High-performance jet fuel optimization and uncertainty analysis

Kosir, Shane T.; Stachler, Robert D.; Heyne, Joshua S.; Hauck, F. R.

doi:10.1016/j.fuel.2020.118718

Cited by 36 publications

(13 citation statements)

References 15 publications

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“…It should be noted that each aromatic or non-aromatic scenario includes three yield settings: current, baseline, and theoretical. In recent applications [6,8,17], JudO incorporated a robust convergence evaluation which was conducted after finding the initial set of solutions. This was employed in the form of revision rounds where the mole fractions of solutions along the discontinuous portions of the Pareto front served as initializations for the upcoming rounds.…”

Section: Methodsmentioning

confidence: 99%

“…This study incorporates techno-economic analysis (TEA) and lifecycle analysis (LCA) of greenhouse gas emissions [3] into the Jet Fuel Blend Optimizer (JudO) [6], which will optimize the MSP, GHG emissions, specific energy [MJ/kg] (SE), and energy density [MJ/L] (ED) of the fuel while remaining within operability and safety limits. With the functionality of JudO, neat molecule performance can be enhanced beyond the equivalent potential of the isolated neat molecules or fuels, and this study will deliver these optimum values, or Pareto front points, along with the anticipated GHG emissions and MSP associated.…”

Section: Fig 1: Operability and Safety Constraints That Need To Be Met For Novel Saf Approval (Yellow-red Shading) And Opportunities To Imentioning

confidence: 99%

“…For this study, the kinematic viscosities were required at -20°C and -40°C, and therefore needed to be extrapolated to meet these requirements if they were unavailable at these temperatures in the literature. The extrapolation procedure followed the work that was outlined in the literature [6], which aligns with the ASTM D341 procedure [16]. Similarly, the densities for each material considered were required at -20°C, -40°C, and 15°C.…”

Section: Viscosity and Density Extrapolationmentioning

confidence: 99%

“…Furthermore, these three scenarios will be run at two unique settings with the aromatic constraint and without the aromatic constraint outlined in ASTM 7566 [5]. Previous research [6] determined the performance benefits that are available through the removal of the aromatic constraints. This paper will build on this by analyzing the impact of aromatic removal while considering the aforementioned yield scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…One pathway to improve the financial viability of sustainable fuels is to engineer drop-in high-performance fuels (HPFs) that achieve greater energy intensities while remaining within the operability and safety standard limits outlined in ASTM D7566 [5]. By blending molecules at optimized ratios, the HPFs can exceed the cost-benefit threshold established by other SAFs by offering increased flight payload, increased aircraft range, and greater revenue potential through reduced fuel per flight [6]. Figure 1 depicts the categories needed for compatibility and safety (yellow to red colormap) and performance and value (green colormap), main factors considered for each biomassderived fuel from the performance, safety, and operability standpoint.…”

Section: Introductionmentioning

confidence: 99%

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The Co-Optimization of Sustainable Aviation Fuel: Cost, Emissions, and Performance

Feldhausen

Bell

Kosir

et al. 2021

AIAA Scitech 2021 Forum

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The combustion of petroleum-based fuels contributes to increases in atmospheric CO2, contributing to climate change. As other sectors electrify, current battery technology makes this impractical for the aviation industry. The fastest pathway to reducing the carbon contributions of aviation is to create low or no net carbon-emitting drop-in petroleum alternatives. This research explores 3 potential sorghum derived jet fuel molecules from 4 different production routes, hydro-processed esters and fatty acids (HEFA), and Jet A, to identify how blends including these fuels could offer improved performance (MJ/kg, MJ/L) and improved emissions (gCO2/MJ) while minimizing costs. Different applications will value each target metric differently. This research utilizes the Jet Fuel Blend Optimizer (JudO) to create a 4-dimensional Pareto front across potential solutions. The molecules considered will not offer reduced cost compared to conventional jet fuel (Jet A), but they can be utilized to create blends with higher specific energy, greater energy density, and reduced greenhouse gas emissions. Considerations including carbon credits, the sale of byproducts, and the valuation of improved performance will make the proposed molecules more commercially viable. At the lowest region of GHG solutions, coupled with equivalent LCFS approximations, JudO determined blends that could achieve as high as 69% overall carbon reductions at a premium of $0.34/L.

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Section: Methodsmentioning

confidence: 99%

Section: Fig 1: Operability and Safety Constraints That Need To Be Met For Novel Saf Approval (Yellow-red Shading) And Opportunities To Imentioning

confidence: 99%

Section: Viscosity and Density Extrapolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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