| Key Data Set Information | |
| Location | BJ-CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | Users of this dataset should consider the specific electricity generation mix when applying this data for lifecycle assessments or carbon footprint calculations. The geographical specificity of the data to Beijing should be taken into account, as the mix and environmental impact can differ significantly from other regions. Users should also note that the future evolution of the electricity mix, such as increases in renewable energy sources, may affect the relevancy of the data over time. For accurate results, periodic updates from local energy statistics should be incorporated to reflect the current electricity mix. |
| Technical purpose of product or process | This dataset represents the electricity mix production in Beijing, which is used for a variety of applications ranging from residential and commercial power supply to industrial power requirements. The electricity is generated through a mix of thermal, hydro, wind, nuclear, and solar power plants and may be used by organizations for assessing the environmental impact of their electricity consumption. |
| 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) | 2024-04-06T10:18:02+08:00 |
| Publication and ownership | |
| UUID | 7ab2aa31-91ff-4843-9e65-56865e6836a0 |
| Date of last revision | 2024-04-20T15:11:24.947646+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=7ab2aa31-91ff-4843-9e65-56865e6836a0&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 | 3.4594416000000003 MJ | 3.4594416000000003 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.0780876 MJ | 0.0780876 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.0 MJ | 0.0 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.0234252 MJ | 0.0234252 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.0390456 MJ | 0.0390456 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 | ||||||
| |||||||||