Aviation emissions are responsible for an estimated 24,000 premature mortalities annually and 3.5% of anthropogenic radiative forcing (RF). Emissions of nitrogen and sulfur oxides (NOx and SOx) contribute to these impacts. However, the relative contributions and mechanisms linking these emissions to formation and impacts of secondary aerosols (as o
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Prashanth, P., Eastham, S. D., Speth, R., & Barrett, S. R. (2022). Aerosol Formation Pathways from Aviation Emissions (Report No. EnvironResCommun_4_021002). IOP Publishing. https://doi.org/10.1088/2515-7620/ac5229
Prashanth, Prakash, Sebastian D Eastham, Raymond Speth, and Steven R.H. Barrett. Aerosol Formation Pathways from Aviation Emissions. Report no. EnvironResCommun_4_021002. IOP Publishing, 2022. https://doi.org/10.1088/2515-7620/ac5229.
Prashanth, Prakash, et al. Aerosol Formation Pathways from Aviation Emissions. IOP Publishing, 2022, Report no. EnvironResCommun_4_021002, ROSA P. https://doi.org/10.1088/2515-7620/ac5229.
This report provides a primer as to how to conduct human-in-the-loop (HITL) research in which pilots’ responses to unexpected events can be explored for potential mitigations through training. The results of this effort conclude the following findings and recommendations: Identification of key independent and dependent variables for assessing pilot
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Cruit, J., Kochan, J. A., Gruber, M., Diaz, Y., Hancock, P. A., Pruchnicki, S., & Reed, C. (2022). Human-in-the-Loop Method to Test the Effectiveness of Training Pilot Responses to Unexpected Events. Task 4: Training Development Plan. United States. Department of Transportation. Federal Aviation Administration. https://doi.org/10.21949/1528626
Cruit, Jessica, Janeen A Kochan, Mira Gruber, Yazmin Diaz, P. A. Hancock, Shawn Pruchnicki, and Chris Reed. Human-in-the-Loop Method to Test the Effectiveness of Training Pilot Responses to Unexpected Events. Task 4: Training Development Plan. United States. Department of Transportation. Federal Aviation Administration, 2022. https://doi.org/10.21949/1528626.
Cruit, Jessica, et al. Human-in-the-Loop Method to Test the Effectiveness of Training Pilot Responses to Unexpected Events. Task 4: Training Development Plan. United States. Department of Transportation. Federal Aviation Administration, 2022, ROSA P. https://doi.org/10.21949/1528626.
Background: Communities with lower socioeconomic status and higher prevalence of racial/ethnic minority populations are often more exposed to environmental pollutants. Although studies have shown associations between aircraft noise and property values and various health outcomes, little is known about how aircraft noise exposures are socio-demograp
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Simon, M. C., Hart, J. E., Levy, J., VoPham, T., Malwitz, A., Nguyen, D., Bozigar, M., Cupples, L. A., James, P., Laden, F., & Peters, J. L. (2022). Sociodemographic Patterns of Exposure to Civil Aircraft Noise in the United States (Report No. EHP9307). National Institute of Environmental Health Sciences. https://doi.org/10.1289/EHP9307
Simon, Matthew C,, Jaime E Hart, Jonathan Levy, Trang VoPham, Andrew Malwitz, Daniel Nguyen, and Matthew Bozigar, et al.. Sociodemographic Patterns of Exposure to Civil Aircraft Noise in the United States. Report no. EHP9307. National Institute of Environmental Health Sciences, 2022. https://doi.org/10.1289/EHP9307.
Simon, Matthew C,, et al. Sociodemographic Patterns of Exposure to Civil Aircraft Noise in the United States. National Institute of Environmental Health Sciences, 2022, Report no. EHP9307, ROSA P. https://doi.org/10.1289/EHP9307.
