f9b921d0-e44f-485a-a8fe-f0a7494909a8Transistor THT TO92 (250mg) D4.8x5.3front-end and back-end processing of the wafer, including Czochralski method of silicon growingproduction mix, at plant250mg, D4.8x5.3Integrated circuit, semiconductor chip, processor, chip, microcomputer, logic chip, silicon chipSystemsElectrics and electronicsThe data set covers all relevant process steps and technologies over the supply chain of the represented cradle to gate inventory with a good overall data quality. The inventory is based mainly on industry data and is completed, where necessary, by secondary data. The IC manufacturing process is representative of a combination of IC manufacturing platforms and does not specifically represent any one company or process technology platform.1254This dataset represents a global technology and energy mix. The wafer processing model is representative of several manufacturing platforms (defined methods of IC production) developed and/or used by leading manufacturers of logic and memory (Intel, AMD/Global Foundries, IBM, TSMC, Samsung, Micron), which compose the majority of IC production worldwide. The production location (energy, materials and fuels) representing a mix of IC producing nations weighted by installed manufacturing capacity.The process name for semiconductors contains following information: name of the component, e.g. IC, LED; housing type, e.g. BGA (ball grid array); number of pins, e.g.144; mass of the component in parentheses, e.g. (360mg); size details, e.g. 13x13mm - the size given in mm for length x width. In some cases, the final descriptor is the semiconductor device type and (in parentheses) technology node, e.g. CMOS logic (14 nm node). For ICs, where the semiconductor type is not given, the device is a generic microprocessor unit (MPU) which comprises both logic and memory.
The data sets for ICs (all housing and packaging types), transistors and diodes are based on a parametric model including die manufacture (front-end) and packaging assembly (back-end). This model is described in the following aspects:
1. die manufacture (front-end)
2. packaging assembly (back-end)
> Die size
> bond wires (where applicable)
> leadframe (where applicable)
> housing
FRONT-END
The module "die manufacture": The module for the die includes all steps up to and including semiconductor wafer fabrication (a.k.a., front-end wafer processing), up to the foundry “gate”. Scaling of this module is based on die size (which determines the area required in wafer manufacture), the IC technology type (e.g., CMOS logic 22 nm node) which determines the production steps used in wafer manufacture appropriate to both the device type (logic, memory, single/power transistor, diode or LED) as well as the technology generation or node (45 nm, 32 nm, 14 nm, etc.), which indicates the sophistication or complexity of the device. The technology node reflects the level of integration of the chip and is used, along with industry standards and reference products, to determine the packaging type required for the IC (or vice versa: the IC device type and technology generation is suggested by the package type).
The model of bare silicon substrate wafer production (to reflect the environmental effects for bare wafers) consists of the following processes: manufacturing of mono-crystalline silicon (Czochralski method) and cutting. Mono-crystalline silicon manufactured during the Czochralski method are cut into thin silicon wafers and polished to a very high flatness to be used for semiconductor fabrication. Three different yield losses (line yield, cut die yield per wafer, wafer yield) are taken into account:
Line yield
- % good wafers per wafers processed
- Reflects test wafers and broken/damaged wafers
Cut die yield
- Dependent on the die size and geometry (# die fit on wafer)
Wafer yield
- % good die per total die cut
- Reflects losses due to die which fail testing
The die or wafer fabrication processes (front end) consist of hundreds of steps and uses many chemical inputs. Scaling of all resources, chemical inputs and emissions takes place according to the process inventory for the semiconductor device, which is defined by the technology node. This module is composed of process-level data from the Boyd 2010 source combined with publicly-available process literature and technology specifications.
Wafer processing includes newer process technologies which correspond to higher mask counts, as well as new device types (flash memory and DRAM). The MPU process technology reflects a device at the 130 nm CMOS generation with both logic and on-chip memory, which is representative of a generic microprocessor unit.
Die transportation (where applicable): air freight is included based on the die mass and an average distance of 7000km. Transportation mass/die is calculated with the individual IC die size and the number of dies per wafer with yields; as well as the Front opening shipping box (FOSB) wafer carrier and secondary packaging per wafer (Pallet, crating and/or barrier bags; Human escort in some cases).
BACK-END
Die size: The sizes of the respective dies on each packaging type is given in the table below taken based on a sampling approach. When no die size was available, the lead frame die pad (or thermal pad) size was taken as an assumption. For representative components in the highly dynamic and fast growing IC market, please refer to the open IC model and the parametric IC components to have the opportunity to model specific components.
In the case of Wafer Level Chip Scale Packaging (WLCSP) which refers to the technology of packaging an integrated circuit at wafer level, resulting in a device practically the same size as the die, an assumption of 90% packaging-die size ratio is taken. Wafer level packaging is achieved through a continuation of the semiconductor processing of the wafer to achieve a more compact and low profile package, termed a chip-scale package or chip-size package (CSP).
