Key Data Set Information | |
Location | CN |
Name |
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Use advice for data set | Users of this data set should take into account the specificity of the grinding and screening process for the fragment mixture. Considerations must include the particle size distribution resulting from the process, potential losses during screening, and energy consumption. Ensure appropriate allocation of environmental impacts when this unit process is integrated into a larger system. Recycling or reuse of the processed material, if applicable, should be clearly defined and considered in the overall life cycle assessment. |
Technical purpose of product or process | The data set describes a process primarily used for the grinding and screening of a fragment mixture in an industrial setting. This unit process, involving a single operation, can be applied to various sectors where fine particulate material is required, such as in construction material manufacturing, pharmaceutical production, or for preparing raw materials in metallurgy. |
Classification |
Class name
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Hierarchy level
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General comment on data set | The data set describes a process primarily used for the grinding and screening of a fragment mixture in an industrial setting. This unit process, involving a single operation, can be applied to various sectors where fine particulate material is required, such as in construction material manufacturing, pharmaceutical production, or for preparing raw materials in metallurgy. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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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 | ||||
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) | 2023-12-21T13:31:26+08:00 |
Publication and ownership | |
UUID | cb5e2e7c-641b-434c-913c-1c794a882464 |
Date of last revision | 2024-04-20T14:57:22.608686+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=cb5e2e7c-641b-434c-913c-1c794a882464&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 | Emissions / Metal and semimetal elements and ions | 641.63 kg | 641.63 kg | ||||||
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Product flow | Energy carriers and technologies / Electricity | 12.420000000000002 MJ | 12.420000000000002 MJ |
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Waste flow | Wastes / Production residues | 505.4 kg | 505.4 kg | ||||||
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Product flow | Emissions / Metal and semimetal elements and ions | 28.89 kg | 28.89 kg | ||||||
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Waste flow | Wastes / Post consumer waste | 107.34 kg | 107.34 kg | ||||||
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Product flow | Wastes / Radioactive waste | 10.11 kg | 10.11 kg | ||||||
Product flow | Emissions / Inorganic covalent compounds | 0.00278 kg | 0.00278 kg | ||||||
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Elementary flow | Emissions / Emissions to water / Emissions to water, unspecified | 0.11372 kg | 0.11372 kg | ||||||
Elementary flow | Emissions / Emissions to water / Emissions to water, unspecified | 2.5E-4 kg | 2.5E-4 kg |