Social science has an important role in aviation biofuels research, yet social science methods and approaches tend to be underdeveloped and under-utilized in the broader aviation biofuels literature and biofuels overall. Over the last 5 years, social science approaches in aviation biofuels research, particularly site-selection, have made several ad
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Anderson, B. J., Mueller, D. W., Hoard, S. A., Sanders, C. M., & Rijkhoff, S. A. M. (2022). Social Science Applications in Sustainable Aviation Biofuels Research: Opportunities, Challenges, and Advancements (Report No. fenrg-09-771849). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.771849
Anderson, Brian J, Daniel W Mueller, Season A Hoard, Christina M Sanders, and Sanne A M Rijkhoff. Social Science Applications in Sustainable Aviation Biofuels Research: Opportunities, Challenges, and Advancements. Report no. fenrg-09-771849. Frontiers in Energy Research, 2022. https://doi.org/10.3389/fenrg.2021.771849.
Anderson, Brian J, et al. Social Science Applications in Sustainable Aviation Biofuels Research: Opportunities, Challenges, and Advancements. Frontiers in Energy Research, 2022, Report no. fenrg-09-771849, ROSA P. https://doi.org/10.3389/fenrg.2021.771849.
Induced Land Use Changes (ILUCs) can decrease the environmental benefits of Sustainable Aviation Fuels (SAFs) if produced from traditional food crops. The development of oilseed cover crops can eliminate the side effect of ILUCs for biofuel production because they come in rotation with the major crops with some savings in demand for new cropland. T
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Taheripour, F., Sajedinia, E., & Karami, O. (2022). Oilseed Cover Crops for Sustainable Aviation Fuels Production and Reduction in Greenhouse Gas Emissions Through Land Use Savings (Report No. fenrg-09-790421). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.790421
Taheripour, Farzad, Ehsanreza Sajedinia, and Omid Karami. Oilseed Cover Crops for Sustainable Aviation Fuels Production and Reduction in Greenhouse Gas Emissions Through Land Use Savings. Report no. fenrg-09-790421. Frontiers in Energy Research, 2022. https://doi.org/10.3389/fenrg.2021.790421.
Taheripour, Farzad, et al. Oilseed Cover Crops for Sustainable Aviation Fuels Production and Reduction in Greenhouse Gas Emissions Through Land Use Savings. Frontiers in Energy Research, 2022, Report no. fenrg-09-790421, ROSA P. https://doi.org/10.3389/fenrg.2021.790421.
Site selection modeling receives much attention in the aviation biofuels literature to ensure sustainability of the aviation biofuel supply chain. These models seek to reflect the multitude of factors and conditions necessary for supply chain success. Social factors impacting that success have received increasingly greater attention but are often e
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Boglioli, M., Mueller, D. W., Strauss, S., Hoard, S. A., Beeton, T. A., & Budowle, R. (2022). Searching for Culture in “Cultural Capital”: The Case for a Mixed Methods Approach to Production Facility Siting (Report No. fenrg-09-772316). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.772316
Boglioli, Marc, Daniel W Mueller, Sarah Strauss, Season A Hoard, Tyler A Beeton, and Rachael Budowle. Searching for Culture in “Cultural Capital”: The Case for a Mixed Methods Approach to Production Facility Siting. Report no. fenrg-09-772316. Frontiers in Energy Research, 2022. https://doi.org/10.3389/fenrg.2021.772316.
Boglioli, Marc, et al. Searching for Culture in “Cultural Capital”: The Case for a Mixed Methods Approach to Production Facility Siting. Frontiers in Energy Research, 2022, Report no. fenrg-09-772316, ROSA P. https://doi.org/10.3389/fenrg.2021.772316.
A quantitative structure–property relationship model has been developed to predict the threshold sooting index (TSI) of arbitrary mixtures of aliphatic and aromatic hydrocarbons of known composition. The model employs contributions from eight molecular fragments plus a global shift and a penalty factor for naphthenic compounds. For each coefficient
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Boehm, R. C., Yang, Z., & Heyne, J. (2022). Threshold Sooting Index of Sustainable Aviation Fuel Candidates From Composition Input Alone: Progress Toward Uncertainty Quantification (Report No. acs.energyfuels.1c03794). American Chemical Society. https://doi.org/10.1021/acs.energyfuels.1c03794
Boehm, Randall C., Zhibin Yang, and Joshua Heyne. Threshold Sooting Index of Sustainable Aviation Fuel Candidates From Composition Input Alone: Progress Toward Uncertainty Quantification. Report no. acs.energyfuels.1c03794. American Chemical Society, 2022. https://doi.org/10.1021/acs.energyfuels.1c03794.