Bond wires: gold, palladium and copper are included based on material declaration and a wire process is applied. Flip chips connectivity is also considered often with gold, palladium or copper also based on the material declarations.
Leadframe: materials for possible alloys are lead, nickel, copper, aluminium, steel, cobalt and zinc. The respective composition is in accordance with the given material declaration. Each alloy includes an average sheet making and forming process.
Housing: materials for possible compositions of housings are epoxy resin, glass fibres, tetra bromo bisphenol-A (TBBA) and antimony trioxide. The respective composition is in accordance with the material declaration for each package type.
Diodes such as MELF or mini MELF have additionally taken into consideration the materials glass, as float glass, and ceramic, based on wet cast manufacture.
LEDs are also based on the parametric IC model. This refers to an estimation that the gallium, arsenic, selenic or other mono-crystalline semiconductor materials may be estimated by the mono-crystalline silicon model since the processing steps are nearly identical from an environmental stand-point. The plastic cap of the THT LED is estimated as epoxy resin because of the provided boundaries of the model.
In addition to the standard modules, the parametric model of SMD-type LEDs contains the following modules:
- Substrate consisting of ceramics (film cast) and is contained in all datasets
- Reflector consisting of aluminum foil
- Lens consisting of silicone
***All material compositions for integrated circuits, diodes, transistors and LEDs are given in respective flow properties.***
Background systems:
Electricity: Electricity is modelled according to the individual country-specific situations. The country-specific modelling is achieved on multiple levels. Firstly, individual energy carrier specific power plants and plants for renewable energy sources are modelled according to the current national electricity grid mix. Modelling the electricity consumption mix includes transmission / distribution losses and the own use by energy producers (own consumption of power plants and "other" own consumption e.g. due to pumped storage hydro power etc.), as well as imported electricity. Secondly, the national emission and efficiency standards of the power plants are modelled as well as the share of electricity plants and combined heat and power plants (CHP). Thirdly, the country-specific energy carrier supply (share of imports and / or domestic supply) including the country-specific energy carrier properties (e.g. element and energy content) are accounted for. Fourthly, the exploration, mining/production, processing and transport processes of the energy carrier supply chains are modelled according to the specific situation of each electricity producing country. The different production and processing techniques (emissions and efficiencies) in the different energy producing countries are considered, e.g. different crude oil production technologies or different flaring rates at the oil platforms.
Thermal energy, process steam: The thermal energy and process steam supply is modelled according to the individual country-specific situation with regard to emission standards and considered energy carriers. The thermal energy and process steam are produced at heat plants. Efficiencies for thermal energy production are by definition 100% in relation to the corresponding energy carrier input. For process steam the efficiency ranges from 85%, 90% to 95%. The energy carriers used for the generation of thermal energy and process steam are modelled according to the specific import situation (see electricity above).
Transports: All relevant and known transport processes are included. Ocean-going and inland ship transport as well as rail, truck and pipeline transport of bulk commodities are considered.
Energy carriers: The energy carriers are modelled according to the specific supply situation (see electricity above).
Refinery products: Diesel fuel, gasoline, technical gases, fuel oils, lubricants and residues such as bitumen are modelled with a parameterised country-specific refinery model. The refinery model represents the current national standard in refining techniques (e.g. emission level, internal energy consumption, etc.) as well as the individual country-specific product output spectrum, which can be quite different from country to country. The supply of crude oil is modelled, again, according to the country-specific situation with the respective properties of the resources.
The background system is addressed as follows:
Electricity, Thermal energy:
Electricity used in front-end wafer processing is a weighted average of national electricity mixes based on semiconductor wafer production capacity reported statistics [SICAS], checked against an additional source [WSTS].
Japan 32.2%
Taiwan 20.2%
US 17.0%
S. Korea 16.4%
China 14.1%
Electricity used in back-end assembly, testing and packaging is an average (evenly weighted ) of national electricity mixes based on market reports and publicly-available information concerning the back-end (assembly, test and packaging) site locations owned by major IC manufacturers.
Taiwan 16.7%
China 16.7%
Malaysia 16.7%
Thailand/Singapore 16.7%
Korea 16.7%
Mexico 16.7%
Thailand is substituted for Singapore, which has the closest match for grid emissions factor (CO2eq/kWh) based on EIA data.
The electricity (and thermal energy as by-product) used is modelled according to the individual country-specific situation. The country-specific modelling is achieved on multiple levels. Firstly the individual power plants in service are modelled according to the current national grid. This includes net losses and imported electricity. Second, the national emission and efficiency standards of the power plants are modelled. Third, the country-specific fuel supply (share of resources used, by import and / or domestic supply) including the country-specific properties (e.g. element and energy contents) are accounted for. Fourth, the import, transport, mining and exploration processes for the energy carrier supply chain are modelled according to the specific situation of each power-producing country. The different mining and exploration techniques (emissions and efficiencies) in the different exploration countries are accounted for according to current engineering knowledge and information.
