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Illustrative WAO wastewater-treatment train

Wet air oxidation of phenolic wastewater — a PENG-ROBINSON process flowsheet

Liquid-phase oxidation of dissolved organics in wastewater by dissolved O₂ at elevated temperature/pressure (kept liquid, not flashed to steam) — a real, widely licensed generic technology (Zimpro and equivalents), not Linde-proprietary IP, so it's built directly from the real, exactly mass-balanced combustion reaction of a standard WAO test/design compound: phenol (C₆H₅OH + 7 O₂ → 6 CO₂ + 3 H₂O). Phenol is the compound most WAO literature uses as the reference organic for design/kinetic studies, not an arbitrary choice.

Modeling assumptions & limitations

  1. 1The 95% phenol destruction used here is representative of published WAO performance at adequate severity, not a fitted rate law — there is no cited kinetic model in MaximaLabs for phenol WAO, so (matching the fixed-conversion-reactor posture used throughout MaximaLabs when kinetics aren't available) this is a fixed-conversion reactor, not an Arrhenius rate expression.

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Wastewater FEED
O2 FEED
Preheat
MIX
WAO Reactor
COOL
Offgas SEP
OFF GAS
Treated Water
What this showcases
  • Rigorous PENG-ROBINSON thermodynamics, solved by the same engine every simulation runs on.
  • 4 unit operations modeled: 2× COOL, MIX, WAO Reactor, Offgas SEP.
  • Focus areas: Wet air oxidation, Wastewater treatment, Phenol, Liquid-phase oxidation.
Specification
Thermodynamics
PENG-ROBINSON
Components
phenol, oxygen, water, co2
Unit operations
2× COOLMIXWAO ReactorOffgas SEP
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Python SDK

Reproduce 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("wet-air-oxidation")
sim = client.create_simulation(example["title"], example["flowsheet"])
result = client.run_and_wait(sim["id"])

print(result["status"])              # "converged"
streams = client.streams(sim["id"])

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