What I measure in the test cell, and why it matters for aviation emissions.

Characterizing SAFs on a full-scale turbofan is:

A cost-effective, controlled platform:
Aviation contributes an estimated 3–5% of global anthropogenic climate forcing. More than half of that impact comes from non-CO₂ effects: NOₓ chemistry, soot acting as ice-nucleating particles, and contrail cirrus. CO₂ alone is an incomplete proxy for aviation’s total impact [1].
Pollutant formation depends on fuel chemistry and on the engine operating point, yet experiments on full-scale turbofans are expensive, logistically complex and tightly regulated. My work uses a controlled micro-turbojet to measure those sensitivities at tractable cost. A reactor-network model from our collaborators helps explain them [1].
The rig is useful at one selected comparison point. At maximum thrust, the P200-SX reaches a combustor-inlet temperature and pressure within about 16 K and 24 kPa of an IAE V2500 turbofan at idle. We call this the “micro-max / macro-idle” comparison.
The small engine therefore burns fuel at a combustor-inlet state that a full-scale engine sees at idle, with about a tenth of the fuel flow. Residence time, size, heat loss and the lubricant input still differ, so this is not full engine similarity. The comparison is worked through on the JET-CALF project page.
Figures from the CICS 2026 talk and the April 2026 JET-CALF update. Click any figure to enlarge.

Each result is worked through, with its figures and uncertainties, on its project page.
This figure compares trends. At the selected point, the combustor-inlet temperature and pressure of the two engines are close. Reaction rates depend on these intensive conditions:
Arrhenius rate with a pressure dependence. CO, NOₓ, unburned hydrocarbons and soot precursors do not reach equilibrium in a gas turbine, so finite-rate chemistry sets them. That is also why our model is a reactor network with finite-rate chemistry.
The absolute values still differ, because the combustors differ:
I compare the direction of the trends. CO falls and NOₓ rises with thrust in both engines, and these shared trends are what the comparison is for.
Controlled, repeatable testing of a JetCat P200-SX as a research platform. We run back-to-back fuel tests at selected operating points, with thermodynamic and emissions measurements under laboratory conditions.
Characterizing how conventional Jet A-1 and Fischer–Tropsch fuel (FT-SPK) change gaseous and particulate emissions. In the March 2026 back-to-back tests, FT-SPK gave lower EI CO₂ at all three speeds and lower EI NOₓ at 90 and 100% speed. The CO difference was within the measurement uncertainty. The separate GPPS test at maximum thrust measured a 0.5% CO increase.
A physics-based chemical reactor network (CRN), built at TU Braunschweig, solves finite-rate chemistry in idealized reactors that represent the zones of a rich-quench-lean (RQL) combustor. My micro-turbojet measurements calibrate and test it.
The “micro-max / macro-idle” comparison: at maximum thrust, the micro-turbojet’s combustor-inlet conditions (OPR, \(T_{t3}\), \(p_{t3}\)) are close to those of an IAE V2500 at idle. It is one selected comparison point for the combustor inlet.
Measuring non-volatile particle size distributions behind a catalytic stripper, with size-dependent corrections for sampling-line and stripper losses. In the loss-corrected data, FT-SPK shifts the soot size distribution to smaller particles. The number maximum moves from about 4 nm to about 3 nm.
Fuel–turbulence–chemistry coupling in aircraft combustors, combustor-exit flow and turbine aerothermodynamics, and multiscale validation of sustainable propulsion. See my research interests. I also care about how contrails form, and about drop-in alternative aviation fuels.
Airliners and their engines stay in service for decades. Most jet fuel burned over the next few decades will therefore burn in engines that already exist. Most of the rest will burn in engines designed for conventional jet fuel. Any near-term cut in emissions has to work in those engines.
Aviation warms the climate through CO₂ and through non-CO₂ effects: contrail cirrus, NOₓ chemistry, and soot and sulfur aerosols. Lee et al. estimate that non-CO₂ effects are about two-thirds of aviation’s net effective radiative forcing, with contrail cirrus the largest single term [2]. The uncertainty in the non-CO₂ terms is large, but they are too big to ignore.
A drop-in fuel works in existing engines, aircraft and fuel systems without changes. Synthetic paraffinic kerosenes, such as Fischer–Tropsch fuel (FT-SPK), are one example. They can cut life-cycle CO₂ when they come from low-carbon feedstocks, and they contain almost no aromatics, which are the main source of soot.
A new fuel must show that it behaves like conventional jet fuel. ASTM D7566 sets the specification for synthetic blend components, and for most production pathways it limits the blend to 50% with conventional fuel [3]. ASTM D4054 sets the qualification process: fuel property tests, fit-for-purpose tests, then rig and engine tests [4]. The engine tests need large volumes of a fuel that is still scarce and expensive. That is a real bottleneck, and it is the gap a small, cheap, controlled engine can help fill.
A drop-in fuel meets the same specification, but it is not the same molecule mix. The differences matter:
On our micro-turbojet in the March 2026 campaign, FT-SPK used 5.0% more fuel by volume at 100% speed (8.5% more at 80%). By mass, it used about 1.5% less at 100% speed [6].
In the separate GPPS test at maximum thrust, FT-SPK lowered EI CO₂ by 1.7% and EI NOₓ by 4%. EI CO rose by 0.5%. Soot mass, computed with a unit effective density, fell by 72% [5].
The measured soot particle number rose by 38%. That increase comes only from the smallest, most strongly loss-corrected size bins. Across almost the whole size range, the FT-SPK distribution was lower [5].
Particle number matters for contrails. For RQL engines, contrail ice crystal number has been shown to correlate with the number of emitted nvPM particles [5]. A cut in soot mass does not by itself show a cut in ice nuclei. Our number result is the least certain part of the data, which is why this fuel effect needs careful, repeated measurement.