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Overview

General comment

500 W 48 V-to-12V intermediate bus converter for datacenter power distribution. Multi-phase synchronous buck topology with digital control. Part of 48 V rack architecture (OCP-compliant). High efficiency (>97%) for datacenter power savings.

Technology
Power Conversion, Intermediate Bus Converter
Geography
Global average data from equipment vendor specifications and industry literature

System boundary

System boundary - PSU DC Buck 48V 500WSystem 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.PSU DC Buck 48V 500WGATE INRaw materials and sub-componentsENTERING FLOWSElectricityMaterialsFreight transportOtherSYSTEM BOUNDARYCOMPOSED OF OTHER REEL DATASETSHigh-side switchesPower MOSFET, TO-220, 180nmLow-side synchronousrectifierPower MOSFET, TO-220, 180nm4-phase digital controllerwith PMBusPMIC, QFN 4x4, 180nmHigh-side + low-sidedriverAnalog IC, SOP-8, 180nmInput bulk capacitorsAluminum ElectrolyticOutput bulk capacitorsAluminum ElectrolyticX7R ceramic capacitorsMLCC X7RHeavy copper PCB4-Layer FR4 PCB, ENIG finishREFERENCE PRODUCTPSU DC Buck 48V 500WAssembled 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 reason1FLOWsystem 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 2.2 Good
Reliability
2.8
Completeness
2.1
Temporal
1.8
Geographic
2.0
Technological
2.2
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
Composed from linked REEL datasets
Pedigree-scored source files
77 — the source records behind this dataset's manufacturing operations. Each carries the five pedigree axes above; the composite DQI aggregates them.

Technosphere inputs

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

High-side switches REEL datasetunit
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
Power MOSFET, TO-220, 180nm
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Adjusted for assembly yield.
Uncertainty
No range defined.
Unit
unit
Low-side synchronous rectifier REEL datasetunit
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
Power MOSFET, TO-220, 180nm
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Adjusted for assembly yield.
Uncertainty
No range defined.
Unit
unit
4-phase digital controller with PMBus REEL datasetunit
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
PMIC, QFN 4x4, 180nm
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Adjusted for assembly yield.
Uncertainty
No range defined.
Unit
unit
High-side + low-side driver REEL datasetunit
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
Analog IC, SOP-8, 180nm
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Adjusted for assembly yield.
Uncertainty
No range defined.
Unit
unit
Input bulk capacitors REEL datasetunit
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
Aluminum Electrolytic
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Quantity is in reference-component equivalents, not pieces: this entry's declared total mass divided by the referenced dataset's reference-component mass, then adjusted for assembly yield. Read it against that reference mass, not against any piece count in this row's name.
Uncertainty
No range defined.
Unit
unit
Output bulk capacitors REEL datasetunit
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
Aluminum Electrolytic
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Quantity is in reference-component equivalents, not pieces: this entry's declared total mass divided by the referenced dataset's reference-component mass, then adjusted for assembly yield. Read it against that reference mass, not against any piece count in this row's name.
Uncertainty
No range defined.
Unit
unit
X7R ceramic capacitors REEL datasetunit
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
MLCC X7R
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Adjusted for assembly yield.
Uncertainty
No range defined.
Unit
unit
Heavy copper PCB REEL datasetm2
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
4-Layer FR4 PCB, ENIG finish
Background dataset
Modelled by REEL; see the upstream dataset above.
Notes
Adjusted for assembly yield.
Uncertainty
No range defined.
Unit
m2
Aluminum 6063 billet Materialkg · -1.3% / +1.1%
Source citations
  • Castool. (2022). Billet Geometry and Scrap Allocation
Background data
proxy-mapped
Background dataset
aluminium, wrought alloy
Uncertainty
-1.3% / +1.1% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Copper Conductor Materialkg · -33.5% / +66.5%
Derivation basis
  • Estimate
  • REEL derivation: engineering estimate of power-delivery 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)
  • Open Compute Project 48V Power Architecture
Background data
ecoinvent 3.12
Background dataset
copper, cathode
Uncertainty
-33.5% / +66.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Lead Frame Materialkg · -40% / +60%
Derivation basis
  • Estimate
  • REEL derivation: engineering estimate of power-delivery 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)
  • Open Compute Project 48V Power Architecture
Background data
ecoinvent 3.12
Background dataset
copper, cathode
Uncertainty
-40% / +60% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg
Component inbound, CN component supply to CN PSU assembly - Road Freight transporttkm · -40% / +400%
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, lorry, unspecified
Notes
Inbound freight uses the net-of-market mass basis: parent product mass after subtracting material mapped to ecoinvent markets, because those market datasets already include their own freight. Ref-linked components remain in the transported mass as discrete goods. Bulk tray or light carton shipping packaging is included at the class-specific factor while its production burden is excluded.
Uncertainty
-40% / +400% 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, Global (GLO) ElectricitykWh · -31.8% / +53.2%
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 power-delivery 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)
  • Open Compute Project 48V Power Architecture
Background data
ecoinvent 3.12
Background dataset
electricity, medium voltage
Notes
Energy demand from power inductor, adjusted for assembly yield.
Uncertainty
-31.8% / +53.2% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kWh

