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Overview

General comment

Serial ATA (SATA) and Serial Attached SCSI (SAS) connectors for storage device interconnects. SATA used in consumer SSDs and HDDs; SAS used in enterprise storage systems. Available in data-only, power-only, and combo configurations. SATA supports up to 6 Gbps; SAS supports up to 24 Gbps (SAS-4).

Technology
Storage Interface Connector, Serial Storage
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - SATA SAS ConnectorSystem 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.SATA SAS ConnectorGATE INRaw materials and sub-componentsENTERING FLOWSElectricityMaterialsSYSTEM BOUNDARYMODELLED UNIT PROCESSES, BY CLASSOtherConnector stampingConnector assemblyContact platingConnector Ni platingConnector Au platingConnector Sn platingTestConnector test packREFERENCE PRODUCTSATA SAS ConnectorAssembled and tested componentEMISSIONS 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 1.5 Very good
Reliability
2.6
Completeness
1.0
Temporal
1.7
Geographic
2.0
Technological
1.0

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
6 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.

Technosphere inputs

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

Electricity, China (CN) ElectricitykWh · -41.5% / +45.4%
Derivation basis
  • Calculated from equipment energy across all manufacturing operations. This model includes no facility support, so the total is the manufacturing operations alone.
  • REEL derivation: engineering estimate of connector and electromechanical component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class

The sources for this row are listed below.

Source citations (dataset-level)
  • SFF-8482 SAS Connector Specification
  • TE Connectivity SATA Connectors
  • Amphenol ICC SAS Connectors
Background data
ecoinvent 3.12
Background dataset
electricity, medium voltage
Uncertainty
-41.5% / +45.4% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
LCP GF30 Materialkg · -16.2% / +18.9%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.
  • REEL derivation: engineering estimate of connector and electromechanical component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class

The sources for this row are listed below.

Source citations (dataset-level)
  • SFF-8482 SAS Connector Specification
  • TE Connectivity SATA Connectors
  • Amphenol ICC SAS Connectors
Background data
proxy-mapped
Background dataset
glass fibre reinforced plastic, polyamide, injection moulded
Uncertainty
-16.2% / +18.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Phosphor Bronze C5191 Materialkg · -15.2% / +19.6%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.
  • REEL derivation: engineering estimate of connector and electromechanical component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class

The sources for this row are listed below.

Source citations (dataset-level)
  • SFF-8482 SAS Connector Specification
  • TE Connectivity SATA Connectors
  • Amphenol ICC SAS Connectors
Background data
ecoinvent 3.12
Background dataset
bronze
Uncertainty
-15.2% / +19.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Hard Gold (99.7% Au) Materialkg · -33.3% / +66.7%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.
  • REEL derivation: engineering estimate of connector and electromechanical component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class

The sources for this row are listed below.

Source citations (dataset-level)
  • SFF-8482 SAS Connector Specification
  • TE Connectivity SATA Connectors
  • Amphenol ICC SAS Connectors
Background data
proxy-mapped
Background dataset
gold
Notes
Proxy mapping uses 99.7% of the material mass.
Uncertainty
-33.3% / +66.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Nickel Materialkg · ±33.3%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.
  • REEL derivation: engineering estimate of connector and electromechanical component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class

The sources for this row are listed below.

Source citations (dataset-level)
  • SFF-8482 SAS Connector Specification
  • TE Connectivity SATA Connectors
  • Amphenol ICC SAS Connectors
Background data
ecoinvent 3.12
Background dataset
nickel, class 1
Uncertainty
±33.3% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Matte Tin Materialkg · -28.6% / +42.9%
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.
  • REEL derivation: engineering estimate of connector and electromechanical component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class

The sources for this row are listed below.

Source citations (dataset-level)
  • SFF-8482 SAS Connector Specification
  • TE Connectivity SATA Connectors
  • Amphenol ICC SAS Connectors
Background data
ecoinvent 3.12
Background dataset
tin
Uncertainty
-28.6% / +42.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg

Outputs and waste

Copper Alloy Contacts Solid wastekg · -15.2% / +19.6%
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
market for copper scrap, sorted, pressed
Uncertainty
-15.2% / +19.6% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Lcp PBT Runners Solid wastekg · -13.6% / +18.2%
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 inert waste, sanitary landfill
Uncertainty
-13.6% / +18.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Rejected Assemblies Solid wasteg · ±50%
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 inert waste, sanitary landfill
Uncertainty
±50% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
Plating Sludge Solid wasteg
Source citations
  • Characterization of electroplating wastewater sludges. Identifies 547 mg/L raw Ni in wastewater and 140-160 g/m2 filter cloth dewatering
  • Removal kinetics of heavy metals from electroplating effluents
Background data
ecoinvent 3.12 treatment route
Background dataset
market for metalliferous hydroxide sludge
Uncertainty
No range defined.
Unit
g
Drag Out Recovery 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:
  • Nordelöf et al. Scalable LCI of automotive power electronics. (Electroplating generic energy modeling and functional LCA scaling)
  • EPA documentation on cyanide destruction and gold plating classifications (Acid Gold Cyanide specifics)
Background data
ecoinvent 3.12 treatment route
Background dataset
market for precious metal from electronics scrap, in anode slime
Uncertainty
No range defined.
Unit
g
Drag Out Loss Wastewaterg
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:
  • Nordelöf et al. Scalable LCI of automotive power electronics. (Electroplating generic energy modeling and functional LCA scaling)
  • EPA documentation on cyanide destruction and gold plating classifications (Acid Gold Cyanide specifics)
Background data
ecoinvent 3.12 treatment route
Background dataset
wastewater treatment (contaminant load carried in the rinse effluent)
Uncertainty
No range defined.
Unit
g
Packaging Scrap 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 inert waste, sanitary landfill
Uncertainty
No range defined.
Unit
g

Emissions to air

No emissions to air are recorded at this level.

Emissions to water

No emissions to water are recorded at this level.

Flows not quantified

No flows are recorded for this dataset without a quantity.

Limitations and unquantified flows (1)

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.

  • Not quantifiedBath water, bath chemistry and rinse-water effluent for the nickel, gold and tin plating steps are not quantified on this dataset. The plating sludge and drag-out solids those steps produce are included, so the inventory books the solid residues of a wet process whose water and chemical inputs it does not carry.

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