Ultra-low nitrogen oxides (NO x ) emissions combustion in gas turbine systems

Andrews, GE

doi:10.1533/9780857096067.3.715

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…Перемешивание продолжается в расширяющемся слое сдвига по мере того, как поток расширяется от минимального проходного сечения и наивысших локальных скоростей в стабилизаторе пламени до средней скорости в камере сгорания. Высокая турбулентность в сдвиговых слоях, например, для радиальных завихрителей, приведенных в [19], возникает до того, как температура станет достаточно высокой, чтобы быть значимой для термического образования NOx.…”

Section: результаты и обсуждениеunclassified

“…Результаты на рис.5 показывают, что для ϕ=0,5 (1900 K) термический NOx при горении предварительно перемешанных смесей будет примерно 1 ppm при 15 % О 2 , и увеличится до 4 ppm при S=0,1 и 20 ppm при S=0,2. Ясно, что для того, чтобы смешивание топлива и воздуха считалось хорошо перемешанным, значение S в том месте в пламени, где тепловыделение почти завершено, должно быть S<0,1.Рисунок 5 -Влияние S на NOx в зависимости от ϕ при 30 бар, 800 К и времени пребывания 5 мс[19]…”

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ВЛИЯНИЕ ПАРАМЕТРОВ ПОТОКА В КАМЕРЕ СГОРАНИЯ ГАЗОВЫХ ТУРБИН НА ЭМИССИЮ NOх. Часть 2

Достияров¹,

Садыкова²,

Картджанов³

2022

BTOUEn

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В статье проанализировано влияние параметров потока в камере сгорания на эмиссию NOx. Исследуется влияние на уровень термических и мгновенных NOx давления, времени пребывания газов в камере сгорания и степени смешивания топлива и воздуха. Результаты исследования показывают, что эмиссия мгновенных NOx не зависит от давления в камере сгорания. Рост температуры пламени увеличивает образование не только термических NOx, но и мгновенных NOx. В качестве параметра смешивания топлива и воздуха выбрано отношение флуктуаций среднего коэффициента эквивалентности к среднему коэффициенту эквивалентности. Показано, что сжигание предварительно перемешанных смесей при температуре пламени <1950К и с малым временем пребывания в зоне горения обеспечат сведение до минимума объёмов термических NOx и достижение сверхнизких уровней эмиссии NOx в целом. На основе полученных зависимостей сформулированы требования к созданию новых горелочных устройств для камер сгорания газовых турбин с уровнем выбросов оксидов азота меньше 20 ppm при 15 % О2. Статья может быть интересна исследователям и специалистам в области теплоэнергетики.

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Section: результаты и обсуждениеunclassified

unclassified

ВЛИЯНИЕ ПАРАМЕТРОВ ПОТОКА В КАМЕРЕ СГОРАНИЯ ГАЗОВЫХ ТУРБИН НА ЭМИССИЮ NOх. Часть 2

Достияров¹,

Садыкова²,

Картджанов³

2022

BTOUEn

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“…Systems incorporating such time delays are inherently unstable because if this time delay coincides with the convection time of a disturbance from the point of formation to the region of heat release, instabilities may occur [43]. Furthermore, LPM combustors employ little to no film cooling or dilution air along the liner walls [20,21,45]. This results in substantial reduction in acoustic damping in contrast to diffusion-flame combustors where secondary and dilution air provide excellent sound attenuation [20,22].…”

Section: Overview Of Thermoacoustic Instabilitiesmentioning

confidence: 99%

Thermoacoustic Instability Considerations for High Hydrogen Combustion in Lean Premixed Gas Turbine Combustors: A Review

et al. 2021

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Hydrogen is receiving increasing attention as a versatile energy vector to help accelerate the transition to a decarbonised energy future. Gas turbines will continue to play a critical role in providing grid stability and resilience in future low-carbon power systems; however, it is recognised that this role is contingent upon achieving increased thermal efficiencies and the ability to operate on carbon-neutral fuels such as hydrogen. An important consideration in the development of gas turbine combustors capable of operating with pure hydrogen or hydrogen-enriched natural gas are the significant changes in thermoacoustic instability characteristics associated with burning these fuels. This article provides a review of the effects of burning hydrogen on combustion dynamics with focus on swirl-stabilised lean-premixed combustors. Experimental and numerical evidence suggests hydrogen can have either a stabilising or destabilising impact on the dynamic state of a combustor through its influence particularly on flame structure and flame position. Other operational considerations such as the effect of elevated pressure and piloting on combustion dynamics as well as recent developments in micromix burner technology for 100% hydrogen combustion have also been discussed. The insights provided in this review will aid the development of instability mitigation strategies for high hydrogen combustion.

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“…The combustion process in many different industries, such as gas turbines and boilers in power plants, is a key contributor to the hazardous pollutants (NO x , CO, and PM, etc.) emitted into the environment [5,6]. The objective of this work is to forecast air pollution released from a power plant using artificial intelligence (AI).…”

Section: Introductionmentioning

confidence: 99%

Prediction of air pollution from power generation using machine learning

Photsathian,

Suttikul,

Tangsrirat

2024

Eureka: PE

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Electrical energy is now widely recognized as an essential part of life for humans, as it powers many daily amenities and devices that people cannot function without. Examples of these include traffic signals, medical equipment in hospitals, electrical appliances used in homes and offices, and public transportation. The process that generates electricity can pollute the air. Even though natural gas used in power plants is derived from fossil fuels, it can nevertheless produce air pollutants involving particulate matter (PM), nitrogen oxides (NOx), and carbon monoxide (CO), which affect human health and cause environmental problems. Numerous researchers have devoted significant efforts to developing methods that not only facilitate the monitoring of current air quality but also possess the capability to predict the impacts of this increasing rise. The primary cause of air pollution issues associated with electricity generation is the combustion of fossil fuels. The objective of this study was to create three multiple linear regression models using artificial intelligence (AI) technology and data collected from sensors positioned around the energy generator. The objective was to precisely predict the amount of air pollution that electricity generation would produce. The highly accurate forecasted data proved valuable in determining operational parameters that resulted in minimal air pollution emissions. The predicted values were accurate with the mean squared error (MSE) of 0.008, the mean absolute error (MAE) of 0.071, and the mean absolute percentage error (MAPE) of 0.006 for the turbine energy yield (TEY). For the CO, the MSE was 2.029, the MAE was 0.791, and the MAPE was 0.934. For the NOx, the MSE was 69.479, the MAE was 6.148, and the MAPE was 0.096. The results demonstrate that the models developed have a high level of accuracy in identifying operational conditions that result in minimal air pollution emissions, with the exception of NOx. The accuracy of the NOx model is relatively lower, but it may still be used to estimate the pattern of NOx emissions

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Ultra-low nitrogen oxides (NO x ) emissions combustion in gas turbine systems

Cited by 11 publications

References 9 publications

ВЛИЯНИЕ ПАРАМЕТРОВ ПОТОКА В КАМЕРЕ СГОРАНИЯ ГАЗОВЫХ ТУРБИН НА ЭМИССИЮ NOх. Часть 2

ВЛИЯНИЕ ПАРАМЕТРОВ ПОТОКА В КАМЕРЕ СГОРАНИЯ ГАЗОВЫХ ТУРБИН НА ЭМИССИЮ NOх. Часть 2

Thermoacoustic Instability Considerations for High Hydrogen Combustion in Lean Premixed Gas Turbine Combustors: A Review

Prediction of air pollution from power generation using machine learning

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