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Proceeding Paper

The Well-to-Wake Emissions of Conventional and Emerging Propulsion Technologies Across Current and Future Scenarios: Insights from the exFAN Project †

Innovation in Research & Engineering Solutions (IRES) SILVERSQUARE EUROPE Square de Meeûs 35, 1000 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Presented at the 15th EASN International Conference, Madrid, Spain, 14–17 October 2025.
Eng. Proc. 2026, 133(1), 52; https://doi.org/10.3390/engproc2026133052
Published: 28 April 2026

Abstract

As aviation faces growing pressure to reduce its climate impact, the exFAN project investigates a hydrogen fuel cell aircraft concept equipped with a heat recuperation system that reuses waste thermal energy to improve efficiency and lower fuel demand. This study compares the exFAN configuration with five major propulsion pathways, kerosene, bio-fuel, e-fuel, hydrogen combustion, and standard fuel cell systems, through an integrated well-to-wake (WTT + TTW) assessment including both CO2 and non-CO2 effects. The exFAN results are preliminary and based on analytical estimations regarding potential efficiency gains and fuel savings, providing an indicative view of hydrogen aviation’s lowest achievable climate footprint.

1. Introduction

Aviation is one of the hardest sectors to decarbonize. Although responsible for about 2.5% of global CO2 emissions, its total climate impact increases to 3.5–5% of global radiative forcing when non-CO2 effects such as contrails, NOₓ, and water vapor are included [1,2]. These indirect effects are comparable to direct CO2 emissions and highlight the need for a full well-to-wake perspective. With air traffic expected to double by mid-century, deep cuts require propulsion concepts beyond incremental efficiency gains.
Decarbonization pathways include bio-fuels, e-fuels, electric propulsion, and hydrogen-based systems [2]. Bio-fuels recycle biogenic carbon, while e-fuels synthesized from green hydrogen and captured CO2 offer drop-in compatibility with reduced life-cycle emissions when powered by renewables. Hydrogen combustion eliminates in-flight CO2 but emits NOₓ and water vapor, whereas hydrogen fuel cell propulsion converts hydrogen electrochemically with no in-flight CO2 and minimal NOₓ. These options differ widely in maturity, infrastructure needs, and environmental performance.
The exFAN project develops a next-generation hydrogen fuel cell aircraft integrating heat recuperation to recover waste thermal energy and reuse it for reactant preheating or thrust assistance, improving propulsive efficiency and reducing hydrogen demand. Recent work by Gerl et al. [3] similarly emphasizes the benefits of advanced heat exchange integration in hydrogen–electric propulsion.
The current literature remains fragmented [4,5,6,7], often isolating fuel production (WTT), operational (TTW) impacts or non-CO2 effects. Comparative studies of hydrogen combustion and fuel cell aircraft are limited, and few examine prospective 2050 scenarios. This work provides an integrated well-to-wake comparison of six propulsion systems—kerosene, bio-fuel, e-fuel, hydrogen combustion, hydrogen fuel cell, and exFAN—under a harmonized framework that consistently includes WTT, TTW, and non-CO2 emissions. It introduces the exFAN configuration as an efficiency-enhanced hydrogen fuel cell concept, outlining the lower-bound climate footprint achievable through advanced hydrogen aviation technologies.

2. Methodology

2.1. System Boundaries and Functional Unit

The goal and scope of this study are to focus on fuel production and use-phase emissions, corresponding to the well-to-tank (WTT) and tank-to-wake (TTW) stages, which together represent the full well-to-wake (WTW) emissions for each propulsion system. Upstream processes include fuel extraction, production, and distribution, while downstream stages capture in-flight operational emissions. Moreover, dedicated studies on A320-class aircraft indicate that aircraft manufacturing and airport infrastructure are not dominant contributors to climate impacts, with operational emissions representing the main source of CO2 in cradle-to-gate assessments [8,9]. Non-CO2 climate effects—NOₓ, contrails, and water vapor—are also included and expressed as CO2-equivalent emissions using published radiative forcing multipliers. The functional unit is one passenger-kilometer (PKM) for a medium-haul A320neo-type aircraft carrying 160 passengers, enabling the consistent comparison of propulsion systems on an equal transport service basis.

