Advanced Technology and Applications of Artificial Intelligence in Wastewater Treatment
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 99
Special Issue Editors
Interests: wastewater treatment plants; sewer networks; wastewater treatment; water quality
Special Issue Information
Dear Colleagues,
The field of wastewater treatment has been researched by numerous interdisciplinary teams, including process engineers, chemical engineers, microbiologists and control engineers, collaborating to discover optimal solutions to the complex problems of wastewater treatment. Considering that these processes are nonlinear, highly complex and strongly affected by uncertainties (parameter and model uncertainties), these processes have become a significant challenge for modeling, identification and control specialists to develop advanced methods in order to increase the efficiency of the wastewater treatment process.
Research in the field of wastewater treatment has evolved in two important directions:
- The modernization of infrastructure for wastewater collection and treatment in urban areas in parallel with the development of new wastewater treatment technologies;
- The development and use of new automation methods (mathematical modeling, advanced control strategies, process optimization, applications of artificial intelligence) in order to increase the efficiency of wastewater treatment processes.
In particular, artificial intelligence applications have the potential to solve the problems faced by wastewater treatment systems, the results of which manifest as significant cost savings through the accurate prediction of process behavior and efficient operational optimization.
We can successfully apply solutions based on advanced technology and artificial intelligence that solve the following problems:
- Optimizing control processes within a wastewater treatment plant.
- The predictive maintenance of assets within treatment plants.
- Intelligent monitoring of quality parameters of treated water.
- Optimizing anaerobic digestion processes to maximize biogas production and reduce carbon footprint.
- Intelligent management of energy-consuming operations based on scheduled operation in the minimum cost period.
- The dynamic optimization of treatment processes by adjusting the operational parameters.
- Optimizing the dosing processes within treatment plants
Dr. Laurentiu Luca
Dr. Sergiu Caraman
Guest Editors
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Keywords
- advanced control strategy
- process optimization
- optimal setpoint-based control
- predictive maintenance
- artificial intelligence application
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