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Overview

General comment

Production covered

Single-mode optical fiber (ITU-T G.652.D) production: Outside Vapor Deposition preform fabrication, high-speed drawing, and in-line dual-layer UV-cured acrylate coating. The functional unit is one kilometer of finished coated fiber. Every quantity on this dataset is per kilometer of fiber - not per meter, per spool, or per finished cable - and the declared product mass is the mass of that one kilometer.

Modelling choices

A consuming dataset must convert its own fiber length to kilometers before scaling this inventory.

Technology
Optical fiber production - OVD preform, high-speed draw, dual-layer UV-cured acrylate coating
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - Optical Fiber SinglemodeSystem boundary figure: identity, gate in, entering flows, the dashed system boundary and the unit processes inside it, the reference product, emissions and waste, and below it the flows that are recorded but not quantified. No inventory quantities.Optical Fiber SinglemodeGATE INSub-component procurementENTERING FLOWSElectricityWaterProcess gasesProcess chemicalsMaterialsSYSTEM BOUNDARYMODELLED PROCESS SEQUENCEProcess sequencePreformPreform area facilityDraw lineCoatingDraw area facilityPost drawREFERENCE PRODUCTOptical Fiber SinglemodeFinal assemblyEMISSIONS AND WASTEEmissions to airEmissions to waterWaste routesRECORDED BUT NOT QUANTIFIEDExclusions not yet characterisedNo exclusion record was found for this datasetNOT CHARACTERISEDsystem boundaryreference flowentering flowemission / waste

The figure groups this dataset's unit processes by class. It is not a count of manufacturing steps — each process runs over as many passes as the flow requires, and those pass counts ship with the dataset.

Download this figure (SVG)

Data quality and references

Composite DQI 2.3 Good
Reliability
3.5
Completeness
2.9
Temporal
3.1
Geographic
2.0
Technological
1.0
How the score is calculated: Constituent datasets have more influence when they contribute a larger share of the modelled cradle-to-gate energy demand.

Pedigree scores follow the ecoinvent data-quality matrix: 1 is the best attainable, 5 the weakest. The composite is their aggregate.

Sampling procedure
Component vendor specifications, academic papers, industry literature
Coverage status
Partial
Pedigree-scored source files
3 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.

Technosphere inputs

15 flows. Quantities are not published; they ship with the dataset on Circa.

Chlorine Materialkg · -75% / +150%
Derivation basis
  • Engineering estimate from glass chemistry

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
chlorine, liquid
Uncertainty
-75% / +150% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Germanium tetrachloride (GeCl4) Materialkg · ±50%
Source citations
  • Validated single-mode optical fibre reference inventory (PH5 research), reconciled to this process functional unit
Background data
proxy-mapped
Background dataset
gallium, high-grade
Uncertainty
±50% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Helium Materialkg · -60% / +100%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
helium
Uncertainty
-60% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Hydrogen Materialkg · -50% / +100%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
hydrogen, gaseous, low pressure
Uncertainty
-50% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Ink/color coding Materialkg · ±66.7%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
proxy-mapped
Background dataset
methyl methacrylate
Uncertainty
±66.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Oxygen Materialkg · -50% / +100%
Derivation basis
  • Engineering estimate from stoichiometry + excess