2.2. Scenario Design and Harmonized Assumptions

A harmonized modeling framework was applied across all propulsion options, assuming an A320-equivalent aircraft with identical payload, passenger capacity, and mission profile. Two time horizons were defined to reflect present and future energy system conditions (Table 1). The 2025 baseline represents current industrial practice, with hydrogen supplied via Steam Methane Reforming (SMR) and electricity from the German grid mix. The 2050 scenario assumes a fully decarbonized system powered by 100% wind electricity and hydrogen produced via Proton Exchange Membrane Water Electrolysis (PEMWE). For bio-fuels and e-fuels, a 100% drop-in blending ratio was applied to ensure comparability. Mission parameters were kept constant across cases, isolating the effect of fuel and propulsion technology on total emissions. Table 1 summarizes all scenario assumptions.

2.3. Fuel Consumption Estimation

Baseline fuel consumption for the kerosene-powered A320neo was taken from literature and industry data, adopting 0.025 kg fuel per passenger-km in line with HAW Hamburg values [10]. Fuel demand for each alternative was then adjusted for:
  • Differences in the lower heating value (LHV) between fuels, which affect the amount of energy released per kilogram of fuel.
  • Engine and propulsive efficiency ratios, reflecting how effectively each propulsion system converts fuel energy into thrust.
  • Aircraft weight changes resulting from fuel storage requirements or system modifications, which influence overall fuel consumption.
Fuel demand for each alternative technology was computed using the following relation:
m f u e l , a l t = m f u e l , k e r o ( L H V k e r o L H V a l t ) ( η k e r o η a l t ) ( W a l t W k e r o )
This relation links the fuel demand of each alternative not only to the fuel’s lower heating value but also to the corresponding engine efficiency and the resulting aircraft weight changes.

2.4. Life-Cycle Inventory (LCI) and Data Sources

Background data for all fuel production pathways were sourced from Ecoinvent v3.10, with electricity mixes adapted to the 2025 and 2050 scenarios described in Table 1. Modeling and calculations were performed in SimaPro v9.6.0, which supports process-based LCA modeling, impact assessment, and scenario analysis. Non-CO2 emission factors and their conversion to CO2-equivalents followed Lee et al. [5], while GWP100 values were taken from IPCC AR6 (2021) [11].
Upstream (well-to-tank, WTT) emissions were quantified using CO2 intensities per kilogram of fuel (kg CO2/kg fuel), covering extraction, conversion, and distribution. For each propulsion pathway, these values were obtained from Ecoinvent v3.10 or the recent literature. The resulting upstream CO2 intensities for all fuels and scenarios are summarized in Table 2. The 2025 cases reflect current production technologies and electricity mixes, while the 2050 cases represent renewable-based systems and decarbonized energy supply, consistent with the scenario assumptions in Section 2.3.
To ensure consistency, emissions were either taken directly from the literature or recalculated using the published inventories with updated background data (Ecoinvent v3.10) and the scenario-specific electricity mixes defined in Section 2.3. For bio-fuels, the average value of HEFA-based pathways from Prussi et al. [6] was adopted, as these represent the most mature and widely deployed bio-fuel route. For 2050 scenarios, hydrogen-related processes were updated by substituting the 2025 SMR supply with PEMWE-based hydrogen powered by 100% wind electricity, maintaining harmonized system boundaries across all pathways.

2.5. Climate Change Impact

Climate impacts were quantified using the GWP100 indicator, expressed as grams of CO2-equivalent per passenger-kilometer (g CO2-eq/PKM).
  • WTT emissions were calculated by multiplying the fuel mass required for each scenario (Section 2.3) by the corresponding production-related CO2 intensities (Section 2.4).
  • TTW emissions include direct CO2 (where applicable) and non-CO2 effects, with the latter converted to CO2-equivalents using radiative forcing multipliers for NOₓ, contrails, and water vapor. For kerosene, multipliers were taken from Lee et al. [5]; for alternative propulsion systems, non-CO2 impacts were scaled relative to kerosene using the percentage changes reported in the literature to reflect differing NOₓ formations and contrail behaviors.
  • Total well-to-wake impacts were obtained by summing WTT and TTW contributions.
A consolidated calculation links fuel use, emission factors, and radiative forcing multipliers to determine the final g CO2-eq/PKM value.

2.6. exFAN Fuel Consumption Estimation

For the exFAN configuration, the energy demand of a reference hydrogen fuel cell aircraft was adjusted to reflect the expected efficiency gain from the integrated heat recuperation system. Based on project design targets and ongoing internal simulations, a conservative upper-bound assumption of a 10% increase in propulsive efficiency was adopted, corresponding to an approximately 10% reduction in hydrogen consumption under identical flight conditions. This reduction was applied before calculating well-to-wake emissions, while all other parameters like hydrogen source, electricity mix, system boundaries, and non-CO2 treatment remained identical to the reference fuel cell case. This value represents a scenario assumption coming from consultation with project consortium experts rather than a validated performance result and is used to explore the potential sustainability implications of heat recuperation.

