| Key Data Set Information | |
| Location | GS-CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | When applying this data set in Life Cycle Assessment, users should ensure inclusion of all electricity generation sources as detailed, reflecting the actual consumption mix. If the LCA concerns a specific period, users must verify if the mix corresponds to that period accurately. Attention must be paid to the methodological consistency, especially regarding system boundaries and potential electricity exports or imports not accounted for in this data. The technological applicability, in terms of advancement and efficiency of generation, should also be consistent with the studied system. |
| Technical purpose of product or process | This data set represents the electricity mix of Gansu province generated from various sources including thermal, hydro, wind, nuclear, and solar power. It is intended for use in quantifying the environmental impact of electricity consumption in products and services that are sourced or manufactured within Gansu or are utilizing Gansu's electricity mix in their life cycle. |
| Classification |
Class name
:
Hierarchy level
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| General comment on data set | Electricity mix includes thermal, hydro, wind, nuclear and solar generation |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Technological representativeness | |
| 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) | 2024-04-06T10:18:11+08:00 |
| Publication and ownership | |
| UUID | 290f82db-1a3e-4eb9-8d33-c807a407671b |
| Date of last revision | 2024-04-20T15:11:25.021511+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=290f82db-1a3e-4eb9-8d33-c807a407671b&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 | ||
|---|---|---|---|---|---|---|---|---|---|
| Product flow | Energy carriers and technologies / Electricity | 1.7833535999999999 MJ | 1.7833535999999999 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 1.0701396 MJ | 1.0701396 MJ | ||||||
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| Product flow | Energy carriers and technologies / Electricity | 0.0 MJ | 0.0 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.4919184 MJ | 0.4919184 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.25458840000000005 MJ | 0.25458840000000005 MJ | ||||||
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Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
|---|---|---|---|---|---|---|---|---|---|
| Product flow | Energy carriers and technologies / Electricity | 3.6 MJ | 3.6 MJ | ||||||
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