District-heating stratified thermal store (charge and discharge) — a STEAM process flowsheet
A stratified hot-water thermal energy store on a district-heating loop, shown at one operating point in both directions. The charge leg sends 90 °C supply water through the store, which is standing at four layers of 350 / 335 / 320 / 305 K (hottest on top): the water exhausts in contact with the coldest layer and leaves at 305 K, so the whole 85 K drop goes into the store. The discharge leg draws 30 °C network return through the same store and takes it from the hottest layer, leaving at 350 K. That asymmetry is the entire reason to stratify — a fully mixed store holding the same energy would deliver its 328 K average. The blocks report the stored energy above the 300 K floor, the state of charge over the 300-360 K window, the standing loss through an 80 W/K vessel, and the time to full or empty at the current net rate. Honest scope: this is a steady-state picture — the store's layers do not move within a solve, and the two legs are drawn as separate blocks on one store. The transient (how far the thermocline travels over a six-hour charge, and what outlet temperature the morning discharge actually delivers as the hot layers are consumed) is the Thermal energy storage analysis tool.
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- Rigorous STEAM thermodynamics, solved by the same engine every simulation runs on.
- 1 unit operations modeled: 2× Store Discharge.
- Focus areas: Thermal storage, District heating, Stratified tank, Energy storage.
- Thermodynamics
- STEAM
- Components
- water
- Unit operations
- 2× Store Discharge
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("district-heating-stratified-store")
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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