| Key Data Set Information | |
| Location | CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | When using this dataset for Life Cycle Assessment, data users should consider the proportions of the electricity mix based on current or projected generation data. It is important to note regional variations within China which might affect the applicability of the data for specific geographies. The temporal relevancy of the data should also be examined as the electricity mix can vary over time. The inclusion or exclusion of upstream processes (e.g., fuel extraction for thermal generation) and downstream processes (e.g., waste treatment and decommissioning) should be well-documented and consistent with the goal and scope of the assessment. |
| Technical purpose of product or process | This dataset represents the mixed electricity generation in China, which includes a range of generation methods such as thermal (coal, gas, and oil-fired), hydroelectric, wind, nuclear, and solar power. The electricity mix is applicable to various sectors including residential, commercial, and industrial contexts where electricity sourced from the national grid is utilized. |
| 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) | 2024-04-06T17:10:29+08:00 |
| Publication and ownership | |
| UUID | 0aa8c769-a04a-4e76-897a-2b1051cb9344 |
| Date of last revision | 2024-04-20T15:11:25.051626+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=0aa8c769-a04a-4e76-897a-2b1051cb9344&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 | 2.5050788280000003 MJ | 2.5050788280000003 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.625982256 MJ | 0.625982256 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.167170896 MJ | 0.167170896 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.19484928 MJ | 0.19484928 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.10691874000000001 MJ | 0.10691874000000001 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 | ||||||
| |||||||||