Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/2651
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Pires, O. C. | - |
dc.contributor.author | Palma, C. | - |
dc.contributor.author | Costa, J. C. | - |
dc.contributor.author | Moita, I. | - |
dc.contributor.author | Alves, M. M. | - |
dc.contributor.author | Ferreira, Eugénio C. | - |
dc.date.accessioned | 2005-08-26T13:08:25Z | - |
dc.date.available | 2005-08-26T13:08:25Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | IWA CONFERENCE ON INSTRUMENTATION, CONTROL AND AUTOMATION, 2, Busan, 2005 – “Proceedings of the the 2nd IWA Conference on Instrumentation, Control and Automation”. [S.l. :s.n.], [c. 2005]. vol. 1. p. 247-255. | eng |
dc.identifier.uri | https://hdl.handle.net/1822/2651 | - |
dc.description.abstract | A supervisory expert system based on fuzzy logic rules was developed for diagnosis and control of a lab- scale plant comprising anaerobic/anoxic/aerobic modules for combined high rate biological N and C removal. The design and implementation of a computational environment in LabVIEW for data acquisition, plant operation and distributed equipment control is described. A step increase in ammonia concentration from 20 to 60 mg N/L was applied during a trial period of 73 hours. Recycle flow rate from the aerobic to the anoxic module and by-pass flow rate from the influent directly to the anoxic reactor were the output of the fuzzy system that were automatically changed (from 34 to 111 L/day and from 8 to 13 L/day, respectively), when new plant conditions were recognized by the expert system. Denitrification efficiency higher than 85% was achieved 30 hours after the disturbance and 15 hours after the system response at an HRT as low as 1.5 hours. Nitrification efficiency gradually increased from 12 to 50% at an HRT of 3 hours. The system proved to properly react in order to set adequate operating conditions that timely led to recover efficient N and C removal rates. | eng |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia , Fundo Social Europeu - BD/1299/2000 , BD/13317/2003. | eng |
dc.language.iso | eng | eng |
dc.relation | info:eu-repo/grantAgreement/FCT/POCTI/SFRH%2FBD%2F1299%2F2000/PT | - |
dc.relation | info:eu-repo/grantAgreement/FCT/PIDDAC/SFRH%2FBD%2F13317%2F2003/PT | - |
dc.rights | openAccess | eng |
dc.subject | Anaerobic digestion | eng |
dc.subject | Activated sludge | eng |
dc.subject | Fuzzy logic based system | eng |
dc.subject | Nutrient removal | eng |
dc.subject | Distributed supervision | eng |
dc.subject | Expert system | eng |
dc.title | Knowledge-based fuzzy system for diagnosis and control of an integrated biological wastewater treatment process | eng |
dc.type | conferencePaper | eng |
dc.peerreviewed | yes | eng |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ICA2005-Korea-Proceedings[1].pdf | 124,35 kB | Adobe PDF | Ver/Abrir |