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@@ -133,19 +133,18 @@ @article{RubiniAccel
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@article{RubiniApplTherm,
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title = {Energy Conversion Mechanisms in Turbomachines for High-Temperature Endothermic Reactions: Redefining Energy Quality},
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journal = {Applied Thermal Engineering (Accepted)},
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doi = {http://dx.doi.org/10.2139/ssrn.4886621},
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url = {http://dx.doi.org/10.2139/ssrn.4886621},
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html = {http://dx.doi.org/10.2139/ssrn.4886621},
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doi = {https://doi.org/10.1016/j.applthermaleng.2024.124566},
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url = {https://doi.org/10.1016/j.applthermaleng.2024.124566},
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html = {https://doi.org/10.1016/j.applthermaleng.2024.124566},
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author = {Rubini, Dylan and Rosic, Budimir and Xu, Liping},
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keywords = {Turbomachinery, endothermic chemical processes, steam cracking, turbo-reactor, loss breakdown},
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abstract = {Through the growth of a new field of applications for turbomachines, an entirely new aerothermochemical design space has been revealed. The most complex of these new applications is the decarbonization of hard-to-abate high-temperature endothermic chemical reaction processes. This paper explains how the novel turbo-reactor, developed for these industries, has the potential to be ``chemically reaction tuned'' for the specific reaction dynamics. By leveraging aerodynamic losses, the energy-supply rate distribution into the chemical reaction can be designed to match an ideal reaction-efficient temperature profile while simultaneously promoting flowfield uniformity. This is not possible in conventional furnaces. Exploiting losses in this way is an inherently new approach to turbomachinery design. In conventional turbomachinery design, it is well know that the aim is to mitigate losses. To understand why this new design philosophy is logical, chemical exergy is introduced as a new vector of energy quality for turbomachines. Fundamentally, the mechanical energy imparted by the rotating blade row is converted into internal energy to drive the reaction primarily through viscous mechanisms. Therefore, to optimize the aerodynamic design of the bladed flow path to match an ideal energy transfer and transformation profile for the reaction, the physics and breakdown of the energy conversion mechanisms must be understood. This study achieves this by exploiting URANS and LES to numerically investigate the breakdown of these mechanisms over a range of flow regimes.},
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abstract = {A new class of turbomachines, called turbo-reactors, have emerged to decarbonize high-temperature chemical processes. These applications unlock a new aerothermochemical design space for turbomachines. This paper explains how the turbo-reactor has the potential to be a “chemically tuned” device. In contradiction with conventional design wisdom, this can be achieved by balancing entropy generation within the flow against heat absorption by the reaction. This enables the “design” of a reaction-efficient temperature profile. To do this, it is necessary to understand and quantify the distribution of the entropic and isentropic mechanisms responsible for energy conversion. This paper uses high- and low-fidelity computations to decompose the energy conversion process into mechanisms based on a spatial decomposition. A range of Mach and Reynolds number regimes are studied, as well as a multistage configuration without vaneless space. The energy conversion breakdown analysis indicates that the entropic energy conversion dominates over the isentropic component with a contribution of 65%. The dominant source of entropy production is viscous dissipation generated by the thick diffuser trailing edge, accounting for 25% of the total. The shock system provides 20% of the energy conversion, almost entirely due to reversible pressure rise rather than entropy production. The energy conversion coefficient is independent of Reynolds number over engine-relevant conditions, whereas Mach effects are more significant. Across the Mach numbers range 1.1 to 1.5, the energy conversion coefficient increases by 20%. This is lower than expected as a result of the opposing effects of reversible and irreversible energy conversion contributions.}
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abbr={Appl. Therm. Eng.},
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dimensions={true},
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year = {2024},
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month = {8},
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volume = {146},
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number = {3},
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pages = {031005},
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year = {2025},
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month = {1},
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volume = {258},
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pages = {124566},
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selected={true}
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}
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