Robles Martínez, Á.; Ruano García, MV.; Ribes Bertomeu, J.; Ferrer, J. (2013). Advanced control system for optimal filtration in submerged anaerobic MBRs (SAnMBRs). Journal of Membrane Science. 430:330-341. doi:10.1016/j.memsci.2012.11.078
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/57050
Title:
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Advanced control system for optimal filtration in submerged anaerobic MBRs (SAnMBRs)
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Author:
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Robles Martínez, Ángel
Ruano García, María Victoria
Ribes Bertomeu, Jose
FERRER, J.
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UPV Unit:
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Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
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Issued date:
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Abstract:
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The main aim of this study was to develop an advanced controller to optimise filtration in submerged anaerobic MBRs (SAnMBRs). The proposed controller was developed, calibrated and validated in a SAnMBR demonstration plant ...[+]
The main aim of this study was to develop an advanced controller to optimise filtration in submerged anaerobic MBRs (SAnMBRs). The proposed controller was developed, calibrated and validated in a SAnMBR demonstration plant fitted with industrial-scale hollow-fibre membranes with variable influent flow and load. This 2-layer control system is designed for membranes operating sub-critically and features a lower layer (on/off and PID controllers) and an upper layer (knowledge-based controller). The upper layer consists of a MIMO (multiple-input-multiple-output) control structure that regulates the gas sparging for membrane scouring and the frequency of physical cleaning (ventilation and back flushing). The filtration process is monitored by measuring the fouling rate on-line. This controller demonstrated its ability to keep fouling rates low (close to 0 mbar mm(-1)) by applying sustainable gas sparging intensities (approx. 0.23 Nm(3) h(-1) m(-2)). It also reduced the downtimes needed for ventilation and back-flushing (less than 2% of operating time).
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Subjects:
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Advanced control system
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Energy savings
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Industrial-scale hollow-fibre membranes
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Knowledge-based controller
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Submerged anaerobic MBR
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Journal of Membrane Science. (issn:
0376-7388
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DOI:
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10.1016/j.memsci.2012.11.078
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.memsci.2012.11.078
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Project ID:
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Spanish Research Foundation (CICYT Projects) CTM2008-06809-C02-01 CTM2008-06809-C02-02 BES-2009-023712
Generalitat Valenciana GVA-ACOMP2010/130 GVA-ACOMP2011/182
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Thanks:
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This research has been supported by the Spanish Research Foundation (CICYT Projects CTM2008-06809-C02-01 and CTM2008-06809-C02-02, and MICINN FPI Grant BES-2009-023712) and Generalitat Valenciana (Projects GVA-ACOMP2010/130 ...[+]
This research has been supported by the Spanish Research Foundation (CICYT Projects CTM2008-06809-C02-01 and CTM2008-06809-C02-02, and MICINN FPI Grant BES-2009-023712) and Generalitat Valenciana (Projects GVA-ACOMP2010/130 and GVA-ACOMP2011/182), which are gratefully acknowledged.
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Type:
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Artículo
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