Phenol product

Activity Acetone and phenol from cumene (cumene hydroperoxide route, 200 kt/a phenol), GLO: the inventory of 1 kilogram of its reference product, attributional, cut-off.

Calculation maturity: not assessed Design maturity: Concept (research)Not independently reviewedacetone-1:phenol-and-acetone-from-cumene-cumene-hydroperoxide-route:product:PHENOLPreliminaryReport a problem with this dataset
Research outputAn inventory from a research design at the design maturity its process states, not verified plant data: check its calculation maturity and review status before use. Background activities are referenced by name only; no background data is included. All caveats

What it is

Unallocated foreground LCI of Phenol and acetone from cumene (cumene hydroperoxide route), case design, derived from the flowsheet by cheme assess lca.

Reference product
1 kilogram of Phenol product (3 bar(a), 60 degC, 100 % PHEN (mass))
Chemical
phenol
CAS
108-95-2
Code
acetone-1:phenol-and-acetone-from-cumene-cumene-hydroperoxide-route:product:PHENOL
Dataset
phenol-and-acetone-from-cumene-cumene-hydroperoxide-route version 0.1.0 · UUID 221769aa-2c36-516c-b750-55e928d8a00f
Activity UUID
not available (the library assigns none; use the code)
Database
cheme-as-code-atlas-preview-c3ab348 (version preview-c3ab348)
Process
Acetone and phenol from cumene (cumene hydroperoxide route, 200 kt/a phenol)
Geography
GLO · background inputs with a site rule link at the user's site location (default DE)
Time period
2026 · valid until 2031
Technology
cumene air oxidation (dry, 500 kPa(a)), vacuum CHP concentration to 80 wt%, sulfuric acid cleavage, caustic neutralisation, four-column fractionation, AMS hydrogenation to cumene; 200 kt/a phenol, 126 kt/a acetone, concept design · level current
Boundary
gate-to-gate foreground of the plant
Production volume
125,740,320 kg/a (product:ACETONE per hour x operation.hours_per_year (8000 h/a))
Classification
ISIC Rev.4 1920, 2011 (taxonomy/families.yaml (ISIC Rev.4) of the process's families)
System model
attributional, cut-off (docs/system-model.md, methodology 1.1.0)
Allocation
mass, 61.4 % of the dataset to this product (rule deviation, from study)
Economic allocation (common for this co-product pair) is not applied: no prices at the concept stage. System expansion is not applied: neither product is made by an alternative route at scale that could be credited without its own study (phenol without acetone has no commercial route in Europe, LVOC 8.2.1).
Rights
CC-BY-4.0: the ChemE-as-Code process library's own concept design (LICENSE-DATA)

Exchanges per 1 kilogram of Phenol product

As exported: allocated and scaled to the reference product. Provenance: 13 assumed. Pedigree scores (1 best, 5 worst): reliability, completeness, temporal correlation, geographical correlation, further technological correlation.

Preliminary2 exchanges are not yet linked to a background dataset. They count no burden, so the inventory is incomplete: do not read a result from it as complete.
InputAmountUnitProvenancePedigreeLinked to
Fresh cumene (from a cumene unit)
feed:CUM
fresh cumene S01 (D-001)
From stream S01
0.8163kilogramassumed4 4 1 3 3unlinked
unlinked, no technosphere mapping: no mapping (no chemical slug or factor id); add it to lci/mappings.yaml technosphere or to the process's lca/mappings.yaml exchanges
Hydrogen (hydrogen-1 or site header)
feed:H2F
hydrogen S26 (D-008)
From stream S26
5.886e-4kilogramassumed4 4 1 3 3market for hydrogen, gaseous, low pressure (hydrogen, gaseous, low pressure, RER) in your background (default ecoinvent-3.11-cutoff)
Sulfuric acid 98 wt%
feed:ACID
sulfuric acid S12 (D-007)
From stream S12
0.002505kilogramassumed4 4 1 3 3market for sulfuric acid (sulfuric acid, RER) in your background (default ecoinvent-3.11-cutoff)
Caustic soda 50 wt% (chlor-alkali-1)
feed:NAOH50
caustic soda S14 (D-007)
From stream S14
0.004005kilogramassumed4 4 1 3 3Atlas (pinned): Chlor-alkali by membrane-cell electrolysis (100 kt/a Cl2, 50 wt-% caustic soda, hydrogen) (Sodium hydroxide, Caustic soda 50 wt-% to storage, GLO)
compatible: grade the input names no chemical only; sodium-hydroxide (Sodium hydroxide, Caustic soda 50 wt-% to storage) is taken; unit kilogram; system model cutoff (one database); allocation shares (deviation); boundary plant gate (pinned): no distribution or losses; the consumer's dataset counts its delivery
Process water
feed:PW
wash water S30 (D-007)
From stream S30
0.02456kilogramassumed4 4 1 3 3market for water, deionised (water, deionised, RoW) in your background (default ecoinvent-3.11-cutoff)
Electric power
feed:POWER
air compressor and vacuum/pump shares Q01-Q03 (D-011)
electricity
From streams Q01, Q02, Q03
0.1167kilowatt hourassumed4 4 1 3 3market for electricity, medium voltage (electricity, medium voltage, DE, site location) in your background (default ecoinvent-3.11-cutoff)
LP steam 500 kPa(a)
feed:LPS
CHP concentration Q04 (D-011)
steam, LP, 151.83 degC, 5 bar(a)
From stream Q04
0.2337kilowatt hourassumed4 4 1 3 3Atlas: heat from steam, per kWh (Atlas unit proxy) (heat from steam, by energy, GLO)
MP steam 1800 kPa(a)
feed:MPS
fractionation reboilers Q05-Q08 (D-011)
steam, MP, 207.15 degC, 18 bar(a)
From streams Q05, Q06, Q07, Q08
0.6196kilowatt hourassumed4 4 1 3 3Atlas: heat from steam, per kWh (Atlas unit proxy) (heat from steam, by energy, GLO)
Tar and acetophenone to fuel
product:TAR
tar and acetophenone S25 (D-009)
From stream S25
0.02863kilogramassumed4 4 1 3 3unlinked
unlinked, no technosphere mapping: no mapping (no chemical slug or factor id); add it to lci/mappings.yaml technosphere or to the process's lca/mappings.yaml exchanges
Aqueous effluent to waste water treatment
product:WW
brine S16 and acetone column bottoms S21 (D-008, D-009); a LOWER BOUND (64 kg/t phenol against S1 8.3.5 water 1-4 t/t): cleavage dilution water, cumene caustic wash and phenol recovery are not modelled (D-016, I-11)
From streams S16, S21
0.03936kilogramassumed4 4 1 3 3Atlas (plant): wastewater to treatment, per kg (Atlas unit proxy) (wastewater, by mass, GLO)
compatible: grade the input names wastewater only; wastewater (Wastewater treated) is taken; unit kilogram; system model cutoff (one database); allocation mass (single-output); boundary plant gate of a site utility: no utility market yet (docs/markets.md)
Cooling water return
product:CW
heat to cooling water Q09-Q18 (D-011)
cold, 25 degC
From streams Q09, Q10, Q11, Q12, Q13, Q14, Q15, Q16, Q17, Q18
1.543kilowatt hourassumed4 4 1 3 3Atlas (plant): cooling water service, per kWh heat rejected (Atlas screening proxy) (heat rejected to cooling water, GLO)
compatible: grade the input names cooling-water only; cooling-water (Heat rejected to cooling water, 25/35 degC) is taken; unit kilowatt hour; carrier cold, 25 degC from cold, 25 degC; system model cutoff (one database); allocation mass (single-output); boundary plant gate of a site utility: no utility market yet (docs/markets.md)

Elementary flows

FlowDirectionCompartmentAmountUnitProvenancePedigree
Cumene
a192f5ac-fb5d-4e14-ac11-3c38283da9d0
From streams S08, S28
emissionair2.971e-5kilogramassumed4 4 1 3 3
Hydrogen
no biosphere3 UUID: linked by name and compartment
From streams S08, S28
emissionair5.523e-5kilogramassumed4 4 1 3 3

The streams are the plant's own flows: an amount here is allocated and per 1 kilogram of Phenol product, so it differs from the stream's flow, and it can sum several streams.

Where these numbers come from: each exchange names its source above; the dataset is processes/acetone-1/lca/dataset.yaml in library version c3ab348.

Used by

No other activity of this database links to it.

How good it is

Review
Not reviewed: no LCI review record yet
Data quality
DQR 2.33 · PEF-style DQR 2.75
TeR 3 · GeR 3 · TiR 1 · P 4 · C 4 · weakest TeR · primary data 0 %
Mass and carbon closure
Assessed (lca/manifest.json balance, tolerance 5 %: design maturity concept (sourced screening))
  • lci-carbon-origin: closed
  • lci-element-balance: closed
  • lci-mass-balance: closed
Change report
Not available: this build has no change report against an earlier release.

KPI benchmark positions

Not available: no benchmarked KPI for this dataset.

How to use it

Downloads

A file with this activity alone is not available: each file above is the whole database, and the line under it says how to find this activity there.

import bw2data as bd
from cheme_as_code_lci import install

bd.projects.set_current("my-project")   # holds your licensed background + biosphere3
install("cheme-as-code-atlas-preview-c3ab348.xlsx", background="ecoinvent-3.11-cutoff", location="DE")
activity = bd.get_activity(("cheme-as-code-atlas-preview-c3ab348", "acetone-1:phenol-and-acetone-from-cumene-cumene-hydroperoxide-route:product:PHENOL"))

While any exchange of the database has no mapping, install() writes nothing and only lists the unlinked exchanges. So the last line finds no activity until the gaps are mapped: the download section gives the ways to use the database now.

How to cite

Phenol product, from Acetone and phenol from cumene (cumene hydroperoxide route, 200 kt/a phenol) (dataset phenol-and-acetone-from-cumene-cumene-hydroperoxide-route 0.1.0), ChemE-as-Code Process Atlas LCI database preview-c3ab348, activity acetone-1:phenol-and-acetone-from-cumene-cumene-hydroperoxide-route:product:PHENOL. Cite the Process Atlas paper (in preparation, 2026), by Artur M. Schweidtmann and Jana M. Weber, and the ChemE-as-Code Process Atlas LCI database version preview-c3ab348.

DOI: none yet (the Process Atlas paper is in preparation)

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).

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, in preparation). ChemE-as-Code: An Open-Source Platform for AI-Accelerated Chemical Process Engineering (working title).

BibTeX
@unpublished{schweidtmann_cheme_as_code,
  author = {Schweidtmann, Artur M.},
  title = {{ChemE-as-Code: An Open-Source Platform for AI-Accelerated Chemical Process Engineering (working title)}},
  year = {2026},
  url = {https://cheme-as-code.org},
  note = {in preparation}
}