| Key Data Set Information | |
| Location | CQ-CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | For Life Cycle Assessment (LCA) practitioners, when modeling the environmental impacts of products or services relying on utilities from the Chongqing electricity mix, it is essential to consider the proportional contribution of each generation type (thermal, hydro, wind, nuclear, and solar) to the overall mix, as this influences the environmental impacts such as greenhouse gas emissions and resource depletion. Seasonal and time-of-use variations in energy sources should also be considered. Data users should align their impact assessment models according to the regional electricity consumption patterns and the technological applicability of the varied generation methods integrated within the Chongqing electricity grid. |
| Technical purpose of product or process | The described industrial process pertains to mixed electricity production in Chongqing, which includes various forms such as thermal (likely coal or natural gas-fired power plants), hydroelectric, wind, nuclear, and solar power generation. This mixed electricity supply is used for residential, commercial, and industrial purposes within the region. The diversity of generations methods indicates application in grid energy supply, ensuring reliability and meeting the varying demand patterns of Chongqing's consumers and industries. |
| 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 | 27c56fab-ed64-4eb5-ba6e-37b9310fa0ec |
| Date of last revision | 2024-04-20T15:11:25.012270+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=27c56fab-ed64-4eb5-ba6e-37b9310fa0ec&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 | 2.4603804 MJ | 2.4603804 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 1.0775376 MJ | 1.0775376 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.0 MJ | 0.0 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.048776400000000004 MJ | 0.048776400000000004 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.013302 MJ | 0.013302 MJ | ||||||
| |||||||||
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 | ||||||
| |||||||||