Glacial acetic acid to storage

Activity Acetic acid by low-water iridium methanol carbonylation (60 t/h glacial acid, concept), GLO: the inventory of 1 kilogram of its reference product, attributional, cut-off.

Calculation maturity: not assessed Design maturity: Concept (research)Not independently reviewedacetic-acid-1:acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water:product:HACPreliminaryReport 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 Acetic acid by methanol carbonylation (60 t/h glacial acetic acid, Ir/Ru low-water), case design, derived from the flowsheet by cheme assess lca.

Reference product: 1 kilogram of Glacial acetic acid to storage (4 bar(a), 40 degC, 99.7659 % CH3COOH (mole))
Chemical: acetic-acid
CAS: 64-19-7
Code: acetic-acid-1:acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water:product:HAC
Dataset: acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water version 0.1.0 · UUID 1a400de6-6558-5f68-9058-97616822c7d8
Activity UUID: not available (the library assigns none; use the code)
Database: cheme-as-code-atlas-preview-c3ab348 (version preview-c3ab348)
Process: Acetic acid by low-water iridium methanol carbonylation (60 t/h glacial acid, concept)
Geography: GLO · background inputs with a site rule link at the user's site location (default DE)
Time period: 2026 · valid until 2031
Technology: Low-water (6 wt%) Ir/Ru methanol carbonylation at 463 K and 2900 kPa(a), adiabatic flash, light-ends / drying / heavy-ends distillation, methanol vent scrubbing; 60 t/h glacial acetic acid · level current
Boundary: gate-to-gate foreground of the plant
Production volume: 504,000,000 kg/a (product:HAC per hour x operation.hours_per_year (8400 h/a))
Classification: ISIC Rev.4 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: none, 100 % of the dataset to this product (rule single-output, from study)
one product: nothing to allocate
Rights: CC-BY-4.0: the ChemE-as-Code process library's own concept design (LICENSE-DATA)

Exchanges per 1 kilogram of Glacial acetic acid to storage

As exported: allocated and scaled to the reference product. Provenance: 8 assumed. Pedigree scores (1 best, 5 worst): reliability, completeness, temporal correlation, geographical correlation, further technological correlation.

Preliminary5 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.

Input	Amount	Unit	Provenance	Pedigree	Linked to
Methanol, Grade AA (from methanol-1) feed:MEOH S01, methanol (methanol-1 product S18) at 300 kPa(a) (D-005) From stream S01	0.539	kilogram	assumed	4 4 1 3 3	unlinked 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
Carbon monoxide gas (from a syngas cold box outside the boundary) feed:COGAS S03, CO feed gas (D-005) From stream S03	0.488	kilogram	assumed	4 4 1 3 3	unlinked 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
Methyl iodide make-up (iodide promoter) feed:MEI S04, methyl iodide make-up (D-007) From stream S04	2.667e-6	kilogram	assumed	4 4 1 3 3	unlinked 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
Electric power feed:POWER Q01, Q02, Q06, Q09, Q12: pumps only (D-010). KNOWN UNDERESTIMATE: no reactor agitation, scrubber, vacuum, cooling-water or tank-farm power, and no CO compression (outside the boundary) electricity From streams Q01, Q02, Q06, Q09, Q12	0.007883	kilowatt hour	assumed	4 4 1 3 3	market for electricity, medium voltage (electricity, medium voltage, DE, site location) in your background (default ecoinvent-3.11-cutoff)
MP steam 1100 kPa(a) feed:MPS Q04, Q07, Q10: column reboilers, shortcut estimate (D-008) steam, MP, 184.05 degC, 11 bar(a) From streams Q04, Q07, Q10	0.4518	kilowatt hour	assumed	4 4 1 3 3	Atlas: heat from steam, per kWh (Atlas unit proxy) (heat from steam, by energy, GLO)
Scrubbed off-gas to the site flare / thermal oxidiser product:OFFGAS S23, scrubbed off-gas (D-007) From stream S23	0.02568	kilogram	assumed	4 4 1 3 3	unlinked 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
Heavy ends (propionic acid in acetic acid) to incineration product:HEAVY S22, heavy-ends bottoms (D-009) From stream S22	0.00135	kilogram	assumed	4 4 1 3 3	unlinked 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
Cooling water return product:CW Q03, Q05, Q08, Q11: reactor cooler, column condensers and product cooler, shortcut estimate (D-008) cold, 25 degC From streams Q03, Q05, Q08, Q11	1.092	kilowatt hour	assumed	4 4 1 3 3	Atlas (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

No elementary flows are exported for this activity (pass-through emissions and free inputs are left out, see the caveats).

The streams are the plant's own flows: an amount here is allocated and per 1 kilogram of Glacial acetic acid to storage, 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/acetic-acid-1/lca/dataset.yaml in library version c3ab348.

Used by

Acetic anhydride 99.5 wt% to storage acetic-anhydride-1:acetic-anhydride-by-acetic-acid-cracking-to-ketene-50-kt-a-concept:product:AC2O
Hydrazine hydrate (64 wt% N2H4) hydrazine-1:hydrazine-hydrate-by-the-peroxide-pcuk-methyl-ethyl-ketazine-process:product:HH

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

cheme-as-code-atlas-preview-c3ab348.xlsx · bw2io ExcelImporter workbook (bw2io 0.9 Excel layout) · the whole database
code acetic-acid-1:acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water:product:HAC
cheme-as-code-atlas-preview-c3ab348-olca-jsonld.zip · openLCA JSON-LD (olca-schema) (2) · the whole database
process 1a400de6-6558-5f68-9058-97616822c7d8 (processes/1a400de6-6558-5f68-9058-97616822c7d8.json)
cheme-as-code-atlas-preview-c3ab348-multifunctional.json · Brightway 2.5 multifunctional database (JSON, for the multifunctional package) (cheme-as-code/lci-multifunctional/v1) · the whole database
code acetic-acid-1:acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water:product:HAC
cheme_as_code_lci-0.1.0-py3-none-any.whl · the installer

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", "acetic-acid-1:acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water:product:HAC"))

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

Glacial acetic acid to storage, from Acetic acid by low-water iridium methanol carbonylation (60 t/h glacial acid, concept) (dataset acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water 0.1.0), ChemE-as-Code Process Atlas LCI database preview-c3ab348, activity acetic-acid-1:acetic-acid-by-methanol-carbonylation-60-t-h-glacial-acetic-acid-ir-ru-low-water:product:HAC. 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}
}