SICAS, 2008
WSTS Semiconductor Market Forecast, 2008Printed Wiring Board 2-layer rigid FR4 with chem-elec AuNi finish (Subtractive method)Gold (primary)Palladium mixSilver mixCopper mix (99,999% from electrolysis)Epoxy Resin (EP) MixGlass fibresCarbon black (furnace black; general purpose)Nickel mixTinLead (99,995%)Zinc redistilled mixBF Steel billet / slab / bloomAluminium ingot mixTalcum powder (filler)Kerosene / Jet A1 at refineryCargo plane, 65 t payloadCobalt, Nickel cobalt route onlySilica sand (Excavation and processing) (data set not included in documentation)The purpose of these products (integrated circuits, diodes, transistors and LEDs) is to control electric signals in electronic products. Integrated circuits, diodes and transistors can calculate and store data, or transmit signals for communication or control. LEDs emit light.Electronics_IC_Table_DiodesElectronics_IC_Table_TransistorsElectronics_IC_Table_Transistors_continueElectronics_IC type and die size tableElectronics_IC modelElectronics_Fab processingEnergy source was adapted to global conditions, in order to reflect worldwide manufacturing of ICs, transistors, diodes, LEDs.
All environmentally-relevant mass inputs and emissions are included, where LCI data (for inputs) or characterization factors (for emissions) are available, but where a representative or proxy LCI data, or impact factor, is not available, the mass input is excluded. Where LCI data is not available for semiconductor grade (99.9998-99.99998%) chemicals, non-highly-pure (industrial grade) chemicals of 99-99.9% purity are used. Where an emissions factor for an exact chemical emission is not available, a representative group impact factor (e.g. NMVOC) is used.LCI resultAttributionalNoneAllocation - market valueAllocation - net calorific valueAllocation - exergetic contentFor the combined heat and power production, allocation by exergetic content is applied. For the electricity generation and by-products, e.g. gypsum, allocation by market value is applied due to no common physical properties. Within the refinery allocation by net calorific value and mass is used. For the combined crude oil, natural gas and natural gas liquids production allocation by net calorific value is applied.All electricity data used in the calculation of the LCI results refer to net calorific value.NoneGaBi Modelling PrinciplesGaBi Water Modelling PrinciplesGaBi Agriculture Model DocumentationGaBi Land Use Change Model DocumentationGaBi Energy Modelling PrinciplesGaBi Refinery Modelling PrinciplesOver 99% of mass and energy inputs and outputs to the overall process are included.
Cut-off rules for each unit process: Chemical inputs to wafer processing with unremarkable environmental relevance falling below 0.1% of input chemical flow by mass (excluding water inputs) are excluded. Chemical inputs lacking LCI data for their high-purity semiconductor grade form are represented using industrial grade purity. All process emissions with high environmental relevance are included in the inventory, no matter how low the mass contribution.
When considering only chemical inputs to the wafer fabrication (front-end) process (excluding the mass of water and silicon), coverage of at least 95 % of mass of the input flows are achieved. All process emissions with high global warming impact are included in the inventory, even when mass emissions fall below 0.1% because, at this point in time, not all high-GWP emissions are completely abated in semiconductor production worldwide.
For further details please see the document "GaBi Databases Modeling Principles."NoneEnergy source was adapted to global conditions, in order to reflect worldwide manufacturing of ICs, transistors, diodes, LEDs.
All environmentally-relevant mass inputs and emissions are included, where LCI data (for inputs) or characterization factors (for emissions) are available, but where a representative or proxy LCI data, or impact factor, is not available, the mass input is excluded. Where LCI data is not available for semiconductor grade (99.9998-99.99998%) chemicals, non-highly-pure (industrial grade) chemicals of 99-99.9% purity are used. Where an emissions factor for an exact chemical emission is not available, a representative group impact factor (e.g. NMVOC) is used.NoneFor details please see the document "GaBi Databases Modelling Principles"NoneSICAS Glob. Statistics Report 4th Quarter 2008: Integrated Circuit Wafer-Fab Capacity & UtilisationUltra-fine feature printed circuits and multi-chip modules. , 1995Average Industry Data , 1999-2010Patent-/ Technical Literature, 1999-2006Life-Cycle Assessment of Flash Memory.Life-cycle assessment of computational logic produced from 1995 through 2010.Life-cycle energy and global warming potential of computational logicThe 1.7 kilogram microchip: Energy and material use in the production of semiconductor devices.Case studies in energy use to realize ultra-high purities in semiconductor manufacturingSIA. Annual Forecast of Global Semiconductor Sales.Life-Cycle Assessment of SemiconductorsThe Int. Technology Roadmap for Semiconductors, 2001-2011 Editions and Updates. 2001-2011Life Cycle Assessment for Semiconductor Device, 2004An LCA approach to logic process customized by JEITA, 2004An LCA approach to Back-end Process of Logic LCI customized by JEITA , 2004JEITA STD. LOGIC PROCESS MODELING AND APPLICATION 3, 2006ESTIMATION METHOD OF LIFE CYCLE INVENTORY DATA FOR SEMICONDUCTOR DEVICES, 2006INTEGRATION OF ENERGY AND OPERATING MATERIAL SERVICE SYSTEMS IN AREA-BASED JEITA MODEL , 2006EXAMPLE “LCI”CALCULATION OF SEMICONDUCTOR DEVICES, USED FOR VIDEO CAMERA, THOSE MOUNTED ON THE PRINTPublicly available material declarations data, 2014-201695.02016noneThe dataset represents an aggregated process with cradle-to-gate system boundaries.
