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dc.contributor.author | Ruano, María Victoria![]() |
es_ES |
dc.contributor.author | Ribes, J.![]() |
es_ES |
dc.contributor.author | Seco Torrecillas, Aurora![]() |
es_ES |
dc.contributor.author | Ferrer, J.![]() |
es_ES |
dc.date.accessioned | 2019-07-03T20:02:12Z | |
dc.date.available | 2019-07-03T20:02:12Z | |
dc.date.issued | 2012 | es_ES |
dc.identifier.issn | 1385-8947 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/123138 | |
dc.description.abstract | [EN] A fuzzy logic-based control system that uses low-cost sensors for controlling and optimizing the biological nitrogen removal in continuous systems has been developed. The novelty of this control system is the use of several pH, ORP, and dissolved oxygen (DO) sensors instead of on-line nitrogen sensors/analyzers. The nitrogen control system was developed and implemented in a UCT pilot plant fed with wastewater from a full-scale plant. The developed nitrification controller allows the effluent ammonium concentration to be maintained below the effluent criteria discharge with the minimum energy consumption. The denitrification process controller allows the energy consumption derived from pumping to be minimized, as the control system only increases the internal recycle flow rate when the anoxic reactor reveals further capacity for denitrification. This advanced control strategy offers an attractive alternative to on-line, nitrogen analyzer-based control systems since it involves lower investment, maintenance, and operational costs that are derived from the instrumentation. (C) 2011 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | The authors would like to express their gratitude to the Ministry of Science and Education for the financial support (Project reference CTM2005-06919-C03-01/TECNO). Financial support from Entitat Publica de Sanejament d'Aigues Residuals de la Comunitat Valenciana and Depuracion de Aguas del Mediterraneo is also gratefully acknowledged. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Chemical Engineering Journal | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Biological nitrogen removal | es_ES |
dc.subject | Control | es_ES |
dc.subject | Denitrification | es_ES |
dc.subject | Fuzzy logic | es_ES |
dc.subject | Low-cost sensors | es_ES |
dc.subject | Nitrification | es_ES |
dc.subject.classification | TECNOLOGIA DEL MEDIO AMBIENTE | es_ES |
dc.title | An advanced control strategy for biological nutrient removal in continuous systems based on pH and ORP sensors | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.cej.2011.12.064 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//CTM2005-06919-C03-01/ES/MODELACION DE LOS PROCESOS IMPLICADOS EN LA ELIMINACION DE NITROGENO EN EL SOBRENADANTE DE LA DESHIDRATACION DE FANGOS. APLICACION AL DISEÑO Y GESTION DE UNA EDAR SOSTENIBLE/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient | es_ES |
dc.description.bibliographicCitation | Ruano, MV.; Ribes, J.; Seco Torrecillas, A.; Ferrer, J. (2012). An advanced control strategy for biological nutrient removal in continuous systems based on pH and ORP sensors. Chemical Engineering Journal. 183:212-221. https://doi.org/10.1016/j.cej.2011.12.064 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://doi.org/10.1016/j.cej.2011.12.064 | es_ES |
dc.description.upvformatpinicio | 212 | es_ES |
dc.description.upvformatpfin | 221 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 183 | es_ES |
dc.relation.pasarela | S\257956 | es_ES |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |