Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants

Ortiz-Martínez, V.M.; Martínez-Frutos, Jesús; Hontoria, Eloy; Hernández-Fernández, F.J.; Egea, J.

doi:10.1007/s11081-020-09500-3

Cited by 9 publications

(2 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, two frying processes with different conditions (time or temperature) can produce the same amount of acrylamide while maintaining equivalent quality (yellowness and moisture content). This existence of equivalent solutions in the Pareto front was recently observed by Ortiz-Martínez et al [ 57 ] in the multi-objective optimization of a wastewater process. In any case, an a priori analysis of the objective functions and their dynamics can help to anticipate whether multiple solutions for the Pareto front can appear [ 16 ].…”

Section: Discussionsupporting

confidence: 72%

Multiobjective Optimization of a Frying Process Balancing Acrylamide Formation and Quality: Solution Analysis and Uncertainty Propagation

Peñalver-Soto

Muñoz-Guillermo²,

Garre³

et al. 2022

Foods

Self Cite

View full text Add to dashboard Cite

In this study, we performed multi-objective model-based optimization of a potato-frying process balancing between acrylamide production and a quality parameter (yellowness). Solution analysis revealed that, for most of the Pareto solutions, acrylamide levels exceeded the EFSA recommendation. Almost equivalent optimal solutions were found for moderate processing conditions (low temperatures and/or processing times) and the propagation of the uncertainty of the acrylamide production model parameters led to Pareto fronts with notable differences from the one obtained using the nominal parameters, especially in the ranges of high values of acrylamide production and yellowness. These results can help to identify processing conditions to achieve the desired acrylamide/yellowness balance and design more robust processes allowing for the enhancement of flexibility when equivalent optimal solutions can be retrieved.

show abstract

Section: Discussionsupporting

confidence: 72%

Multiobjective Optimization of a Frying Process Balancing Acrylamide Formation and Quality: Solution Analysis and Uncertainty Propagation

Peñalver-Soto

Muñoz-Guillermo²,

Garre³

et al. 2022

Foods

Self Cite

View full text Add to dashboard Cite

show abstract

“…The improvement of operations in treatment plants and its impact on their performance, the reduction of energy consumption, and the reduction of maintenance costs is receiving more and more attention from researchers [15][16][17][18]. The increasingly strict legal and environmental requirements force us to seek an improvement in the operation of these facilities [19,20]. An important way of optimizing this operation is the development of mathematical process models.…”

mentioning

confidence: 99%

Gross Solids Content Prediction in Urban WWTPs Using SVM

Pérez

Fernández

et al. 2021

Water

View full text Add to dashboard Cite

The preliminary treatment of wastewater at wastewater treatment plants (WWTPs) is of great importance for the performance and durability of these plants. One fraction that is removed at this initial stage is commonly called gross solids and can cause various operational, downstream performance, or maintenance problems. To avoid this, data from more than two operation years of the Villapérez Wastewater Treatment Plant, located in the northeast of the city of Oviedo (Asturias, Spain), were collected and used to develop a model that predicts the gross solids content that reaches the plant. The support vector machine (SVM) method was used for modelling. The achieved model precision (Radj2 = 0.7 and MSE = 0.43) allows early detection of trend changes in the arrival of gross solids and will improve plant operations by avoiding blockages and overflows. The results obtained indicate that it is possible to predict trend changes in gross solids content as a function of the selected input variables. This will prevent the plant from suffering possible operational problems or discharges of untreated wastewater as actions could be taken, such as starting up more pretreatment lines or emptying the containers.

show abstract

Multiobjective optimization and decision making in engineering sciences

Hakanen

Allmendinger

2021

Optim Eng

View full text Add to dashboard Cite

Real-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how to tackle modern decision making problems. This special issue focuses on the intersection between engineering, multiple criteria decision making, multiobjective optimization, and data science. The development of new models and algorithmic methods to solve such problems is in the focus as much as the application of these concepts to real problems. This special issue was motivated by the 25th International Conference on Multiple Criteria Decision Making (MCDM2019) held in Istanbul, Turkey, in 2019.

show abstract

Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants

Cited by 9 publications

References 53 publications

Multiobjective Optimization of a Frying Process Balancing Acrylamide Formation and Quality: Solution Analysis and Uncertainty Propagation

Multiobjective Optimization of a Frying Process Balancing Acrylamide Formation and Quality: Solution Analysis and Uncertainty Propagation

Gross Solids Content Prediction in Urban WWTPs Using SVM

Multiobjective optimization and decision making in engineering sciences

Contact Info

Product

Resources

About