3. Results

Figure 1 presents the combined well-to-wake (WTW) emissions of the assessed propulsion systems for 2025 and 2050, decomposed into well-to-tank (WTT), tank-to-wake CO2, and tank-to-wake non-CO2 contributions. The corresponding relative changes in each category compared with the 2025 kerosene baseline are summarized in Table 3.
Kerosene shows the lowest upstream (WTT) contribution due to its mature, efficient production chain. Although its total climate impact is high, its supply chain emissions are relatively small compared with bio-fuels, e-fuels, and hydrogen fuel production routes. For e-fuels and hydrogen propulsion, hydrogen production dominates WTT emissions because H2 is required either as a synthesis intermediate or as the final fuel. In 2025, when hydrogen is mainly produced via SMR, e-fuels exhibit the highest upstream footprint due to the combined demands of hydrogen generation and CO2 conversion. By 2050, the assumed shift to renewable electrolysis (PEMWE) could reduce upstream emissions by more than 70% for all hydrogen-based pathways, underscoring their strong dependence on electricity’s carbon intensity.
Among the assessed propulsion systems, only kerosene combustion releases fossil CO2 during flight. For bio-fuels, biogenic CO2 emissions emitted from fuel combustion are assumed to be offset by the biomass carbon uptake that happened during feedstock growth and cultivation. E-fuels emit CO2 captured during synthesis, yielding a near-net-zero balance between production and use. Hydrogen combustion and fuel cell systems emit no in-flight CO2, as hydrogen oxidation produces only water vapor. This explains the disappearance of TTW CO2 bars for all 2050 hydrogen-based configurations in Figure 1.
Non-CO2 effects remain significant and vary across pathways:
  • NOₓ: Formed only in high-temperature combustion; kerosene, bio-fuels, e-fuels, and hydrogen combustion exhibit similar levels, while fuel cell systems eliminate NOₓ due to low-temperature operation.
  • Water vapor: Comparable for hydrocarbon fuels; hydrogen combustion and fuel cells emit approximately 2.5× more due to stoichiometric water formation.
  • Contrails: Synthetic hydrocarbons produce slightly less persistent contrails (lower soot), hydrogen combustion forms larger but more transparent contrails, and fuel cell exhaust is the least favorable for contrail formation [13].
Overall, bio-fuels and e-fuels reduce non-CO2 impacts by ~19% and hydrogen combustion by ~27%, while fuel cell and exFAN configurations achieve the largest reductions due to the absence of NOₓ and minimal contrail-forming exhaust.
By 2050, under the assumption of carbon-free hydrogen during the use phase, hydrogen combustion and fuel cell systems eliminate direct CO2 emissions and yield the lowest non-CO2 effects, with fuel cells showing the smallest total WTW footprint. The exFAN configuration improves further on the fuel cell baseline through heat recuperation, providing ~10% higher propulsive efficiency and reduced hydrogen demand. Overall, exFAN achieves ~80% lower CO2-equivalent emissions than kerosene and ~11% lower than those of a conventional fuel cell aircraft.

4. Discussion and Conclusions

Hydrogen propulsion offers substantial decarbonization potential; however, its net benefit depends on low-carbon fuel supply chains, efficiency-enhancing system integration such as exFAN, and the effective mitigation of non-CO2 effects. Among the assessed concepts, exFAN shows the lowest well-to-wake (WTW) impact due to its heat recuperation system, which is assumed to enhance propulsive efficiency by reducing hydrogen demand relative to a conventional fuel cell configuration, thereby directly lowering upstream emissions that dominate the WTW footprint of hydrogen-based aviation systems. This highlights the importance of system-level efficiency improvements in addition to fuel substitution when evaluating future hydrogen aircraft concepts.
As operational emissions decline across advanced propulsion concepts, aviation climate performance becomes increasingly driven by upstream hydrogen and electricity production pathways, underscoring the critical role of fully decarbonized energy systems in realizing the climate benefits of hydrogen aviation. Differences between propulsion concepts therefore become increasingly sensitive to assumptions regarding electricity mix, hydrogen production technology, and overall energy system maturity.
Non-CO2 effects remain critical contributors to aviation climate impact and require targeted mitigation through operational measures (e.g., routing and altitude optimization), improved exhaust temperature control, or emerging catalytic solutions. Compared with combustion-based concepts, exFAN benefits from low-temperature operation, eliminating NOₓ formation and potentially reducing water vapor-induced and contrail-related climate effects.

