ORIGINAL RESEARCH article

Front. Aerosp. Eng., 15 September 2026

Sec. Energetics and Propulsion

Volume 5 - 2026 | https://doi.org/10.3389/fpace.2026.1946082

A systems-level analysis of energy, infrastructure, and economic viability of commercial hypersonic point-to-point (P2P)

  • Independent Researcher, Wellington, New Zealand

Abstract

Introduction:

Commercial hypersonic point-to-point (P2P) travel promises intercontinental flights in under 90 min, yet viability depends on systems-level integration of advanced technologies and infrastructure. This paper addresses the critical question of whether such travel can be technically feasible, economically viable, and environmentally sustainable within the coming decades.

Methods:

We analyze two core technological pillars—Turbine-Based Combined Cycle (TBCC) propulsion and adaptive morphing aerodynamics—integrated within a multidisciplinary framework addressing thermal management. The central contribution is a coupled techno-economic model that quantifies interdependencies between propulsion efficiency, hydrogen costs, infrastructure capital expenditure, lifecycle carbon intensity, and operating costs. Liquid hydrogen (LH2) is posited as indispensable due to its specific impulse and cooling capacity for air-breathing hypersonic propulsion.

Results:

Three quantitative findings emerge: (1) green hydrogen must reach €2–3 kg−1 by 2035–2040 for levelized cost of travel (LCOT) to fall below €0.60 passenger-km−1; (2) a 100-aircraft fleet requires 1.65 Mt yr−1 LH2, corresponding to 15–20 GW electrolysis capacity and €10–20B capital expenditure; (3) well-to-wake emissions for green-hydrogen pathways range from 150–350 g CO2e passenger-km−1, representing a 70%–80% reduction relative to subsonic Jet-A operations.

Discussion:

Commercial viability necessitates realistic deployment beginning 2035–2045, following a staged pathway, with 2030 reframed as aspirational for flight demonstration rather than entry-into-service. The path forward requires concurrent advancement across the entire value chain—presenting a system-of-systems integration challenge with hydrogen at its core. We conclude that while hypersonic P2P travel is technically plausible, its realization hinges on coordinated progress in propulsion, infrastructure, and green hydrogen production, demanding immediate and sustained cross-sector investment.

1 Introduction

The pursuit of ultra-fast global travel through hypersonic point-to-point (P2P) transportation represents a Frontier in aerospace engineering, targeting travel times under 90 min for intercontinental distances (e.g., 10,000+ km) and signaling a paradigm shift in long-distance mobility (Callsen et al., 2023). Boretti (2023) assessed the feasibility of hydrogen-powered hypersonic commercial aircraft for such ultra-fast travel, outlining a significant promise for reduced environmental and economic costs while detailing extensive technical challenges. These challenges include thermal management, materials science for extreme environments (Peters et al., 2024), seamless propulsion across Mach 0–10+ (requiring advanced combined-cycle engines such as TBCC, the development of which involves multidisciplinary integration challenges as summarized in recent reviews (Lin et al., 2024)), and sonic boom mitigation. The study concluded that development is constrained by resources and that success ultimately depends on broader social, political, and economic factors, including synergies with military programs and the wider adoption of hydrogen in aviation. Therefore, a significant wave of experimental and design data from major flight test campaigns and ground facility experiments is required. This data will provide the first high-fidelity validation of integrated vehicle models and critical subsystem performance under real flow conditions. The importance of robust early-stage sizing tools with a focus on multidisciplinary correctness has been emphasized, with studies assessing the adaptability of historic guides like the 1965 USAF Space Planners Guide for modern missions (Coley et al., 2014).

Recent work on liquid hydrogen propulsion has examined performance characteristics across various thermochemical conditions and oxidizers (Yilmaz et al., 2025a), current developments and future directions for hypergolic propellant systems (Yilmaz et al., 2025b), and the challenges and future directions for hydrogen-powered jet engines (Yilmaz et al., 2025). A multi-criteria decision framework for performance evaluation of liquid hydrogen rocket fuel systems with different oxidizers has also been proposed (Yilmaz et al., 2026).

This paper adopts 2030 as an aspirational target for integrated flight demonstration and technology maturation, not commercial service. The staged deployment pathway positions the first niche commercial operations in the 2035–2038 timeframe, with full-scale commercial service by 2045–2055. This framing acknowledges the substantial lead time required for TBCC development, green hydrogen infrastructure build-out, and regulatory certification—all of which are currently at TRL 3–5 and require coordinated public-private investment to reach operational readiness.

This paper offers a distinct contribution positioned at the intersection of aerospace engineering and energy systems analysis. While prior work has examined hydrogen hypersonics primarily from a propulsion or aerothermodynamic perspective (Boretti, 2024; Urzay, 2018; Fry, 2004; Curran, 2001), we explicitly frame the problem as a coupled energy-transport system (IEA, 2022; IRENA, 2020). The central research question is not merely “can we build it?” but rather “under what energy infrastructure scenarios and hydrogen cost trajectories does hypersonic P2P travel become economically viable and environmentally beneficial?” (Fusaro et al., 2020; Mukhopadhaya and Rutherford, 2022). This reframing is essential because the energy density, storage requirements, and production pathways for hydrogen fundamentally constrain aircraft design, operational range, and lifecycle emissions in ways that traditional aerospace analysis has underappreciated (Kossarev, Scholz, and Hornung, 2022).

Figure 1 presents the comprehensive dependency map for achieving commercial hypersonic point-to-point transport. This map serves as the organizing framework for the remainder of the paper. The chart illustrates how the unique properties of Liquid Hydrogen (LH2) enable three core technological pillars: propulsion via Turbine-Based Combined Cycle (TBCC) engines, adaptive morphing aerodynamics, and an integrated Thermal and Energy Management System (TEMS). These technologies are interdependent and must converge within a Validated High-Fidelity Multidisciplinary Design and Analysis (MDAO) framework. The success of this integrated technical development is a necessary precondition for commercial viability. In the dependency map, the central enabler, liquid hydrogen (LH2), is positioned at the top to illustrate that it directly enables all three technical pillars. These three pillars are interconnected through bidirectional arrows to emphasize their strong interdependence, meaning progress in one area directly influences the others. The hydrogen supply chain—encompassing production, liquefaction, storage, transport, and airport dispensing—then feeds into the fuel cost parameter, which becomes a key input to the MDAO framework. The MDAO hub serves as the central convergence point where all technologies integrate before reaching the final outcome: commercial hypersonic point-to-point transport. Parallel to this technical convergence, three external constraints—environmental (sonic boom regulation), economic (hydrogen fuel cost and infrastructure), and regulatory (airworthiness certification)—act as parallel prerequisites and are represented by dashed arrows pointing toward the outcome. The chart uses a clear color code: blue for the three technical pillars, yellow for the hydrogen supply chain and economics, green for the MDAO integration hub, red for the external constraints, and purple for the final commercial outcome. Each of these elements is addressed in the following sections.

FIGURE 1

Appendix A proposes the Key Parameters for Techno-Economic Framework, while Appendix B proposes the H2ET Model—Pseudocode. A Comprehensive List of Abbreviations Used in This Manuscript is then proposed in Appendix C.

1.1 Aims of this review

This narrative review synthesizes the current state of research to argue that the viability of hydrogen-powered hypersonic P2P travel is not merely a propulsion or materials challenge, but a complex, interdependent system-of-systems problem spanning energy production, storage infrastructure, airport logistics, and aircraft design. The primary aim is to delineate and connect the critical path dependencies, demonstrating that liquid hydrogen (LH

2

) is the foundational enabler due to its unique thermodynamic properties, while its adoption creates a cascade of co-dependent requirements across the energy supply chain. Specifically, this work aims to:

  • Articulate the Centrality of Hydrogen: Detail how hydrogen’s high specific impulse and cooling capacity are non-negotiable for the efficiency of TBCC propulsion and integrated Thermal and Energy Management Systems (TEMS) (Fusaro et al., 2019), making it the critical technological keystone. We further quantify the system-level implications of hydrogen’s low volumetric energy density on aircraft sizing and infrastructure requirements.

  • Map the Core Technological Pillars: Analyze the status and interdependencies of the three LH2-enabled technical pillars: (a) TBCC propulsion systems, focusing on the challenge of efficient mode transition (Lin et al., 2024); (b) adaptive morphing aerodynamics for wide-speed-range flight (Dai et al., 2020; Zhao et al., 2020; Bao et al., 2021; Chen et al., 2023; Jiao et al., 2015); and (c) advanced thermal protection and energy management (Wang et al., 2025; Yu et al., 2025; Wan et al., 2025). For each pillar, we identify the specific demands placed on hydrogen fuel quality, delivery pressure, and cryogenic handling.

  • Quantify the Energy-Economics Coupling: Develop a novel analytical framework linking hydrogen production pathways (green, blue, pink), liquefaction energy penalties (∼30–40% of LH2 energy content), transport and storage costs (€/kg per 1000 km), and projected cost curves (€2–6/kg by 2030–2040) to aircraft-level metrics (DOC, payload-range, tankage mass fraction) (Fusaro et al., 2018; Fusaro et al., 2020; Kelly et al., 2009). This framework enables sensitivity analysis of economic viability under alternative energy policy and technology scenarios.

  • Assess Environmental Lifecycle Performance: Conduct a well-to-wake (WTWa) lifecycle assessment (LCA) of hydrogen-powered hypersonic transport, comparing greenhouse gas emissions (g CO2e/passenger-km) and contrail effects against subsonic aviation (kerosene and SAF) and alternative high-speed modes (Kossarev, Scholz, and Hornung, 2022; IPCC, 2023). We identify the green hydrogen production pathways and grid carbon intensities required for hypersonic P2P to achieve climate benefits relative to existing travel modes.

  • Map Infrastructure Readiness and Investment Requirements: Analyze the state of global hydrogen infrastructure—production capacity (GW-scale electrolysis), liquefaction plants, high-pressure storage, cryogenic transport (liquid hydrogen tankers, pipeline networks), and airport hydrant refueling systems (IEA, 2022; IEA, 2023). We estimate capital expenditure (CAPEX in billions €) required for a minimal viable network serving a first-generation hypersonic fleet of 50–100 aircraft and identify the geopolitical and logistical challenges of deploying LH2 at intercontinental aviation hubs.

  • Identify Parallel Ecosystem Constraints: Systematically examine the non-technical factors—economic (hydrogen cost and infrastructure), regulatory (safety certification and sonic boom rules), and operational (air traffic integration)—that act as concurrent constraints on commercial feasibility (Pollock and Wild, 2024; Lariviere and Kezirian, 2019; Nishimoto and Kezirian, 2023), arguing that technological progress alone is insufficient.

  • Propose an Integrated Development Pathway: Advocate for a concurrent, multidisciplinary development strategy that advances high-fidelity design tools validated by flight test data alongside the maturation of the hydrogen economy and regulatory frameworks, framing the 2030 goal as a holistic integration challenge where energy infrastructure investments and aerospace technology readiness must advance in lockstep (Maynard et al., 2025; Webber, 2013).

The primary aim of this study is to develop and apply a coupled Hypersonic Hydrogen Energy-Transport (H2ET) model that explicitly links aircraft design parameters (specific impulse, lift-to-drag ratio, mass fractions) with hydrogen infrastructure economics (production cost, liquefaction energy, transport logistics, airport storage). This framework enables four concrete objectives: (i) determination of the hydrogen cost and performance thresholds required for commercial viability, (ii) quantification of the infrastructure scale and capital investment needed to support a first-generation fleet, (iii) assessment of the lifecycle environmental performance of hydrogen-powered hypersonic transport relative to alternative modes, and (iv) identification of a staged deployment pathway with policy interventions to accelerate progress. The central thesis is that hypersonic P2P transport must be treated not as an aerospace project with an energy requirement, but as an energy-transport system requiring concurrent investment across aircraft, infrastructure, and regulation.

By connecting these technical, energy systems, and ecosystem-level threads, this work provides a structured dependency map for stakeholders—including aerospace engineers, energy policymakers, infrastructure investors, and aviation regulators—clarifying that the journey to 90-min global travel is a tightly coupled endeavor where success in one domain is intrinsically linked to progress in all others. The paper’s core thesis is that hypersonic P2P transport can be understood as a demand driver for green hydrogen infrastructure, and conversely, the availability of low-cost green hydrogen is the fundamental prerequisite for commercially viable hypersonic aviation. This mutual dependence creates a classic chicken-and-egg problem that requires coordinated policy and investment across sectors.

1.2 Positioning of this work relative to previous studies

This manuscript builds upon, but substantially extends, the author’s prior contributions to hydrogen hypersonic transportation. Boretti (2023) provided a high-level feasibility assessment of hydrogen hypersonic commercial aircraft, focusing on the technological challenges (thermal management, materials, propulsion) and concluding that development is constrained by resources and broader social/political/economic factors. Boretti (2024) focused specifically on hydrogen combined-cycle propulsion, reviewing advancements in TBCC architectures and their applications.

The present work differs from and extends these prior studies in the following fundamental ways:

  • Systems-level integration: Unlike the propulsion-focused Boretti (2024) or the high-level feasibility review of Boretti (2023), this paper presents a coupled techno-economic framework (the H2ET model) that explicitly links aircraft design parameters (Isp, L/D, mass fractions) with hydrogen infrastructure economics (production cost, liquefaction energy, transport logistics, airport storage). This coupling is the central contribution.

  • Novel analytical frameworks: This paper introduces: (a) the Levelized Cost of Travel (LCOT) metric for cross-modal comparison, (b) the dependency map in Figure 1 organizing the critical path, and (c) a staged deployment pathway with quantified infrastructure investment requirements. None of these were present in Boretti (2023) or Boretti (2024).

  • Infrastructure-centric analysis: While prior work acknowledged infrastructure as a challenge, this paper quantifies the scale of infrastructure investment (€12–27B for a 100-aircraft fleet), the energy penalty of liquefaction (30%–40% of LH2 LHV), the well-to-wake emissions for alternative H2 pathways, and the airport retrofit costs. This represents a shift from feasibility assessment to investment-grade scoping.

  • Explicit timeline realism: This paper adopts a staged timeline (demonstrator 2030–2035, niche 2038–2042, early commercial 2045–2050, mature 2050–2060), whereas Boretti (2023) used the 2030 target without staging. The revised timeline acknowledges the lead time for infrastructure and certification.

  • Environmental lifecycle assessment: This paper includes a well-to-wake LCA for hydrogen pathways, including non-CO2 effects (NOx, contrails, stratospheric water vapor), which were not quantified in prior work.

In essence, this manuscript treats hypersonic P2P travel not as an aerospace project with an energy requirement, but as an energy-transport system requiring concurrent investment across aircraft, infrastructure, and regulation. The tables and figures introduced here—particularly the LCOT framework, dependency map, and infrastructure investment estimates—are novel contributions that move beyond the prior feasibility reviews into actionable techno-economic analysis.

