 (BSM1) has been basis significant new development that is reported on here: Rather than only at level unit (bioreactors and secondary clarifier) BSM2 now allows evaluation whole plant, including primary clarifier with anaerobic digestion. In...
The COST/IWA Benchmark Simulation Model No 1 (BSM1) has been available for almost a decade. Its primary purpose to create platform control strategy benchmarking of activated sludge processes. fact that the research work related benchmark simulation models resulted in more than 300 publications worldwide demonstrates interest and need such tools within community. Recent efforts IWA Task Group on “Benchmarking strategies WWTPs” have focused an extension model. This aims at facilitating...
Microbial communities play a key role in biological wastewater treatment processes. Activated sludge settling characteristics, for example, are affected by microbial community composition, varying changes operating conditions and influent characteristics of plants (WWTPs). Timely assessment prediction composition leading to problems, such as filamentous bulking (FB), can prevent operational challenges, reductions efficiency, adverse environmental impacts. This study presents an innovative...
Abstract Digital transformation for the water sector has gained momentum in recent years, and many resource recovery facilities modelers have already started transitioning from developing traditional models to digital twin (DT) applications. DTs simulate operation of treatment plants near real time provide a powerful tool operators process engineers real‐time scenario analysis calamity mitigation, online optimization, predictive maintenance, model‐based control, so forth. So far, only few...