Select components and processes by type, size, mass and housing design, which is most suitable to reflect the product under consideration. In case the suitable component is not available, a scaling according to mass and size of the most appropriate component can be applied, e.g. scaling 1.5 pieces in the model to reflect 3 smaller pieces in the product. The dataset can be linked to the component mixer and scaled via parameter by piece, by mass, by size.
Dataset should be used in combination with an assembly line dataset (mounting of the device via surface mounting or through-hole technology) and a substrate (e.g. printed wiring board) dataset. The dataset can be connected to the unit process GLO: Component mixer or GLO: Component mixer (DfX). For an example see the plan GLO: Populated printed wiring board.No statementAnthropogenic Abiotic Depletion Potential (AADP), TU BerlinCML2001 - Jan. 2016, Abiotic Depletion (ADP elements)CML2001 - Jan. 2016, Abiotic Depletion (ADP fossil)CML2001 - Jan. 2016, Acidification Potential (AP)CML2001 - Jan. 2016, Eutrophication Potential (EP)CML2001 - Jan. 2016, Freshwater Aquatic Ecotoxicity Pot. (FAETP inf.)CML2001 - Jan. 2016, Global Warming Potential (GWP 100 years)CML2001 - Jan. 2016, Global Warming Potential (GWP 100 years), excl biogenic carbonCML2001 - Jan. 2016, Human Toxicity Potential (HTP inf.)CML2001 - Jan. 2016, Marine Aquatic Ecotoxicity Pot. (MAETP inf.)CML2001 - Jan. 2016, Ozone Layer Depletion Potential (ODP, steady state)CML2001 - Jan. 2016, Photochem. Ozone Creation Potential (POCP)CML2001 - Jan. 2016, Terrestric Ecotoxicity Potential (TETP inf.)CML2001 - Jan. 2016, Global Warming Potential (GWP 100), excl bio. C, incl LUC, no norm/weightCML2001 - Jan. 2016, Global Warming Potential (GWP 100), incl bio. C, incl LUC, no norm/weightCML2001 - Jan. 2016, Global Warming Potential (GWP 100), Land Use Change only, no norm/weightCML2001 - Jan. 2016, Abiotic Depletion (ADP elements), Economic ReserveCML2001 - Jan. 2016, Abiotic Depletion (ADP elements), Reserve BaseEF-Acidification terrestrial and freshwaterEF-Cancer human health effectsEF-Climate ChangeEF-Ecotoxicity freshwaterEF-Eutrophication freshwaterEF-Eutrophication marineEF-Eutrophication terrestrialEF-Ionising radiation - human healthEF-Land UseEF-Non-cancer human health effectsEF-Ozone depletionEF-Photochemical ozone formation - human healthEF-Resource use, energy carriersEF-Resource use, mineral and metalsEF-Respiratory inorganicsEF-water scarcityReCiPe 2016 v1.1 Midpoint (E) - Terrestrial ecotoxicityReCiPe 2016 v1.1 Midpoint (E) - Freshwater ecotoxicityReCiPe 2016 v1.1 Midpoint (E) - Marine ecotoxicityReCiPe 2016 v1.1 Midpoint (E) - Human toxicity, non-cancerReCiPe 2016 v1.1 Midpoint (E) - Human toxicity, cancerReCiPe 2016 v1.1 Midpoint (E) - Climate change, incl biogenic carbonReCiPe 2016 v1.1 Midpoint (E) - Climate change, default, excl biogenic carbonReCiPe 2016 v1.1 Midpoint (E) - Metal depletionReCiPe 2016 v1.1 Midpoint (E) - Photochemical Ozone Formation, Human HealthReCiPe 2016 v1.1 Midpoint (E) - Photochemical Ozone Formation, EcosystemsReCiPe 2016 v1.1 Midpoint (E) - Fossil depletionReCiPe 2016 v1.1 Midpoint (E) - Freshwater ConsumptionReCiPe 2016 v1.1 Midpoint (E) - Stratospheric Ozone DepletionReCiPe 2016 v1.1 Midpoint (E) - Fine Particulate Matter FormationReCiPe 2016 v1.1 Midpoint (E) - Terrestrial AcidificationReCiPe 2016 v1.1 Midpoint (E) - Ionizing RadiationReCiPe 2016 v1.1 Midpoint (E) - Freshwater EutrophicationReCiPe 2016 v1.1 Midpoint (E) - Land useReCiPe 2016 v1.1 Midpoint (E) - Marine EutrophicationReCiPe 2016 v1.1 Midpoint (E) - Climate change, excl biog. C, incl LUC, no norm/weightReCiPe 2016 v1.1 Midpoint (E) - Climate change, incl biog. C, incl LUC, no norm/weightReCiPe 2016 v1.1 Endpt(E) - Climate change Terrest Ecosystems, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(E) - Climate change Human Health, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(E) - Climate change Freshw Ecosystems, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(E) - Climate change Terrest Ecosystems, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(E) - Climate change Human Health, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(E) - Climate change