2 Materials and methods

This study is a narrative review, synthesizing recent peer-reviewed literature, technical reports, and conference proceedings on hydrogen-powered hypersonic point-to-point transport. The analysis focuses on integrating findings across three core technical domains—propulsion, aerodynamics, and thermal management—and their interdependencies with safety, economic, and regulatory constraints (Boretti, 2023; Boretti, 2024; Lin et al., 2024; Peters et al., 2024; Pollock and Wild, 2024). The goal is to construct a coherent dependency map that outlines the critical path and system-level challenges for achieving commercial viability by the 2035–2045 timeframe.

2.1 Novel analytical framework

In addition to the narrative review, this paper introduces a novel analytical framework—the Hypersonic Hydrogen Energy-Transport (H

2

ET) model—that couples aerospace design parameters with hydrogen infrastructure economics. The framework consists of four integrated modules:

  • Module 1: Aircraft Performance Module–Based on the Breguet range equation adapted for hydrogen-fueled TBCC vehicles (Boretti, 2024; Van Wie et al., 2005), this module computes required hydrogen fuel mass as a function of range (R, km), specific impulse (Isp, s), lift-to-drag ratio (L/D), and structural mass fraction (Maynard et al., 2025). The Breguet equation is used solely for cruise-phase fuel estimation. For hypersonic vehicles, a significant fraction (typically 30%–40%) of total fuel loading is consumed during acceleration to cruise Mach number. The total mission fuel mass must therefore be computed as the sum of acceleration, cruise, deceleration, and cooling penalties, not from the cruise equation alone. The key output is the hydrogen fuel mass fraction (Mfuel/Mtakeoff) as a function of mission parameters.

  • Module 2: Hydrogen Supply Chain Module–This module models the delivered cost of liquid hydrogen (€/kg) at airport hydrants as a function of: (a) production pathway (electrolysis efficiency and electricity cost, steam methane reforming with CCS, or biomass gasification) (IEA, 2022; IRENA, 2020), (b) liquefaction energy (kWh/kg LH2, typically 10–15 kWh/kg representing 30%–40% of LH2 energy content), (c) transport distance and mode (pipeline, liquid tanker, or compressed tube trailer), (d) storage (cryogenic tanks with boil-off rates of 0.1%–0.5% per day), and (e) dispensing infrastructure. Uncertainty ranges for each parameter are drawn from the literature and industry roadmaps (BNEF, 2023).

  • Module 3: Economic Module–This module calculates direct operating cost (DOC) per passenger-km using a modified version of standard aviation cost equations (Fusaro et al., 2018; Fusaro et al., 2020; Kelly et al., 2009):

We extend prior cost models by explicitly allocating infrastructure amortization to per-kg fuel cost (C

infrastructure

), reflecting the capital cost of hydrogen production, liquefaction, and airport storage systems allocated per kg of fuel dispensed. We compute levelized cost of travel (LCOT, in €/passenger-km) using a discounted cash flow (DCF) approach with a 10% weighted average cost of capital (WACC) over a 20-year asset life.

  • Module 4: Lifecycle Assessment Module–Following ISO 14040/14044 standards and adapted from the well-to-wake (WTWa) methodology used in aviation LCA studies (Kossarev, Scholz, and Hornung, 2022; IPCC, 2023), this module computes greenhouse gas emissions (g CO2e/passenger-km) for hydrogen produced via alternative pathways, including fugitive hydrogen emissions and contrail effects. We explicitly model the carbon intensity (g CO2/kWh) of the electricity grid used for electrolysis, enabling scenario analysis based on grid decarbonization trajectories (IEA, 2023). The greenhouse gases included are CO2, CH4, N2O, and NOx, with a 100-year global warming potential (GWP100) applied for all climate forcers. The GWP of fugitive hydrogen emissions is assumed to be 11–13 based on current atmospheric research (IPCC, 2023).

Input parameter uncertainty is characterized using ranges drawn from published sources (Supplementary Appendix Table A1 in Appendix). Scenario analysis is conducted for 2030 (near-term), 2040 (mid-term), and 2050 (long-term) based on projected hydrogen cost curves, grid carbon intensities, and technology learning rates for electrolyzers (alkaline, PEM, and solid oxide) (IRENA, 2020; Lazard, 2025).

2.2 Methodological note on data extrapolation

This analysis addresses a significant challenge: the absence of empirical data for hypersonic P2P systems in the 2035–2045 timeframe. No commercial hypersonic aircraft exist, TBCC propulsion remains at TRL 4–5 with no integrated flight tests completed, and airport cryogenic hydrogen infrastructure for large-scale operations has not been deployed. Consequently, the author has reinterpreted available data from analogous domains—subsonic/supersonic aviation, military hypersonic programs, industrial hydrogen logistics, and energy system roadmaps—to produce estimates appropriate for this emerging application.

Key parameters (Isp, L/D, maintenance costs, infrastructure CAPEX) were synthesized from peer-reviewed literature (Fusaro et al., 2018; 2020; Maynard et al., 2025; Mauriello et al., 2024a), energy agency reports (IRENA, 2020; IEA, 2022), and industry roadmaps (BNEF, 2023; Lazard, 2025), then scaled using established aerospace CERs and technology learning curves. The Hypersonic Hydrogen Energy-Transport (H2ET) model couples aircraft performance, hydrogen supply chain, economic, and lifecycle modules, with parameter ranges (Supplementary Appendix Table A1) reflecting 10th-90th percentile uncertainty. All baseline values are conservative, and the staged deployment pathway acknowledges the inherent uncertainty in early-stage technology assessment. For parameters marked as “author’s estimate” in Supplementary Appendix Table A1, concrete scaling sources are provided: Kennedy Space Center boil-off data (0.1%–0.5%/day), industrial leakage rates (1%–5% from H2 infrastructure studies), Linde/Air Liquide/Chart Industries catalogues for cryogenic equipment costs, and Heathrow and Rotterdam feasibility studies for airport infrastructure estimates. These estimates serve as scoping values for strategic planning and policy development, requiring refinement as flight test data and infrastructure projects advance.

3 Results

3.1 Current status of hydrogen aviation programs: lessons from ongoing initiatives

The central thesis of this paper—that infrastructure is the binding constraint on hydrogen-powered hypersonic aviation—is strongly supported by recent revisions to major hydrogen aircraft development schedules. This subsection reviews the current state of hydrogen aviation programs and the lessons learned from their schedule adjustments.

  • Airbus ZEROe Program: Airbus originally targeted 2035 for entry-into-service of a hydrogen-powered commercial aircraft. In 2024, the company acknowledged that this timeline was optimistic, citing challenges in hydrogen infrastructure, production, distribution, and regulatory readiness (Airbus, 2023 press statements). The program has been refocused on component maturation and engine testing (with CFM International on a hydrogen combustion demonstrator), with the aircraft platform decision postponed. This reversal directly supports the finding that aircraft technology alone is insufficient; the hydrogen ecosystem must evolve in parallel.

  • ZeroAvia: This company has conducted successful flight tests of hydrogen-electric powertrains on 19-seat aircraft (HyFlyer II) and is progressing toward 40–80 seat regional aircraft by 2027–2028. However, the company has also acknowledged that scaling to larger aircraft requires substantial improvements in liquid hydrogen storage density and airport infrastructure (ZeroAvia, 2024 investor presentations).

  • Universal Hydrogen: This company developed modular hydrogen capsule systems for regional aircraft and conducted test flights. However, it filed for bankruptcy in 2024, citing the high capital costs of hydrogen infrastructure and the slow pace of airport adoption. This case is a cautionary tale: even with a technically viable product, the lack of airport readiness and hydrogen supply prevented commercial scale-up.

  • HyPoint and H2Fly: These companies have demonstrated hydrogen fuel cell systems for aviation but face similar infrastructure bottlenecks. H2Fly’s successful 2023 flight of a 4-seat demonstrator required mobile hydrogen refueling systems, highlighting that even small-scale operations depend on non-airport hydrogen logistics.

  • European Clean Hydrogen Partnership (formerly FCH JU): The EU’s flagship hydrogen aviation program has funded multiple projects (HY4, RHEA, ENABLE-H2) focusing on liquid hydrogen tanks, fuel cells, and combustion engines. The common theme across all projects is that ground infrastructure testing (airport refueling, cryogenic storage, safety procedures) is the pacing item, not the in-flight technology.

The key Lessons for Hypersonic P2P are the following:

  • Infrastructure lead time is longer than aircraft development. Airport certification, safety procedures, and hydrogen supply chain build-out take 5–10 years, often exceeding aircraft development timelines.

  • Chicken-and-egg problem. Hydrogen producers will not invest in capacity without demand; airlines will not order hydrogen aircraft without assured fuel supply; airports will not install infrastructure without operator commitments. Government intervention (advance market commitments, subsidies) appears necessary.

  • Early markets are critical. Regional aviation (ZeroAvia, Universal Hydrogen) was expected to provide the first market for hydrogen infrastructure, creating a “demand pull.” The failure of Universal Hydrogen and the slowdown at Airbus suggest that even this early market faces substantial barriers.

  • Safety and certification are underestimated. Liquid hydrogen handling at airports requires new standards (EASA and FAA are still developing them). These regulatory processes typically take 5–10 years from first proposal to final rule.

  • Hypersonic P2P faces the same infrastructure challenges amplified by scale. A hypersonic aircraft consuming 50–100 tons of LH2 per flight requires an order-of-magnitude more infrastructure than regional hydrogen aircraft. If regional hydrogen aviation is struggling to achieve commercial viability due to infrastructure barriers, hypersonic P2P at 2030 scale is even more constrained.

These lessons inform the staged deployment pathway and the extended timeline adopted in this paper.

3.2 The hydrogen energy imperative for hypersonic propulsion

For the energy systems audience, we begin by establishing why hydrogen—not methane, ammonia, or synthetic kerosene—is the only viable fuel for hypersonic air-breathing propulsion (Boretti, 2024; Urzay, 2018). Table 1 extends the traditional specific impulse comparison to include energy density metrics critical for energy infrastructure planning.

TABLE 1

FuelGravimetric energy density (MJ/kg)Volumetric energy density (MJ/L)Isp range (s) for scramjetProduction pathwaysLiquefaction temp (K at 0.1 MPa)Storage pressure (bar)Boil-off rate (%/day)
LH2 (liquid)120–1428.5–10.12000–4000Electrolysis, SMR, Biomass20.31–5 (cryogenic)0.1–0.5
GH2 (700 bar)120–1425.62000–4000Same as LH2Ambient700N/A (no boil-off)
CH4 (LNG)50–5521–23800–1200 (ramjet only)Natural gas, biogas, e-methane111.71–10 (cryogenic)0.05–0.2
NH3 (liquid)18.611.5200–800Haber-Bosch with H2239.88–10Negligible
Jet-A43–4434–36Not feasible (coking)Crude oil refiningN/AAmbientN/A

Extended Fuel Comparison for Hypersonic Propulsion: Aerospace and Energy Metrics. Values are author estimates synthesized from NIST thermophysical property data, Boretti (2023), Boretti (2024), Urzay (2018), Fry (2004), and IEA (2022). Production pathway costs and liquefaction energy ranges reflect current literature projections (IRENA, 2020; IEA, 2022) and author extrapolation.

While ammonia presents significant combustion challenges in scramjets due to low flame speed and high ignition temperature, active research is ongoing (Yilmaz et al., 2025a; Yilmaz et al., 2025b). Scramjet uses are under active research; significant challenges remain: low flame speed, high ignition temperature, NOx.

The critical insight from Table 1 is the trade-off between gravimetric and volumetric energy density. Hydrogen’s superior gravimetric density (120–142 MJ/kg vs. 43–44 MJ/kg for Jet-A) explains its Isp advantage (Boretti, 2023; Fry, 2004; Curran, 2001), but its poor volumetric density (8.5–10.1 MJ/L for LH2 vs. 34–36 MJ/L for Jet-A) drives massive tankage volume—approximately 4× larger for equivalent energy content. For energy infrastructure planning, this implies: (a) airports require 4× greater cryogenic storage volume per unit of energy delivered, (b) transport logistics (pipelines, tankers) must move larger volumes for the same energy throughput, and (c) liquefaction energy (10–15 kWh/kg LH2) represents a 30%–40% energy penalty that must be accounted in well-to-wake efficiency calculations (IEA, 2022).

The specific impulse equations introduced in the original manuscript can be reinterpreted in energy systems terms. The required hydrogen fuel mass for a mission of range R is:where mdry is the dry mass (aircraft structure + payload). This equation reveals the direct coupling between fuel efficiency (Isp, L/D) and hydrogen mass demand (Van Wie et al., 2005; Bertin and Cummings, 2003). For a transpacific mission (R = 10,000 km) with L/D = 6 and Isp = 3000 s, mH2/mdry ≈ 0.55—meaning hydrogen fuel mass is approximately 55% of the dry structural mass. The low volumetric density then dictates tank volume Vtank = mH2/ρH2, where ρH2 (liquid) ≈ 71 kg/m3. For a 100-tonne dry mass aircraft, mH2 ≈ 55 tons requiring Vtank ≈ 775 m3—approximately the volume of two Boeing 747 fuselages. This volumetric penalty cascades into increased drag, structural mass, and infrastructure requirements, quantified in subsequent sections.

3.3 TBCC propulsion: energy efficiency and mode transition

Primary vehicle architectures being explored include rocket-powered boost-glide vehicles, such as the SpaceLiner (Sippel, 2009), airbreathing hypersonic cruisers, and smaller hypersonic concepts (D’Oriano et al., 2018), as well as hybrid propulsion types (Maynard et al., 2025). The comparative assessment of TBCC versus alternative architectures (rocket-based, turboramjet, pure scramjet) has been expanded. Rocket-based systems require 4–5× more fuel mass for the same mission due to the absence of air-breathing efficiency; turboramjets are limited to Mach 4–5 and cannot sustain hypersonic cruise; pure scramjets cannot provide takeoff thrust. TBCC thus offers the best compromise for commercial P2P due to its ability to operate from takeoff to Mach 8+ while maintaining air-breathing efficiency. From an energy systems perspective, the choice of propulsion architecture determines not only vehicle performance but also the hydrogen consumption rate (kg/km), the required fueling infrastructure capacity (tons/day per airport), and the well-to-wake energy efficiency (Boretti, 2024).

The most realistic for sustained civil P2P flight is turbine-based combined cycle propulsion (TBCC, Boretti, 2024), which integrates multiple engine types—turbojets, ramjets, and scramjets—into a single system to operate from takeoff to hypersonic speeds. The energy significance of TBCC is that it enables air-breathing operation across the entire flight envelope, avoiding the extreme hydrogen consumption of rocket-based alternatives (which would require 4–5× more fuel mass for the same mission). A recent comprehensive review highlights TBCC as the most promising power system for near-space hypersonic aircraft due to its wide flight envelope, reusability, and high thrust, while also detailing global research programs and critical technological hurdles such as inlet design, exhaust system integration, and mode transition control (Lin et al., 2024). Detailed aerodynamic studies on airframe-engine integration for supersonic and hypersonic vehicles have further emphasized the importance of mixed-compression intakes and overall integration challenges (Gaglio et al., 2021; Gaglio et al., 2023).

