Overview
- Technology
- Thermal Management, Passive Cooling
- 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
- 1 — 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.
Electricity, China (CN) ElectricitykWh · -42.3% / +58.5%
- 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 thermal component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class
- REEL derivation: metal-forming scrap-rate assumptions set as an engineering estimate over published extrusion, stamping and drawing scrap ranges; no individual source was confirmed for the adopted values
The sources for this row are listed below.
- Source citations (dataset-level)
-
- Castool. (2022). Billet Geometry and Scrap Allocation
- Saunders, F.M. (1988). Reclamation of Aluminum Finishing Sludges. EPA Project Summary
- Venkateswaran. Die Casting Die Parameter Calculation Guideline
- Altair. Knowledge Studio Sheet Metal Stamping Process Case Study
- Anebon. (2025). Sheet Metal Nesting Strategy Guide
- Sinothermic. (2025). What is Vapor Chamber Scrap Rate?
- Background data
- ecoinvent 3.12
- Background dataset
- electricity, medium voltage
- Uncertainty
- -42.3% / +58.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- kWh
Fresh water WaterL · ±25%
- 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 whole demand: the water-recycling scenario this dataset assumes reuses none of it, so nothing has been deducted, and wastewater follows the same balance.
The sources below come from the manufacturing operations behind this row.
- Sources (inherited)
- Inherited, rolled up from the contributing process steps:
- Aluminum Extruders Council (AEC). Aluminum Extrusion Manual: Microstructure and Aging. (2018)
- Uzun O, Rajendrachari S. Quality Assurance of Aluminium Extrusion for 6xxx Series Alloys. (2021)
- CDExtruder. The Working Efficiency of Aluminum Extrusion Machines. (2025)
- DW Induction Heater. Induction Aluminum Billet Preheat Furnaces for Extrusion
- DW Induction Heater. Economic Benefits and ROI Analysis of Induction vs Gas Heating
- National Renewable Energy Laboratory (NREL). Aluminum Extrusion Process Energy Models
- Background data
- ecoinvent 3.12
- Background dataset
- tap water
- Notes
- Process and cleaning water
- Uncertainty
- ±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- L
Anodizing Chemicals Process chemicalkg · -33.3% / +66.7%
- Derivation basis
-
- Stated by the manufacturing model as the anodising bath chemistry its own line uses, rescaled from the batch it is written on to the unit this dataset is reported in. It is not summed from individual operations and no manufacturing yield is applied to it.
- REEL derivation: engineering estimate of thermal component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class
- REEL derivation: metal-forming scrap-rate assumptions set as an engineering estimate over published extrusion, stamping and drawing scrap ranges; no individual source was confirmed for the adopted values
No source is attached to this row.
- Source citations
- Not stated
- Background data
- ecoinvent 3.12
- Background dataset
- sulfuric acid
- Uncertainty
- -33.3% / +66.7% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- kg
Aluminum Alloy 6063-T5 Materialkg · ±1.2%
- Derivation basis
-
- Calculated from per-operation consumption, operation counts, and manufacturing yield.
- REEL derivation: engineering estimate of thermal component mass and material split, built from vendor catalogue and product-page data for representative parts; no single published inventory covers this component class
- REEL derivation: metal-forming scrap-rate assumptions set as an engineering estimate over published extrusion, stamping and drawing scrap ranges; no individual source was confirmed for the adopted values
The sources for this row are listed below.
- Source citations (dataset-level)
-
- Castool. (2022). Billet Geometry and Scrap Allocation
- Saunders, F.M. (1988). Reclamation of Aluminum Finishing Sludges. EPA Project Summary
- Venkateswaran. Die Casting Die Parameter Calculation Guideline
- Altair. Knowledge Studio Sheet Metal Stamping Process Case Study
- Anebon. (2025). Sheet Metal Nesting Strategy Guide
- Sinothermic. (2025). What is Vapor Chamber Scrap Rate?
- Background data
- proxy-mapped
- Background dataset
- aluminium, wrought alloy
- Uncertainty
- ±1.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- kg
Outputs and waste
Wastewater Wastewaterm3 · ±25%
- Derivation basis
-
- Calculated from the water balance: fresh-water input minus evaporation.
The sources below come from the manufacturing operations behind this row.
- Sources (inherited)
- Inherited, rolled up from the contributing process steps:
- Aluminum Extruders Council (AEC). Aluminum Extrusion Manual: Microstructure and Aging. (2018)
- Uzun O, Rajendrachari S. Quality Assurance of Aluminium Extrusion for 6xxx Series Alloys. (2021)
- CDExtruder. The Working Efficiency of Aluminum Extrusion Machines. (2025)
- DW Induction Heater. Induction Aluminum Billet Preheat Furnaces for Extrusion
- DW Induction Heater. Economic Benefits and ROI Analysis of Induction vs Gas Heating
- National Renewable Energy Laboratory (NREL). Aluminum Extrusion Process Energy Models
- Background data
- carried, no background dataset
- Background dataset
- No treatment route recorded for this output.
