Fluid catalytic cracking of vacuum gas oil (full-combustion regenerator)

Sourced conceptual inventory per tonne of fresh feed: yields from a worked example of published FCC correlations, utilities and regenerator emissions as midpoints of EU REF BREF ranges, coke-burn CO2 from the coke's carbon, CH4 and N2O from IPCC defaults. Five co-products, unallocated. No flowsheet; not reviewed.

Calculation maturity: not assessedDesign maturity: Concept (research)Not independently reviewedRefiningReport a problem with this process
Research outputNot engineering advice and not an approved design: do not use it for construction, operation or safety decisions. What this means

Overview

Sourced conceptual inventory per tonne of fresh feed: yields from a worked example of published FCC correlations, utilities and regenerator emissions as midpoints of EU REF BREF ranges, coke-burn CO2 from the coke's carbon, CH4 and N2O from IPCC defaults. Five co-products, unallocated. No flowsheet; not reviewed.

Capacity
per tonne of fresh feed (the dataset's basis); no plant size

What goes in and out

In

  • Vacuum gas oilFeedstock
  • AirFeedstockregenerator air, free; the oxygen burnt with the coke is feed:O2

Out

Utilities: Electricity, Steam (gross, pressure not stated by the source; the steam the unit raises is not credited), Cooling water

Show in the process graph

Life cycle assessment

No footprint assessed yet; the process is part of the life-cycle inventory below.

In the LCI database: system model, datasets and KPIs against the benchmarks

In the LCI database

Status
Preliminary 3 unmapped exchanges. Some exchanges have no background mapping yet: they are exported unlinked and count no burden, so the inventory is incomplete.
System model
attributional, cut-off (methodology 1.1.0)
Allocation
energy (physical-energy, from mappings) · product:dry-gas 5.8 %, product:gasoline 49.4 %, product:heavy-cycle-oil 7.4 %, product:light-cycle-oil 21.1 %, product:lpg 16.3 %
Allocation findings
none
Change report
Not available: this build has no change report against an earlier release.
Dataset pages
FCC dry gas (H2, C1, C2, with the H2S), to the refinery fuel gas system Preliminary · FCC gasoline (cracked naphtha), FCC gasoline (C5+, cracked naphtha) Preliminary · Heavy cycle oil and slurry oil, Heavy cycle oil and slurry (main fractionator bottoms) Preliminary · Light cycle oil (LCO) Preliminary · Liquefied petroleum gas (LPG), FCC C3/C4 cut (LPG, olefinic; propylene not split off) Preliminary

KPI benchmark positions

KPIValueReference rangePosition
Liquid products (C3/C4 cut, gasoline, light and heavy cycle oil) per mass of FCC fresh feed
No open range independent of the dataset found (2026-11-05). Jechura (2019, CBEN 409 course notes, Colorado School of Mines, slide 15) says mass liquid yields are usually 90 to 93 %, but the dataset's dry-gas and coke yields, which fix its liquid yield, come from the worked example of the same notes (slide 16). The REF BREF gives no FCC yield range.
– kg/kgnot availablenot evaluated
CO2 from the regenerator per t of FCC fresh feed– kg/t160 to 220 kg/tnot evaluated
Electricity per t of FCC fresh feed
No open per-tonne range independent of the dataset found (2026-11-05). The REF BREF range (Table 3.33, 8 to 50 kWh/t for FCC) is the dataset's own source; US DOE (2007, Table 4-9) and PRELIM v1.0 give figures per barrel (file comment).
– kWh/tnot availablenot evaluated
Particulates from the regenerator per t of FCC fresh feed
No open range independent of the dataset found (2026-11-05). The REF BREF's sample of 20 EU FCC units (Table 3.37, 0.015 to 0.100 kg/t, average 0.040) is the dataset's own source.
– kg/tnot availablenot evaluated

Maturity and review

Design maturity Concept (claimed): An idea or first flowsheet; numbers are rough. No independent engineering review yet. Automated checks passing is not a review.

Calculation maturity, from the checked evidenceNot assessed

The process has no maturity report (cheme maturity, checks/maturity.json), so no calculation maturity is established.

No level shownThe design maturity (Concept) is the manifest's claim, not evidence. A level appears here once the process's repository holds a current report from cheme maturity --write.

Artifact completeness

Which deliverables exist. They never raise a calculation maturity level: a drawing from unchecked numbers is still unchecked.

Not reported without a maturity report.

Independent review

Not independently reviewed

No independent engineering review yet. Automated checks passing is not a review.

Set by people only. Reaching a calculation maturity level or passing automated checks is not an independent review or an approval.

Where the evidence comes from
Report
processes/fcc-1/checks/maturity.json (not in the library)
Method
How ChemE-as-Code checks the levels (requirement by requirement)

Open items

Sources

Library version
a3c52e4 (process last changed in a3c52e4)
Data
Catalog record (JSON) · CC-BY-4.0
Files
View the files on GitHub · change history and authors

References

How to cite

For the data, cite the Process Atlas paper; for the platform that builds and checks it, the ChemE-as-Code paper.

Schweidtmann, A. M. & Weber, J. M. (2026, in preparation). Process Atlas: an open, git-native, reproducible library and life cycle inventory of chemical processes (working title).

For this process: "Fluid catalytic cracking of vacuum gas oil (full-combustion regenerator)", ChemE-as-Code process library, version a3c52e4.

BibTeX
@unpublished{schweidtmann_process_atlas,
  author = {Schweidtmann, Artur M. and Weber, Jana M.},
  title = {{Process Atlas: an open, git-native, reproducible library and life cycle inventory of chemical processes (working title)}},
  year = {2026},
  url = {https://atlas.cheme-as-code.org},
  note = {in preparation}
}

Schweidtmann, A. M. (2026). ChemE-as-Code: An Open-Source Platform for Agentic AI in Chemical Engineering. arXiv:2611.07947. https://doi.org/10.48550/arXiv.2611.07947

BibTeX
@misc{schweidtmann_cheme_as_code,
  author = {Schweidtmann, Artur M.},
  title = {{ChemE-as-Code: An Open-Source Platform for Agentic AI in Chemical Engineering}},
  year = {2026},
  eprint = {2611.07947},
  archivePrefix = {arXiv},
  doi = {10.48550/arXiv.2611.07947},
  url = {https://arxiv.org/abs/2611.07947}
}