The critical energy challenge for TBCC is the “mode transition” from turbine-based to ramjet/scramjet operation, typically between Mach 3 and Mach 5. During this phase, the engine operates at low efficiency (Isp drops to 800–1200 s) because neither mode is optimal. This “Isp valley” increases total mission hydrogen consumption by 15%–25% compared to a hypothetical ideal engine, directly impacting the hydrogen supply chain: more fuel mass means larger cryogenic storage at airports, higher liquefaction energy, and increased transport costs (Fusaro et al., 2019; Fusaro et al., 2020).

From a hydrogen energy infrastructure standpoint, the TBCC imposes specific fuel quality requirements. The ramjet/scramjet combustor requires hydrogen at precise temperature (100–300 K after regenerative heating) and pressure (20–50 bar) to achieve stable supersonic combustion without unstart. This couples the aircraft’s thermal management system with the ground-based hydrogen supply: the delivered hydrogen at the airport hydrant must meet purity (>99.97% H2), pressure, and temperature specifications, or the aircraft must expend additional energy on onboard conditioning (pumps, heat exchangers).

Figure 2 is a concept of a hypersonic aircraft shaped with sharply swept wings, a streamlined fuselage, and canards, and combined cycle air breathing propulsion. The conceptual illustration is intended to convey the general arrangement of a hypersonic transport—including sharply swept wings, streamlined fuselage, and combined-cycle propulsion—but is not a validated aerodynamic design. Achieving the required pressure recovery at Mach numbers above 3, nozzle expansion ratio at high altitude, and integrated forebody compression for mode transition would require substantially more refined inlet and exhaust geometries than shown. The center aft area on the lower side is intended to suggest a SERN-type nozzle for ramjet/scramjet operation, but its specific geometry and integration with the airframe remain subjects of ongoing research (Gaglio et al., 2023; Gaglio et al., 2021). Advances are required in two key areas of this field. First, successful ground demonstrations of “mode transition,” the critical handover from a turbine-based cycle to a dual-mode ramjet/scramjet, sustaining combustion without unstart across a representative Mach 3–5 flight envelope. This remains a paramount challenge, with recent analyses emphasizing the need to integrate strongly coupled flight control with mode transition control technology for TBCC systems (Lin et al., 2024). Second, from an energy perspective, progress in additive manufacturing for high-temperature, actively cooled components is essential to reduce the cooling hydrogen penalty and improve overall thermodynamic efficiency. Figure 3 presents a functional system architecture of the hypersonic point-to-point transport concept.

FIGURE 2

FIGURE 3

For the energy systems community, the key takeaway from TBCC development is that propulsion efficiency gains directly translate into reduced hydrogen demand, lowering the required scale (and thus capital cost) of electrolysis, liquefaction, and airport storage infrastructure. Using the reference vehicle defined in Table 2 (100 pax, 55 tons LH2 per mission, 300 missions/year, 1.65 million tons/year fleet consumption), a 10% improvement in mission-averaged Isp from the baseline of 2,800 s to 3,080 s reduces fuel consumption per mission to 55 tons and annual fleet consumption to 1.5 million tons, a reduction of 150,000 tons/year (slightly lower than the 180,000 tons estimated earlier due to the cooling penalty included in the baseline). At €3–5/kg, this saves €0.45–0.75 billion/year. However, achieving such an improvement beyond a cutting-edge baseline TBCC design is unlikely in early-generation aircraft; a 10% Isp gain would require either significantly higher turbine inlet temperatures, reduced mode-transition losses, or advanced cycle innovations (e.g., variable geometry with active cooling) that are likely a decade or more beyond first flight. The calculation is thus intended as a sensitivity analysis and upper-bound estimate of potential savings, not a near-term expectation. Baseline performance characteristics are detailed in Table 3, and input parameter ranges for sensitivity analysis are provided in Supplementary Appendix Table A1.

TABLE 2

ParameterSymbolValueNotes
Passenger countnpax100Business-class seating, 2.5 m2/pax
Design rangeR10,000 kmTranspacific (e.g., LAX-SYD)
Cruise Mach numberM8Representative for TBCC cruise
Cruise altitudeh35 kmTypical for air-breathing hypersonic
Takeoff gross massMTOGW200 tonsScaled from Maynard et al. (2025)
Dry structural massMdry80 tonsAirframe + systems (no fuel, no payload)
Payload massMpayload12 tons100 pax × 100 kg + 2,000 kg baggage
Hydrogen fuel massMH260 tonsIncludes propulsion + cooling
Tankage massMtank15 tonsCryogenic tanks (25% of fuel mass)
Thermal protection massMTPS18 tonsRefractory materials
Propulsion system massMprop15 tonsTBCC including inlets, nozzles
Operational empty massMOEW128 tonsMdry + Mtank + MTPS + Mprop
Fuel mass fractionMH2/MTOGW0.3030% of takeoff mass is LH2
LH2 volume requiredVtank847 m3At ρH2 = 70.8 kg/m3
Mission fuel consumptionmfuel mission55 tons92% of loaded fuel (5% reserves, 3% boil-off)
Specific impulse (mission avg.)Ispavg2,800 sWeighted average across flight phases
Mission L/D (cruise)(L/D)cruise5.0Trimmed value for reference concept

Reference 100-Passenger Hypersonic Transport: Mass Balance and Mission Profile. This is a notional concept intended for scoping analysis, not a finalized design. Mass fractions are scaled from Maynard et al. (2025) and Fusaro et al. (2020) using first-order aerospace sizing methods. The 60-ton fuel mass includes propulsion and cooling requirements based on the mission profile defined in Table 3.

TABLE 3

Flight phaseMach rangeThrust (kN)Isp (s)Duration (min)Fuel consumption (tons)Notes
Takeoff and climb0–0.8200–3002,50052.5Turbojet core, afterburning
Transonic acceleration0.8–1.2180–2202,20031.8Drag rise, low efficiency
Supersonic climb1.2–2.8150–2002,80084.0Turbojet, efficient at high Mach
Mode transition 12.8–3.2120–1601,60022.0Isp valley, both modes active
Ramjet acceleration3.2–5.0100–1502,000105.5Ramjet, increasing efficiency
Mode transition 25.0–5.580–1201,80022.2Isp valley, ramjet-scramjet handover
Hypersonic climb5.5–8.060–1002,80063.5Scramjet, rising Isp
Hypersonic cruise8.050–803,2002020.0Most efficient phase
Deceleration and descent8.0–0.80 (idle)–152.5Aerobraking, idle thrust
Landing0.8–050–1002,00031.0Turbojet, low power
Total Mission0–8.0–2,800 (avg)74 min45.0Excludes cooling penalty
Cooling penalty––––+10.0Thermal management
Total LH2 consumed––––55.0Propulsion + cooling

TBCC Performance by Flight Phase (Reference Concept). Isp values represent research targets reported in Boretti (2024), Lin et al. (2024), and Urzay (2018), adjusted by the author for the reference mission profile. No integrated TBCC flight test data exists at these conditions; these are synthesized from component-level ground tests and analytical models.

3.3.1 Mass balance and mission profile for reference concept

To provide a quantitative basis for the hydrogen consumption and infrastructure estimates presented throughout this paper, Table 2 defines a reference 100-passenger hypersonic transport concept. This reference vehicle is used for all subsequent calculations of fuel consumption, infrastructure scale, and economic metrics. It is emphasized that this is a notional concept intended for scoping analysis, not a finalized design.

For a fleet of 100 such aircraft, each operating one transpacific mission per day (300 flights/year per aircraft), annual LH2 consumption = 100 × 55 tons × 300 = 1.65 million tons/year. This provides the basis for the electrolyzer and liquefaction capacity estimates. The infrastructure investment figures (€10–20B for electrolysis, €0.9–1.8B for liquefaction, €0.3–3.5B for airports) are derived directly from this reference fleet consumption.

3.3.2 TBCC baseline architecture and mission performance

The reference TBCC architecture consists of three integrated flow paths sharing a common inlet and nozzle (Lin et al., 2024): (1) a turbojet core for operation from takeoff to Mach 2.5–3.0, (2) a ramjet for operation from Mach 2.5–5.0, and (3) a scramjet for operation from Mach 5.0–8.0+. The transition from turbojet to ramjet occurs at approximately Mach 2.8, and from ramjet to scramjet at approximately Mach 5.0.

The propulsion system mass is estimated at 15 tons (7.5% of TOGW), consistent with scaling from Fusaro et al. (2020) and Maynard et al. (2025) for TBCC-class vehicles. This mass includes inlets, compressors, combustors, turbines, nozzles, and variable geometry actuation systems. The specific impulse values in Table 3 reflect current research targets (Boretti, 2024; Urzay, 2018), with the Isp valley during mode transitions representing a major performance penalty that increases mission fuel consumption by 15%–25% compared to an ideal engine.

3.4 TEMS: hydrogen as an integrated heat sink

From an energy systems perspective, the integrated TEMS is not merely a subsystem—it is the critical interface between the aircraft’s propulsion demand and the hydrogen fuel supply (Fusaro et al., 2019). The unique thermodynamic properties of hydrogen (lowest boiling point of any element, 20.3 K; specific heat capacity of 14.3 kJ/kg·K in liquid phase; heat of vaporization of 446 kJ/kg; and heat capacity of ∼14.8 kJ/kg·K as gas up to 1000 K) make it a uniquely capable heat sink for hypersonic thermal management. While water has a higher heat of vaporization (2,257 kJ/kg), hydrogen’s advantage lies in its cryogenic temperature (20.3 K vs. 373 K for water), providing a large sensible heat absorption capacity over a wide temperature range, its favorable transport properties (low viscosity, high thermal conductivity), and the fact that it can be burned after serving as a coolant—unlike water, which adds mass without contributing to propulsion. This combination of sensible cooling, latent cooling, and fuel utility makes hydrogen unmatched for regenerative cooling in hypersonic air-breathing engines. However, using hydrogen as a coolant creates a direct thermodynamic trade-off: hydrogen that absorbs heat for thermal protection is unavailable for propulsion unless the absorbed heat is recovered as useful work.

Managing extreme aerothermodynamic heating is paramount. The peak heat flux is governed by:

(Anderson, 2009; Bertin and Cummings, 2006). This necessitates revolutionary thermal protection systems (TPS). The development of next-generation TPS is a central pillar of modern hypersonic materials design, requiring new refractory materials and composites for leading edges and vehicle skins (Peters et al., 2024). From an energy lifecycle perspective, the embodied energy of these advanced materials (refractory alloys, ceramic matrix composites) can be 10–50× higher than conventional aerospace aluminum, a factor rarely included in well-to-wake emissions calculations but relevant for full lifecycle assessment (Kossarev, Scholz, and Hornung, 2022).

A critical strategy involves using the cryogenic liquid hydrogen (LH2) fuel as a heat sink in an integrated TEMS (Fusaro et al., 2019). The required hydrogen flow rate for cooling can be estimated from:where Q is the total heat load, cp is the specific heat, ΔT is the temperature rise, and hfg is the latent heat of vaporization (Fusaro et al., 2019). For a representative hypersonic cruise at Mach 8 (altitude 35 km), the stagnation-point gas temperature is approximately 4,000–4,500 °C (computed from isentropic relations for a freestream temperature of ∼235 K). The wall temperature in radiation equilibrium is substantially lower, typically 2,000–2,500 °C depending on surface emissivity and catalyticity (Bertin and Cummings, 2006). The total heat load Q to be managed by the thermal protection system is approximately 50–100 MW depending on vehicle size and the effectiveness of boundary-layer cooling. This distinction is critical: the gas temperature dictates the heat flux driving the cooling requirement, while the wall temperature governs material selection and TPS design (Peters et al., 2024). For a representative hypersonic cruise, the required cooling hydrogen flow rate is ṁcooling = 0.5–2.0 kg/s. For a 90-min mission, the cooling-only hydrogen requirement is 2,700–10,800 kg. When added to propulsion hydrogen, total mission demand increases by 10%–30%. This “cooling penalty” must be included in any hydrogen infrastructure sizing exercise; ignoring it would under-design liquefaction capacity by 10%–30%.

The areas requiring active H2 cooling include: (1) leading edges (wing, inlet cowl, nose) where peak heat fluxes occur; (2) the combustor walls and nozzle throat of the scramjet/ramjet, where combustion temperatures exceed 2,500 °C; (3) the turbine blades and vanes of the turbojet core; and (4) high-temperature ducting and struts in the inlet and nozzle. The cooling H2 is passed through these hot sections via microchannel heat exchangers or regenerative cooling channels embedded in the structure (Fusaro et al., 2019; Wang et al., 2025).

The H2 used for cooling cannot always be burned in the combustor due to several constraints. First, the cooling circuit may be at a lower pressure than the combustor at certain flight points, preventing injection. Second, if the cooling H2 has been heated to a temperature that is thermodynamically mismatched with the combustor inlet conditions (e.g., too hot for the turbojet compressor or too cold for scramjet ignition), direct injection may disrupt combustion stability or reduce overall efficiency. Third, during certain trajectory phases (e.g., the Isp valley during mode transition, or low-power descent), the combustor may not accept additional fuel without exceeding structural temperature limits or causing unstart. This creates a potential mismatch: the vehicle may require more cooling during transonic or mode-transition phases than the engine can usefully burn, resulting in overboard venting or flare combustion—a loss of fuel that increases H2 demand.

The alternative of using water as a dedicated coolant is worth considering. Water’s higher heat of vaporization (2,257 kJ/kg vs. 446 kJ/kg for H2) means that significantly less water mass is required for latent cooling for a given heat load. However, water cooling introduces several disadvantages: (1) water adds mass that is not a fuel, increasing vehicle weight and reducing payload; (2) water must be stored in separate tanks, increasing volume; (3) water has higher freezing point and lower thermal stability at very high temperatures; (4) water cannot be regeneratively burned, so any water used for cooling represents a pure mass penalty with no propulsion benefit; and (5) water systems add plumbing complexity and the risk of phase-change-induced pressure surges. Thus, while water is thermodynamically efficient as a coolant, the overall system-level trade—considering mass, volume, and mission fuel efficiency—typically favors H2 regenerative cooling for hypersonic air-breathing vehicles (Fusaro et al., 2019; Van Wie et al., 2005).

The design must carefully trade the hydrogen used for cooling against that reserved for propulsion, directly impacting mission-averaged specific impulse. This trade-off makes reliability analysis under combined thermal and mechanical loads critical for designing fail-safe structures and certifying vehicle airworthiness (Yu et al., 2025). Material science innovations are also yielding radical new approaches. Recent experimental research has demonstrated the potential of advanced material structures, such as blunt-sharp structured thermal armor (STA) designed to inhibit the Leidenfrost effect, to enable highly efficient direct liquid cooling. This approach has withstood simulated heating exceeding 3000 °C, offering a promising alternative or complement to traditional regenerative cooling schemes for managing localized extreme heat fluxes (Wang et al., 2025).

A novel energy systems concept emerging from recent research is the hydrogen regenerative cycle, where absorbed heat is used to drive turbopumps or expanders, recovering some of the cooling penalty as useful work. The thermodynamic efficiency of this cycle is:where h and s are specific enthalpy and entropy. Preliminary studies suggest regenerative efficiencies of 15%–25% are achievable, reducing the net cooling penalty to 8%–25% of baseline (Fusaro et al., 2019). For the hydrogen supply chain, regenerative cooling reduces the fuel mass penalty, lowering required LH2 throughput at airports by 5%–15% for a given mission.

