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Overview

General comment

Silicon Carbide Schottky barrier diode for high-efficiency power conversion. Zero reverse recovery charge enables high-frequency switching with minimal losses. Superior performance in boost PFC, DC-DC converters, and solar inverters. Often paired with Si IGBTs or SiC MOSFETs.

Technology
Standard manufacturing process
Geography
Global average data from equipment vendor specifications and industry literature
Terms used above
  • PFC perfluorinated compounds; in power-supply contexts, power-factor correction

System boundary

System boundary - SiC Schottky DiodeSystem 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.SiC Schottky DiodeGATE INRaw materials and sub-componentsENTERING FLOWSElectricityProcess chemicalsFreight transportOtherSYSTEM BOUNDARYMODELLED UNIT PROCESSES, BY CLASSOtherWafer dicingPackage nitrogen supply energyAssemblyDie attach placementSolder reflow die attachWire bondingTransfer moldingREFERENCE PRODUCTSiC Schottky DiodeAssembled and tested componentEMISSIONS AND WASTEEmissions to airEmissions to waterWaste routesRECORDED BUT NOT QUANTIFIEDIn scope, left out of the quantified inventoryCut off below the significance threshold, or with no background dataset available - each is listed with its reason3FLOWSsystem 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 2.1 Good
Reliability
3.2
Completeness
2.3
Temporal
1.5
Geographic
2.0
Technological
1.7

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

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

150mm 4H-SiC Power REEL datasetwafer
Derivation basis
  • Calculated by the manufacturing model. The linked REEL dataset carries the upstream life cycle sources.

No source is attached to this row.

Source citations
Not stated
Upstream REEL dataset
SiC 150mm wafer, 150mm, Germany
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Yield-adjusted wafer fraction; carries the suppressed wafer-fab elementary flows
Uncertainty
No range defined.
Unit
wafer
Wafer transport, DE fab to packaging site - Air (long haul) Freight transporttkm · -47.4% / +80%
Derivation basis
  • Specified for this manufacturing operation and scaled to the dataset's functional unit.

No source is attached to this row.

Source citations
Not stated
Background data
ecoinvent 3.12
Background dataset
transport, freight, aircraft, dedicated freight, long haul
Notes
Freight for the part-finished product moving between REEL-modelled sites: the wafer fraction this dataset consumes, travelling from European specialty or power fab to its Asian packaging site, intercontinental. Shipped mass is that wafer fraction times the wafer mass implied by the diameter, thickness and substrate its own model declares, times a shipping-packaging factor covering the returnable wafer shipping box and its secondary carton. No published container mass was found for a wafer of this diameter, so the factor carried here is the one derived for the largest diameter in this database rather than one derived for this one. The two diameters that do have a measured carrier show the factor rising as the wafer gets smaller, because a box's own mass does not fall in proportion to the wafer material it holds, so this leg's shipped mass is more likely to be understated than overstated; the packaging production burden is excluded as returnable, while its mass is carried because freight scales with what is actually shipped. Air freight is allocated on chargeable weight rather than actual shipped mass. The authored band holds the fixed route distance: its lower endpoint uses actual shipped mass, its central uses chargeable-weight allocation, and its upper endpoint adds the separate reusable-carrier return service, not aircraft backhaul. The route distance is a declared proxy: the route evidence carries two independent European fab to back-end air lanes of essentially the same length, but both end at a Southeast Asian back end rather than at the site this dataset declares, so that European long-haul class stands in for a lane no public source states end to end.
Uncertainty
-47.4% / +80% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
tkm — tonne-kilometres, a transport effort rather than a mass
Electricity, Taiwan (TW) ElectricitykWh · -12.3% / +15%
Derivation basis
  • Calculated from equipment energy across all manufacturing operations, plus facility support such as cleanroom HVAC, ultrapure water, cooling, gas abatement, and bulk gases.
  • Package reflow nitrogen generation and delivery are represented by electricity. The direct process volume remains an on-site product under cutoff accounting.

