Advanced strategies to improve nitrification process in sequencing batch reactors - A review
| Primer Autor |
Antileo, Christian
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| Co-autores |
Jaramillo, Francisco#Orchard, Marcos#Munoz, Carlos#Zamorano, Mauricio
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| Título |
Advanced strategies to improve nitrification process in sequencing batch reactors - A review
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| Editorial |
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
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| Revista |
JOURNAL OF ENVIRONMENTAL MANAGEMENT
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| Lenguaje |
en
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| Resumen |
The optimization of biological nitrogen removal (BNR) in sequencing batch reactors has become the aim of researchers worldwide in order to increase efficiency and reduce energy and operating costs. This research has focused on the nitrification phase as the limiting reaction rate of BNR. This paper analyzes different strategies and discusses different tools such as: factors for achieving partial nitrification, realtime control and monitoring for detecting characteristic patterns of nitrification/denitrification as end-points, use of modeling based on activated sludge models, and the use of data-driven modeling for estimating variables that cannot be easily measured experimentally or online. The discussion of this paper highlight the properties and scope of each of these strategies, as well as their advantages and disadvantages, which can be integrated into future works using these strategies according to legal and economic restrictions for a more stable and efficient BNR process in the long-term. (C) 2018 Elsevier Ltd. All rights reserved.
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| Tipo de Recurso |
Artículo de revisión
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| Description |
The work of Francisco Jaramillo has been supported by a Ph.D scholarship from CONICYT, Chile. CONICYT-PCHA/Doctorado Nacional (grant number 2014-21140201). Francisco Jaramillo and Marcos Orchard also acknowledge the support from the Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project (grant number FB0008) and FONDECYT (grant number 1170044).
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| doi |
10.1016/j.jenvman.2018.04.019
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| Formato Recurso |
pdf
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| Palabras Claves |
Partial nitrification# SBR# ASM# Bending-points# Data-driven models
Partial nitrification# SBR# ASM# Bending-points# Data-driven models
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| Ubicación del archivo |
http://dx.doi.org/10.1016/j.jenvman.2018.04.019
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| Categoría OCDE |
Environmental Sciences
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| Materias |
Nitrificación parcial# SBR# MAPE# Puntos de flexión# Modelos basados en datos
Nitrificación parcial# SBR# MAPE# Puntos de flexión# Modelos basados en datos
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| Id de Web of Science |
WOS:000433649800016
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| Título de la cita (Recomendado-único) |
Advanced strategies to improve nitrification process in sequencing batch reactors - A review
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| Identificador del recurso (Mandatado-único) |
Artículo de revisión
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| Versión del recurso (Recomendado-único) |
version publicada
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| Editorial |
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
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| Revista/Libro |
JOURNAL OF ENVIRONMENTAL MANAGEMENT
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| Categoría WOS |
Ciencias Ambientales
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| ISSN |
0301-4797
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| Idioma |
en
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| Referencia del Financiador (Mandatado si es aplicable-repetible) |
ANID CONICYT 21140201#AC3E FB0008#ANID 1170044
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| Descripción |
The work of Francisco Jaramillo has been supported by a Ph.D scholarship from CONICYT, Chile. CONICYT-PCHA/Doctorado Nacional (grant number 2014-21140201). Francisco Jaramillo and Marcos Orchard also acknowledge the support from the Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project (grant number FB0008) and FONDECYT (grant number 1170044).
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| Formato |
pdf
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| Tipo de ruta |
hibrida#verde
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| Access Rights |
metadata
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| Derechos de acceso |
metadata
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| Página de inicio (Recomendado-único) |
352
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| Página final (Recomendado-único) |
365
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