For energy infrastructure planning, the TEMS creates a coupling between aerodynamic heating (a function of vehicle design and flight trajectory) and hydrogen consumption that must be modeled dynamically. Airports serving hypersonic fleets cannot simply size hydrogen storage based on propulsion demand alone; they must include the cooling penalty, which varies with ambient temperature, flight duration, and vehicle configuration. Peak cooling demand (e.g., during maximum dynamic pressure ascent) determines instantaneous hydrogen flow rate requirements at the dispensing point, which may exceed propulsion flow rates by 30%–50%.

3.5 Adaptive aerodynamics: energy efficiency through morphing surfaces

Assuming the TBCC propulsion challenge is addressed, the next challenge is the use of adaptive morphing surfaces for hypersonic P2P aircraft (Dai et al., 2020; Zhao et al., 2020). From an energy systems perspective, adaptive aerodynamics is a mechanism to improve the vehicle’s lift-to-drag ratio (L/D) across the flight envelope, directly reducing hydrogen fuel consumption per passenger-kilometer. Since hydrogen cost dominates DOC (70%–90%), any improvement in L/D translates almost dollar-for-dollar into reduced operating cost and lower infrastructure demand.

These aircraft must fly efficiently across completely different flight stages—from subsonic takeoff and landing, through transonic acceleration, up to sustained hypersonic cruise above Mach 5. Each phase needs a different aircraft shape for optimal performance. A fixed design forces engineers to choose a middle-ground shape that is not ideal for any single phase. Adaptive morphing surfaces solve this by allowing the aircraft to change shape during flight, optimizing for each regime (Bao et al., 2021; Chen et al., 2023).

The aerodynamic efficiency is fundamentally governed by the lift-to-drag ratio (L/D):

At subsonic speeds, high lift coefficient (CL) is required, favoring thick wings with low sweep. At hypersonic speeds, minimizing the drag coefficient (CD) is critical, which demands sharp leading edges and highly swept delta wings. A morphing vehicle achieving L/D = 6 at cruise (vs. L/D = 4 for a fixed compromise design) could reduce hydrogen fuel mass for a given mission, assuming constant Isp and structural mass. However, several important caveats apply. First, L/D = 4 at hypersonic cruise (Mach 6–10) is already near the practical limit for trimmed, volume-constrained hypersonic vehicles without active flow control or advanced waverider shaping (Bertin and Cummings, 2006; Van Wie et al., 2005). Achieving L/D = 6 would require a highly optimized waverider configuration with forebody compression and aft body expansion carefully integrated—a design approach that may not be compatible with the volumetric packaging required for hydrogen tankage and passenger accommodation. The conceptual illustration in Figure 2 is unlikely to achieve L/D > 3.5 based on its conventional delta-wing layout. Second, any increase in L/D through morphing surfaces comes at the cost of additional structural mass (actuators, hinges, smart materials) and may degrade aerodynamic efficiency during non-cruise phases. Third, L/D improvement is not neutral to Isp: the morphing mechanisms may require hydraulic or electrical power that could reduce net propulsive efficiency, and the changes in vehicle shape affect inlet performance and nozzle expansion ratio. A more realistic estimate of the fuel reduction from L/D improvement is therefore 10%–15%, not the theoretical 33%, once these second-order effects are included. The sensitivity analysis in Supplementary Appendix Table A1 brackets L/D from three to seven to reflect this uncertainty.

The engine air intake and exhaust must change shape dramatically. At low speeds, the inlet opens wide to feed enough air to the turbojet. As speed increases into the ramjet and scramjet range, the inlet must narrow and adjust internal ramps to manage shockwaves and compress air efficiently without causing the engine to unstart. This uses translating ramps and moveable panels (Gaglio et al., 2023; Gaglio et al., 2021). The exhaust nozzle must change from a smaller opening for turbojet thrust to a large, expanded shape for efficient scramjet operation at high altitude. This is done with adjustable flaps and extensible sections.

The wing itself must transform. For low speed, wings need high lift, so they benefit from a longer span and large flaps. For hypersonic cruise, wings need low drag, so they should be short, highly swept, or delta-shaped. Technologies to achieve this include telescoping or folding wing sections to change the wingspan, mechanisms that change the wing sweep angle in flight, and actuators inside the wing that twist or change its curvature for optimal performance (Dai et al., 2020; Zhao et al., 2020).

The hypersonic environment is too hot and stressful for normal aircraft materials and motors. Key challenges are extreme heat, high forces, and the need to be very light. This necessitates a fundamental advancement in materials science, focusing on the design of resilient refractory alloys, composites, and ceramics capable of withstanding extreme aerothermal loads (Peters et al., 2024). From an energy lifecycle perspective, the high embodied energy of these advanced materials (e.g., carbon-carbon composites require 200–500 MJ/kg to produce vs. 150 MJ/kg for aluminum) increases the vehicle’s manufacturing carbon footprint. However, this “upfront” emission is amortized over the vehicle’s 15–20-year life and remains small (<5%) compared to operational emissions for hydrogen produced from fossil sources (Kossarev, Scholz, and Hornung, 2022).

A critical, interconnected discipline governing this interaction is aerothermoelasticity, which studies the fluid-thermal-structural coupling where aerodynamic heating, structural deformation, and aerodynamic forces continuously influence each other. Managing this coupling is vital to prevent dangerous flutter, control reversal, or structural failure in morphing hypersonic vehicles (Wan et al., 2025). Integrated design is essential. Morphing parts must be built as “smart structures” from the start, combining structure, thermal protection, movement, and sensors into one lightweight unit (Shao et al., 2026; Yang et al., 2026; Zhang B et al., 2025, Zhang H et al., 2025, Zhang C et al., 2025; Zhang and Fu, 2026).

For hypersonic P2P transport, TBCC and morphing surfaces provide major benefits:

  • Greater Range or Payload: By reducing drag at high speed and increasing lift at low speed, morphing improves overall efficiency, allowing the aircraft to fly farther or carry more. For the hydrogen supply chain, this means fewer flights (or smaller fuel loads) for a given passenger-kilometer target, reducing total LH2 demand and infrastructure scale.

  • Operational Flexibility: It enables an aircraft to take off and land from normal runways while still being efficient at hypersonic speeds. This is a must for practical commercial use. For airport planners, this means hypersonic operations can be integrated into existing airfields without major runway modifications (though cryogenic fueling infrastructure is still required).

  • Improved Stability and Control: Adjustable surfaces provide pilots and flight computers with additional control authority to manage the aircraft’s dynamic instability during transition to hypersonic speeds (Bu et al., 2024; Lu et al., 2024; Guo et al., 2026; Liu et al., 2026). For energy systems, stable control prevents inefficient flight trajectories (e.g., excessive angle of attack) that would increase hydrogen consumption by 10%–20%.

  • Better Heat Management: Active shape change can be part of the cooling strategy, possibly reducing the weight of heat shield tiles. This couples directly with the TEMS analysis: morphing surfaces that reduce peak heat flux lower the cooling penalty, reducing total LH2 demand by 5%–15%.

Table 4 summarizes morphing technologies for hypersonic P2P aircraft.

TABLE 4

ComponentLow-speed configurationHypersonic configurationEnabling technologyEnergy impact
WingHigh span, low sweep, flaps extendedShort span, high sweep, delta shapeTelescoping/folding sections, variable sweep mechanismsSharp leading edges reduce wave drag but increase localized heat flux, potentially increasing cooling demand. The 15%–25% reduction refers to the drag benefit of sharp leading edges, which reduces total fuel consumption; however, the cooling demand at the sharp leading edge itself is higher due to thinner thermal boundary layers. This trade-off—drag reduction versus increased cooling burden—is a fundamental hypersonic design conflict (Bertin and Cummings, 2006; Peters et al., 2024). The net effect on fuel consumption depends on the relative magnitude of drag reduction (beneficial) and cooling penalty (detrimental), which is vehicle-specific
InletWide opening for high airflowNarrow, multi-ramp shock managementTranslating ramps, moveable panelsPrevents unstart → avoids 10%–20% fuel penalty
NozzleSmall opening for turbojet thrustLarge, expanded for scramjetAdjustable flaps, extensible sectionsImproves Isp by 5%–10% at cruise
Leading edgeBlunt for liftSharp for low dragShape Memory Alloys (SMAs), Ceramic Matrix Composites (CMCs)Sharp leading edges reduce wave drag but increase localized heat flux, potentially increasing cooling demand. The 15%–25% reduction refers to the drag benefit of sharp leading edges, which reduces total fuel consumption; however, the cooling demand at the sharp leading edge itself is higher due to thinner thermal boundary layers. This trade-off—drag reduction versus increased cooling burden—is a fundamental hypersonic design conflict (Bertin and Cummings, 2006; Peters et al., 2024). The net effect on fuel consumption depends on the relative magnitude of drag reduction (beneficial) and cooling penalty (detrimental), which is vehicle-specific

Morphing Technologies for Hypersonic P2P Aircraft: Energy Implications. Energy impact percentages are the author’s qualitative assessments based on drag polar analyses from Dai et al. (2020), Zhao et al. (2020), and Bertin and Cummings (2006). These are order-of-magnitude estimates for scoping purposes, not empirically validated.

Recent advances in control algorithms demonstrate the potential for morphing-aerodynamic collaborative control to enhance hypersonic vehicle performance (Wang et al., 2026). Concurrently, trajectory optimization techniques have also been developed for morphing vehicles, with research focusing on bilevel alternating direction iteration methods to solve the complex optimization problem (Xu et al., 2025). Addressing system uncertainties is critical, with research focusing on robust adaptive dynamic programming for vehicles under unmatched disturbances (Guo et al., 2026). Furthermore, fault-tolerant control methods combining knowledge and data-driven approaches are essential for reliability (Liu et al., 2026). Extending this to fleet-level operations, a distributed integrated design approach for hypersonic flight vehicle swarms has also been proposed to optimize both performance and safety simultaneously (Yao et al., 2025).

For the energy systems community, the key takeaway from adaptive aerodynamics is that morphing surfaces are not merely an aerodynamic refinement but a core energy efficiency technology. The 33% fuel reduction achievable through L/D optimization from L/D = 4 to L/D = 6 translates directly into a 33% reduction in required hydrogen production capacity, liquefaction energy, storage volume, and transport logistics. This makes morphing surfaces one of the highest-leverage investments for reducing the infrastructure burden of hypersonic P2P travel.

Monte Carlo analysis of green hydrogen costs yields a 10th–90th percentile range of €2.8–5.2/kg for 2030 and €1.8–3.4/kg for 2040, with median values of €4.0/kg and €2.5/kg respectively. The probability of achieving €3/kg or lower by 2035 is estimated at 35%, rising to 80% by 2045, based on electrolyzer learning rates of 12%–15% and renewable electricity cost declines of 5%–8% per year.

3.6 Green hydrogen infrastructure: the binding constraint

The most binding constraint on commercial hypersonic P2P travel may lie on the ground. This section presents an integrated analysis of hydrogen infrastructure requirements specific to hypersonic aviation, including production, liquefaction, storage, transport, and airport dispensing. Kountouris et al. (2024) present a unified European hydrogen infrastructure planning framework to support rapid scale-up of hydrogen production. Hugo et al. (2005) describe hydrogen infrastructure strategic planning using multi-objective optimization. Gan et al. (2021) address multi-network coordinated hydrogen supply infrastructure planning for integration of hydrogen vehicles and renewable energy. Efthymiadou et al. (2025) present an optimization approach for hydrogen infrastructure planning under uncertainty.

3.6.1 Production pathways and scale

Table 5 presents a comparative assessment of hydrogen production pathways relevant to hypersonic aviation, including cost, carbon intensity, and technology readiness level (TRL).

TABLE 5

PathwayFeedstockProcessCost (€/kg H2)Carbon intensity (g CO2e/kg H2)TRLLand use (m2/(kg/day))Water use (L/kg H2)
Green (PEM electrolysis)Water, renewable electricityElectrolysis4–80–500 (grid-dependent)8–90.5–1.09–10
Green (Alkaline electrolysis)Water, renewable electricityElectrolysis3–60–500 (grid-dependent)90.3–0.79–10
Green (SOEC)Water, renewable electricity + heatHigh-temp electrolysis2.5–50–500 (grid-dependent)6–70.4–0.88–9
Blue (SMR with CCS)Natural gasSteam methane reforming + carbon capture2–350–15080.1–0.31.5–2 (cooling)
Blue (ATR with CCS)Natural gasAutothermal reforming + carbon capture2.2–3.530–1007–80.1–0.31.5–2 (cooling)
Pink (nuclear)Water, nuclear electricityElectrolysis4–710–3070.4–0.89–10
Biomass gasificationAgricultural residue, forestry wasteGasification + reforming3–6−200 to +100 (can be negative)6–72–50.5–1

Hydrogen Production Pathways: Cost, Carbon Intensity, and TRL (2025 baseline). Cost and carbon intensity values are synthesized from IRENA (2020), IEA (2022), Lazard (2025), and Kossarev, Scholz, and Hornung (2022). TRL assessments are the author’s synthesis based on technology roadmaps and should be interpreted as approximate. Grid-dependent carbon intensity ranges reflect regional variations (50–500 g CO2e/kWh).

Cost estimates are from IRENA (2020) for green hydrogen; IEA (2022) for blue hydrogen; Lazard (2025) for updated cost ranges. Carbon intensity values are from Kossarev, Scholz, and Hornung (2022) and IPCC (2023). TRL assessments are from author’s synthesis based on technology roadmaps (IEA, 2022; IRENA, 2020). Land and water use are from IRENA (2020) and BNEF (2023).

The critical observation from Table 5 is the gap between green hydrogen’s cost (€4–8/kg near-term) and blue hydrogen (€2–3/kg). For hypersonic P2P transport to achieve climate benefits, green hydrogen is essential, but its current cost premium of 2–3× over blue hydrogen would make DOCs prohibitively high. The projected green hydrogen cost trajectory is €2–3/kg by 2035–2040 and €1–2/kg by 2050, driven by declining electrolyzer capital costs (from €800–1200/kW to €200–400/kW) and falling renewable electricity prices (€20–40/MWh) (IRENA, 2020; Lazard, 2025). However, these projections assume aggressive deployment—100+ GW of electrolysis capacity by 2030 globally, compared to ∼1 GW today (IEA, 2022).

3.6.2 Liquefaction: the energy bottleneck

Hydrogen liquefaction is energy-intensive. Current large-scale (30+ tons/day) plants consume 10–15 kWh/kg LH2, representing 30%–40% of LH2’s lower heating value (LHV = 33.3 kWh/kg or 120 MJ/kg). The theoretical minimum work for hydrogen liquefaction (from 300 K to 20.3 K at 1 bar) is 3.9 kWh/kg, indicating current processes operate at 26%–39% thermodynamic efficiency. Advanced liquefaction processes (e.g., using mixed refrigerants, magnetic refrigeration, or ortho-para conversion optimization) could reduce energy consumption to 6–8 kWh/kg (45%–50% efficiency) by 2030–2035 (IEA, 2022).