Boehm, Randall C., et al. Threshold Sooting Index of Sustainable Aviation Fuel Candidates From Composition Input Alone: Progress Toward Uncertainty Quantification. American Chemical Society, 2022, Report no. acs.energyfuels.1c03794, ROSA P. https://doi.org/10.1021/acs.energyfuels.1c03794.
United States. Department of Transportation. Federal Aviation Administration
2022-01-01
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PDF
ToxFlo is a system developed using Microsoft Access, suited to the needs of BSRB Forensic Sciences. To accomplish the Lab’s mission of conducting toxicological analyses, the system allows entry and security of demographics and analytical information related to investigations into accidents involving primarily aircraft, but also includes accidents f
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United States. Department of Transportation. Federal Aviation Administration (2022). ToxFlo Description and Data Dictionary. United States. Department of Transportation. Federal Aviation Administration. https://doi.org/10.21949/1524427
United States. Department of Transportation. Federal Aviation Administration. ToxFlo Description and Data Dictionary. United States. Department of Transportation. Federal Aviation Administration, 2022. https://doi.org/10.21949/1524427.
United States. Department of Transportation. Federal Aviation Administration ToxFlo Description and Data Dictionary. United States. Department of Transportation. Federal Aviation Administration, 2022, ROSA P. https://doi.org/10.21949/1524427.
The aviation sector seeks to reduce greenhouse gas (GHG) emissions, with manufacturers and airlines announcing “zero-emission” goals and plans. Reduced carbon aviation fuels are central to meeting these goals. However, current and near-term aircraft, which will remain flying for decades, are designed around the combustion of petroleum-based aviatio
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Kramer, S., Andac, G., Heyne, J., Ellsworth, J., Herzig, P., & Lewis, K. C. (2022). Perspectives on Fully Synthesized Sustainable Aviation Fuels: Direction and Opportunities (Report No. fenrg-09-782823). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.782823
Kramer, Stephen, Gurhan Andac, Joshua Heyne, Joseph Ellsworth, Peter Herzig, and Kristin C. Lewis. Perspectives on Fully Synthesized Sustainable Aviation Fuels: Direction and Opportunities. Report no. fenrg-09-782823. Frontiers in Energy Research, 2022. https://doi.org/10.3389/fenrg.2021.782823.
Kramer, Stephen, et al. Perspectives on Fully Synthesized Sustainable Aviation Fuels: Direction and Opportunities. Frontiers in Energy Research, 2022, Report no. fenrg-09-782823, ROSA P. https://doi.org/10.3389/fenrg.2021.782823.
Demand-side restrictions on high-deforestation commodities are expanding as a climate policy, but their impact on reducing tropical deforestation and emissions has yet to be quantified. Here we model the effects of demand-side restrictions on high-deforestation palm oil in Europe on deforestation and emissions in Indonesia. We do so by integrating
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Busch, J., Amarjargal, O., Taheripour, F., Austin, K. G., Siregar, R. N., Koenig, K., & Hertel, T. W. (2022). Effects of Demand-Side Restrictions on High-Deforestation Palm Oil in Europe on Deforestation and Emissions in Indonesia (Report No. EnvironResLett_17_014035). IOP Publishing. https://doi.org/10.1088/1748-9326/ac435e
Busch, Jonah, Oyut Amarjargal, Farzad Taheripour, Kemen G Austin, Rizki Nauli Siregar, Kellee Koenig, and Thomas W Hertel. Effects of Demand-Side Restrictions on High-Deforestation Palm Oil in Europe on Deforestation and Emissions in Indonesia. Report no. EnvironResLett_17_014035. IOP Publishing, 2022. https://doi.org/10.1088/1748-9326/ac435e.
Busch, Jonah, et al. Effects of Demand-Side Restrictions on High-Deforestation Palm Oil in Europe on Deforestation and Emissions in Indonesia. IOP Publishing, 2022, Report no. EnvironResLett_17_014035, ROSA P. https://doi.org/10.1088/1748-9326/ac435e.