Outputs and waste

Mold Flash 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
Rejected Units 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
Aluminum extrusion 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
market for aluminium scrap, new
Uncertainty
No range defined.
Unit
g
Anodizing sludge 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, underground deposit
Uncertainty
No range defined.
Unit
g
Process solid waste, component assembly steps Solid wastekg
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
kg

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

1 flow is recorded for this dataset but carries no quantity — cut off below the significance threshold, or with no background dataset available. It remains inside the declared system boundary; each is listed with its reason.

Not modelled (1)

Magnetic Composite Materialkg · -42.9% / +71.5%
Derivation basis
  • Estimate
  • REEL derivation: engineering estimate of power-delivery 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)
  • Open Compute Project 48V Power Architecture
Background data
not modelled
Background dataset
Not applicable: this flow is not quantified in the inventory.
Reason
The quantified material is retained, but its authored name does not identify a sufficiently specific background dataset or defensible proxy; background modeling remains an explicit gap.
Uncertainty
-42.9% / +71.5% around the published quantity. The bounds themselves ship with the dataset on Circa.
Unit
kg

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.

Waste

  • These flows are named in this inventory but ship without a quantity, so their burden is not carried anywhere in the dataset: Process solid waste, component assembly steps. Each row states its own reason on the row itself.

General

  • The number this dataset publishes for its aluminum electrolytic capacitor rows is not a count of capacitors. The capacitor dataset those rows draw on describes one small radial part and states that part's mass, and the quantity is worked out as the ratio of the mass declared here to that reference part - so a row for a few large bulk capacitors is published as many times that many reference parts. The materials the rows carry are right in total, because the same ratio reproduces the capacitor mass this dataset declares, and that declared mass was checked against manufacturer datasheets for the same voltage and capacitance and sits inside the published range. What the shipped electricity figure IS, plainly: the reading in which a capacitor's manufacturing energy grows in proportion to its mass, applied through that same ratio. That reading is not established, and the two things known about it point in OPPOSITE directions. Against it: roughly a seventh to a quarter of the reference part's electricity is spent on steps that happen once per capacitor however large it is - welding the tabs, closing the can, sleeving, testing, packing, and on the wider reading the ageing soak - and the ratio multiplies those by the full count, so on this reading they are over-counted. For it: the research this project registered for this component class puts the per-piece energy several times higher than the figure shipped here, and a 450 V part needs a far thicker anodic oxide than the 25 V part described, which takes more forming energy for every unit of foil - so the shipped figure may equally be too low. Which way the error runs is unresolved and no public measurement settles it. What is bounded is the size of it: these rows carry under two percent of this dataset's electricity, so the whole unresolved question is worth less than that in either direction.

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