For a fleet of 100 hypersonic aircraft each consuming 55 tons of LH2 per mission (representative for a transpacific route with 100 passengers), with one mission per day per aircraft, total daily consumption is 5,000 tons. Annual consumption is 1.65 million tons. Liquefaction energy at 12 kWh/kg = 21.9 TWh/year—equivalent to the annual electricity consumption of approximately two million European households. Liquefaction plant capital cost at €500–1000/(ton/year) capacity would be €0.9–1.8 billion for the base plant. If green hydrogen is produced on-site via electrolysis, additional electrolyzer capacity of 15–20 GW (at 50%–60% capacity factor) would be required, with capital cost of €10–20 billion at current prices (€800–1000/kW) (IRENA, 2020).

Comparing the infrastructure estimates above with aircraft development cost: a 100-aircraft fleet at €100–200 million per aircraft implies a total aircraft acquisition cost of €10–20 billion. Development cost for a clean-sheet hypersonic airframe and TBCC propulsion is estimated at €10–30 billion (Maynard et al., 2025; Fusaro et al., 2020). For green hydrogen infrastructure serving the same fleet: electrolyzer CAPEX (€10–20 billion), liquefaction plant (€0.9–1.8 billion), transport infrastructure (€0.5–2 billion), and airport storage/dispensing (€0.3–3.5 billion) total €12–27 billion. This is comparable to, and in some scenarios exceeding, the aircraft development and acquisition cost. The ratio of infrastructure to aircraft cost ranges from approximately 0.6× (lower bound) to 2.7× (upper bound), with the central estimate being 1.5–2.0×. This inversion of traditional aerospace economics—where infrastructure is no longer a minor support cost but a dominant system cost comparable to or exceeding the vehicle itself—is a key insight for policymakers and investors. For context, current subsonic aviation infrastructure (fuel depots, airports) accounts for less than 5% of total system cost; hypersonic hydrogen P2P reverses this relationship.

3.6.3 Transport and storage logistics

Table 6 compares transport modes for delivering hydrogen from production sites to airports.

TABLE 6

Transport modeCapacityCapital costEnergy consumption (kWh/kg per 1000 km)Boil-off/Leakage (%)Cost addition (€/kg per 1000 km)Best suited for
Pipeline (gaseous)5–50 tons/day per pipeline€0.5–2 million/km0.5–1.0 (compression)0.1–0.5 (leakage)0.2–0.5High-volume, short-medium distance (<500 km)
Liquid tanker (truck)1–4 tons per truck€300,000–500,000 per truck2–4 (re-liquefaction or vapor loss)0.3–1.0 (boil-off)0.8–1.5Medium volume, flexible routes (<300 km)
Liquid tanker (ship)1,000–10,000 tons per ship€50–200 million per ship0.5–1.0 (insulated tanks)0.1–0.3 (boil-off per week)0.1–0.3Very high volume, intercontinental
Tube trailer (gaseous, 700 bar)0.5–1 ton per trailer€200,000–400,000 per trailer4–8 (compression)Negligible2–4Low volume, short distance
Liquid hydrogen pipeline (cryogenic)50–500 tons/day€3–5 million/km1–20.2–0.50.3–0.8Very high volume, medium distance (<200 km)

Hydrogen Transport Economics by Mode (delivered cost addition, €/kg per 1000 km). Cost addition estimates are author calculations based on IEA (2022), BNEF (2023), and Lloyd’s Register (2025) project data. Pipeline and shipping costs are highly project-specific; values represent order-of-magnitude estimates for strategic planning.

Cost addition estimates are author’s synthesis from IEA (2022), BNEF (2023), and project-specific data (e.g., H2FC, European Hydrogen Backbone). Pipeline costs are from IEA (2022); truck costs are from BNEF (2023); ship costs are from Lloyd’s Register (2025).

For a global hypersonic network connecting major hubs (New York-London, Los Angeles-Tokyo, Dubai-Sydney, etc.), the required delivered hydrogen cost at airports is €3–5/kg (green) or €2–3/kg (blue). Achieving these delivered costs requires: (a) production at or very near major airports to minimize transport distance, (b) very high utilization (>5000 h/year) of liquefaction and electrolysis assets, and (c) grid electricity prices below €40/MWh for green hydrogen. Most major airports (Heathrow, JFK, Narita, Dubai International) lack adjacent land for GW-scale electrolysis and would require pipeline or tanker delivery from industrial zones 50–200 km away, adding €0.5–1.5/kg in transport cost.

3.6.4 Airport infrastructure requirements

Retrofitting existing airports for LH2 refueling presents substantial CAPEX and spatial challenges, Table 7.

TABLE 7

ComponentCapacity requiredUnit costTotal cost (million €)Notes
Cryogenic storage tanks1,000–5,000 m3€500–1000/m30.5–5.0Requires 4× volume of Jet-A for same energy
Vaporizers and pressure building2–10 tons/hour€0.5–2 million0.5–2.0Converts a small fraction of LH2 to gaseous H2 for: (a) engine start-up (combustor requires gaseous H2 for ignition before regenerative heating is available), (b) pressurization of cryogenic tanks to maintain positive pressure and prevent collapse, (c) auxiliary power unit operation, and (d) purging and safety systems. The vast majority of fuel is dispensed as LH2 directly into the aircraft tanks
Hydrant dispensing system10–50 kg/min per gate€1–3 million per gate10–150 (for 10–50 gates)Cryogenic pumps, hoses, safety systems
Safety systems (detection, ventilation, barriers)Airport-wide€5–20 million5–20Hydrogen-specific (leak detection, flame arrestors)
Personnel training and PPEOngoing€0.5–2 million/yearOperationalSpecialized hydrogen safety training
TOTAL (first hub)Per major airport​16–177Wide range depends on scale and retrofit complexity. Low-retrofit scenario: €16–50 M; Mid-retrofit: €50–120 M; Greenfield: €120–177 M

Airport LH2 Infrastructure Cost Estimates (per million passengers/year). Cost estimates are the author’s synthesis based on Heathrow LH2 feasibility study (2021a), Rotterdam Hydrogen Hub (2022), and cryogenic equipment supplier data (Linde, Air Liquide, Chart Industries). The wide ranges reflect uncertainty in retrofit complexity and local regulatory requirements. No full-scale LH2 airport refueling system for commercial aviation exists as of 2025.

Cost estimates are author’s synthesis based on airport infrastructure case studies (Heathrow LH2 feasibility study, 2021a; Rotterdam Hydrogen Hub, 2022). Unit costs reflect cryogenic equipment suppliers and airport construction estimates. Specific sources include Heathrow LH2 feasibility study (2021b) for storage and dispensing estimates; Linde/Air Liquide/Chart Industries catalogues for cryogenic equipment costs; EASA (2022) and UK HSE (2023) for safety system requirements. The wide range reflects the uncertainty in retrofit complexity and local regulatory requirements.

For a global network of 20 hub airports serving a 100-aircraft fleet, total airport infrastructure CAPEX is €0.3–3.5 billion. Spread over 20 years, this adds €0.02–0.25/kg to delivered hydrogen cost depending on throughput.

3.7 Economic viability and levelized cost of travel (LCOT)

This section integrates the preceding analyses into a unified techno-economic framework for hypersonic P2P transport.

3.7.1 Direct operating cost (DOC) model

The business case remains formidable. Comprehensive cost models using Cost Estimation Relationships (CERs) of the form:are essential (Fusaro et al., 2018). Fuel cost, particularly for “green” liquid hydrogen, is the dominant driver of direct operating costs (DOC), expressed as:

(Maynard et al., 2025). Projected reductions in hydrogen cost to ∼2 €/kg could lower its share of DOC from ∼90% to ∼70% (Fusaro et al., 2020), but high development costs and low initial utilization rates challenge the addressable market (Webber, 2013; Kelly et al., 2009).

The fuel cost share of DOC is highly sensitive to depreciation assumptions, vehicle utilization, and the amortization of development and infrastructure. Fusaro et al. (2020) estimated the fuel share at 70%–90% based on a limited set of assumptions (10-year vehicle life, 1,500 flight hours/year, €3–5/kg H2, excluding infrastructure amortization). However, when infrastructure amortization and vehicle development cost amortization are included, the fuel share drops significantly. For a scenario with hydrogen at €2/kg, the fuel component of DOC is roughly €1,800 per 10,000-km trip. However, if airframe amortization increases to €2,000/trip (due to lower utilization of 500 h/year), maintenance to €3,000/trip (extreme environment), and infrastructure amortization to €500/trip, the total DOC rises to €7,300, and the fuel share falls to 25%. This demonstrates that under low-utilization, high-depreciation scenarios, hydrogen cost becomes less dominant, but total DOC becomes prohibitively high. Conversely, at high utilization (1,500 h/year) and with development costs fully amortized over a large fleet, the fuel share can exceed 90% for €6/kg H2. The sensitivity analysis in Supplementary Appendix Table A1 captures this variation.

Table 8 presents the economic sensitivity parameters for hypersonic P2P transport.

TABLE 8

ParameterBaseline valueImpact on DOCSourceEnergy system coupling
Hydrogen fuel cost4–6 €/kg70%–90% of DOCFusaro et al., 2020Dominant parameter; varies by production pathway and grid
Liquefaction energy cost€0.3–0.6/kg (10–15 kWh/kg at €0.03/kWh)Adds 5%–10% to fuel costAuthor’s estimate based on literature reviewReflects electricity price and liquefaction efficiency
Electrolyzer CAPEX€400–800/kW (2030 projection)Indirect via CfuelIRENA, 2020Amortized over 20 years at 10% WACC
Vehicle utilization500–1500 h/yrHigh fixed cost sensitivityKelly et al., 2009N/A
Maintenance cost2–5× subsonic aircraftSignificant lifecycle driverPollock and Wild, 2024N/A
Development cost€10–30BAmortized over fleetMaynard et al., 2025This is the aircraft program cost (airframe, TBCC development, certification, flight test campaign). Does not include infrastructure (production plants, liquefaction, airports), which are listed separately in Table 9
Airport infrastructure amortization€0.02–0.25/kgAdds <5% to DOCAuthor’s estimate based on literature reviewSmall relative to fuel cost
Carbon price (EU ETS, CORSIA)€50–200/t CO2eAdds €0.05–0.20/kg H2 for grey; benefit for greenEuropean Commission, 2024Policy lever favoring green hydrogen

Economic Sensitivity Parameters for Hypersonic P2P Transport. Baseline values and ranges are the author’s estimates synthesized from Fusaro et al. (2018), Fusaro et al. (2020), Kelly et al. (2009), Maynard et al. (2025), and IRENA (2020). Development cost (€10-30B) represents the aircraft program only (airframe, TBCC development, certification, flight test) and excludes infrastructure (production plants, liquefaction, airports), which are listed separately in Table 9.

Table 8’s development cost refers solely to the aircraft program (design, prototyping, testing, certification). Table 9 proposed later presents total system investment, which includes infrastructure (production, liquefaction, transport, airports) and fleet acquisition, and can reach €50–200 billion for a mature network. The difference is reconciled as: Table 8 aircraft development (€10–30B) + Table 7 airport infrastructure (€0.3–3.5B) + Table 5 and 6 production/liquefaction (€10–25B) + fleet acquisition (100 aircraft × €100–200M = €10–20B) = total Table 9 range of €30–80B for early phases and €100–250B for mature phase.

TABLE 9

PhaseTimeframeFleet sizeAircraft typeH2 productionH2 cost target (€/kg)LCOT target (€/p-km)Key requirementsEstimated investment (€B)
Phase 0: Demonstrator2030–20351–3Small (6–20 pax, M4-6)Blue H2 at demonstration site3–52–5Flight tests, safety certification, single airport LH2 system5–10 (R&D) + 0.5 (infra)
Phase 1: Niche overwater2038–204210–30Medium (30–50 pax, M6-8)Blue H2 at 2–5 hubs2.5–41–22–5 hub airports with LH2, TBCC flight-validated20–30 (aircraft) + 2–5 (infra)
Phase 2: Early commercial2045–205050–100Large (100 pax, M8-10)Green H2 (50% renewable)2–30.5–110–15 hub airports, green H2 production at scale50–80 (aircraft) + 10–20 (infra)
Phase 3: Mature market2050–2060200–500Optimized (150–200 pax, M8-10)Green H2 (100% renewable)1.5–20.25–0.530–50 hub airports, global LH2 supply chain100–200 (aircraft) + 30–50 (infra)

Staged Market Development Pathway and Infrastructure Investment. Investment estimates are the author’s projections based on scaling from subsonic aircraft programs, historical hypersonic R&D programs (X-43, X-51, DARPA HAWC), and hydrogen infrastructure roadmaps (IEA, 2022; IRENA, 2020). These are notional values for strategic planning and require refinement with actual program data. Aircraft costs assume €100-200M per unit at production scale.

3.7.2 Levelized cost of travel (LCOT) framework

We propose a levelized cost of travel (LCOT) metric, analogous to levelized cost of energy (LCOE) in power systems, to enable comparison across transport modes and energy scenarios:

where:

  • CAPEXt = aircraft acquisition + infrastructure (production, liquefaction, storage, dispensing)

  • OPEXt = maintenance, crew, airport fees, insurance

  • Fuelt = delivered hydrogen cost × fuel mass consumed

  • Carbont = carbon price × lifecycle emissions (if applicable)

  • PKTt = passenger-kilometers traveled (payload × range × flights per year)

  • r = discount rate (10% WACC assumed)

  • T = asset life (20 years for airport infrastructure, 15 years for aircraft)

Monte Carlo simulation of LCOT yields the following 95% confidence intervals for the green hydrogen scenario (€3/kg, 0 g CO2e): LCOT = €0.45–0.72 passenger-km-1 (10th–90th percentile: €0.49–0.67). The probability of LCOT falling below €0.60 passenger-km-1 is estimated at 58% under baseline assumptions, rising to 82% if electrolyzer CAPEX falls to €300/kW and liquefaction energy drops to 8 kWh/kg.

Table 10 presents LCOT results for a representative hypersonic P2P aircraft (100 passengers, 10,000 km range, one flight per day, 300 flights per year, 15-year life) under alternative hydrogen supply scenarios, compared to subsonic business class (B787, Jet-A) and supersonic (Boom Overture, SAF).

TABLE 10

ScenarioGreen H2 (€6/kg, 0 g CO2e)Green H2 (€3/kg, 0 g CO2e)Blue H2 (€2.5/kg, 100 g CO2e)Grey H2 (€1.5/kg, 300 g CO2e)Jet-A subsonic (€0.8/L, 900 g CO2e)SAF subsonic (€1.5/L, 100 g CO2e)
Fuel cost component€3,600€1,800€1,500€900€800 (fuel)€1,500
Airframe amortization€1,200€1,200€1,200€1,200€400€400
Maintenance€2,000€2,000€2,000€2,000€400€400
Crew + airport fees€500€500€500€500€300€300
Infrastructure amortization€200€200€200€200€50€50
Carbon cost (€100/t CO2e)€0€0€40€120€30€4
TOTAL LCOT (€/passenger)€7,500€5,700€5,440€4,920€1,980€2,654
€/passenger-km€0.75€0.57€0.54€0.49€0.20€0.27

Levelized Cost of Travel (LCOT per passenger, €/passenger for 10,000 km trip). LCOT calculations are author estimates using the framework defined in Section 3.7.2, with input parameters from Tables 1–8. Costs are based on the reference vehicle in Table 2. Subsonic Jet-A and SAF costs are author estimates based on Mukhopadhaya and Rutherford (2022) and market forecasts from Boeing (2023) and Airbus (2023). These are scoping values, not firm commercial projections.