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
oxygen, liquid
Uncertainty
-50% / +100% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Primary coating (UV-cured urethane acrylate, soft) Materialkg · ±21.7%
Source citations
Background data
proxy-mapped
Background dataset
methyl methacrylate
Uncertainty
±21.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Secondary coating (UV-cured urethane acrylate, hard) Materialkg · ±25%
Source citations
Background data
proxy-mapped
Background dataset
methyl methacrylate
Uncertainty
±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Silicon tetrachloride (SiCl4) Materialkg · -46.7% / +33.3%
Source citations
  • Validated single-mode optical fibre reference inventory (PH5 research), reconciled to this process functional unit
Background data
CarbonMinds
Background dataset
silicon tetrachloride
Uncertainty
-46.7% / +33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Electricity, China (CN) ElectricitykWh · -6.5% / +8.9%
Derivation basis
  • Calculated from equipment energy across all manufacturing operations. This model includes no facility support, so the total is the manufacturing operations alone.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
electricity, medium voltage
Uncertainty
-6.5% / +8.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
Process water WaterL · -40.1% / +120.3%
Derivation basis
  • Calculated from process-water and ultrapure-water demand across all manufacturing operations. This model includes no facility support, so the demand is the manufacturing operations alone. The fresh intake shown is that demand less the share reused under the water-recycling scenario this dataset assumes, and wastewater follows the same balance.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
tap water
Notes
Aggregated water demand of this dataset's production stages.
Uncertainty
-40.1% / +120.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
L
Helium (furnace atmosphere + cooling) Process gasg · -90% / +200%
Source citations
Background data
ecoinvent 3.12
Background dataset
helium
Uncertainty
-90% / +200% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Argon (furnace atmosphere, modern) Process gasg · -100% / +390%
Source citations
Background data
ecoinvent 3.12
Background dataset
argon, liquid
Uncertainty
-100% / +390% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Nitrogen (UV cure inerting) Process gasg · -62.5% / +87.5%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
nitrogen, liquid
Uncertainty
-62.5% / +87.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Natural gas, burned in industrial furnace (facility heating, low-NOx) Process chemicalMJ · -7.5% / +55.9%
Source citations
Background data
ecoinvent 3.12
Background dataset
heat production, natural gas, at industrial furnace low-NOx >100kW
Uncertainty
-7.5% / +55.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
MJ

Outputs and waste

Wastewater Wastewaterm3 · -40.1% / +120.3%
Derivation basis
  • Calculated from the water balance: fresh-water input minus evaporation.

No source is attached to this row.

Source citations
Not stated
Background data
carried, no background dataset
Background dataset
No treatment route recorded for this output.
Uncertainty
-40.1% / +120.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
m3
Soot scrap (un-deposited SiO2) Solid wasteg
Derivation basis
  • Mass-balance closure on this file's own precursor, product and deposition-split rows

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
No range defined.
Unit
g
Scrubber sludge (HCl neutralization) Solid wasteg
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

The sources below are this dataset's own bibliography. They are not tied to this row.

Source citations (dataset-level)
Inherited from this dataset's own bibliography, not tied to this row:
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, underground deposit
Uncertainty
No range defined.
Unit
g
Fiber scrap (start-up + excursions) Solid wasteg
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

The sources below come from the manufacturing operations behind this row.

Sources (inherited)
Inherited, rolled up from the contributing process steps:
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of inert waste, sanitary landfill
Uncertainty
No range defined.
Unit
g
Coating waste (purge, drips, start-up) Solid wasteg
Derivation basis
  • Calculated from the mass balance of spent materials and consumables, with treatment selected from the waste classification.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12 treatment route
Background dataset
treatment of hazardous waste, hazardous waste incineration, with energy recovery
Uncertainty
No range defined.
Unit
g

Emissions to air

2 elementary flows released to air by this dataset's own operations. Quantities are not published; they ship with the dataset on Circa.

Hydrogen chloride (from scrubber) Emission to airg
Source citations
  • US Patents 6923024 and 4608070 (vapor-deposition preform manufacture and precursor/deposition context only); wet scrubbing is an industry-practice DECLARED ESTIMATE
Compartment
Air (non-urban air or from high stacks)
Formula
HCl
CAS number
7647-01-0
ecoinvent 3.12 elementary flow
Hydrochloric acid
Uncertainty
No range defined.
Unit
g
VOCs Emission to airg
Source citations
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
No range defined.
Unit
g

Emissions to water

2 elementary flows released to water by this dataset's own operations. Quantities are not published; they ship with the dataset on Circa.

Chloride Emission to waterg
Derivation basis
  • Stoichiometric from SiCl4 + GeCl4 + Cl2 inputs; US Patents 6923024 and 4608070 support vapor-deposition preform manufacture and precursor/deposition context only; wet scrubbing is an industry-practice DECLARED ESTIMATE

No source is attached to this row.

Source citations
Not stated
Compartment
Water (surface water)
Formula
Cl-
CAS number
16887-00-6
ecoinvent 3.12 elementary flow
Chloride
Uncertainty
No range defined.
Unit
g
Suspended silica Emission to waterg
Derivation basis
  • Mass-balance closure on this file's own precursor, product and deposition-split rows

No source is attached to this row.