A validation methodology and evaluation of delayed deceleration approach performance and noise-impact modeling using noise measurements and radar data are presented. Advanced procedures such as delayed deceleration approaches, where aircraft maintain higher speeds and therefore remain cleanly configured and at lower thrust levels for longer flight
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Huynh, J. L., Mahseredjian, A., & Hansman, R. J. (2022). Delayed Deceleration Approach Noise Impact and Modeling Validation (Report No. 1.c036631). Huynh, Jacqueline L. https://doi.org/10.2514/1.C036631
Huynh, Jacqueline L, Ara Mahseredjian, and R. John Hansman. Delayed Deceleration Approach Noise Impact and Modeling Validation. Report no. 1.c036631. Huynh, Jacqueline L, 2022. https://doi.org/10.2514/1.C036631.
Huynh, Jacqueline L, et al. Delayed Deceleration Approach Noise Impact and Modeling Validation. Huynh, Jacqueline L, 2022, Report no. 1.c036631, ROSA P. https://doi.org/10.2514/1.C036631.
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute. Aerospace Medical Education Division
2021-12-28
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Aeromedical Safety Brochures
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Aeromedical Safety Brochures are prepared for general aviation pilots, commercial pilots and physicians. The brochures acquaint the aviation community with the physiological challenges of the aviation environment and relevant safety concerns.
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute. Aerospace Medical Education Division (2021). Oxygen Equipment: Use in General Aviation Operations (2021) (Report No. OK-21-0375). United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute. https://doi.org/10.21949/1404295
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute. Aerospace Medical Education Division. Oxygen Equipment: Use in General Aviation Operations (2021). Report no. OK-21-0375. United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute, 2021. https://doi.org/10.21949/1404295.
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute. Aerospace Medical Education Division Oxygen Equipment: Use in General Aviation Operations (2021). United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute, 2021, Report no. OK-21-0375, ROSA P. https://doi.org/10.21949/1404295.
The Metroplex Overflight Noise Analysis (MONA) project seeks to measure, analyze, and archive the ground noise generated by aircraft overflights and to provide accurate and actionable data for a variety of different purposes. On the one hand, experimental datasets collected and processed by the MONA system can serve as an openly-available database
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Jackson, D. C., Rindfleisch, T. C., & Alonso, J. J. (2021). A System for Measurement and Analysis of Aircraft Noise Impacts (Report No. engproc-13-00006). MDPI. https://doi.org/10.3390/ engproc2021013006
Jackson, Donald C, Thomas C Rindfleisch, and Juan J Alonso. A System for Measurement and Analysis of Aircraft Noise Impacts. Report no. engproc-13-00006. MDPI, 2021. https://doi.org/10.3390/ engproc2021013006.
Jackson, Donald C, et al. A System for Measurement and Analysis of Aircraft Noise Impacts. MDPI, 2021, Report no. engproc-13-00006, ROSA P. https://doi.org/10.3390/ engproc2021013006.
A translational study provides an informed approach to solving issues based on scientific research. This study provides background information on extended reality (XR) technology; discusses its use, value, and potential; and provides practical applications to solve certain issues based on the research. The Electronic Emergency Evacuation Aid for Ai
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Breeding, L. L., Weed, D. B., & Beben, M. S. (2021). Extended Reality for Cabin Safety I: A Translational Study of Extended Reality Technology in Training and Research (Report No. DOT/FAA/AM-21/31). United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine. https://doi.org/10.21949/1524429
Breeding, Levi L, David B. Weed, and Melissa S Beben. Extended Reality for Cabin Safety I: A Translational Study of Extended Reality Technology in Training and Research. Report no. DOT/FAA/AM-21/31. United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine, 2021. https://doi.org/10.21949/1524429.
Breeding, Levi L, et al. Extended Reality for Cabin Safety I: A Translational Study of Extended Reality Technology in Training and Research. United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine, 2021, Report no. DOT/FAA/AM-21/31, ROSA P. https://doi.org/10.21949/1524429.