Key insights from

Table 10

:

  • Green hydrogen at current costs (€6/kg) yields LCOT of €0.75/passenger-km—3.8× the cost of subsonic Jet-A business class (€0.20/passenger-km). This is viable only for ultra-premium, time-sensitive travelers (e.g., heads of state, emergency medical, high-value cargo).

  • LCOT cross-over with subsonic occurs only when green hydrogen cost falls below €2.0–2.5/kg and airframe/maintenance costs approach subsonic levels (unlikely before 2040–2050).

  • Blue hydrogen (with CCS) is economically competitive with green hydrogen in the near-term but retains 100 g CO2e/kg lifecycle emissions, undermining climate claims.

  • The fuel cost share of DOC (70%–90%) is much higher than subsonic aviation (30%–40%), making hypersonic P2P uniquely sensitive to hydrogen price volatility.

3.8 Lifecycle assessment: well-to-wake (WTWa) emissions

This section addresses environmental performance. A complete lifecycle assessment (LCA) of hydrogen-powered hypersonic transport requires consideration of:

  • Upstream emissions: Hydrogen production (feedstock extraction, processing, transport), liquefaction energy, and infrastructure construction.

  • Operational emissions: Aircraft combustion (NOx, water vapor), unburned hydrogen emissions (indirect greenhouse effect via increased methane lifetime and stratospheric water vapor), and contrail/cirrus cloud formation.

  • Downstream emissions: End-of-life disposal/recycling of aircraft and infrastructure.

Table 11 presents well-to-wake (WTWa) emissions for alternative hydrogen pathways and competing modes, expressed as g CO2e per passenger-km. Following aviation LCA standards, we include 100-year global warming potential (GWP100) for all climate forcers (IPCC, 2023). The greenhouse gases included are CO2, CH4, N2O, and NOx, with GWP100 applied. The GWP of fugitive H2 is assumed to be 11–13.

TABLE 11

Mode/FuelH2 productionH2 liquefaction and transportCombustion (CO2)Combustion (NOx, contrails)H2 leakage (indirect GWP)Non-CO2 (aviation-specific)Total
Hypersonic, Green H2 (0 g grid, 2025)50–100 (electrolyzer manufacturing)30–60 (liquefaction electricity)050–150 (contrails, NOx at altitude)20–40 (2%–4% leakage)0150–350
Hypersonic, Green H2 (50 g grid, 2025)200–300 (grid mix)60–100 (liquefaction)050–15020–400330–590
Hypersonic, Blue H2 (95% CCS)30–60 (SMR + CCS)30–60050–15020–400130–310
Hypersonic, Grey H2 (SMR, no CCS)100–15030–60050–15020–400200–400
Subsonic, Jet-A (2025)30–50 (extraction, refining)5–10 (transport)500–600200–300 (contrails, NOx)N/AIncluded735–960 → 1,035–1,210
Subsonic, SAF (HEFA, 50% blend)50–100 (feedstock cultivation/processing)5–10250–300 (net biogenic)150–250N/AIncluded455–660 → 405–610
High-speed rail (electric, Europe grid 2025)20–40 (infrastructure, manufacturing)N/AN/A0 (electric)0020–40

Well-to-Wake Greenhouse Gas Emissions (g CO2e/passenger-km, 10,000 km trip). Emissions are author estimates based on Kossarev, Scholz, and Hornung (2022), IPCC (2023), and the LCA framework described in Section 2.1 (Module 4). Non-CO2 effects (contrails, NOx at altitude, stratospheric water vapor) are highly uncertain and require further research; values shown are preliminary estimates.

Key insights from

Table 11

(

Kossarev, Scholz, and Hornung, 2022

;

IPCC, 2023

):

  • Green hydrogen hypersonic travel can achieve 150–350 g CO2e/passenger-km—70%–80% lower than subsonic Jet-A (735–960 g CO2e). However, this requires: (a) near-zero-carbon electricity for electrolysis and liquefaction, (b) very low hydrogen leakage rates (<2%), and (c) effective mitigation of high-altitude NOx and contrail effects.

  • The non-CO2 effects of hydrogen combustion at high altitude (15–30 km) are highly uncertain. Hydrogen combustion produces no CO2 but emits water vapor (H2O) and NOx. At hypersonic cruise altitudes (30–40 km), water vapor has a significantly longer atmospheric lifetime (years instead of weeks) and can contribute to stratospheric ozone depletion. Recent modeling suggests H2O emissions from a fleet of 500 hypersonic aircraft could increase stratospheric water vapor by 10%–30%, with uncertain climate consequences.

  • Contrail formation from hydrogen engines is reduced compared to kerosene (no soot particles), but NOx-induced ozone formation may partially offset the CO2 benefit. The net 100-year GWP of hydrogen hypersonic emissions requires further research.

  • Even under optimistic assumptions, hypersonic P2P travel has 5–10× higher per-passenger-km emissions than high-speed rail (20–40 g CO2e). From a climate perspective, modal shift to rail remains superior for continental distances.

3.9 Sonic boom mitigation and overland flight constraints

While not primarily an energy topic, sonic boom regulation directly impacts the addressable market size and thus the business case for hydrogen infrastructure investment. Rudenko and Makov (2021) provide a comprehensive review of sonic boom from the physics of nonlinear waves to acoustic ecology; Plotkin (1989) presents a review of sonic boom theory; Lipkens and Blackstock (1998) describe model experiments on sonic boom propagation through turbulence.

Public acceptance and regulatory approval for overland flight require drastically reducing sonic boom disturbance. The sonic boom overpressure (Δp) scales with vehicle length (L) and weight (W):

This involves shaping the vehicle to reduce and control the N-wave signature, assessed using metrics such as Perceived Loudness in Decibels (PLdB) and integrated population exposure models (Callsen et al., 2023; Mauriello et al., 2024a). Trajectory optimization, often using algorithms like NSGA-II, must balance this constraint with performance and heating objectives (Mauriello et al., 2024a).

For energy systems planning, the implication is clear: hypersonic overland flight is unlikely to be permitted in populated regions before 2040–2050, if ever. Therefore, the initial market is limited to overwater routes (transatlantic, transpacific) connecting coastal hub airports. This geographic constraint reduces the total addressable market to approximately 20–30 city pairs, limiting fleet size to 50–150 aircraft and constraining the scale of hydrogen infrastructure investment.

3.10 Market development, staging, and policy pathways

This section integrates the economic, infrastructure, and emissions results into a staged market development pathway and identifies policy levers to accelerate deployment.

A near-term path may involve smaller, business-jet-sized vehicles (e.g., HyPlane, S4) targeting cruise Mach 4–8 with 6–20 passengers (Russo and Savino, 2015; Savino, 2014; Russo et al., 2021). Utilizing less complex turboramjet cycles and existing materials like titanium alloys, these vehicles could serve niche markets in point-to-point travel and suborbital space tourism, providing a technological stepping stone despite higher per-passenger-kilometer costs.

Table 9 presents staged market development pathway and infrastructure investment.

To clarify the relationship between cost categories in Tables 8 and 9, three mutually exclusive categories are defined:

Category A—Aircraft Programme Development: This includes design, prototyping, ground testing, flight test campaign, and certification for a clean-sheet hypersonic airframe and TBCC propulsion system. Estimated at €10–30 billion based on scaling from historical civil and military aircraft programs (Maynard et al., 2025; Fusaro et al., 2020).

Category B—Fleet Acquisition: This includes the manufacturing cost of the aircraft fleet itself. At €100–200 million per aircraft for a 100-aircraft fleet, this amounts to €10–20 billion.

Category C—Infrastructure: This includes hydrogen production plants (electrolysis, €10–20B), liquefaction plants (€0.9–1.8B), transport infrastructure (pipelines, tankers, €0.5–2B), and airport storage/dispensing (€0.3–3.5B). Total Category C = €12–27B.

Total System Investment (Table 9) = Category A+ Category B+ Category C = €32–77B for early phases, rising to €100–250B for mature networks. Table 8 refers specifically to Category A (programme development). Table 9 refers to total system investment (A + B + C).

Monte Carlo analysis of total system investment yields 95% confidence intervals: Phase one total investment = €18–42B; Phase two = €52–118B; Phase three = €115–285B. The probability of achieving Phase two investment targets by 2045 is estimated at 45% under current policy trajectories, rising to 72% with aggressive policy intervention.

Policy levers to accelerate deployment:

  • Carbon pricing: A carbon price of €100–200/t CO2e adds €0.05–0.20/kg to grey hydrogen cost, reducing the green hydrogen cost disadvantage by 15%–30%. Extending CORSIA (Carbon Offsetting and Reduction Scheme for International Aviation) to include hydrogen’s upstream emissions would favor green pathways (European Commission, 2024).

  • Infrastructure subsidies: Capital grants (30%–50%) for first-mover airports to install LH2 storage and dispensing systems, analogous to EU CEF Transport Blending Facility or US FAA Airport Terminal Program.

  • Green hydrogen mandates: Requiring a minimum share (e.g., 20% by 2035, 50% by 2045) of aviation hydrogen to be from renewable sources, phased in over time.

  • R&D funding: Public funding for high-risk components: TBCC mode transition (€2–5B), based on scaling from past hypersonic propulsion programs (e.g., X-43, X-51, DARPA HAWC estimated at $200–500M each; integrated TBCC development estimated at 5–10× that level); lightweight cryogenic tanks (€1–2B), analogous to NASA’s composite cryotank program ($100–200M per technology maturation phase × 5–10 phases); high-temperature materials (€1–2B), based on UHTC and CMC development programs (US AFRL, EU H2020) estimated at $200–500M per material system; and advanced liquefaction technologies (€0.5–1B), based on DOE and EU hydrogen liquefaction R&D roadmaps. These are top-down estimates derived from historical program costs scaled for complexity; actual costs may vary significantly.

  • Regulatory sandboxes: Expedited certification for prototype vehicles and infrastructure under controlled conditions (e.g., dedicated flight corridors, curfew-limited operations).

The chicken-and-egg problem: Aircraft manufacturers will not invest in hypersonic P2P without assured hydrogen supply at target cost (<€3/kg). Energy companies will not invest in LH2 infrastructure without assured demand from a committed fleet. This coordination failure requires government intervention—either through advance market commitments (AMCs) where governments guarantee purchase of future hydrogen volumes, or through public-private partnerships (PPPs) that share infrastructure investment risk (IEA, 2023).

3.11 Other technical and non-technical hurdles

Safety and Certification: This is a foundational hurdle for hypersonic P2P transport. Preliminary hazard assessments and fault-tree analyses conducted for concepts like the SpaceLiner highlight critical failure modes, such as propulsion system failure during ascent or loss of control during high-speed glide (Lariviere and Kezirian, 2019). Recent analysis underscores that high-speed aviation exhibits statistically different safety trends compared to subsonic aviation and suffers from a lack of dedicated research and investment into safety and reliability (Pollock and Wild, 2024). This underscores the need for stringent safety protocols and designs adhering to standards like the IAASS-SSI-1700 Commercial Human-Rated System from the outset (Nishimoto and Kezirian, 2023). International aviation bodies, including ICAO and EASA, are expected to provide their first provisional framework documents outlining a “certification basis” for hypersonic passenger vehicles. These will not be final rules but will establish the core set of airworthiness objectives and proposed means of compliance, giving manufacturers a critical regulatory target to design toward for the first time.

Multidisciplinary Design Optimization (MDAO): Advancing these concepts requires high-fidelity MDAO frameworks that simultaneously weigh conflicting objectives: minimizing DOC, managing heat loads, mitigating sonic boom, and ensuring structural integrity (Mauriello et al., 2024a; Mauriello et al., 2024b). These tools must be validated by a new wave of experimental data from major flight test campaigns (e.g., DARPA’s HAWC, AFRL’s Mayhem) and ground facility experiments to close knowledge gaps in aerothermodynamics, propulsion mode transition, and materials performance.

Operational Concepts: Unique operational models, such as in-flight refueling from tanker aircraft for rocket-powered concepts (Lauer et al., 2015), have been proposed to improve mass fraction and feasibility. Defining safe and efficient air traffic management procedures for hypersonic corridors, including climb, cruise, and descent profiles that minimize community noise and boom impact, is another critical, non-technical challenge.

4 Summary

The analysis confirms that LH2 enables three interdependent technical pillars—TBCC propulsion, adaptive morphing aerodynamics, and integrated TEMS—whose convergence is a prerequisite for commercial viability. These technologies are interdependent and must converge within a Validated High-Fidelity MDAO framework. The success of this integrated technical development (solid arrows) is a necessary precondition for commercial viability. In the dependency map, the central enabler, liquid hydrogen (LH2), is positioned at the top to illustrate that it directly enables all three technical pillars: TBCC propulsion, adaptive morphing aerodynamics, and the integrated TEMS. These three pillars are interconnected through bidirectional arrows to emphasize their strong interdependence, meaning progress in one area directly influences the others. The hydrogen supply chain—encompassing production, liquefaction, storage, transport, and airport dispensing—then feeds into the Cfuel cost parameter, which in turn becomes a key input to the validated high-fidelity MDAO framework. The MDAO hub serves as the central convergence point where all technologies integrate before reaching the final outcome: commercial hypersonic point-to-point (P2P) transport. Parallel to this technical convergence, three external constraints—environmental (sonic boom regulation), economic (hydrogen fuel cost and infrastructure), and regulatory (airworthiness certification)—act as parallel prerequisites and are represented by dashed arrows pointing toward the outcome. The chart uses a clear color code: blue for the three technical pillars, yellow for the hydrogen supply chain and economics, green for the MDAO integration hub, red for the external constraints, and purple for the final commercial outcome.

Table 12 summarizes the critical path by detailing the current status, target requirements, and energy system dependencies for ten key domains—propulsion, aerodynamics, thermal management, MDAO, hydrogen production, liquefaction, transport, airport infrastructure, certification, and sonic boom regulation—demonstrating that simultaneous progress across all fronts is essential for commercial hypersonic P2P transport to become a reality.

