e-Fuels (Power-to-Liquids): rWGS + Fischer-Tropsch — a PENG-ROBINSON process flowsheet
The Power-to-Liquids / e-SAF pathway: captured CO₂ and green hydrogen are converted to synthetic hydrocarbons. A reverse water-gas-shift reactor turns CO₂ + H₂ into CO + H₂O (solved to real chemical equilibrium), the water is knocked out, and the syngas feeds a Fischer-Tropsch reactor that builds a whole hydrocarbon slate via the Anderson-Schulz-Flory chain-growth law. The single knob that sets the product spectrum is the chain-growth probability alpha (here 0.90): a high alpha shifts the slate toward diesel/wax, a low alpha toward LPG/naphtha — the reactor distributes the reacted carbon across n-paraffins C₁..C₈ (the tail lumped as C₈ wax) with exact C/H/O atom balances, so it conserves atoms wherever the distribution is cut.
Modeling assumptions & limitations
- 1(see): this is the standard **yield/selectivity** FT model (ASF + specified CO conversion), not a mechanistic kinetic or slurry/fixed-bed hydrodynamic model; olefin/oxygenate co-products aren't split out (paraffins + water only); the raw syncrude effluent is delivered as-is (a real plant recycles the H₂-rich tail gas and fractionates the liquid — shown here as the reactor product, not a finished fuel cut); and the rWGS Keq is the representative high-temperature equilibrium magnitude.
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- Rigorous PENG-ROBINSON thermodynamics, solved by the same engine every simulation runs on.
- 4 unit operations modeled: RWGS, 2× HEAT, KO, FT.
- Focus areas: e-fuels, Power-to-Liquids, Fischer-Tropsch, ASF distribution, e-SAF.
- Thermodynamics
- PENG-ROBINSON
- Components
- co2, h2, co, water, methane, ethane, propane, n_butane, n_pentane, n_hexane, n_heptane, n_octane
- Unit operations
- RWGS2× HEATKOFT
Opens in a new tab, loaded straight into the app — no setup.
Read the step-by-step guideReproduce this exact result from Python — the real client.get_example() → run_and_wait() path, not a mockup.
from flowsim.sdk import FlowSimClient
client = FlowSimClient()
example = client.get_example("e-fuels-power-to-liquids")
sim = client.create_simulation(example["title"], example["flowsheet"])
result = client.run_and_wait(sim["id"])
print(result["status"]) # "converged"
streams = client.streams(sim["id"])Related models
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