Freshw Ecosystems, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(E) - Climate change Freshw Ecosystems, LUC only, no norm/weightReCiPe 2016 v1.1 Endpt(E) - Climate change Human Health, LUC only, no norm/weightReCiPe 2016 v1.1 Midpoint (E) - Climate change, LUC only, no norm/weightReCiPe 2016 v1.1 Endpt(E) - Climate change Terrest Ecosystems, LUC only, no norm/weightReCiPe 2016 v1.1 Endpoint (E) - Terrestrial ecotoxicityReCiPe 2016 v1.1 Endpoint (E) - Freshwater ecotoxicityReCiPe 2016 v1.1 Endpoint (E) - Marine ecotoxicityReCiPe 2016 v1.1 Endpoint (E) - Human toxicity, non-cancerReCiPe 2016 v1.1 Endpoint (E) - Human toxicity, cancerReCiPe 2016 v1.1 Endpoint (E) - Climate change Freshw Ecosystems, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (E) - Climate change Human Health, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (E) - Climate change Terrest Ecosystems, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (E) - Climate change Terrest Ecosystems, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (E) - Climate Change Human Health, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (E) - Climate change Freshw Ecosystems, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (E) - Metal depletionReCiPe 2016 v1.1 Endpoint (E) - Photochemical Ozone Formation, Human HealthReCiPe 2016 v1.1 Endpoint (E) - Photochemical Ozone Formation, EcosystemsReCiPe 2016 v1.1 Endpoint (E) - Fossil depletionReCiPe 2016 v1.1 Endpoint (E) - Freshwater Consumption, Human HealthReCiPe 2016 v1.1 Endpoint (E) - Freshwater Consumption, Terrest EcosystemsReCiPe 2016 v1.1 Endpoint (E) - Freshwater Consumption, Freshw EcosystemsReCiPe 2016 v1.1 Endpoint (E) - Stratospheric Ozone DepletionReCiPe 2016 v1.1 Endpoint (E) - Fine Particulate Matter FormationReCiPe 2016 v1.1 Endpoint (E) - Terrestrial AcidificationReCiPe 2016 v1.1 Endpoint (E) - Ionizing RadiationReCiPe 2016 v1.1 Endpoint (E) - Freshwater EutrophicationReCiPe 2016 v1.1 Endpoint (E) - Land useReCiPe 2016 v1.1 Endpoint (E) - Marine EutrophicationReCiPe 2016 v1.1 Midpoint (H) - Terrestrial ecotoxicityReCiPe 2016 v1.1 Midpoint (H) - Freshwater ecotoxicityReCiPe 2016 v1.1 Midpoint (H) - Marine ecotoxicityReCiPe 2016 v1.1 Midpoint (H) - Human toxicity, non-cancerReCiPe 2016 v1.1 Midpoint (H) - Human toxicity, cancerReCiPe 2016 v1.1 Midpoint (H) - Climate change, default, excl biogenic carbonReCiPe 2016 v1.1 Midpoint (H) - Climate change, incl biogenic carbonReCiPe 2016 v1.1 Midpoint (H) - Metal depletionReCiPe 2016 v1.1 Midpoint (H) - Photochemical Ozone Formation, Human HealthReCiPe 2016 v1.1 Midpoint (H) - Photochemical Ozone Formation, EcosystemsReCiPe 2016 v1.1 Midpoint (H) - Fossil depletionReCiPe 2016 v1.1 Midpoint (H) - Freshwater ConsumptionReCiPe 2016 v1.1 Midpoint (H) - Stratospheric Ozone DepletionReCiPe 2016 v1.1 Midpoint (H) - Fine Particulate Matter FormationReCiPe 2016 v1.1 Midpoint (H) - Terrestrial AcidificationReCiPe 2016 v1.1 Midpoint (H) - Ionizing RadiationReCiPe 2016 v1.1 Midpoint (H) - Freshwater EutrophicationReCiPe 2016 v1.1 Midpoint (H) - Land useReCiPe 2016 v1.1 Midpoint (H) - Marine EutrophicationReCiPe 2016 v1.1 Midpoint (H) - Climate change, excl biog. C, incl LUC, no norm/weightReCiPe 2016 v1.1 Endpt(H) - Climate change Terrest Ecosystems, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(H) - Climate change Human Health, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(H) - Climate change Freshw Ecosystems, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Midpoint (H) - Climate change, incl biog. C, incl LUC, no norm/weightReCiPe 2016 v1.1 Endpt(H) - Climate change Terrest Ecosystems, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(H) - Climate change Human Health, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(H) - Climate change Freshw Ecosystems, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(H) - Climate change Freshw Ecosystems, LUC only, no norm/weightReCiPe 2016 v1.1 Endpt(H) - Climate change Human Health, LUC only, no norm/weightReCiPe 2016 v1.1 Midpoint (H) - Climate change, LUC only, no norm/weightReCiPe 2016 v1.1 Endpt(H) - Climate change Terrest Ecosystems, LUC only, no norm/weightReCiPe 2016 v1.1 Endpoint (H) - Terrestrial ecotoxicityReCiPe 2016 v1.1 Endpoint (H) - Freshwater