Coupling CFD with chemical reactor network for advanced $ NO_{x} $ prediction in gas turbine
Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kanniche, Mohamed [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Schlagwörter: |
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Enthalten in: Clean Products and Processes - Springer-Verlag, 2001, 12(2010), 6 vom: 22. Apr., Seite 661-670 |
|---|---|
| Übergeordnetes Werk: |
volume:12 ; year:2010 ; number:6 ; day:22 ; month:04 ; pages:661-670 |
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| DOI / URN: |
10.1007/s10098-010-0293-5 |
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| 520 | |a Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. | ||
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10.1007/s10098-010-0293-5 doi (DE-627)SPR008716803 (SPR)s10098-010-0293-5-e DE-627 ger DE-627 rakwb eng Kanniche, Mohamed verfasserin aut Coupling CFD with chemical reactor network for advanced $ NO_{x} $ prediction in gas turbine 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. Gas turbine (dpeaa)DE-He213 NO (dpeaa)DE-He213 CO (dpeaa)DE-He213 Chemical reactor network (dpeaa)DE-He213 Jet-stirred reactor (dpeaa)DE-He213 Enthalten in Clean Products and Processes Springer-Verlag, 2001 12(2010), 6 vom: 22. Apr., Seite 661-670 (DE-627)SPR008711836 nnns volume:12 year:2010 number:6 day:22 month:04 pages:661-670 https://dx.doi.org/10.1007/s10098-010-0293-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 12 2010 6 22 04 661-670 |
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10.1007/s10098-010-0293-5 doi (DE-627)SPR008716803 (SPR)s10098-010-0293-5-e DE-627 ger DE-627 rakwb eng Kanniche, Mohamed verfasserin aut Coupling CFD with chemical reactor network for advanced $ NO_{x} $ prediction in gas turbine 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. Gas turbine (dpeaa)DE-He213 NO (dpeaa)DE-He213 CO (dpeaa)DE-He213 Chemical reactor network (dpeaa)DE-He213 Jet-stirred reactor (dpeaa)DE-He213 Enthalten in Clean Products and Processes Springer-Verlag, 2001 12(2010), 6 vom: 22. Apr., Seite 661-670 (DE-627)SPR008711836 nnns volume:12 year:2010 number:6 day:22 month:04 pages:661-670 https://dx.doi.org/10.1007/s10098-010-0293-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 12 2010 6 22 04 661-670 |
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10.1007/s10098-010-0293-5 doi (DE-627)SPR008716803 (SPR)s10098-010-0293-5-e DE-627 ger DE-627 rakwb eng Kanniche, Mohamed verfasserin aut Coupling CFD with chemical reactor network for advanced $ NO_{x} $ prediction in gas turbine 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. Gas turbine (dpeaa)DE-He213 NO (dpeaa)DE-He213 CO (dpeaa)DE-He213 Chemical reactor network (dpeaa)DE-He213 Jet-stirred reactor (dpeaa)DE-He213 Enthalten in Clean Products and Processes Springer-Verlag, 2001 12(2010), 6 vom: 22. Apr., Seite 661-670 (DE-627)SPR008711836 nnns volume:12 year:2010 number:6 day:22 month:04 pages:661-670 https://dx.doi.org/10.1007/s10098-010-0293-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 12 2010 6 22 04 661-670 |
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Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. |
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Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. |
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Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. The detailed chemical kinetic scheme is initially validated by laboratory tests on jet-stirred reactor performed in University of Washington. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008716803</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519093317.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2010 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10098-010-0293-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008716803</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10098-010-0293-5-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kanniche, Mohamed</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Coupling CFD with chemical reactor network for advanced $ NO_{x} $ prediction in gas turbine</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Gas turbine pollutant emissions, especially nitric oxides ($ NO_{x} $: NO and $ NO_{2} $) and carbon monoxide (CO) are limited to 25 ppmvd by the European legislation for natural gas operations. To meet this objective and that of future legislation, it is crucial to have access to numerical tools that could speedily predict NO and CO emissions when operating gas turbines (fuel flexibility, tuning of the fuel distribution between burners…). In this context EDF R&D has been developing a 3D turbulent gas combustion model the past few years. Nevertheless, the introduction of complex chemical kinetics in 3D turbulent combustion code is still too CPU-time consuming for industrial use. Thus, 3D computational fluid dynamics computations, using simple chemistry, are post-treated to generate a 0D chemical reactor network (CRN), which includes a detailed chemistry mechanism. The 3D simulations are used to provide information about the mixing state, and the flow topology including the turbulence effects. The present study focuses on the impact of ambient air conditions (temperature and relative humidity) on NO production by industrial gas turbines. 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