Multi-Criteria Analysis of the Continuous Operation of A Membrane Photobioreactor to Treat Sewage: Modeling and Sensitivity Analysis DOI
Bartosz Szeląg, J. González-Camejo, Anna Laura Eusebi

et al.

Published: Jan. 1, 2024

Microalgae-based wastewater remediation can contribute to the decarbonization of sector and is aligned with circular economy principals, but successful large-scale facilities are scarce due limited knowledge interactions between all relevant variables, as well poor development control automation systems. Machine learning (ML) methods have potentiality fill this gap by predicting performance in microalgae photobioreactors. Some attempts been performed under controlled lab conditions where variability during time normally neglected. This prevents direct application their results industrial scale. The aim study was develop machine models for prediction nitrogen phosphorus removal, biomass production photosynthetic efficiency on a pilot-scale database obtained 1.5 years operation. Random forests (RF), boosted trees (BT), multilayer perceptron (MLP), support vector (SVM) were used purpose. lowest errors MLP model, allowing developed tool be an alternative mechanistic models. Large ranges data used, considering factors diurnal cycle whose influence usually Using global sensitivity analysis (GSA), input-input relationships verified, which reflected goodness fit (R2=0.83 - 0.95). Moreover, using ML models, multi-criteria optimization operating parameters two variants: a) (HRT, SRT, air flowrate); b) influent nutrient loads.

Language: Английский

A review of emerging membrane-based microalgal-bacterial processes for wastewater treatment: Process configurations, biological and membrane performance, and perspectives DOI

Teralyn Garieri,

D. Grant Allen, Wa Gao

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172141 - 172141

Published: April 4, 2024

Language: Английский

Citations

4
Optimal Phenolic Production from Microalgae Chlorella: A Review DOI

Ali Ridho Arif Madja,

Fernando David, Retno Murwanti

et al.

Revista Brasileira de Farmacognosia, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0
Multi-criteria analysis of the continuous operation of a membrane photobioreactor to treat sewage: Modeling and sensitivity analysis DOI Creative Commons
Bartosz Szeląg, J. González-Camejo, Anna Laura Eusebi

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 154202 - 154202

Published: July 21, 2024

Microalgae-based wastewater remediation is aligned with circular economy principals but successful large-scale facilities are scarce due to the limited knowledge of interactions between all relevant variables and development control automation systems. Machine learning (ML) methods have potential predict performance in microalgae photobioreactors, aim optimize it. Some attempts been performed under controlled lab conditions which prevents direct application their results industrial scale. This study aims develop ML models for prediction nutrient removal, biomass production photosynthetic efficiency using a database obtained from 1.5-y operation pilot-scale membrane photobioreactor (MPBR) that treated sewage. A total 14 inputs 6 outputs were selected. Random forests (RF), boosted trees (BT), multilayer perceptron (MLP), support vector machine (SVM) tested. The lowest errors MLP model, allowing developed tool be used as an alternative mechanistic models. Large ranges data used, considering variability factors diurnal cycle whose influence on usually neglected. Using global sensitivity analysis (GSA), input-output relationships verified, reflecting number showing significant values Shapley Indices. Additionaly, partial dependence plots showed both linear nonlinear depending selected outputs. Finally, models, multi-criteria optimization operating parameters was two variants: a) (HRT, SRT, air flowrate (Fair)); b) influent loads Fair, nitrogen phosphorus loading rates).

Language: Английский

Citations

2
Cyanobacteria: Photosynthetic Cell Factories for Biofuel Production DOI Creative Commons
Bharat Kumar Majhi

Journal of Bioresources and Bioproducts, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

1
Multi-Criteria Analysis of the Continuous Operation of A Membrane Photobioreactor to Treat Sewage: Modeling and Sensitivity Analysis DOI
Bartosz Szeląg, J. González-Camejo, Anna Laura Eusebi

et al.

Published: Jan. 1, 2024

Microalgae-based wastewater remediation can contribute to the decarbonization of sector and is aligned with circular economy principals, but successful large-scale facilities are scarce due limited knowledge interactions between all relevant variables, as well poor development control automation systems. Machine learning (ML) methods have potentiality fill this gap by predicting performance in microalgae photobioreactors. Some attempts been performed under controlled lab conditions where variability during time normally neglected. This prevents direct application their results industrial scale. The aim study was develop machine models for prediction nitrogen phosphorus removal, biomass production photosynthetic efficiency on a pilot-scale database obtained 1.5 years operation. Random forests (RF), boosted trees (BT), multilayer perceptron (MLP), support vector (SVM) were used purpose. lowest errors MLP model, allowing developed tool be an alternative mechanistic models. Large ranges data used, considering factors diurnal cycle whose influence usually Using global sensitivity analysis (GSA), input-input relationships verified, which reflected goodness fit (R2=0.83 - 0.95). Moreover, using ML models, multi-criteria optimization operating parameters two variants: a) (HRT, SRT, air flowrate); b) influent nutrient loads.

Language: Английский

Citations

0