ecotoxicityReCiPe 2016 v1.1 Endpoint (H) - Marine ecotoxicityReCiPe 2016 v1.1 Endpoint (H) - Human toxicity, non-cancerReCiPe 2016 v1.1 Endpoint (H) - Human toxicity, cancerReCiPe 2016 v1.1 Endpoint (H) - Climate change Freshw Ecosystems, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (H) - Climate change Human Health, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (H) - Climate change Terrest Ecosystems, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (H) - Climate change Terrest Ecosystems, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (H) - Climate change Human Health, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (H) - Climate change Freshw Ecosystems, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (H) - Metal depletionReCiPe 2016 v1.1 Endpoint (H) - Photochemical Ozone Formation, Human HealthReCiPe 2016 v1.1 Endpoint (H) - Photochemical Ozone Formation, EcosystemsReCiPe 2016 v1.1 Endpoint (H) - Fossil depletionReCiPe 2016 v1.1 Endpoint (H) - Freshwater Consumption, Human HealthReCiPe 2016 v1.1 Endpoint (H) - Freshwater Consumption, Terrest EcosystemsReCiPe 2016 v1.1 Endpoint (H) - Freshwater Consumption, Freshw EcosystemsReCiPe 2016 v1.1 Endpoint (H) - Stratospheric Ozone DepletionReCiPe 2016 v1.1 Endpoint (H) - Fine Particulate Matter FormationReCiPe 2016 v1.1 Endpoint (H) - Terrestrial AcidificationReCiPe 2016 v1.1 Endpoint (H) - Ionizing RadiationReCiPe 2016 v1.1 Endpoint (H) - Freshwater EutrophicationReCiPe 2016 v1.1 Endpoint (H) - Land useReCiPe 2016 v1.1 Endpoint (H) - Marine EutrophicationReCiPe 2016 v1.1 Midpoint (I) - Terrestrial ecotoxicityReCiPe 2016 v1.1 Midpoint (I) - Freshwater ecotoxicityReCiPe 2016 v1.1 Midpoint (I) - Marine ecotoxicityReCiPe 2016 v1.1 Midpoint (I) - Human toxicity, non-cancerReCiPe 2016 v1.1 Midpoint (I) - Climate change, default, excl biogenic carbonReCiPe 2016 v1.1 Midpoint (I) - Climate change, incl biogenic carbonReCiPe 2016 v1.1 Midpoint (I) - Metal depletionReCiPe 2016 v1.1 Midpoint (I) - Photochemical Ozone Formation, Human HealthReCiPe 2016 v1.1 Midpoint (I) - Photochemical Ozone Formation, EcosystemsReCiPe 2016 v1.1 Midpoint (I) - Fossil depletionReCiPe 2016 v1.1 Midpoint (I) - Human toxicity, cancerReCiPe 2016 v1.1 Midpoint (I) - Freshwater ConsumptionReCiPe 2016 v1.1 Midpoint (I) - Stratospheric Ozone DepletionReCiPe 2016 v1.1 Midpoint (I) - Fine Particulate Matter FormationReCiPe 2016 v1.1 Midpoint (I) - Terrestrial AcidificationReCiPe 2016 v1.1 Midpoint (I) - Ionizing RadiationReCiPe 2016 v1.1 Midpoint (I) - Freshwater EutrophicationReCiPe 2016 v1.1 Midpoint (I) - Land useReCiPe 2016 v1.1 Midpoint (I) - Marine EutrophicationReCiPe 2016 v1.1 Midpoint (I) - Climate change, excl biog. C, incl LUC, no norm/weightReCiPe 2016 v1.1 Endpt(I) - Climate change Terrest Ecosystems, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(I) - Climate change Human Health, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(I) - Climate change Freshw Ecosystems, excl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Midpoint (I) - Climate change, incl biog. C, incl LUC, no norm/weightReCiPe 2016 v1.1 Endpt(I) - Climate change Terrest Ecosystems, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(I) - Climate change Human Health, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(I) - Climate change Freshw Ecosystems, incl biog. C, incl LUC, no norm/weighReCiPe 2016 v1.1 Endpt(I) - Climate change Freshw Ecosystems, LUC only, no norm/weightReCiPe 2016 v1.1 Endpt(I) - Climate change Human Health, LUC only, no norm/weightReCiPe 2016 v1.1 Midpoint (I) - Climate change, LUC only, no norm/weightReCiPe 2016 v1.1 Endpt(I) - Climate change Terrest Ecosystems, LUC only, no norm/weightReCiPe 2016 v1.1 Endpoint (I) - Terrestrial ecotoxicityReCiPe 2016 v1.1 Endpoint (I) - Freshwater ecotoxicityReCiPe 2016 v1.1 Endpoint (I) - Marine ecotoxicityReCiPe 2016 v1.1 Endpoint (I) - Human toxicity, non-cancerReCiPe 2016 v1.1 Endpoint (I) - Climate change Freshw Ecosystems, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (I) - Climate change Human Health, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (I) - Climate change Terrest Ecosystems, default, excl biogenic carbonReCiPe 2016 v1.1 Endpoint (I) - Climate change