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dc.contributor.author
Mussati, Miguel Ceferino  
dc.contributor.author
Gernaey, Krist  
dc.contributor.author
Gani, Rafiqul  
dc.contributor.author
Jørgensen, Sten Bay  
dc.date.available
2022-11-29T12:39:16Z  
dc.date.issued
2002-11  
dc.identifier.citation
Mussati, Miguel Ceferino; Gernaey, Krist; Gani, Rafiqul; Jørgensen, Sten Bay; Performance analysis of a denitrifying wastewater treatment plant; Springer; Clean Technologies And Environmental Policy; 4; 3; 11-2002; 171-182  
dc.identifier.issn
1618-954X  
dc.identifier.uri
http://hdl.handle.net/11336/179363  
dc.description.abstract
The cleaning performance of an activated sludge wastewater treatment plant for biological nitrogen removal was evaluated based on the Activated Sludge Models No. 1 (ASM1) and No. 3 (ASM3). The COST predenitrification benchmark plant was considered as a case study. Several treatment plant performance indexes were defined based on performance indicators and operating cost factors. Plant operation was evaluated for three dynamic disturbance scenarios corresponding to dry, rain, and storm weather conditions. The aeration rate was seen to be the most sensitive process parameter for this case study, and the nitrate recycle flow rate ratio was the least sensitive of all parameters analyzed. Different qualitative predictions were obtained from the two models, as a result of different model structures. For all three weather scenarios, the sludge production predicted by the ASM1 model increases slightly as the oxygen transfer rate increases; in contrast, the sludge production decreases for the ASM3 model. However, the resulting difference in the sludge treatment cost does not qualitatively modify the cost performance index profile. For all control handles considered the rain weather scenario showed the highest cost performance index and the lowest global cleaning efficiency.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
WASTEWATER TREATMENT  
dc.subject
DENITRIFYING PLANT  
dc.subject
PROCESS MODELING AND SIMULATION  
dc.subject
PERFORMANCE ANALYSIS  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
Ingeniería Química  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Performance analysis of a denitrifying wastewater treatment plant  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-07-04T20:20:52Z  
dc.journal.volume
4  
dc.journal.number
3  
dc.journal.pagination
171-182  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín, Alemania  
dc.description.fil
Fil: Mussati, Miguel Ceferino. Technical University of Denmark; Dinamarca. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Gernaey, Krist. Technical University of Denmark; Dinamarca  
dc.description.fil
Fil: Gani, Rafiqul. Technical University of Denmark; Dinamarca  
dc.description.fil
Fil: Jørgensen, Sten Bay. Technical University of Denmark; Dinamarca  
dc.journal.title
Clean Technologies And Environmental Policy  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10098-002-0157-8  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s10098-002-0157-8