Already low volume (<1mL) test methods facilitate the development of sustainable aviation fuel platforms and higher fidelity computational methods. Here a novel technique with two-dimensional gas chromatography (GCxGC) and Vacuum Ultraviolet (VUV) identification is used to characterize fuel composition and determine properties compared to previous work. Ten properties are predicted, including the temperature dependence of density, viscosity, thermal conductivity, and heat capacity. Property predictions incorporate uncertainty quantification (UQ) from analyte quantification (UQ1), root property uncertainty (UQ2), and the uncertainty associated with isomeric variance (UQ3), when an analyte is not identified via VUV. Comparisons to a previous method illustrate the ability of VUV identification to increase the fidelity of property predictions and decrease uncertainties. This method is applied to a surrogate intended to mimic the first-order properties and composition of a representative Jet A/A-1. In addition to nominal and temperature-dependent properties, the derived cetane number (DCN) of the surrogate is calculated for the distillation fraction evolved. The DCN there is shown to vary across the fraction of fuel distilled. Collectively, this method documents a process to prescreen novel sustainable aviation fuel candidates, facilitate the development of chemical process models, and automate property determinations for computational fluid dynamics.
Heyne, J., Bell, D. C., Feldhausen, J., Yang, Z., & Boehm, R. C. (2021). Towards Fuel Composition and Properties From Two-Dimensional Gas Chromatography With Flame Ionization and Vacuum Ultraviolet Spectroscopy (Report No. j.fuel.2021.122709). Elsevier. https://doi.org/10.1016/j.fuel.2021.122709
Heyne, Joshua, David C Bell, John Feldhausen, Zhibin Yang, and Randall C. Boehm. Towards Fuel Composition and Properties From Two-Dimensional Gas Chromatography With Flame Ionization and Vacuum Ultraviolet Spectroscopy. Report no. j.fuel.2021.122709. Elsevier, 2021. https://doi.org/10.1016/j.fuel.2021.122709.
Heyne, Joshua, et al. Towards Fuel Composition and Properties From Two-Dimensional Gas Chromatography With Flame Ionization and Vacuum Ultraviolet Spectroscopy. Elsevier, 2021, Report no. j.fuel.2021.122709, ROSA P. https://doi.org/10.1016/j.fuel.2021.122709.
The international aviation industry has the goal to gradually reduce carbon emissions mainly by using sustainable aviation fuel (SAF). However, currently SAF cannot be produced at competitive prices relative to petroleum-based jet fuel. Pennycress is a crop whose oilseed could be used as a relatively low-cost feedstock to produce SAF, potentially b
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Trejo-Pech, C. O., Larson, J. A., English, B. C., & Yu, T. E. (2021). Biofuel Discount Rates and Stochastic Techno-Economic Analysis for a Prospective Pennycress (Thlaspi arvense L.) Sustainable Aviation Fuel Supply Chain (Report No. fenrg-09-770479). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.770479
Trejo-Pech, Carlos Omar, James A Larson, Burton C English, and T Edward Yu. Biofuel Discount Rates and Stochastic Techno-Economic Analysis for a Prospective Pennycress (Thlaspi arvense L.) Sustainable Aviation Fuel Supply Chain. Report no. fenrg-09-770479. Frontiers in Energy Research, 2021. https://doi.org/10.3389/fenrg.2021.770479.
Trejo-Pech, Carlos Omar, et al. Biofuel Discount Rates and Stochastic Techno-Economic Analysis for a Prospective Pennycress (Thlaspi arvense L.) Sustainable Aviation Fuel Supply Chain. Frontiers in Energy Research, 2021, Report no. fenrg-09-770479, ROSA P. https://doi.org/10.3389/fenrg.2021.770479.
The mitigation of aviation environmental effects is one of the key requirements for sustainable aviation growth. Among various mitigation strategies, Noise Abatement Departure Procedures (NADPs) are a popular and effective measure undertaken by several operators. However, a large variation in departure procedures is observed in real operations. Thi
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Bhanpato, J., Puranik, T. G., & Mavris, D. (2021). Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation (Report No. engproc-13-00002). MDPI. https://doi.org/10.3390/ engproc2021013002
Bhanpato, Jirat, Tejas G Puranik, and Dimitri Mavris. Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation. Report no. engproc-13-00002. MDPI, 2021. https://doi.org/10.3390/ engproc2021013002.