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
Background dataset
electricity, high voltage
Notes
package-level only; wafer-fab electricity carried by the wafer reference. The uncertainty range is the pre-split range scaled by the same package share, not a range derived for the package step on its own
Uncertainty
-12.3% / +15% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh
Solder flux (low-residue / no-clean) Process chemicalg · -66.7% / +166.7%
Background data
ecoinvent 3.12
Background dataset
flux, for wave soldering
Uncertainty
-66.7% / +166.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g

Outputs and waste

No output flows are recorded at this level.

Emissions to air

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

Flux volatiles Emission to airg
Compartment
Air (non-urban air or from high stacks)
ecoinvent 3.12 elementary flow
NMVOC, non-methane volatile organic compounds
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Emissions to water

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

Si Emission to waterg
Source citations
Compartment
Water (surface water)
CAS number
7440-21-3
ecoinvent 3.12 elementary flow
Silicon
Uncertainty
A minimum-maximum range is defined for this flow. Bounds ship with the dataset on Circa.
Unit
g

Flows not quantified

3 flows are recorded for this dataset but carry no quantity — cut off below the significance threshold, or with no background dataset available. They remain inside the declared system boundary; each is listed with its reason.

Cut off - below the significance threshold (3)

N2 Process gasg · -8.1% / +14.1%
Derivation basis
  • IAAM and Orbit & Skyline SiC growth studies
  • Engineering estimate; the solder-reflow evidence supports the nitrogen atmosphere requirement, while direct public per-package consumption is an open data gap

The sources for this row are listed below.

Source citations
Background data
cut off
Background dataset
Not applicable: this flow is not quantified in the inventory.
Notes
package-level remainder; wafer-allocated share carried by the wafer reference. The uncertainty range is the pre-subtraction range scaled by the remaining share, not a range derived for the remainder on its own
Reason
Reflow nitrogen remains visible as direct process inventory. Its generation and delivery are represented by electricity, so a purchased-liquid market link would duplicate the upstream supply burden.
Uncertainty
-8.1% / +14.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
g
SiC Die Materialg
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • IAAM and PMC thermal field optimization
  • Compound Semiconductor and Orbit & Skyline
  • Orbit & Skyline and MDPI SiC growth
  • IAAM SiC powder source study
  • Power Electronics News and PMC
Background data
cut off
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
This die or wafer input is carried as a reference to its own upstream dataset elsewhere in this inventory. This mass-tracking row is excluded from upstream linkage so the same input is not counted twice.
Uncertainty
No range defined.
Unit
g
Package Mass Materialg
Derivation basis
  • Calculated from per-operation consumption, operation counts, and manufacturing yield.

The sources for this row are listed below.

Source citations (dataset-level)
  • IAAM and PMC thermal field optimization
  • Compound Semiconductor and Orbit & Skyline
  • Orbit & Skyline and MDPI SiC growth
  • IAAM SiC powder source study
  • Power Electronics News and PMC
Background data
cut off
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
Mass-tracking record from the authored model – a package-level mass total, not an individual material input. It is recorded for transparency and excluded from upstream linkage; the package's constituent materials are not itemized in this dataset.
Uncertainty
No range defined.
Unit
g

Limitations and unquantified flows (3)

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 'Package Mass' row carries the moulded body, lead frame and die-attach as one unmapped mass. Its constituent materials are not itemised and it is not linked to a background dataset.
  • The number of wire bonds in this package is an engineering estimate taken from the two-terminal construction of a Schottky rectifier die, with the cathode on the soldered back face and a single anode connection to the lead. No published count was found for this package, and the wire mass this dataset carries sits inside an aggregate package-mass figure that cannot be divided into a count. That estimate lands on the single bond already booked, so the bonder electricity and its nitrogen cover gas are unchanged by it. The reliability this dataset publishes is held to the estimate tier on account of the count. The forming gas the same operation uses is not itemised separately here: what is left of it once the wafer purchase is credited with the share it already carries falls below the size at which this dataset reports a trace gas.
  • Some consumable pulls referenced by the modelled process steps did not resolve to an inventory row and are absent from this dataset. They are itemised in the dataset's own export audit.

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