Multiplicity of solutions in model‑based multi objective optimization of wastewater treatment plants
Ver/
Compartir
Estadísticas
Ver Estadísticas de usoMetadatos
Mostrar el registro completo del ítemAutor
Ortiz Martínez, Víctor Manuel; Martínez Frutos, Jesús; Hontoria Hernández, Eloy; Hernández Fernández, Francisco José; Egea Larrosa, José AlbertoÁrea de conocimiento
Mecánica de Medios Continuos y Teoría de EstructurasPatrocinadores
The authors are grateful to Ministry of Science, Innovation and Universities (MICINN) and FEDER for their fnancial support (Projects DPI2016-77538-R and RTI2018-099139-B-C21)Fecha de publicación
2020-04-22Editorial
SpringerCita bibliográfica
Ortiz-Martínez, V.M., Martínez-Frutos, J., Hontoria, E. et al. Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants. Optim Eng 22, 1–16 (2021). https://doi.org/10.1007/s11081-020-09500-3Palabras clave
Wastewater treatment plantMultiobjective optimization
Dynamic optimization
Multiple solutions
Resumen
Wastewater treatment process design involves the optimization of multiple conflicting objectives. The detection of different equivalent solutions in terms of objective values is crucial for designers in order to efficiently switch to the new optimal operation policies if changes in the process conditions or new constraints occur. In this work, the dynamic multi-objective optimization of a municipal wastewater treatment plant model is carried out. The aim is to simultaneously optimize an economic cost term and an effluent quality index. The selected process variables for the optimization are (1) an aeration factor in the aerated tank previous to the clarifier, and (2) an internal recycle flow rate. Their time profiles are approximated using the control vector parameterization technique. To solve the multi-objective problem and find the Pareto front, the NSGA-II algorithm has been used. The simulation of different realistic scenarios which impose operational constraints (e.g., maintenance ...
Colecciones
- Artículos [1713]
El ítem tiene asociados los siguientes ficheros de licencia:
Redes sociales