Terrest Ecosystems, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (I) - Climate change Human Health, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (I) - Climate change Freshw Ecosystems, incl biogenic carbonReCiPe 2016 v1.1 Endpoint (I) - Metal depletionReCiPe 2016 v1.1 Endpoint (I) - Photochemical Ozone Formation, Human HealthReCiPe 2016 v1.1 Endpoint (I) - Photochemical Ozone Formation, EcosystemsReCiPe 2016 v1.1 Endpoint (I) - Fossil depletionReCiPe 2016 v1.1 Endpoint (I) - Human toxicity, cancerReCiPe 2016 v1.1 Endpoint (I) - Freshwater Consumption, Human HealthReCiPe 2016 v1.1 Endpoint (I) - Freshwater Consumption, Terrest EcosystemsReCiPe 2016 v1.1 Endpoint (I) - Freshwater Consumption, Freshw EcosystemsReCiPe 2016 v1.1 Endpoint (I) - Stratospheric Ozone DepletionReCiPe 2016 v1.1 Endpoint (I) - Fine Particulate Matter FormationReCiPe 2016 v1.1 Endpoint (I) - Terrestrial AcidificationReCiPe 2016 v1.1 Endpoint (I) - Ionizing RadiationReCiPe 2016 v1.1 Endpoint (I) - Freshwater EutrophicationReCiPe 2016 v1.1 Endpoint (I) - Land useReCiPe 2016 v1.1 Endpoint (I) - Marine EutrophicationIPCC AR5 GWP20, incl biogenic carbonIPCC AR5 GWP100, incl biogenic carbonIPCC AR5 GTP50, incl biogenic carbonIPCC AR5 GTP20, incl biogenic carbonIPCC AR5 GTP100, incl biogenic carbonIPCC AR5 GTP20, Land Use Change only, no norm/weightIPCC AR5 GTP20, incl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GTP50, incl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GWP100, incl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GWP100, Land Use Change only, no norm/weightIPCC AR5 GTP100, incl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GTP50, Land Use Change only, no norm/weightIPCC AR5 GTP100, Land Use Change only, no norm/weightIPCC AR5 GWP20, Land Use Change only, no norm/weightIPCC AR5 GWP20, incl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GWP20, excl biogenic carbonIPCC AR5 GTP20, excl biogenic carbonIPCC AR5 GWP100, excl biogenic carbonIPCC AR5 GTP50, excl biogenic carbonIPCC AR5 GTP100, excl biogenic carbonIPCC AR5 GWP20, Land Use Change only, no norm/weightIPCC AR5 GTP100, Land Use Change only, no norm/weightIPCC AR5 GWP100, Land Use Change only, no norm/weightIPCC AR5 GWP100, excl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GTP20, Land Use Change only, no norm/weightIPCC AR5 GWP20, excl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GTP100, excl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GTP50, Land Use Change only, no norm/weightIPCC AR5 GTP50, excl biogenic carbon, incl Land Use Change, no norm/weightIPCC AR5 GTP20, excl biogenic carbon, incl Land Use Change, no norm/weightBiotic Production Loss Potential (Occupation)Biotic Production Loss Potential (Transformation)Erosion Potential (Occupation)Erosion Potential (Transformation)Groundwater Regeneration Reduction Potential (Occupation)Groundwater Regeneration Reduction Potential (Transformation)Infiltration Reduction Potential (Occupation)Infiltration Reduction Potential (Transformation)Physicochemical Filtration Reduction Potential (Occupation)Physicochemical Filtration Reduction Potential (Transformation)TRACI 2.1, Global Warming Air, incl. biogenic carbonTRACI 2.1, Resources, Fossil fuelsTRACI 2.1, Human toxicity, cancer (recommended)TRACI 2.1, Human toxicity, non-canc. (recommended)TRACI 2.1, Global Warming Air, excl. biogenic carbonTRACI 2.1, Smog AirTRACI 2.1, Ecotoxicity (recommended)TRACI 2.1, AcidificationTRACI 2.1, EutrophicationTRACI 2.1, Human Health Particulate AirTRACI 2.1, Ozone Depletion AirTRACI 2.1, Global Warming Air, excl biogenic carbon, incl LUC, no norm/weightTRACI 2.1, Global Warming Air, LUC only, no norm/weightTRACI 2.1, Global Warming Air, incl biogenic carbon, incl LUC, no norm/weightUBP 2013, Carcinogenic substances into airUBP 2013, Energy resourcesUBP 2013, Global warmingUBP 2013, Heavy metals into airUBP 2013, Heavy metals into soilUBP 2013, Heavy metals into waterUBP 2013, Land useUBP 2013, Main air pollutantsUBP 2013, Mineral resourcesUBP 2013, Non radioactive waste to depositUBP 2013, Ozone layer depletionUBP 2013, Pesticides into soilUBP 2013, POP into waterUBP 2013, Radioactive substances into airUBP 2013, Radioactive substances into waterUBP 2013, Radioactive