Study of Prediction Methods for NOx Emission from Turbofan Engines

Chandrasekaran, N.; Guha, Ayan

doi:10.2514/1.56861

Cited by 5 publications

(11 citation statements)

References 9 publications

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“…A review of alternative NO x prediction models is given in Ref. (31), where it is shown how several different methods produce considerably different answers for the same aero-engine. Emissions on the ground can be measured using a number of techniques (32) , and confidence in the data is robust, but for airborne emissions at high altitude, we still rely on modelling rather than measurements, with a few exceptions (23) .…”

Section: Nomentioning

confidence: 99%

Prediction of aircraft engine emissions using ADS-B flight data

et al. 2021

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Real-time flight data from the Automatic Dependent Surveillance–Broadcast (ADS-B) has been integrated, through a data interface, with a flight performance computer program to predict aviation emissions at altitude. The ADS-B, along with data from Mode-S, are then used to ‘fly’ selected long-range aircraft models (Airbus A380-841, A330-343 and A350-900) and one turboprop (ATR72). Over 2,500 flight trajectories have been processed to demonstrate the integration between databases and software systems. Emissions are calculated for altitudes greater than 3,000 feet (609m) and exclude landing and take-off cycles. This proof of concept fills a gap in the aviation emissions inventories, since it uses real-time flights and produces estimates at a very granular level. It can be used to analyse emissions of gases such as carbon dioxide ( $\mathrm{CO}_2$ ), carbon monoxide (CO), nitrogen oxides ( $\mathrm{NO}_x$ ) and water vapour on a specific route (city pair), for a specific aircraft, for an entire fleet, or on a seasonal basis. It is shown how $\mathrm{NO}_x$ and water vapour emissions concentrate around tropospheric altitudes only for long-range flights, and that the cruise range is the biggest discriminator in the absolute value of these and other exhaust emissions.

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Section: Nomentioning

confidence: 99%

Prediction of aircraft engine emissions using ADS-B flight data

et al. 2021

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“…In a recent study by the present authors, 26 major prediction tools for NOx emission from a gas turbine engine have been systematically analyzed and a new prediction method called the 'NOx -generic' method has been developed. The prediction of 'NOx -generic' compares well with the P 3 À T 3 method (a preferred method by the industries).…”

Section: A New Prediction Tool For Nox Emissionmentioning

confidence: 99%

“…where S NOx is the NOx severity index, and C 1 and C 2 are constants which are to be estimated for a particular engine using EINOx values of ICAO engine emissions databank. 27 C 1 and C 2 are determined from the data for LTO cycle but it has been established in Chandrasekaran and Guha 26 that the same values of the constants and the same equation ( 1) can be used for other phases of the flight such as the cruise. S NOx is obtained by simulating the thermodynamic cycle with GasTurb-11, 28 a commercially available program to compute gas turbine performance.…”

Section: A New Prediction Tool For Nox Emissionmentioning

confidence: 99%

Development and optimization of a sustainable turbofan aeroengine for improved performance and emissions

Chandrasekaran

Guha

2012

Proceedings of the Institution of Mechanical Engineers, Part G:

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Current rapid growth of the aviation transport sector is deemed to be unsustainable because of the large quantities of greenhouse gas the aircrafts emit at sensitive altitudes. To prevent growth limits on this sector being imposed, the airlines must become cleaner. In the present study, a sustainable engine concept -based on intercooled recuperated turbofan, fuelled by liquid hydrogen, and using water injection for take-off and climb-out -is developed. This concept is intended to provide airlines a clean, efficient alternative to conventional engines. A commercially available computer program is used for modeling the sustainable turbofan concept. The optimization scheme of Guha has been applied for the new engine concept for minimizing fuel consumption and the performance of the sustainable turbofan engine in the possible design space has been determined. Comparisons with an existing conventional engine (of same thrust) revealed the significant improvement in overall efficiency (44%), reduction of emissions surpassing the demanding ACARE 2020 goals, improved longevity of the engine, and simplification in turbo-machinery components trying to offset the increase in weight due to the heat exchangers.

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“…Nevertheless, equations of the form NO x , EI = f (p)g(T )h(other parameters) are widely used by climate scientists and engine systems analysts to estimate aircraft engine NO x emissions [16,17]. The effect of p 3 and T 3 are sometimes used directly; examples include the empirical equations reported in this paper as well as the T 3 -p 3 method.…”

Section: Introductionmentioning

confidence: 99%

A Third-Generation Swirl-Venturi Lean Direct Injection Combustor With a Prefilming Pilot Injector

Tacina

Podboy

Dam

et al. 2019

Volume 4A: Combustion, Fuels, and Emissions

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This paper presents experimental results for a low-NOx aero gas turbine combustor, in particular, a third-generation swirl-venturi lean direct injection (SV-LDI-3) combustor concept called V4. The purpose of testing was three-fold. First, to evaluate the combustor against the 80% NOx reduction goal set by NASA’s AATT project. Second, to compare V4 to a previous SV-LDI-3 combustor concept called V3, especially at low power conditions. Third, to examine the accuracy of a type of correlation equation frequently used by engine systems analysis groups to estimate NOx emissions. All three testing goals were met. For the first testing goal, with an estimated NOx reduction of 85%–90%, SV-LDI-3 V4 surpassed the AATT goal. For the second goal, however, V4 did not perform better than V3 at low power conditions. For the third goal, it was found that a major assumption of the correlation equations — a simple dependence on combustor inlet pressure — did not hold.

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Study of Prediction Methods for NOx Emission from Turbofan Engines

Cited by 5 publications

References 9 publications

Prediction of aircraft engine emissions using ADS-B flight data

Prediction of aircraft engine emissions using ADS-B flight data

Development and optimization of a sustainable turbofan aeroengine for improved performance and emissions

A Third-Generation Swirl-Venturi Lean Direct Injection Combustor With a Prefilming Pilot Injector

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