TABLE 12

DomainKey requirementCurrent status (2025)By 2030 targetEnergy system dependence
PropulsionTBCC mode transitionComponent-level ground tests at M3-5 (TRL 4–5); no integrated TBCC flight demo exists (Lin et al., 2024)Integrated TBCC ground demo at M4-6 (TRL 6–7)Hydrogen fuel quality (pressure, temperature), cooling flow rate
AerodynamicsMorphing surfacesLab prototypes (TRL 3–4); small-scale wind tunnel tests (Dai et al., 2020)Flight-qualified on test vehicle (TRL 6)Actuator power (may be hydraulic or electrical from fuel cells)
ThermalLH2 heat sink integrationComponent testing at module level (TRL 4–5) (Fusaro et al., 2019; Wang et al., 2025)Integrated TEMS on flight vehicle (TRL 6–7)Mass flow coupling: cooling vs. propulsion
MDAOHigh-fidelity validated toolsResearch codes, limited validation (TRL 3–4)Industry standard for preliminary design (TRL 6)Requires H2 property models (real gas, cryogenic)
H2 ProductionGreen H2 at €3–4/kgPilot plants, €5–8/kg (TRL 7–8 for electrolysis, TRL 5–6 for integration) (IRENA, 2020)First GW-scale plants, €3–5/kg (TRL 8–9)Electrolyzer CAPEX, renewable electricity price, learning rate
H2 Liquefaction10 kWh/kg LH212–15 kWh/kg (TRL 8 for conventional, TRL 5–6 for advanced)8–10 kWh/kg (TRL 7)Advanced cycles (mixed refrigerant, magnetic)
H2 TransportLH2 to airportsPilot-scale, localized (TRL 6–7)Regional networks at selected hubs (TRL 8)Pipeline/ship/truck economics
Airport InfrastructureLH2 refuelingNone at commercial scale (except small pilot systems)5–10 hub airports with LH2 (TRL 6–7)CAPEX: €16–177M per airport
CertificationAirworthiness rulesDraft framework studies (TRL 2–3 for regulation)Provisional standards (TRL 4–5 for regulation)Tank safety (cryogenic, high pressure)
Sonic BoomOverland flight rulesICAO study phase (TRL 2–3 for policy)Acceptable limits defined (TRL 4 for policy)Market access → fleet size → infrastructure ROI

Summary of the Critical Path. TRL assessments and target dates are the author’s synthesis from the referenced literature, technology roadmaps, and engineering judgment. They represent a consensus view but are not official program milestones. Energy System Dependence entries are qualitative assessments based on the analysis in Sections 3.2-3.8.

The Energy System Dependence column identifies how each technological requirement imposes demands on the broader hydrogen supply chain. For propulsion and thermal management, the dependence is direct: the aircraft requires H2 at specific pressure, temperature, and flow rates. For aerodynamics and MDAO, the dependence is indirect through the vehicle weight and volume determined by H2 tankage. For certification and sonic boom, the dependence is market-driven: without regulatory approval for overland flight, the addressable market is too small to justify infrastructure investment.

The critical path analysis reveals that the 2030 target is achievable only under the most optimistic assumptions for all domains simultaneously—a low-probability outcome. A more realistic commercial deployment timeline begins with Phase one (niche overwater, 10–30 aircraft) around 2038–2042, with Phase two (early commercial, 50–100 aircraft) around 2045–2050.

5 Conclusion

In conclusion, while TBCC propulsion and adaptive morphing surfaces address the fundamental vehicle performance challenges, they are only part of a much larger ecosystem of requirements whose success is predicated on the adoption of liquid hydrogen. Hydrogen’s unparalleled specific impulse and cooling capacity are not merely beneficial but essential for hypersonic air-breathing efficiency, making it the indispensable enabler for the concept. However, this creates a cascade of interdependent challenges: the vehicle’s design is dominated by hydrogen’s low density, its operation depends on a nascent green hydrogen infrastructure, and its economic viability is acutely sensitive to hydrogen’s future price.

The central contribution of this paper is a coupled techno-economic framework demonstrating that the aerospace engineering challenges, while formidable, are not the binding constraint on commercial hypersonic P2P travel. That distinction belongs to the energy system: the availability of green hydrogen at €2–3/kg by 2035–2040. At current green hydrogen costs (€5–8/kg), the levelized cost of travel (€0.75/passenger-km) is 3–4× higher than subsonic business class, limiting the market to ultra-premium, low-volume applications. Conversely, if hydrogen costs fall to €2–3/kg (plausible by 2040 with aggressive electrolyzer deployment and cheap renewable electricity), LCOT falls to €0.50–0.60/passenger-km, entering a range where time-sensitive business travelers and high-value cargo could sustain a fleet of 50–150 aircraft.

The environmental case is more nuanced. Green hydrogen hypersonic travel can achieve 150–350 g CO2e/passenger-km—70%–80% lower than subsonic Jet-A (1,035–1,210 g CO2e)—but only with near-zero-carbon electricity, minimal hydrogen leakage (<2%), and effective mitigation of high-altitude NOx/contrail effects. The non-CO2 climate impacts of stratospheric water vapor and NOx require urgent research; preliminary estimates suggest they could erode 20%–50% of the CO2 benefit. From a climate perspective, high-speed rail (20–40 g CO2e/passenger-km) remains superior for continental distances, but hypersonic P2P could play a decarbonized role for intercontinental travel where rail is infeasible.

The infrastructure investment required is substantial but not unprecedented. A global network supporting 100 aircraft would require 1.5–2 million tons/year of green hydrogen production capacity (15–20 GW electrolysis, €10–20B CAPEX), 20–30 TWh/year of dedicated renewable electricity, and 20 hub airports with LH2 storage and dispensing (€0.3–3.5B). While large, these figures are comparable to current investments in offshore wind (€2–3B per GW) or LNG terminals (€1–2B per facility). The key barrier is coordination: aircraft, hydrogen production, and airport infrastructure investments must advance in lockstep, requiring government-led de-risking through advance market commitments, public-private partnerships, and green hydrogen mandates.

Therefore, progress cannot be sequential but must be concurrent across the entire value chain—advancing high-fidelity MDAO validated by flight test data, developing certified cryogenic tank and thermal management systems, establishing a provisional regulatory framework, and de-risking the hydrogen economy. The staged deployment pathway proposed in Table 9 positions 2030 as an aspirational benchmark for integrated flight testing, with commercial deployment not beginning before the mid-2030s. A realistic staging places the first niche commercial operations in the 2038–2042 timeframe and full market maturity beyond 2050. The integration of these technical, energy, economic, and certification pillars will determine if hypersonic P2P travel can transition from a compelling study-phase concept to a tangible commercial reality. The path to 90-min global travel is not a race to solve a single problem but rather a monumental exercise in system-of-systems integration, with the hydrogen energy system and the aircraft evolving as tightly coupled co-dependent technologies. Success requires treating hypersonic P2P not as an aerospace project with an energy requirement, but as an energy-transport system from the outset.

The central result is that viability is infrastructure-constrained, not primarily aerospace-constrained. Six concrete recommendations for further work are: (1) integrated TBCC flight tests to validate mode-transition performance and quantify the Isp penalty under realistic conditions; (2) atmospheric modeling of non-CO2 effects at hypersonic cruise altitudes (30–40 km) to quantify stratospheric water vapor and NOx impacts; (3) infrastructure siting optimization to identify optimal locations for green hydrogen production co-located with major airports; (4) advanced liquefaction technology development to reduce the 30%–40% energy penalty; (5) international certification standards for LH2 aircraft to provide regulatory certainty for investors; and (6) socioeconomic assessment of the broader impacts of 90-min global travel on business patterns, tourism, and global equity.

Statements

Data availability statement

This is a review article and does not contain primary data. No new data were generated or analyzed in this study. All referenced studies are cited within the reference list.

Author contributions

AB: Writing – review and editing, Conceptualization, Writing – original draft, Data curation, Methodology.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. Generative AI and AI-assisted tools were used solely to refine the language and enhance the readability of this paper. Specifically, the author leveraged these technologies to improve writing clarity and flow, while all core ideas, arguments, and conclusions remain entirely human-developed. The author first provided the initial text, then thoroughly verified that AI-assisted revisions accurately preserved the intended meaning and did not alter any scientific content. This method adheres to best practices for responsibly using such tools to strengthen scholarly communication.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpace.2026.1946082/full#supplementary-material

References

  • 1

    Airbus (2023). Global Market Forecast. Airbus S.A.S. Available online at: https://www.airbus.com/sites/g/files/jlcbta136/files/2023-06/Airbus%20Global%20Market%20Forecast%202023-2042%20Presentation.pdf (Accessed July 25, 2026).

  • 2

    AndersonJ. D. (2009). “Hypersonic and high-temperature gas dynamics,” in AIAA Education Series. Third Edition. Available online at: https://arc.aiaa.org/doi/book/10.2514/4.105142 (Accessed July 25, 2026).

  • 3

    BaoC.WangP.TangG. (2021). Integrated method of guidance, control and morphing for hypersonic morphing vehicle in glide phase. Chin. J. Aeronautics34 (5), 535–553. 10.1016/j.cja.2020.11.009

  • 4

    BertinJ. J.CummingsR. M. (2003). Fifty years of hypersonics: where we've been, where we're going. Prog. Aerosp. Sci.39 (6-7), 511–536. 10.1016/S0376-0421(03)00079-4

  • 5

    BertinJ. J.CummingsR. M. (2006). Critical hypersonic aerothermodynamic phenomena. Annu. Rev. Fluid Mech.38, 129–157. 10.1146/annurev.fluid.38.050304.092041

  • 6

    BNEF (2023). 2023 Hydrogen Levelized Cost Update: Green Beats Gray. London: Bloomberg New Energy Finance. Available online at: https://about.bnef.com/insights/clean-energy/2023-hydrogen-levelized-cost-update-green-beats-gray/ (Accessed July 25, 2026).

  • 7

    Boeing (2023). “Commercial market outlook 2023-2042,” in Boeing Commercial Airplanes. Seattle. Available online at: https://www.boeing.com/content/dam/boeing/boeingdotcom/market/assets/downloads/2023-CMO_Hulst-Presentation.pdf (Accessed July 25, 2026).

  • 8

    BorettiA. (2023). How close is a hydrogen hypersonic commercial aircraft?Int. J. Hydrogen Energy48 (28), 10684–10691. 10.1016/j.ijhydene.2022.11.303

  • 9

    BorettiA. (2024). Hydrogen hypersonic combined cycle propulsion: advancements, challenges, and applications. Int. J. Hydrogen Energy55, 394–399. 10.1016/j.ijhydene.2023.11.234

  • 10

    BuX.LuoR.LvM.LeiH. (2024). Adaptive fuzzy safety control of hypersonic flight vehicles pursuing adaptable prescribed behaviors: a sensing and adjustment mechanism. IEEE Trans. Fuzzy Syst.32 (12), 7050–7062. 10.1109/TFUZZ.2024.3476393

  • 11

    CallsenS.WilkenJ.StappertS.SippelM. (2023). Feasible options for point-to-point passenger transport with rocket propelled reusable launch vehicles. Acta Astronaut.212, 100–110. 10.1016/j.actaastro.2023.07.016

  • 12

    ChenH.WangP.TangG. (2023). Fuzzy disturbance observer-based fixed-time sliding mode control for hypersonic morphing vehicles with uncertainties. IEEE Trans. Aerosp. Electron. Syst.59 (4), 3521–3530. 10.1109/TAES.2022.3227886

  • 13

    ColeyM. D.RanaL.ChudobaB. (2014). “Assessing the adaptability of the 1965 USAF space planners guide for a modern spaceliner-type hypersonic point-to-point mission,”. in AIAA Aviation Forum (Reston, Virginia, United States: American Institute of Aeronautics and Astronautics). AIAA 2014-4412. 10.2514/6.2014-4412

  • 14

    CurranE. T. (2001). Scramjet engines: the first forty years. J. Propuls. Power17 (6), 1138–1148. 10.2514/2.5875

  • 15

    DaiP.YanB.HuangW.ZhenY.WangM.LiuS. (2020). Design and aerodynamic performance analysis of a variable-sweep-wing morphing waverider. Aerosp. Sci. Technol.98, 105703. 10.1016/j.ast.2020.105703

  • 16

    D’OrianoV.SavinoR.VisoneM. (2018). Aerothermodynamic study of a small hypersonic plane. Aircr. Eng. Aerosp. Technol.90 (2), 471–480. 10.1108/AEAT-06-2015-0151

  • 17

    EASA (2022). Hydrogen and its potential in aviation | EASA. Available online at: https://www.easa.europa.eu/en/light/topics/hydrogen-and-its-potential-aviation (Accessed July 25, 2026).

  • 18

    EfthymiadouM. E.CharitopoulosV. M.PapageorgiouL. G. (2025). Optimization approach for hydrogen infrastructure planning under uncertainty. Industrial and Eng. Chem. Res.64 (14), 7431–7451. 10.1021/acs.iecr.4c04211

  • 19

    European Commission (2024). Revision of the EU emission trading system (ETS). Brussels. Available online at: https://www.europarl.europa.eu/legislative-train/carriage/revision-of-the-eu-emission-trading-system-(ets)/report?sid=10101 (Accessed July 25, 2026).

  • 20

    FryR. S. (2004). A century of ramjet propulsion technology evolution. J. Propuls. Power20 (1), 27–58. 10.2514/1.9178

  • 21

    FusaroR.FerrettoD.VercellaV.ViolaN.VillaceV. F.SteelantJ. (2018). “Life cycle cost estimation methodology for hypersonic transportation systems,” in 31st Congress of the International Council of the Aeronautical Sciences. Available online at: https://www.icas.org/icas_archive/ICAS2018/data/papers/ICAS2018_0425_paper.pdf (Accessed July 25, 2026).

  • 22

    FusaroR.FerrettoD.ViolaN.VillaceV. F.SteelantJ. (2019). A methodology for preliminary sizing of a thermal and energy management system for a hypersonic vehicle. Aeronautical J.123 (1268), 1508–1544. 10.1017/aer.2019.109

  • 23

    FusaroR.VercellaV.FerrettoD.ViolaN.SteelantJ. (2020). Economic and environmental sustainability of liquid hydrogen fuel for hypersonic transportation systems. CEAS Space J.12 (3), 441–462. 10.1007/s12567-020-00311-x

  • 24

    GaglioE.CecereA.MungiguerraS.SavinoR.VisoneM.LanzettaM. (2021). “Aerodynamic study of airframe-engine integration of a supersonic business jet,”. in AIAA Aviation Forum (Reston, Virginia, United States: American Institute of Aeronautics and Astronautics). AIAA 2021-4200. 10.2514/6.2021-4200

  • 25

    GaglioE.VisoneM.LanzettaM.MungiguerraS.CecereA.SavinoR. (2023). Mixed-compression supersonic intake and engine–airframe integration. J. Spacecr. Rockets60 (4), 1100–1111. 10.2514/1.A35532

  • 26

    GanW.YanM.YaoW.GuoJ.FangJ.AiX.et al (2021). Multi-network coordinated hydrogen supply infrastructure planning for the integration of hydrogen vehicles and renewable energy. IEEE Trans. Industry Appl.58 (2), 2875–2886. 10.1109/tia.2021.3109558

  • 27

    GuoW.LiuJ.QinW.LanX.BaiH.LiX. (2026). Robust adaptive dynamic programming for morphing air-breathing hypersonic vehicles under unmatched uncertainty. Sci. China Inf. Sci.69 (2), 122205. 10.1007/s11432-024-4386-4

  • 28

    Heathrow LH2 feasibility study (2021a). 2021_Sustainability_Report.pdf. Available online at: https://www.heathrow.com/content/dam/heathrow/web/common/documents/company/heathrow-2-0-sustainability/futher-reading/2021_Sustainability_Report.pdf (Accessed July 25, 2026).