5. Limitations and Future Work

This study uses simplified prospective scenarios rather than a full prospective life-cycle assessment and therefore does not capture dynamic supply chain evolution or future background system changes. Future work will extend the framework to a full prospective LCA integrating evolving energy mixes and system-level performance metrics.
A second limitation is the high uncertainty in aviation non-CO2 climate effects, as reported by Lee et al. [5]. The CO2-equivalent factors used here inherit the wide confidence intervals reported by Lee et al. [5], limiting the precision of the estimates. Future work should incorporate updated radiative forcing data, uncertainty ranges, and assessments of mitigation strategies such as contrail avoidance and high-temperature optimization.

Author Contributions

Conceptualization, A.P.; methodology, A.P. and A.G.; validation, A.P. and A.G.; formal analysis, A.P.; investigation, A.P. and A.G.; data curation, A.P. and A.G.; writing—original draft preparation, A.P. and A.G.; writing—review and editing, E.K.; visualization, A.P.; supervision, E.K.; project administration, E.K.; funding acquisition, E.K. All authors have read and agreed to the published version of the manuscript.

Funding

The activities presented in this paper were carried out as part of the European Union’s Horizon 2020 research and innovation programme exFAΝ: “exFAΝ—Novel recuperation system to maximize exergy from anergy for fuel cell powered geared electric aircraft propulsion system.” (Grant Agreement no. Project 101138184).

