| Key Data Set Information | |
| Location | GX-CN |
| Reference year | 2019 |
| Name |
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| Use advice for data set | When using this data set, users should take into account the proportion of the various power generation methods within the mix when assessing environmental impact, since each source has a different environmental footprint. The data is suitable for regional life cycle assessments and should be used to represent the average electricity supply in Guangxi. If the assessment is aimed at specific types of electricity consumption, users should modify the mix according to actual consumption profiles if detailed data is available. Consider the time boundary of the data and update it periodically to reflect changes in the energy mix. |
| Technical purpose of product or process | The electricity mix data set represents the comprehensive profile of electric power generation in the Guangxi Zhuang Autonomous Region. The mix includes power produced by thermal, hydro, wind, nuclear, and solar means. This mix is crucial for understanding the environmental impact of power consumption in the region and for services, products, or processes that rely on the regional grid. Examples include electricity consumption of factories, residential buildings, and infrastructure projects that utilize the public power 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 | dda8e0f7-7ae6-4514-911e-66f7fc09da08 |
| Date of last revision | 2024-04-20T15:11:25.039174+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=dda8e0f7-7ae6-4514-911e-66f7fc09da08&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 | 1.9623168000000002 MJ | 1.9623168000000002 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 1.1561256 MJ | 1.1561256 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.3353364 MJ | 0.3353364 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.118926 MJ | 0.118926 MJ | ||||||
| |||||||||
| Product flow | Energy carriers and technologies / Electricity | 0.027295200000000002 MJ | 0.027295200000000002 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 | ||||||
| |||||||||