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The composite cycle engine (CCE) offers a promising pathway for significantly reducing fuel burn in future aircraft. By integrating a piston system into the core of a gas turbine, the CCE can utilise higher peak cycle temperatures and pressures and thus, achieve a step-change in thermal efficiency. These conditions also promote increased levels of $\mathrm{NO}_x$ formation. This paper presents a methodology for the preliminary estimation of $\mathrm{NO}_x$ emissions within both the piston engine and the subsequent Joule combustor. Fast-responding parametric models capable of capturing key $\mathrm{NO}_x$ sensitivities, particularly the impact of combustion vitiation through water injection and exhaust gas recirculation (EGR), are established. Piston $\mathrm{NO}_x$ is modelled using a two-zone approach, which demonstrates good correlation with reference engine data from literature. For the Joule combustor, a stochastic flow description is employed to predict $\mathrm{NO}_x$ formation, with validation against an in-service combustor confirming the model’s predictive capability. Initial studies indicate high baseline piston $\mathrm{NO}_x$ emissions, though significant mitigation is achievable through water injection or EGR. This work establishes a framework for future research into the emissions and necessary mitigation strategies for the CCE and other advanced combustion technologies.
Edited by
Alik Ismail-Zadeh, Karlsruhe Institute of Technology, Germany,Fabio Castelli, Università degli Studi, Florence,Dylan Jones, University of Toronto,Sabrina Sanchez, Max Planck Institute for Solar System Research, Germany
Abstract: During the past two decades, there have been significant efforts to better quantify emissions of environmentally important trace gases along with their trends. In particular, there has been a clear need for robust estimates of emissions on policy-relevant scales of trace gases that impact air quality and climate. This need has driven the expansion of the observing network to better monitor the changing composition of the atmosphere. This chapter will discuss the use of various data assimilation and inverse modelling approaches to quantify these emissions, with a focus on the use of satellite observations. It will discuss the inverse problem of retrieving the atmospheric trace gas information from the satellite measurements, and the subsequent use of these satellite data for quantifying sources and sinks of the trace gases.
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