Overview
- Technology
- Standard manufacturing process
- Geography
- Global average data from equipment vendor specifications and industry literature
System boundary
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.
Data quality and references
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% / +13.9%
- 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:
- Disco Corporation DFD6361 dicing saw specifications (blade-dicing process power and wafer throughput)
- Hu et al. (2019). Analysis of energy efficiency improvement of high-tech fabrication plants. International Journal of Low-Carbon Technologies. DOI: 10.1093/ijlct/ctz041.
- Guste, Marinas & Ong, Machines 12 (2024) 467, Table 3; Besi Datacon 2200 evo product page
- sst.semiconductor-digest.com (date not recorded). Semiconductor Digest - Package-on-package (PoP) with Through-mold Vias (2008). Trade press article.
- directindustry.com (date not recorded). DirectIndustry - Kulicke & Soffa IConn (ProCu) PLUS wire bonder listing (1.5 kVA nominal / 2.6 kVA max).
- c2mi.ca (date not recorded). C2MI - IConn ProCu Plus LA equipment listing.
- electronicspecifier.com (date not recorded). electronicspecifier - ASMPT unveils latest wire bonder (Eagle AERO, up to 24 2-mm connections/s), 26 Sep 2022. Trade press article.
- Liu, Elgowainy and Wang (2020), Green Chemistry 22, 5751-5761, DOI 10.1039/D0GC02301A
- 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% / +13.9% 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%
- Source citations
-
- indium.com (date not recorded). Indium Corporation, "Flux Coatings for Solder Preforms" product data sheet, Form No. 97824 (A4) R15 (standard flux coating weight percentage on solder preforms). PDF document.
- 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
- Source citations
-
- indium.com (date not recorded). Indium Corporation, "TACFlux for Board Assembly and Rework" product data sheet, Form No. 97776 R15 (reflow residue percentage by grade for no-clean tacky fluxes). PDF document.
- circuitinsight.com (date not recorded). Diepstraten, G. (Vitronics Soltec B.V.), How to Manage Material Outgassing in Reflow Oven, SMTA Proceedings (circuitinsight mirror). Symposium paper.
- 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
-
- p2infohouse.org (date not recorded). Florida Pollution Prevention Program - Electroplating Tip Sheet: Drag-Out Reduction (2000). Report.
- p2infohouse.org (date not recorded). Florida Pollution Prevention Program - Electroplating Tip Sheet: Rinse Water Reduction (2000). Report.
- Park et al. - Effects of the degradation of methane sulfonic acid electrolyte on the collapse failure of Sn-Ag alloy solders for flip-chip interconnections, RSC Advances, 2017
- 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 · -3.9% / +6.7%
- 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
-
- 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
- uwaterloo.ca (date not recorded). A. Pequegnat, J. Persic, M. Mayer, Y. Zhou, J. Hong, K. Ahn, "Effect of gas type and flow rate on Cu free air ball formation in thermosonic wire bonding", Microelectronics Reliability 51 (2011) 43-52, doi 10.1016/j.microrel.2010.02.023. PDF document.
- Alfred Yeung, Ivy Sutiono, Jochen Milke (Heraeus Materials Technology), "Optimization of Free Air Ball Formation of Copper and Palladium Coated Copper Bonding Wires", Proceedings of IMAPS 2010, 43rd International Symposium on Microelectronics, pp. 000661 ff
- Veeco LSA specifications and MDPI study
- MDPI Photonics - 'Laser Annealing of Si Wafers Based on a Pulsed CO2 Laser', Photonics 2025, 12(4), 359
- Applied Materials Vantage Astra and SPIE study
- 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
- -3.9% / +6.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- g
SiC Wafer 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 (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 '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.
- 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
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