Data Availability Statement

The data presented in this study are available on request from the corresponding author. Restrictions apply to the availability of background LCI data derived from licensed databases (e.g., ecoinvent). Additional data were obtained from scientific literature and project-generated inputs.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. International Air Transport Association (IATA). Non-CO2 Climate Effects: Contrails. Available online: https://www.iata.org/en/programs/sustainability/non-co2-emissions-contrails/ (accessed on 5 November 2025).
  2. Su-Ungkavatin, P.; Tiruta-Barna, L.; Hamelin, L. Biofuels, electrofuels, electric or hydrogen: A review of current and emerging sustainable aviation systems. Prog. Energy Combust. Sci. 2023, 96, 101073. [Google Scholar] [CrossRef]
  3. Gerl, B.; Ronovsky-Bodisch, M.; Ferrari, N.; Berens, M. Fundamentals of Innovative Aircraft Heat Exchanger Integration for Hydrogen–Electric Propulsion. Aerospace 2025, 12, 320. [Google Scholar] [CrossRef]
  4. CE Delft. Potential for Reducing Aviation Non-CO2 Emissions through Cleaner Jet Fuel; CE Delft: Delft, The Netherlands, 2022; Available online: https://cedelft.eu/publications/potential-for-reducing-aviation-non-co2-emissions-through-cleaner-jet-fuel/ (accessed on 2 November 2025).
  5. Lee, D.S.; Fahey, D.W.; Skowron, A.; Allen, M.R.; Burkhardt, U.; Chen, Q.; Doherty, S.J.; Freeman, S.; Forster, P.M.; Fuglestvedt, J.; et al. The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018. Atmos. Environ. 2021, 244, 117834. [Google Scholar] [CrossRef] [PubMed]
  6. Prussi, M.; Lee, U.; Wang, M.; Malina, R.; Valin, H.; Taheripour, F.; Velarde, C.; Staples, M.D.; Lonza, L.; Hileman, J.I. CORSIA: The first internationally adopted approach to calculate life-cycle GHG emissions for aviation fuels. Renew. Sustain. Energy Rev. 2021, 150, 111398. [Google Scholar] [CrossRef]
  7. Cho, H.H.; Strezov, V.; Evans, T.J. Environmental impact assessment of hydrogen production via steam methane reforming based on emissions data. Energy Rep. 2022, 8, 13585–13595. [Google Scholar] [CrossRef]
  8. Roosien, R.J.; Lim, M.N.A.; Petermeijer, S.M.; Lammen, W.F. Multi-Modal Life Cycle Assessment of Journeys by Aircraft, Train or Passenger Car. Aerospace 2024, 11, 98. [Google Scholar] [CrossRef]
  9. Lewis, T. A Life Cycle Assessment of the Passenger Air Transport System Using Three Flight Scenarios. Master’s Thesis, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, 2013. [Google Scholar]
  10. Kühn, M. Fuel Consumption of the 50 Most Used Passenger Aircraft; Project Report; Hamburg University of Applied Sciences: Hamburg, Germany, 2023. [Google Scholar]
  11. Intergovernmental Panel on Climate Change (IPCC). Climate Change 2021: The Physical Science Basis; Cambridge University Press: Cambridge, UK, 2021. [Google Scholar]
  12. Bareiß, K.; de la Rua, C.; Möckl, M.; Hamacher, T. Life cycle assessment of hydrogen from proton exchange membrane water electrolysis in future energy systems. Appl. Energy 2019, 237, 862–872. [Google Scholar] [CrossRef]
  13. Clean Sky 2 Joint Undertaking; Fuel Cells and Hydrogen 2 Joint Undertaking. Hydrogen-Powered Aviation: A Fact-Based Study of Hydrogen Technology, Economics, and Climate Impact by 2050; Publications Office of the European Union: Luxembourg, 2020.
Figure 1. Breakdown of well-to-wake emissions for alternative aviation propulsion systems in 2025 and 2050.
Figure 1. Breakdown of well-to-wake emissions for alternative aviation propulsion systems in 2025 and 2050.
Engproc 133 00052 g001
Table 1. Summary of scenario parameters for baseline and future scenarios.
Table 1. Summary of scenario parameters for baseline and future scenarios.
TimeframeYearH2 ProductionElectricity Source
Current2025Steam Methane
Reforming (SMR)
Country-Based Mix 2020 (GE)
Future2050Proton Exchange
Membrane Water
Electrolysis (PEMWE)
100% Wind Power (mix: 13.7% <1 MW onshore, 8.2% >3 MW onshore, 2.9% offshore, 75.2% 1–3 MW onshore)
Table 2. Upstream CO2 emissions for fuel production in 2025 and 2050 across the assessed scenarios.
Table 2. Upstream CO2 emissions for fuel production in 2025 and 2050 across the assessed scenarios.
Scenario Fuelkg CO2/
kg Fuel
Source
Kerosene aircraft 2025Kerosene 0.69[8]
Bio-fuel aircraft 2025Bio-fuel * 1.32[6]
E-fuel aircraft 2025E-fuel 7.86[12]/[7]
Bio-fuel aircraft 2050Bio-fuel * 1.01[6]
E-fuel aircraft 2050E-fuel **1.79[12]/100% Wind
H2 combustion aircraft 2050H2 **1.79[12]/100% Wind
Fuel cell aircraft 2050H2 **1.59[12]/100% Wind
exFAN 2050H2 **1.59[12]/100% Wind
* Non-biogenic carbon content. ** Recalculated from published inventories using updated background data (Ecoinvent v3.10), scenario-specific electricity mixes and process modifications (e.g., SMR → PEMWE substitution, 100% wind power), consistent with the scenario definitions described in Section 2.2.
Table 3. Relative change (%) in WTT, TTW and overall emissions compared with 2025 kerosene baseline.
Table 3. Relative change (%) in WTT, TTW and overall emissions compared with 2025 kerosene baseline.
ScenarioWTT
(%)
TTW
(CO2) (%)
TTW
(non-CO2) (%)
Overall
Change (%)
Kerosene aircraft 20250000
Bio-fuel aircraft 2025+96−100−19−47
E-fuel aircraft 2025+1266−100−1976
Bio-fuel aircraft 2050+34−100−19−53
E-fuel aircraft 2050+167−100−19−40
H2 combustion aircraft 2050−18−100−27−62
Fuel cell aircraft 2050+4−100−68−76
exFAN 2050−15−100−70−79
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MDPI and ACS Style

Pappas, A.; Gkika, A.; Koumoulos, E. The Well-to-Wake Emissions of Conventional and Emerging Propulsion Technologies Across Current and Future Scenarios: Insights from the exFAN Project. Eng. Proc. 2026, 133, 52. https://doi.org/10.3390/engproc2026133052

AMA Style

Pappas A, Gkika A, Koumoulos E. The Well-to-Wake Emissions of Conventional and Emerging Propulsion Technologies Across Current and Future Scenarios: Insights from the exFAN Project. Engineering Proceedings. 2026; 133(1):52. https://doi.org/10.3390/engproc2026133052

Chicago/Turabian Style

Pappas, Athanasios, Anastasia Gkika, and Elias Koumoulos. 2026. "The Well-to-Wake Emissions of Conventional and Emerging Propulsion Technologies Across Current and Future Scenarios: Insights from the exFAN Project" Engineering Proceedings 133, no. 1: 52. https://doi.org/10.3390/engproc2026133052

APA Style

Pappas, A., Gkika, A., & Koumoulos, E. (2026). The Well-to-Wake Emissions of Conventional and Emerging Propulsion Technologies Across Current and Future Scenarios: Insights from the exFAN Project. Engineering Proceedings, 133(1), 52. https://doi.org/10.3390/engproc2026133052

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