| Key Data Set Information | |
| Location | GD-CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | When utilizing this data for Life Cycle Assessment, users should consider the specific mix of electricity sources and their respective environmental impacts. Regional differences in generation sources such as the proportion of renewable to non-renewable sources in Guangdong's mix must be accounted for. The inclusion of recycling processes should be considered where applicable, as should the assumed operational lifetime for the various generation technologies present in the mix. Users are advised to update the data regularly to reflect the changing energy mix and technology improvements. |
| Technical purpose of product or process | The electricity mix from Guangdong is utilized for a diverse range of applications across residential, commercial, and industrial sectors. This includes daily electricity needs such as lighting, heating, and cooling systems, as well as for operating machinery, electronic devices, and for powering industrial operations that require a reliable electricity supply. |
| 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 | a976ee9d-b890-4bc1-93d2-e649a723dd46 |
| Date of last revision | 2024-04-20T15:11:25.036165+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=a976ee9d-b890-4bc1-93d2-e649a723dd46&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 | 2.4412068 MJ | 2.4412068 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.2822328 MJ | 0.2822328 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.7862724 MJ | 0.7862724 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.052606799999999995 MJ | 0.052606799999999995 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.0376776 MJ | 0.0376776 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 | ||||||
| |||||||||