Key Data Set Information | |
Location | FJ-CN |
Reference year | 2019 |
Name |
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Use advice for data set | Users applying this data must account for the regional and temporal specificity of the electricity mix in Fujian. The proportion of each generation type (thermal, hydro, wind, nuclear, solar) should be considered and may change over time. Inclusion of upstream and downstream processes, such as fuel extraction and end-of-life of infrastructure, should be considered based on the goal and scope of the Life Cycle Assessment (LCA). Users should be aware of the methodological differences in assessing the environmental impacts of each generation type and apply consistent methods within their LCA study. |
Technical purpose of product or process | This dataset describes the generation of electricity through a mixed energy grid in Fujian, China. The electricity produced by this process can be used for residential, commercial, industrial, and public services. It is suitable for applications requiring electricity from a mix of sources including thermal (most likely coal, gas or oil-fired plants), hydroelectric, wind, nuclear, and solar power generation. |
Classification |
Class name
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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 | 2f580165-5f1e-4314-8e3d-2009f57ad214 |
Date of last revision | 2024-04-20T15:11:24.994843+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=2f580165-5f1e-4314-8e3d-2009f57ad214&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 | ||
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Product flow | Energy carriers and technologies / Electricity | 1.9680444000000001 MJ | 1.9680444000000001 MJ | ||||||
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Product flow | Energy carriers and technologies / Electricity | 0.6186312 MJ | 0.6186312 MJ | ||||||
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Product flow | Energy carriers and technologies / Electricity | 0.8691624 MJ | 0.8691624 MJ | ||||||
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Product flow | Energy carriers and technologies / Electricity | 0.1217664 MJ | 0.1217664 MJ | ||||||
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Product flow | Energy carriers and technologies / Electricity | 0.0223956 MJ | 0.0223956 MJ | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Energy carriers and technologies / Electricity | 3.6 MJ | 3.6 MJ | ||||||
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