Key Data Set Information | |
Location | JS-CN |
Reference year | 2020 |
Name |
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Use advice for data set | Users of the LCA data for aluminum electrolytic capacitor production should note that the inventory data reflects operations at a specific factory in Jiangsu Province, China, and may not be representative of all production locations. It includes inputs such as raw material consumption, energy use, and outputs including potential emissions. The reference years for upstream data (aluminum ingots and Chinese electricity grid profiles) are 2015 and 2016 respectively; these should be considered when modeling the environmental impact over different time frames. Care should be taken when applying the data to ensure it aligns accordingly with the regional and temporal context of the product life cycle. Additionally, inaccessible data about certain chemicals was estimated; this should be taken into account when accurate emission data is critical. |
Technical purpose of product or process | Aluminum electrolytic capacitors produced in this process are used for a variety of electronic equipment due to their high voltage and capacitance properties. Typically, they are found in power supplies, inverters, and other devices requiring stable and long-lasting energy storage solutions. The capacitors, especially the 420V 680uf units, are designed for specific applications that demand reliable performance in energy regulation and circuit functionality. |
Classification |
Class name
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Hierarchy level
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General comment on data set | 组装(包括套管) ; 铝电解电容器 (AEC) 生产 ; 420V 680uf |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Time representativeness | |
Time representativeness description | The investigated manufacturer produced about 1.183 billion AECs of all kinds in 2020. |
Technological representativeness | |
Flow diagram(s) or picture(s) |
LCI method and allocation | |||||
Type of data set | Unit process, single operation | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviation from modelling constants / explanations | None | ||||
Data sources, treatment and representativeness | |||||
Deviation from data cut-off and completeness principles / explanations | None | ||||
Data selection and combination principles | The inventory data of capacitor production come from the AECs’ production factory in Jiangsu Province, China. The cut-off criteria of LCI data collection for each process is coverage of at least 95% of the mass and energy of the input and output flows. The inventory data of anode foil production and cathode foil production is obtained based on the analysis of the manufacturing processes and corresponding process parameters. The upstream data (i.e., aluminum ingots, separator paper, transport, electricity, and water) are acquired from the Gabi software (Version: 10.6.1.35). In detail, the profile of Chineses electricity grid from the China Electric Power Yearbook adopts the reference year 2016. The reference year of aluminum ingot production is 2015. The inaccessible data about ammonium citrate, ammonium pentaborate, NH4H2PO4, and HBO3 are estimated based on chemical equations using the existing materials (reactants) in the Gabi software. The use and end-of-life stage inventory data are obtained based on analysis and calculation. | ||||
Deviation from data selection and combination principles / explanations | None | ||||
Deviation from data treatment and extrapolations principles / explanations | None | ||||
Data source(s) used for this data set | |||||
Completeness | |||||
Completeness of product model | No statement | ||||
Validation | |||||
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Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2024-05-01T17:10:27+08:00 |
Publication and ownership | |
UUID | 274c0c2e-40a0-43f3-8ae0-e15e46a5e7a9 |
Date of last revision | 2024-05-13T14:41:28.677052+08:00 |
Data set version | 01.00.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=274c0c2e-40a0-43f3-8ae0-e15e46a5e7a9&version=01.00.000&stock=TianGong |
Owner of data set | |
Copyright | No |
License type | Free of charge for all users and uses |
Inputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Energy carriers and technologies / Electricity | 5.0004 MJ | 5.0004 MJ | ||||||
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Product flow | Materials production / Plastics | 2.37 kg | 2.37 kg | ||||||
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Product flow | End-of-life treatment / Material recycling | 9.46 m3 | 9.46 m3 | ||||||
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Product flow | Materials production / Metals and semimetals | 0.06 m3 | 0.06 m3 | ||||||
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Product flow | Materials production / Metals and semimetals | 0.15 kg | 0.15 kg | ||||||
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Product flow | Materials production / Plastics | 0.961 kg | 0.961 kg | ||||||
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Product flow | Materials production / Metals and semimetals | 1000.0 kg | 1000.0 kg | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Systems / Electrics and electronics | 980.1 kg | 980.1 kg | ||||||
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Waste flow | Wastes / Production residues | 19.9 Item(s) | 19.9 Item(s) | ||||||
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