Documents disponibles écrits par cet auteur

Development and implementation of numerical simulation for a selective noncatalytic reduction system design / Wei Zhou in Industrial & engineering chemistry research, Vol. 48 N° 24 (Décembre 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 24 (Décembre 2009) . - pp. 10994–11001 Titre : Development and implementation of numerical simulation for a selective noncatalytic reduction system design Type de document : texte imprimé Auteurs : Wei Zhou, Auteur ; David Moyeda, Auteur ; Vitali Lissianski, Auteur Année de publication : 2010 Article en page(s) : pp. 10994–11001 Note générale : Indusrial chemistry Langues : Anglais (eng) Mots-clés : Development--Implementation--Numerical--Simulation--Selective--Noncatalytic--Reduction--System  Design Résumé : Selective noncatalytic reduction (SNCR) technology is an effective and economical method of reducing NOx emissions from a wide range of industrial combustion systems. It is widely known that the SNCR process is primarily effective in a narrow temperature window, around 1200−1255 K, and that high CO concentrations can both shift the temperature window and limit the process’ effectiveness. To ensure proper design and application of SNCR technology, it is critical to understand the flow and temperature fields, SNCR kinetics, and species concentrations in the combustion system and to design an injection system that provides good mixing and distribution of the reagent with the furnace gases. The work summarized in this article developed and incorporated a reduced SNCR chemical mechanism into a commercial computational fluid dynamics (CFD) model. Three main results are reported: (1) the reduced mechanism is validated by comparisons to a detailed mechanism using a plug-flow reactor and a perfectly stirred reactor, (2) the SNCR modeling approach with the reduced mechanism is validated by comparing the three-dimensional modeling results with test data from a pilot-scale combustion furnace, and (3) the integrated CFD modeling approach is applied to designing an SNCR system for an industrial furnace. The SNCR system was installed and has been in operation for several years. The NOx reduction and ammonia slip performance for the full-scale system agreed well with the CFD predictions. ISSN : 088-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9004089 [article] Development and implementation of numerical simulation for a selective noncatalytic reduction system design [texte imprimé] / Wei Zhou, Auteur ; David Moyeda, Auteur ; Vitali Lissianski, Auteur . - 2010 . - pp. 10994–11001. Indusrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 24 (Décembre 2009) . - pp. 10994–11001 Mots-clés : Development--Implementation--Numerical--Simulation--Selective--Noncatalytic--Reduction--System  Design Résumé : Selective noncatalytic reduction (SNCR) technology is an effective and economical method of reducing NOx emissions from a wide range of industrial combustion systems. It is widely known that the SNCR process is primarily effective in a narrow temperature window, around 1200−1255 K, and that high CO concentrations can both shift the temperature window and limit the process’ effectiveness. To ensure proper design and application of SNCR technology, it is critical to understand the flow and temperature fields, SNCR kinetics, and species concentrations in the combustion system and to design an injection system that provides good mixing and distribution of the reagent with the furnace gases. The work summarized in this article developed and incorporated a reduced SNCR chemical mechanism into a commercial computational fluid dynamics (CFD) model. Three main results are reported: (1) the reduced mechanism is validated by comparisons to a detailed mechanism using a plug-flow reactor and a perfectly stirred reactor, (2) the SNCR modeling approach with the reduced mechanism is validated by comparing the three-dimensional modeling results with test data from a pilot-scale combustion furnace, and (3) the integrated CFD modeling approach is applied to designing an SNCR system for an industrial furnace. The SNCR system was installed and has been in operation for several years. The NOx reduction and ammonia slip performance for the full-scale system agreed well with the CFD predictions. ISSN : 088-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9004089