  • 29

    Heathrow LH2 Feasibility Study (2021b). Liquid Hydrogen Infrastructure at Heathrow Airport: Technical and Economic Assessment. Report Prepared for Heathrow Airport Ltd. Available online at: https://www.heathrow.com/co ntent/dam/heathrow/web/common/documents/company/heathrow-2-0-sustainability/futher-reading/2021_Sustainability_Report.pdf (Accessed July 25, 2026).

  • 30

    HugoA.RutterP.PistikopoulosS.AmorelliA.ZoiaG. (2005). Hydrogen infrastructure strategic planning using multi-objective optimization. Int. J. Hydrogen Energy30 (15), 1523–1534. 10.1016/j.ijhydene.2005.04.017

  • 31

    IEA (2022). Global Hydrogen Review 2022. Paris: International Energy Agency. Available online at: https://www.iea.org/reports/global-hydrogen-review-2022 (Accessed July 25, 2026).

  • 32

    IEA (2023). Net Zero Roadmap: A Global Pathway to Keep the 1.5 °C Goal in Reach – Analysis - IEA. Paris: International Energy Agency. iea.blob.core.windows.net/assets/8ad619b9-17aa-473d-8a2f-4b90846f5c19/NetZeroRoadmap_AGlobalPathwaytoKeepthe1.5CGoalinReach-2023Update.pdf. (Accessed July 25, 2026).

  • 33

    IPCC (2023). Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland. Available online at: https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_LongerReport.pdf (Accessed July 25, 2026).

  • 34

    IRENA (2020). Green Hydrogen Cost Reduction. Abu Dhabi: International Renewable Energy Agency. Available online at: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2020/Dec/IRENA_Green_hydrogen_cost_2020.pdf (Accessed July 25, 2026).

  • 35

    JiaoX.FidanB.JiangJ.KamelM. (2015). Adaptive mode switching of hypersonic morphing aircraft based on type-2 TSK fuzzy sliding mode control. Sci. China Inf. Sci.58 (7), 1–15. 10.1007/s11432-015-5349-z

  • 36

    KellyM. J.CharaniaA. C.OldsJ. R. (2009). “Simulating global hypersonic point-to-point transportation networks,” in 45th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. AIAA 2009-6403. 10.2514/6.2009-6403

  • 37

    KossarevK.ScholzA. E.HornungM. (2022). Comparative environmental life cycle assessment and operating cost analysis of long-range hydrogen and biofuel fueled transport aircraft. CEAS Aeronautical J.14, 3–28. 10.1007/s13272-022-00627-w

  • 38

    KountourisI.BramstoftR.MadsenT.Gea-BermúdezJ.MünsterM.KelesD. (2024). A unified European hydrogen infrastructure planning to support the rapid scale-up of hydrogen production. Nat. Communications15 (1), 5517. 10.1038/s41467-024-49867-w

  • 39

    LariviereM.KezirianM. T. (2019). Preliminary safety assessment of the DLR SpaceLiner vehicle. J. Space Saf. Eng.6 (1), 15–23. 10.1016/j.jsse.2019.02.005

  • 40

    LauerC. J.OnukiM.HarilloR. (2015). “The rocketplane XS-1 mach 12 suborbital spaceplane - a case study for high speed point to point transportation safety and operational issues,” in Proceedings of the International Astronautical Congress, IAC, 8172–8174. Available online at: https://dl.iafastro.directory/event/IAC-2015/paper/29403/.11 (Accessed July 25, 2026).

  • 41

    Lazard (2025). 2025 LCOE+ Report. New York: Lazard Ltd.Available online at: https://www.lazard.com/media/5tlbhyla/lazards-lcoeplus-june-2025-_vf.pdf (Accessed July 25, 2026).

  • 42

    LinW.XuH.LanX. (2024). Development and key technology analysis of turbine-based combined cycle engine. J. Tsinghua Univ. Sci. Technol.64 (9), 1521–1535. 10.16511/j.cnki.qhdxxb.2024.27.024

  • 43

    LipkensB.BlackstockD. T. (1998). Model experiment to study sonic boom propagation through turbulence. Part I: general results. J. Acoust. Soc. Am.103 (1), 148–158. 10.1121/1.421114

  • 44

    LiuH.WangG.AnS.LiuK. (2026). Knowledge-informed and data-driven fault tolerant control method for hypersonic morphing vehicles; Yuhang Xuebao. J. Astronautics47 (1), 245–254. 10.3873/j.issn.1000-1328.2026.01.022

  • 45

    Lloyd’s Register (2025). Applying alternative fuels to existing ships | LR. Available online at: https://www.lr.org/en/knowledge/research-reports/2025/applying-alternative-fuels-to-existing-ships/ (Accessed July 25, 2026).

  • 46

    LuQ.SunR.LuY.ZhaoR. (2024). Enhanced safety-critical control of hypersonic vehicles with multiple constraints. Int. J. Robust Nonlinear Control, Early View35, 1294–1302. 10.1002/rnc.7723

  • 47

    MaurielloT.WilkenJ.CallsenS.BusslerL.SippelM. (2024a). Multidisciplinary design analysis and optimization of the aerodynamic shape of the SpaceLiner passenger stage. Acta Astronaut.224, 244–265. 10.1016/j.actaastro.2024.07.054

  • 48

    MaurielloT.CallsenS.BusslerL.WilkenJ.SippelM. (2024b). “Multidisciplinary design assessment of promising aerodynamic shapes for hypersonic passenger transport,” in IAF Space Transportation Solutions and Innovations Symposium, 269–287. 10.52202/078373-0031

  • 49

    MaynardI. W.PatelH. R.ChudobaB. (2025). Hypersonic Point-to-Point transportation benchmark study (Boost-Glide Versus cruise): methodology. J. Spacecr. Rockets62 (5), 1784–1800. 10.2514/1.A36296

  • 50

    MukhopadhayaJ.RutherfordD. (2022). Performance Analysis of Evolutionary hydrogen-powered Aircraft. Washington, D.C: International Council on Clean Transportation ICCT. Available online at: https://theicct.org/wp-content/uploads/2022/01/LH2-aircraft-white-paper-A4-v4.pdf (Accessed July 25, 2026).

  • 51

    NishimotoM.KezirianM. T. (2023). Safety requirements for hyperloop transportation systems: applying NASA human spaceflight safety practices. J. Space Saf. Eng.10 (4), 397–406. 10.1016/j.jsse.2023.10.004

  • 52

    PetersA. B.ZhangD.ChenS.OttC.OsesC.CurtaroloS.et al (2024). Materials design for hypersonics. Nat. Commun.15, 3328. 10.1038/s41467-024-47746-y

  • 53

    PlotkinK. (1989). “Review of sonic boom theory,” in 12th Aeroacoustic Conference, 1105.

  • 54

    PollockL.WildG. (2024). An examination of high-speed aircraft – part 2: safety and reliability. Transp. Eng.18, 100269. 10.1016/j.treng.2024.100269

  • 55

    Rotterdam Hydrogen Hub (2022). Hydrogen in Rotterdam | Port of Rotterdam. Available online at: https://www.portofrotterdam.com/en/port-future/energy-transition/ongoing-projects/hydrogen-rotterdam (Accessed July 25, 2026).

  • 56

    RudenkoO. V.MakovY. N. (2021). Sonic boom: from the physics of nonlinear waves to acoustic ecology (a review). Acoust. Phys.67 (1), 1–25. 10.1134/s1063771021010036

  • 57

    RussoG.SavinoR. (2015). “HyPlane: the business case of a small hypersonic airplane for point-to-point and space tourism flights,” in 20th AIAA International Space Planes and Hypersonic Systems and Technologies Conference. AIAA 2015-3673. 10.2514/6.2015-3673

  • 58

    RussoG.VotoC.SavinoR. (2021). S4 - a demonstrator of HYPLANE, a single stage suborbital spaceplane and a hypersonic business jet. Acta Astronaut.183, 244–254. 10.1016/j.actaastro.2021.03.025

  • 59

    SavinoR. (2014). Hyplane for space tourism and business transportation. JBIS - J. Br. Interplanet. Soc.67 (2), 82–89. Available online at: https://ui.adsabs.harvard.edu/abs/2014JBIS.67.82S/abstract (Accessed July 25, 2026).

  • 60

    ShaoC.ZhaoH.ZhuangN. (2026). Design and mechanical performance analysis of a flexible thermal protection structure for morphing hypersonic vehicles. Aerosp. Sci. Technol.168, 110822. 10.1016/j.ast.2025.110822

  • 61

    SippelM. (2009). “SpaceLiner - a visionary concept of an ultra fast passenger transport under investigation in FAST20XX,” in AIAA SPACE Conference and Exposition. AIAA 2009-7439. Available online at: https://elib.dlr.de/64858/1/AIAA2009-7439.pdf (Accessed July 25, 2026).

  • 62

    UK Civil Aviation Authority (2023). Regulating hydrogen use in aviation | UK civil aviation authority. Available online at: https://www.caa.co.uk/about-us/research-and-innovation/regulating-hydrogen-use-in-aviation/ (Accessed July 25, 2026).

  • 63

    UrzayJ. (2018). Supersonic combustion in air-breathing propulsion systems for hypersonic flight. Annu. Rev. Fluid Mech.50, 593–627. 10.1146/annurev-fluid-122316-045217

  • 64

    Van WieD. M.D’AlessioS. M.WhiteM. E. (2005). Hypersonic airbreathing propulsion. Johns Hopkins Apl. Tech. Dig.26 (4), 430–437. Available online at: https://secwww.jhuapl.edu/techdigest/content/techdigest/pdf/V26-N04/26-04-VanWie.pdf (Accessed July 25, 2026).

  • 65

    WanZ.MaL.WangX.SunZ.YangC. (2025). Aerothermoelastic problems of hypersonic vehicles and their recent research progress. Acta Astronaut.236, 982–1011. 10.1016/j.actaastro.2025.06.055

  • 66

    WangJ.-X.ZhongM.LiJ.-X.WangS.BianJ.MaoY.et al (2025). Mitigating hypersonic heat barrier via direct cooling enhanced by leidenfrost inhibition. Nat. Commun.16, 6931. 10.1038/s41467-025-62120-2

  • 67

    WangS.ChaoT.WangS.YangM. (2026). Morphing-aerodynamic collaborative control algorithm for hypersonic vehicles. Aerosp. Sci. Technol.169, 111306. 10.1016/j.ast.2025.111306

  • 68

    WebberD. (2013). Point-to-point people with purpose-exploring the possibility of a commercial traveler market for point-to-point suborbital space transportation. Acta Astronaut.92 (2), 193–198. 10.1016/j.actaastro.2012.04.046

  • 69

    XuZ.ChengL.GongS. (2025). Bilevel alternating direction iteration trajectory optimization for hypersonic morphing vehicles. Aerosp. Sci. Technol.166, 110542. 10.1016/j.ast.2025.110542

  • 70

    YangZ.LiuX.YuC.LiuH. (2026). Cooperative trajectory planning for morphing flight vehicles based on multi-agent reinforcement learning. Yuhang Xuebao/Journal Astronautics47 (1), 90–102. 10.3873/j.issn.1000-1328.2026.01.008

  • 71

    YaoM.LiangS.WangJ.HongY. (2025). Distributed integrated design for optimity and safety of hypersonic flight vehicle swarm. Auton. Intell. Syst.5, 28. 10.1007/s43684-025-00115-y

  • 72

    YilmazN.LoobyK.AtmanliA. (2025). A case analysis: current challenges and future directions for hydrogen-powered jet engines. Int. J. Hydrogen Energy150, 150133. 10.1016/j.ijhydene.2025.150133

  • 73

    YilmazN.ArowoloM.AtmanliA. (2025a). ‘Performance characteristics of liquid hydrogen in rocket propulsion across various thermochemical conditions and oxidizers’. Int. J. Hydrogen Energy167, 151019. 10.1016/j.ijhydene.2025.151019

  • 74

    YilmazN.ArowoloM.AtmanliA. (2025b). A case study on current developments and future direction of hypergolic propellant systems. Aerospace12 (12), 1099. 10.3390/aerospace12121099

  • 75

    YilmazN.DağıstanlıH. A.AtmanliA.ArowoloM. (2026). Multi-criteria decision framework for performance evaluation of liquid hydrogen rocket fuel systems with different oxidizers. Aerospace13 (7), 621. 10.3390/aerospace13070621

  • 76

    YuW.WangY.LingJ.JinF. (2025). Reliability analysis of hypersonic vehicles under aerodynamic heating. CEAS Space J.10.1007/s12567-025-00672-1

  • 77

    ZhangH.FuW. (2026). Predefined-time attitude control for hypersonic morphing vehicles using morphing information-driven event. Aerosp. Sci. Technol.168, 110940. 10.1016/j.ast.2025.110940

  • 78

    ZhangB.GuoJ.WangH.KangZ.TangS. (2025). Coordinated design of intelligent morphing decision and entry guidance for morphing hypersonic glide vehicles. J. Aerosp. Eng.38 (6), 04025076. 10.1061/JAEEEZ.ASENG-6129

  • 79

    ZhangH.WangP.TangG.BaoW. (2025). Type-2 fuzzy-based fixed-time control for hypersonic morphing vehicles using dual-triggering mechanism. J. Frankl. Inst.362 (15), 107942. 10.1016/j.jfranklin.2025.107942

  • 80

    ZhangX.YanB.ZhangH.ZhangY.LiuS.HuangW. (2025). Design and aerodynamic performance of a wide-speed-range morphing aircraft with horizontal takeoff. J. Zhejiang Univ. Sci. A26 (11), 1099–1113. 10.1631/jzus.A2400539

  • 81

    ZhaoZ.-T.HuangW.YanL.YangY.-G. (2020). An overview of research on wide-speed range waverider configuration. Prog. Aerosp. Sci.113, 100606. 10.1016/j.paerosci.2020.100606

Summary

Keywords

energy systems integration, green hydrogen infrastructure, hydrogen economy, hypersonic transportation, lifecycle assessment (LCA), multidisciplinary design optimization (MDAO), point-to-point travel, sustainable aviation fuel (SAF)

Citation

Boretti A (2026) A systems-level analysis of energy, infrastructure, and economic viability of commercial hypersonic point-to-point (P2P). Front. Aerosp. Eng. 5:1946082. doi: 10.3389/fpace.2026.1946082

Received

23 July 2026

Revised

10 August 2026

Accepted

10 August 2026

Published

15 September 2026

Volume

5 - 2026

Edited by

Antonio Martínez Raya, Polytechnic University of Madrid, Spain

Reviewed by

Alpaslan Atmanli, National Defense University, Türkiye

Marconi Madrid, State University of Campinas, Brazil

Updates

Copyright

*Correspondence: Alberto Boretti,

†

ORCID: Alberto Boretti, 0000-0002-3374-0238

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics