Toward a Real-Fluid Modeling Framework for Sustainable Aviation Fuels

Jordi Poblador-Ibanez, Lorenzo Nocivelli
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Abstract

A multi-agency effort is underway to decarbonize the aviation industry by 2050 and replace current fossil fuels such as Jet A. Carbon-free hydrogen-based technologies are a long-term opportunity for some markets, but the introduction of new sustainable aviation fuels (SAF) is necessary for a fleet-wide transition. These biofuels are synthesized to meet specific aviation fuel requirements; thus, they may be used in current jet engines without major modifications (i.e., drop-in SAF), accelerating the transition to net-zero carbon emissions by focusing on the life cycle of the biofuel (i.e., circular economy). Given the increased costs associated with the SAF certification process, a deeper understanding of the biofuel behavior at relevant operating conditions, ranging from take-off to high-altitude relight, becomes necessary to define the best candidates. This work investigates the performance of a real-fluid model (RFM), built upon cubic equations of state, in predicting the relevant fuel properties that dictate the atomization, evaporation, and combustion processes. The simpler composition spectrum of SAFs compared to current fuels justifies the development of this modeling approach targeting its application to computational fluid dynamics (CFD) solvers as a more detailed alternative to typical surrogate mixing rules and tabulated properties. The study showcases the capabilities of the RFM using National Jet Fuels Combustion Program's (NJFCP) Category C fuels and offers guidelines toward the development of reliable and robust fluid-dynamics models to support the adoption of SAF in a broad range of conditions, including transcritical regimes. Here, the behavior of the mixtures challenges the validity of ideal fluid models and, therefore, the proposed formulation allows for a realistic fuel characterization at high-pressure and high-temperature conditions, and to explore beyond the currently available experimental datasets.

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建立可持续航空燃料的实际流体模型框架
无碳氢基技术对某些市场来说是一个长期机会,但引入新的可持续航空燃料(SAF)对整个机队的过渡是必要的。这些生物燃料是为满足特定航空燃料要求而合成的;因此,它们可用于当前的喷气发动机,无需进行重大改动(即即用型 SAF),通过关注生物燃料的生命周期(即循环经济),加速向净零碳排放过渡。鉴于 SAF 认证过程的相关成本增加,有必要深入了解生物燃料在从起飞到高空重新点火等相关操作条件下的行为,以确定最佳候选方案。这项工作研究了建立在立方状态方程基础上的真实流体模型(RFM)在预测决定雾化、蒸发和燃烧过程的相关燃料特性方面的性能。与目前的燃料相比,SAF 的成分谱更为简单,因此有理由开发这种建模方法,并将其应用于计算流体动力学(CFD)求解器,作为典型的代用混合规则和表列属性的更详细替代方案。这项研究利用国家喷气燃料燃烧计划(NJFCP)的 C 类燃料展示了 RFM 的能力,并为开发可靠、稳健的流体动力学模型提供了指导,以支持在包括跨临界状态在内的各种条件下采用 SAF。在这里,混合物的行为对理想流体模型的有效性提出了挑战,因此,所建议的配方允许在高压和高温条件下对燃料进行真实的表征,并探索目前可用的实验数据集之外的其他方法。
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