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LNG receiving and export terminal

LNG front end and storage: guard beds, tank boil-off, driver limit — a PENG-ROBINSON process flowsheet

The parts of a 5.2 Mtpa LNG train that are not the cold box, and the four questions they answer that no bulk unit can — at real capacity, so the vessel sizes and duties are ones an engineer can check against their own plant. Guard beds: a sulfur-carbon bed takes mercury from 200 to 0.01 µg/Nm³ — the brazed-aluminium limit, because mercury attacks the plate-fin cold box by liquid-metal embrittlement — on a 4.8 m x 6.6 m bed with 4.2 years of life from a capacity balance — inside the 3-5 year window these non-regenerable beds are actually replaced on, which is what a turnaround plan needs. A 4A molecular sieve then dries the gas to 0.1 ppmv, the only route to a cryogenic water spec (a glycol contactor tops out near a −30 °C dew point), on a 4.9 m x 5.1 m bed running a 13.8 h cycle for 1.3 MW of regeneration duty. Storage: the LNG goes to a tank whose boil-off rate comes from a 0.05%/day guarantee but whose boil-off composition comes from a real equilibrium flash — and that is the interesting part, because the vapour leaves at ~11 mol% nitrogen against 1.1% in the feed. Nitrogen and methane are far more volatile at 113 K, so the boil-off is light and the stored liquid weathers heavier: nobody specified that, the flash found it. Recondensing: the boil-off goes back into the send-out LNG rather than to a flare, and the unit reports the LNG:BOG ratio (1999) against the minimum the energy balance demands (3.8), which is the constraint a terminal is actually operated against. The driver: a gas turbine burning plant fuel gas, rated 97.5 MW at ISO conditions, delivers only 84.5 MW at 35 °C — 5.5 MW short of its 90 MW refrigeration load, and flagged as such. That derate is computed from two physical effects (a fixed-geometry compressor swallows a fixed volume so mass flow follows air density, and hotter air costs more to compress), not from a vendor curve, and it comes out at 0.66%/K — mid-band for industrial machines. It is why a tropical LNG train makes less product in summer.

Modeling assumptions & limitations

  1. 1Liquefaction here is a plain cooler standing in for a refrigeration train — the real C3MR cold box is 'c3mr-lng-liquefaction', and this showcase is about what surrounds it
  2. 2Mercury is a unit-op PARAMETER in µg/Nm³, not a thermo component, because at 1e-9 mole fraction it is meaningless to an equation of state
  3. 3The guard bed is a capacity model, not a breakthrough model, and the sieve is an equilibrium design model, not a dynamic one
  4. 4The tank is well-mixed and steady-state — for what happens when that assumption fails, see the LNG-rollover analysis tool.

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Sweet GAS
MRU
DEHY
Precool
Liquefy
JT
DRUM
END Flash
TANK
Sendout PUMP
BOG COMP
BOG
LNG
liquid
surplus
Recon
SEND OUT
Surplus BOG
FUEL
GT
GT Exhaust
What this showcases
  • Rigorous PENG-ROBINSON thermodynamics, solved by the same engine every simulation runs on.
  • 10 unit operations modeled: MRU, DEHY, 2× Liquefy, JT, DRUM, TANK, Sendout PUMP, BOG COMP, Recon, GT.
  • Focus areas: LNG, Mercury removal, Dehydration, Boil-off gas, Storage, Gas turbine, Cryogenics.
Specification
Thermodynamics
PENG-ROBINSON
Components
n2, methane, ethane, propane, water
Unit operations
MRUDEHY2× LiquefyJTDRUMTANKSendout PUMPBOG COMPReconGT
Open in workspace

Opens in a new tab, loaded straight into the app — no setup.

Read the step-by-step guide
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("lng-front-end-and-storage")
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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