Development and implementation of numerical simulation for a selective noncatalytic reduction system design / Wei Zhou in Industrial & engineering chemistry research, Vol. 48 N° 24 (Décembre 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 24 (Décembre 2009) . - pp. 10994–11001 Titre : Development and implementation of numerical simulation for a selective noncatalytic reduction system design Type de document : texte imprimé Auteurs : Wei Zhou, Auteur ; David Moyeda, Auteur ; Vitali Lissianski, Auteur Année de publication : 2010 Article en page(s) : pp. 10994–11001 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Selective  noncatalytic  reduction  technology  Numerical  simulation Résumé : Selective noncatalytic reduction (SNCR) technology is an effective and economical method of reducing NOx emissions from a wide range of industrial combustion systems. It is widely known that the SNCR process is primarily effective in a narrow temperature window, around 1200−1255 K, and that high CO concentrations can both shift the temperature window and limit the process’ effectiveness. To ensure proper design and application of SNCR technology, it is critical to understand the flow and temperature fields, SNCR kinetics, and species concentrations in the combustion system and to design an injection system that provides good mixing and distribution of the reagent with the furnace gases. The work summarized in this article developed and incorporated a reduced SNCR chemical mechanism into a commercial computational fluid dynamics (CFD) model. Three main results are reported: (1) the reduced mechanism is validated by comparisons to a detailed mechanism using a plug-flow reactor and a perfectly stirred reactor, (2) the SNCR modeling approach with the reduced mechanism is validated by comparing the three-dimensional modeling results with test data from a pilot-scale combustion furnace, and (3) the integrated CFD modeling approach is applied to designing an SNCR system for an industrial furnace. The SNCR system was installed and has been in operation for several years. The NOx reduction and ammonia slip performance for the full-scale system agreed well with the CFD predictions. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9004089 [article] Development and implementation of numerical simulation for a selective noncatalytic reduction system design [texte imprimé] / Wei Zhou, Auteur ; David Moyeda, Auteur ; Vitali Lissianski, Auteur . - 2010 . - pp. 10994–11001. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 24 (Décembre 2009) . - pp. 10994–11001 Mots-clés : Selective  noncatalytic  reduction  technology  Numerical  simulation Résumé : Selective noncatalytic reduction (SNCR) technology is an effective and economical method of reducing NOx emissions from a wide range of industrial combustion systems. It is widely known that the SNCR process is primarily effective in a narrow temperature window, around 1200−1255 K, and that high CO concentrations can both shift the temperature window and limit the process’ effectiveness. To ensure proper design and application of SNCR technology, it is critical to understand the flow and temperature fields, SNCR kinetics, and species concentrations in the combustion system and to design an injection system that provides good mixing and distribution of the reagent with the furnace gases. The work summarized in this article developed and incorporated a reduced SNCR chemical mechanism into a commercial computational fluid dynamics (CFD) model. Three main results are reported: (1) the reduced mechanism is validated by comparisons to a detailed mechanism using a plug-flow reactor and a perfectly stirred reactor, (2) the SNCR modeling approach with the reduced mechanism is validated by comparing the three-dimensional modeling results with test data from a pilot-scale combustion furnace, and (3) the integrated CFD modeling approach is applied to designing an SNCR system for an industrial furnace. The SNCR system was installed and has been in operation for several years. The NOx reduction and ammonia slip performance for the full-scale system agreed well with the CFD predictions. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9004089

Prediction of activated carbon injection performance for mercury capture in a full-scale coal-fired boiler / Wei Zhou in Industrial & engineering chemistry research, Vol. 49 N° 8 (Avril 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 8 (Avril 2010) . - pp. 3603–3610 Titre : Prediction of activated carbon injection performance for mercury capture in a full-scale coal-fired boiler Type de document : texte imprimé Auteurs : Wei Zhou, Auteur ; Gilles Eggenspieler, Auteur ; Abu Rokanuzzaman, Auteur Année de publication : 2010 Article en page(s) : pp. 3603–3610 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Prediction  Activated  Carbon  Injection  Mercury  Coal-Fired Résumé : Activated carbon injection (ACI) is an effective mercury control technology demonstrated in both short-term and long-term full-scale tests. The effectiveness of mercury capture by activated carbon depends on the mercury speciation, total mercury concentration, flue gas composition, method of capture, and activated carbon properties, such as pore size, type of carbon impregnation, and surface area, etc. It is also desired that an ACI system be designed to produce good mixing between the activated carbon and the flue gas. In recent years, General Electric Energy has conducted both short-term and long-term tests in large-scale coal-fired boilers for ACI mercury capture demonstration. The programs consisted of (1) combustion optimization to improve natural mercury capture by fly ash, (2) computational fluid dynamics (CFD) modeling of activated carbon injection to design ACI lances, (3) a short-term test to select the activated carbon type, and (4) a long-term test to evaluate the mercury capture performance. This paper presents the CFD modeling for an ACI demonstration in Sundance Station Unit 5. The CFD model developed describes the film mass transport, pore diffusion, and carbon surface adsorption and desorption phenomena for the prediction of the mercury capture rate. The model was applied to evaluate the lance design and to calculate the mercury capture rate. The test data were also presented for comparison with the model results. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901967p [article] Prediction of activated carbon injection performance for mercury capture in a full-scale coal-fired boiler [texte imprimé] / Wei Zhou, Auteur ; Gilles Eggenspieler, Auteur ; Abu Rokanuzzaman, Auteur . - 2010 . - pp. 3603–3610. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 8 (Avril 2010) . - pp. 3603–3610 Mots-clés : Prediction  Activated  Carbon  Injection  Mercury  Coal-Fired Résumé : Activated carbon injection (ACI) is an effective mercury control technology demonstrated in both short-term and long-term full-scale tests. The effectiveness of mercury capture by activated carbon depends on the mercury speciation, total mercury concentration, flue gas composition, method of capture, and activated carbon properties, such as pore size, type of carbon impregnation, and surface area, etc. It is also desired that an ACI system be designed to produce good mixing between the activated carbon and the flue gas. In recent years, General Electric Energy has conducted both short-term and long-term tests in large-scale coal-fired boilers for ACI mercury capture demonstration. The programs consisted of (1) combustion optimization to improve natural mercury capture by fly ash, (2) computational fluid dynamics (CFD) modeling of activated carbon injection to design ACI lances, (3) a short-term test to select the activated carbon type, and (4) a long-term test to evaluate the mercury capture performance. This paper presents the CFD modeling for an ACI demonstration in Sundance Station Unit 5. The CFD model developed describes the film mass transport, pore diffusion, and carbon surface adsorption and desorption phenomena for the prediction of the mercury capture rate. The model was applied to evaluate the lance design and to calculate the mercury capture rate. The test data were also presented for comparison with the model results. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901967p