A Novel integrated approach to the enhanced production of polyhydrobutyrate with mixed culture in activated sludge / Fang Fang in Industrial & engineering chemistry research, Vol. 49 N° 16 (Août 2010)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 49 N° 16 (Août 2010) . - pp. 7478–7483 Titre : A Novel integrated approach to the enhanced production of polyhydrobutyrate with mixed culture in activated sludge Type de document : texte imprimé Auteurs : Fang Fang, Auteur ; Guo-Ping Sheng, Auteur ; Han-Qing Yu, Auteur Année de publication : 2010 Article en page(s) : pp. 7478–7483 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Biomass Résumé : Polyhydrobutyrate (PHB) production from fatty acids by activated sludge is mainly influenced by the ratio of initial substrate concentration (S0) to initial biomass concentration (X0), ratio of chemical oxygen demand to nitrogen (COD/N), and aeration strength. In this work the PHB production by activated sludge was evaluated and enhanced using an integration of the response surface methodology (RSM) and a novel machine learning method, that is, support vector regression (SVR) coupled with the accelerating genetic algorithm (AGA). The results demonstrated that the SVR−AGA model was superior over the RSM model. With the SVR−AGA approach, a maximum PHB yield of 185.48 mg PHB/g VSS under the optimum conditions of S0/X0 of 0.286, COD/N of 144, and aeration intensity 0.004 m3/(L·h) was estimated. The verification experiment confirmed that the measured optimum PHB yield was close to that estimated by using the SVR−AGA approach. This work indicates that an integration of the SVR and AGA methods was an appropriate and effective approach for evaluating and enhancing the PHB production process by mixed cultures like activated sludge. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100297y [article] A Novel integrated approach to the enhanced production of polyhydrobutyrate with mixed culture in activated sludge [texte imprimé] / Fang Fang, Auteur ; Guo-Ping Sheng, Auteur ; Han-Qing Yu, Auteur . - 2010 . - pp. 7478–7483. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 16 (Août 2010) . - pp. 7478–7483 Mots-clés : Biomass Résumé : Polyhydrobutyrate (PHB) production from fatty acids by activated sludge is mainly influenced by the ratio of initial substrate concentration (S0) to initial biomass concentration (X0), ratio of chemical oxygen demand to nitrogen (COD/N), and aeration strength. In this work the PHB production by activated sludge was evaluated and enhanced using an integration of the response surface methodology (RSM) and a novel machine learning method, that is, support vector regression (SVR) coupled with the accelerating genetic algorithm (AGA). The results demonstrated that the SVR−AGA model was superior over the RSM model. With the SVR−AGA approach, a maximum PHB yield of 185.48 mg PHB/g VSS under the optimum conditions of S0/X0 of 0.286, COD/N of 144, and aeration intensity 0.004 m3/(L·h) was estimated. The verification experiment confirmed that the measured optimum PHB yield was close to that estimated by using the SVR−AGA approach. This work indicates that an integration of the SVR and AGA methods was an appropriate and effective approach for evaluating and enhancing the PHB production process by mixed cultures like activated sludge. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100297y

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Quantitative simulation of the granulation process of activated sludge for wastewater treatment / Bing-Jie Ni in Industrial & engineering chemistry research, Vol. 49 N° 6 (Mars 2010)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 49 N° 6 (Mars 2010) . - pp. 2864–2873 Titre : Quantitative simulation of the granulation process of activated sludge for wastewater treatment Type de document : texte imprimé Auteurs : Bing-Jie Ni, Auteur ; Guo-Ping Sheng, Auteur ; Xiao-Yan Li, Auteur Année de publication : 2010 Article en page(s) : pp. 2864–2873 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Quantitative--Simulation--Granulation--Activated Sludge-- Wastewater--Treatment Résumé : The granulation process of activated sludge, taking the sludge in two sequencing batch reactors (SBRs) respectively fed with soybean-processing and fatty-acids-rich wastewaters as an example, is quantitatively simulated in this work. On the basis of a mixed-culture biofilm model and a simultaneous storage and growth model, a new model incorporating microbial growth, oxygen transfer, substrate diffusion, increased granule size, and biomass detachment is formulated to describe the granulation process of activated sludge. Parameter estimation results of no evident cross-correlation and low 95% confidence intervals indicate a good identification of the obtained parameter values. The model evaluation results of three different case studies demonstrate that the developed model is applicable to describing the aerobic sludge granulation process appropriately. With this model, the aerobic granulation process in terms of mean radius profiles could be quantitatively characterized. Note de contenu : Bbibiogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901252k [article] Quantitative simulation of the granulation process of activated sludge for wastewater treatment [texte imprimé] / Bing-Jie Ni, Auteur ; Guo-Ping Sheng, Auteur ; Xiao-Yan Li, Auteur . - 2010 . - pp. 2864–2873. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 6 (Mars 2010) . - pp. 2864–2873 Mots-clés : Quantitative--Simulation--Granulation--Activated Sludge-- Wastewater--Treatment Résumé : The granulation process of activated sludge, taking the sludge in two sequencing batch reactors (SBRs) respectively fed with soybean-processing and fatty-acids-rich wastewaters as an example, is quantitatively simulated in this work. On the basis of a mixed-culture biofilm model and a simultaneous storage and growth model, a new model incorporating microbial growth, oxygen transfer, substrate diffusion, increased granule size, and biomass detachment is formulated to describe the granulation process of activated sludge. Parameter estimation results of no evident cross-correlation and low 95% confidence intervals indicate a good identification of the obtained parameter values. The model evaluation results of three different case studies demonstrate that the developed model is applicable to describing the aerobic sludge granulation process appropriately. With this model, the aerobic granulation process in terms of mean radius profiles could be quantitatively characterized. Note de contenu : Bbibiogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901252k

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