Bhanpato, Jirat, et al. Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation. MDPI, 2021, Report no. engproc-13-00002, ROSA P. https://doi.org/10.3390/ engproc2021013002.
This paper quantifies the impact of different policy options on the economic viability of sustainable aviation fuel (SAF) production technologies. The pathways considered include isobutanol to jet from corn grain, hydroprocessed esters and fatty acids (HEFA) from inedible fats and oils, HEFA from palm fatty acid distillate, synthesized iso-paraffin
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Wang, Z. J., Staples, M. D., Tyner, W. E., Zhao, X., Malina, R., Olcay, H., Allroggen, F., & Barrett, S. R. (2021). Quantitative Policy Analysis for Sustainable Aviation Fuel Production Technologies (Report No. fenrg-09-751722). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.751722
Wang, Z Juju, Mark D Staples, Wallace E. Tyner, Xin Zhao, Robert Malina, Hakan Olcay, Florian Allroggen, and Steven R.H. Barrett. Quantitative Policy Analysis for Sustainable Aviation Fuel Production Technologies. Report no. fenrg-09-751722. Frontiers in Energy Research, 2021. https://doi.org/10.3389/fenrg.2021.751722.
Wang, Z Juju, et al. Quantitative Policy Analysis for Sustainable Aviation Fuel Production Technologies. Frontiers in Energy Research, 2021, Report no. fenrg-09-751722, ROSA P. https://doi.org/10.3389/fenrg.2021.751722.
Sustainable aviation fuel (SAF) has been considered as a potential means to mitigate greenhouse gas (GHG) emissions from the aviation sector, which is projected to continuously expand. This study examines the impact of developing a SAF sector along with carbon credits on carbon equivalent emissions from aviation using a Stackelberg leader-follower
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Sharma, B. P., Yu, T. E., English, B. C., & Boyer, C. N. (2021). Economic Analysis of Developing a Sustainable Aviation Fuel Supply Chain Incorporating With Carbon Credits: A Case Study of the Memphis International Airport (Report No. fenrg-09-775389). Frontiers in Energy Research. https://doi.org/10.3389/fenrg.2021.775389
Sharma, Bijay P, T Edward Yu, Burton C English, and Christopher N Boyer. Economic Analysis of Developing a Sustainable Aviation Fuel Supply Chain Incorporating With Carbon Credits: A Case Study of the Memphis International Airport. Report no. fenrg-09-775389. Frontiers in Energy Research, 2021. https://doi.org/10.3389/fenrg.2021.775389.
Sharma, Bijay P, et al. Economic Analysis of Developing a Sustainable Aviation Fuel Supply Chain Incorporating With Carbon Credits: A Case Study of the Memphis International Airport. Frontiers in Energy Research, 2021, Report no. fenrg-09-775389, ROSA P. https://doi.org/10.3389/fenrg.2021.775389.
A deep learning-based method for denoising and detecting the gas turbine engine spray droplets in the light-scattered image (Mie scattering) is proposed for the first time. A modified U-Net architecture is employed in the proposed method to denoise and regenerate the droplets. We have compared and validated the performance of the modified U-Net arc
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Hasti, V. R., & Shin, D. (2021). Denoising and Fuel Spray Droplet Detection From Light-Scattered Images Using Deep Learning (Report No. j.egyai.2021.100130). Elsevier. https://doi.org/10.1016/j.egyai.2021.100130
Hasti, Veeraraghava Raju and Dongyun Shin. Denoising and Fuel Spray Droplet Detection From Light-Scattered Images Using Deep Learning. Report no. j.egyai.2021.100130. Elsevier, 2021. https://doi.org/10.1016/j.egyai.2021.100130.
Hasti, Veeraraghava Raju, and Dongyun Shin Denoising and Fuel Spray Droplet Detection From Light-Scattered Images Using Deep Learning. Elsevier, 2021, Report no. j.egyai.2021.100130, ROSA P. https://doi.org/10.1016/j.egyai.2021.100130.
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