ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters
Microalgae-bacteria consortia have been proposed as alternatives to conventional biological processes to treat different types of wastewaters, including animal slurry. In this work, a microalgae-bacteria consortia (ABACO) model for wastewater treatment is proposed, it being calibrated and validated...
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doaj-7c16e708ed21421fb6939a7d47478f762021-01-23T00:03:48ZengMDPI AGApplied Sciences2076-34172021-01-011199899810.3390/app11030998ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of WastewatersAna Sánchez-Zurano0Enrique Rodríguez-Miranda1José Luis Guzmán2Francisco Gabriel Acién-Fernández3José M. Fernández-Sevilla4Emilio Molina Grima5Department of Chemical Engineering, University of Almería, Ctra. Sacramento s/n, ceiA3, CIESOL, 04120 Almería, SpainDepartment of Mechanical and Industrial Engineering, University of Brescia, Via Branze 38, 25123 Brescia, ItalyDepartment of Informatics, University of Almería, Ctra. Sacramento s/n, ceiA3, CIESOL, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, Ctra. Sacramento s/n, ceiA3, CIESOL, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, Ctra. Sacramento s/n, ceiA3, CIESOL, 04120 Almería, SpainDepartment of Chemical Engineering, University of Almería, Ctra. Sacramento s/n, ceiA3, CIESOL, 04120 Almería, SpainMicroalgae-bacteria consortia have been proposed as alternatives to conventional biological processes to treat different types of wastewaters, including animal slurry. In this work, a microalgae-bacteria consortia (ABACO) model for wastewater treatment is proposed, it being calibrated and validated using pig slurry. The model includes the most relevant features of microalgae, such as light dependence, endogenous respiration, and growth and nutrient consumption as a function of nutrient availability (especially inorganic carbon), in addition to the already reported features of heterotrophic and nitrifying bacteria. The interrelation between the different populations is also included in the model, in addition to the simultaneous release and consumption of the most relevant compounds, such as oxygen and carbon dioxide. The implementation of the model has been performed in MATLAB software; the calibration of model parameters was carried out using genetic algorithms. The ABACO model allows one to simulate the dynamics of different components in the system, and the relative proportions of microalgae, heterotrophic bacteria, and nitrifying bacteria. The percentage of each microbial population obtained with the model was confirmed by respirometric techniques. The proposed model is a powerful tool for the development of microalgae-related wastewater treatment processes, both to maximize the production of microalgal biomass and to optimize the wastewater treatment capacity.https://www.mdpi.com/2076-3417/11/3/998microalgaebacteriamodellingwastewater treatmentnutrientsphotobioreactor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ana Sánchez-Zurano Enrique Rodríguez-Miranda José Luis Guzmán Francisco Gabriel Acién-Fernández José M. Fernández-Sevilla Emilio Molina Grima |
spellingShingle |
Ana Sánchez-Zurano Enrique Rodríguez-Miranda José Luis Guzmán Francisco Gabriel Acién-Fernández José M. Fernández-Sevilla Emilio Molina Grima ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters Applied Sciences microalgae bacteria modelling wastewater treatment nutrients photobioreactor |
author_facet |
Ana Sánchez-Zurano Enrique Rodríguez-Miranda José Luis Guzmán Francisco Gabriel Acién-Fernández José M. Fernández-Sevilla Emilio Molina Grima |
author_sort |
Ana Sánchez-Zurano |
title |
ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters |
title_short |
ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters |
title_full |
ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters |
title_fullStr |
ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters |
title_full_unstemmed |
ABACO: A New Model of Microalgae-Bacteria Consortia for Biological Treatment of Wastewaters |
title_sort |
abaco: a new model of microalgae-bacteria consortia for biological treatment of wastewaters |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-01-01 |
description |
Microalgae-bacteria consortia have been proposed as alternatives to conventional biological processes to treat different types of wastewaters, including animal slurry. In this work, a microalgae-bacteria consortia (ABACO) model for wastewater treatment is proposed, it being calibrated and validated using pig slurry. The model includes the most relevant features of microalgae, such as light dependence, endogenous respiration, and growth and nutrient consumption as a function of nutrient availability (especially inorganic carbon), in addition to the already reported features of heterotrophic and nitrifying bacteria. The interrelation between the different populations is also included in the model, in addition to the simultaneous release and consumption of the most relevant compounds, such as oxygen and carbon dioxide. The implementation of the model has been performed in MATLAB software; the calibration of model parameters was carried out using genetic algorithms. The ABACO model allows one to simulate the dynamics of different components in the system, and the relative proportions of microalgae, heterotrophic bacteria, and nitrifying bacteria. The percentage of each microbial population obtained with the model was confirmed by respirometric techniques. The proposed model is a powerful tool for the development of microalgae-related wastewater treatment processes, both to maximize the production of microalgal biomass and to optimize the wastewater treatment capacity. |
topic |
microalgae bacteria modelling wastewater treatment nutrients photobioreactor |
url |
https://www.mdpi.com/2076-3417/11/3/998 |
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