- Uncertainty
- ±25% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- m3
Aluminum Scrap Solid wasteg · -6.7% / +6.9%
- Source citations
-
- Castool. (2022). Billet Geometry and Scrap Allocation
- Background data
- ecoinvent 3.12 treatment route
- Background dataset
- market for aluminium scrap, new
- Uncertainty
- -6.7% / +6.9% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- g
Anodizing Sludge Solid wasteg · ±45.5%
- Source citations
-
- Saunders, F.M. (1988). Reclamation of Aluminum Finishing Sludges. EPA Project Summary
- Background data
- ecoinvent 3.12 treatment route
- Background dataset
- treatment of hazardous waste, underground deposit
- Uncertainty
- ±45.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- g
Scrapped material (line yield) Solid wastekg · ±20%
- 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:
- Castool. (2022). Billet Geometry and Scrap Allocation
- Saunders, F.M. (1988). Reclamation of Aluminum Finishing Sludges. EPA Project Summary
- Venkateswaran. Die Casting Die Parameter Calculation Guideline
- Altair. Knowledge Studio Sheet Metal Stamping Process Case Study
- Anebon. (2025). Sheet Metal Nesting Strategy Guide
- Sinothermic. (2025). What is Vapor Chamber Scrap Rate?
- Background data
- ecoinvent 3.12 treatment route
- Background dataset
- market for aluminium scrap, new
- Notes
- Calculated reject material after accounting for a manufacturing yield of 99%.
- Uncertainty
- ±20% around the published quantity. The bounds themselves ship with the dataset on Circa.
- Unit
- kg
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.
Sulfuric acid Emission to airg
- Derivation basis
-
- Engineering estimate; no public measurement of post-scrubber anodizing acid mist was identified
No source is attached to this row.
- Source citations
- Not stated
- Compartment
- Air (non-urban air or from high stacks)
- Formula
- H2SO4
- CAS number
- 7664-93-9
- ecoinvent 3.12 elementary flow
- Sulfuric acid
- Uncertainty
- No range defined.
- Unit
- g
Emissions to water
No emissions to water are recorded at this level.
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.
Not modelled (3)
Process materials, thermal manufacturing steps Materialkg
- Derivation basis
- Not stated
- Source citations
- Not stated
- Background data
- not modelled
- Background dataset
- Not applicable: this flow is not quantified in the inventory.
- Reason
- The referenced thermal manufacturing steps consume process materials that are recorded but not quantified in this dataset; this thermal model carries only the energy of those steps - deferred, not judged immaterial.
- Uncertainty
- No range defined.
- Unit
- kg
Process chemicals, thermal manufacturing steps Process chemicalkg
- Derivation basis
- Not stated
- Source citations
- Not stated
- Background data
- not modelled
- Background dataset
- Not applicable: this flow is not quantified in the inventory.
- Reason
- The referenced thermal manufacturing steps consume process chemicals that are recorded but not quantified in this dataset; this thermal model carries only the energy of those steps - deferred, not judged immaterial.
- Uncertainty
- No range defined.
- Unit
- kg
Process water, thermal manufacturing steps WaterL
- Sources (inherited)
- Inherited, rolled up from the contributing process steps:
- Aluminum Extruders Council (AEC). Aluminum Extrusion Manual: Microstructure and Aging. (2018)
- Uzun O, Rajendrachari S. Quality Assurance of Aluminium Extrusion for 6xxx Series Alloys. (2021)
- CDExtruder. The Working Efficiency of Aluminum Extrusion Machines. (2025)
- DW Induction Heater. Induction Aluminum Billet Preheat Furnaces for Extrusion
- DW Induction Heater. Economic Benefits and ROI Analysis of Induction vs Gas Heating
- National Renewable Energy Laboratory (NREL). Aluminum Extrusion Process Energy Models
- Background data
- not modelled
- Background dataset
- Not applicable: this flow is not quantified in the inventory.
- Reason
- The referenced thermal manufacturing steps use process water that is recorded but not quantified in this dataset; this thermal model carries only the energy of those steps - deferred, not judged immaterial.
- Uncertainty
- No range defined.
- Unit
- L
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.
Wastewater
- Not quantifiedWastewater and the pollutants it carries are not quantified on this dataset, although the inventory books wastewater-treatment sludge from the same steps.
Waste
- Anodizing Sludge leaves the boundary as waste but is not funded by any material input on this bill; see that row for the quantity. Dewatered anodising sludge, booked off no single bill row. Its dry solids are reported as amorphous aluminium hydroxide with sulfates, so part of the mass is the anodising bath chemistry this bill does buy and part is aluminium dissolved off the part during anodising; the billet purchase is grossed for clean extrusion scrap only, not for that dissolution. The source behind this row gives a wet-sludge rate, a solids share and a range for the aluminium lost to the sludge, but no quantitative split of the dry solids between those two origins, so neither input can be grossed to cover the loss without adopting an allocation the source does not support. It is carried as a declared open mass instead.
General
- These flows are named in this inventory but ship without a quantity, so their burden is not carried anywhere in the dataset: Process chemicals, thermal manufacturing steps; Process materials, thermal manufacturing steps; Process water, thermal manufacturing steps. Each row states its own reason on the row itself.
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
Production covered
Extruded aluminum heatsink for electronics thermal management. Aluminum 6063-T5 alloy profile with finned geometry for natural or forced convection cooling. Black anodized surface finish improves emissivity for radiative heat transfer. Typical applications include CPU/GPU cooling, power supply components, and industrial electronics.
Modelling choices
This dataset is modelled with no water reuse. No reclaim rate is published for this kind of plant, so the water shown is the full fresh intake and no recycling credit has been deducted from it.