Source citations
Not stated
Compartment
Water (surface water)
ecoinvent 3.12 elementary flow
Suspended solids, unspecified
Uncertainty
No range defined.
Unit
g

Flows not quantified

No flows are recorded for this dataset without a quantity.

Limitations and unquantified flows (2)

Limits this dataset declares about itself: first any limit stated in its own description, then any limit it declares flow by flow, grouped by channel. Each entry below is the model's own disclosure.

  • The glass scrapped at the draw tower is reported as waste but is not added to the glass the preform stage must supply: the preform inventory is stated for exactly the glass that reaches the finished fiber. The silicon balance therefore closes at the preform and carries this small drawn-glass loss outside it.
  • Electricity and water on this dataset are about 0.3 and 1.6 percent higher than the totals computed for the manufacturing stages, because the stages taken from separate process inventories are reported per unit of saleable output while the plant-area allocations are reported as measured. The difference is a reporting convention, not additional consumption, and it is smaller than the uncertainty on either figure.

The flows above are this dataset's own records. What follows are the scope rules set once for the whole database in the methodology report, repeated here so every dataset page carries them.

Database-wide boundary policy — applies to every REEL dataset

These boundaries are set once for the whole database, in Chapter 2 of the methodology report, and apply to this dataset wherever they are relevant to it. The excluded flows listed above are specific to this dataset.

Use phase
Product operation is outside the cradle-to-gate scope.
End-of-life treatment
Recycling and disposal are outside the cradle-to-gate scope.
Distribution and retail
The gate is a finished component ready for integration into a higher-level assembly.
Inbound transport of raw materials
Transport of purchased raw materials to the manufacturing facility is already inside the upstream "market for" datasets that users link to a background database, so it is not modelled a second time here. This does not cover freight between REEL production stages, which is modelled where a dataset authors it.
Returnable shipping containers
Where freight between production stages is modelled, the mass moved is the product itself. The shipping container (FOSB, SEMI M31) is returnable capital equipment whose per-trip share is unsourced, so its tare is excluded from the transport effort.
Photomask fabrication
A mask set's embodied burden is amortised across a high-volume production run and is not attributed per wafer. Users assessing low-volume production should add mask fabrication separately; the methodology report gives the basis for the exclusion.
Employee transport, administration and R&D overhead
Employee transportation, facility administration and R&D/pilot-production overhead are outside scope.
Capital goods
Manufacturing equipment, cleanroom construction and facility infrastructure are excluded, on the grounds of absent public data on equipment embodied energy, uncertainty in equipment lifetime and allocation, common practice in electronics LCA, and a focus on the operational inventory. Future versions may include capital goods when sufficient public data becomes available.
Precious metal recovery credits
Scrap recovery credits for precious metals are excluded pending data availability.
Wafer reclaim
Test wafers and scrap are outside the system boundary.

Inside the boundary, linked rather than modelled

Silicon ingot growth and wafer slicing
Inside the cradle-to-gate scope, but treated as upstream material inputs linked to background databases rather than modelled as REEL processes.
Freight between production stages
Where a dataset's product moves between REEL production stages - wafer fabrication to the packaging site, for example - that leg is authored as a transport service and linked to an ecoinvent freight activity. It is measured as a transport effort in tonne-kilometres, not as a mass. Route distances are authored per route class with a stated band; a lower bound of zero is a modelling statement that the two sites can be co-located, not a missing value.

Cut-off criteria

A flow is excluded from a process inventory when it contributes less than 1 % of the total mass of inputs to that unit process, or less than 1 % of its total energy input. The denominator is total process inputs, not product mass. That distinction matters in semiconductor manufacturing, where the input mass of water, chemicals and gases greatly exceeds the product mass, so the threshold removes only genuinely minor flows.

Included regardless of the cut-off

  • Perfluorocarbons (CF4, C2F6, SF6, NF3) - high GWP, EPA regulated
  • Heavy metals (Pb, Cd, Hg, Cr(VI)) - RoHS regulated, high toxicity
  • Volatile organics (photoresist solvents, PGMEA) - air quality
  • Precious metals (Au, Ag, Pd, Pt) - high embodied impacts
  • Ozone-depleting substances (legacy CFCs, HCFCs) - Montreal Protocol