waste to depositUBP 2013, Water pollutantsUBP 2013, Water resourcesUBP 2013, Global warming, incl Land Use ChangeUBP 2013, Global warming, Land Use Change onlyUSEtox 2.1, Ecotoxicity (recommended and interim)USEtox 2.1, Ecotoxicity (recommended only)USEtox 2.1, Human toxicity, cancer (recommended and interim)USEtox 2.1, Human toxicity, cancer (recommended only)USEtox 2.1, Human toxicity, non-canc. (recommended and interim)USEtox 2.1, Human toxicity, non-canc. (recommended only)AWARE, high characterization factor for unspecified waterAWARE, low characterization factor for unspecified waterAWARE, OECD+BRIC average for unspecified waterBlue water consumptionBlue water useTotal freshwater consumption (including rainwater)Total freshwater useWSI, high characterization factor for unspecified waterWSI, low characterization factor for unspecified waterWSI, OECD+BRIC average for unspecified waterAWARE (excl hydropower), high characterization factor for unspecified waterAWARE (excl hydropower), low characterization factor for unspecified waterAWARE (excl hydropower), OECD+BRIC average for unspecified waterBlue water consumption (excl hydropower)Blue water use (excl hydropower)Total freshwater consumption (excl hydropower, including rainwater)Total freshwater use (excl hydropower)WSI (excl hydropower), high characterization factor for unspecified waterWSI (excl hydropower), low characterization factor for unspecified waterWSI (excl hydropower), OECD+BRIC average for unspecified waterThe LCI method applied is in compliance with ISO 14040 and 14044. The documentation includes all relevant information in view of the data quality and scope of the application of the respective LCI result / data set. The dataset represents the state-of-the-art in view of the referenced functional unit.thinkstepIABP-GaBiIBP-GaBiOverall quality according to different validation schemes
GaBi = 1,5 interpreted into "good overall quality" in the GaBi quality validation scheme
ILCD = 1,7 interpreted into "basic overall quality" in the ILCD quality validation scheme
PEF = 1,5 interpreted into "excellent overall quality" in the PEF quality validation schemeThe dataset and systems, which are provided with our software and databases for public use into a broad user community, are constantly used, compared, benchmarked, screened, reviewed and results published in various external, professional and third party LCA applications in industry, academia and politics. So user feedback via the online GaBi forum or direct via user information is a standard routine in the maintenance and update process and leads to stable quality and constant control and improvement of data, if knowledge or technology improves or industrial process chains develop or change.GaBi user forumGaBi bug forumGaBi user communityGaBi conformity systemFully compliantFully compliantFully compliantFully compliantFully compliantNot definedUNEP SETAC Life Cycle InitiativeNot definedNot definedNot definedNot definedNot definedNot definedILCD Data Network - Entry-levelNot definedFully compliantFully compliantNot definedFully compliantNot definedthinkstepThis background LCI data set can be used for any types of LCA studies.thinkstep2019-02-01T00:00:00.000ILCD format 1.1thinkstepNo official approval by producer or operator2019-02-01T00:00:00.00000.00.001Data set finalised; entirely publishedGaBi databasesthinksteptrueOtherGaBi (source code, database including extension modules and single data sets, documentation) remains property of thinkstep AG. thinkstep AG delivers GaBi licenses comprising data storage medium and manual as ordered by the customer. The license guarantees the right of use for one installation of GaBi. Further installations using the same license are not permitted. Additional licenses are only valid if the licensee holds at least one main license. Licenses are not transferable and must only be used within the licensee's organisation. Data sets may be copied for internal use. The number of copies is restricted to the number of licenses of the software system GaBi the licensee owns. The right of use is exclusively valid for the licensee. All rights reserved.Transistor THT TO92 (250mg) D4.8x5.3Output1.01.00Mixed primary / secondaryCalculatedvaluable