| Key Data Set Information | |
| Location | NMG-CN |
| Geographical representativeness description | The data regarding the parameters of wind power has been collected from Wang (2012). A wind farm equipped with 33 domestic 1.5 megawatts (MW) wind turbines is regarded as a case study to analyze the environmental impact and its substitution effects. The wind farm is located in the northeast of Inner Mongolia, the province in which most of China’s wind power is installed (Xia and Song, 2017). |
| Reference year | 2017 |
| Name |
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| Use advice for data set | When using the LCA data set for the manufacturing process of the nose-cone for a 1.5 MW wind turbine, it is crucial to ensure that all assumptions and parameters from the underlying studies are consistent with the scope of your assessment. Be aware that the environmental impacts are specific to the production conditions in Inner Mongolia and that they take into account regional energy mixes and technological practices. If applying the data in a different context, adjustments may be required to reflect local conditions. Attention should be given to changes over time in technological practices and emission factors which may affect the relevance of the data set. |
| Technical purpose of product or process | The nose-cone manufactured in this process is designed specifically for use in 1.5 MW wind turbines. This component contributes to the aerodynamic performance and protection of the turbine's internal components. These wind turbines are typically deployed in large-scale wind farms for the generation of renewable energy, as exemplified by the wind farm consisting of 33 domestic 1.5 MW wind turbines located in the northeast of Inner Mongolia. |
| Classification |
Class name
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Hierarchy level
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| General comment on data set | The nose-cone manufactured in this process is designed specifically for use in 1.5 MW wind turbines. This component contributes to the aerodynamic performance and protection of the turbine's internal components. These wind turbines are typically deployed in large-scale wind farms for the generation of renewable energy, as exemplified by the wind farm consisting of 33 domestic 1.5 MW wind turbines located in the northeast of Inner Mongolia. |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Functional Unit | The functional unit is 1.5 MW wind turbine |
| Technological representativeness | |
| LCI method and allocation | |||||
| Type of data set | Unit process, single operation | ||||
| LCI Method Principle | Attributional | ||||
| Deviation from LCI method principle / explanations | None | ||||
| Deviations from LCI method approaches / explanations | The life cycle inventory for wind power is illustrated as follows. The production and manufacturing stage include the production of wind turbines, substations, and cables, which consume a large amount of energy and emit pollutants (Xue et al., 2015). | ||||
| Deviation from modelling constants / explanations | None | ||||
| Data sources, treatment and representativeness | |||||
| Deviation from data cut-off and completeness principles / explanations | None | ||||
| Data selection and combination principles | The data regarding the parameters of wind power has been collected from Wang (2012). A wind farm equipped with 33 domestic 1.5 megawatts (MW) wind turbines is regarded as a case study to analyze the environmental impact and its substitution effects. The wind farm is located in the northeast of Inner Mongolia, the province in which most of China’s wind power is installed (Xia and Song, 2017). | ||||
| 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) | 2023-12-18T13:03:29+08:00 |
| Publication and ownership | |
| UUID | eec9d493-eb3a-47be-909a-6e7b8734aa46 |
| Date of last revision | 2024-04-20T14:59:50.718451+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=eec9d493-eb3a-47be-909a-6e7b8734aa46&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 | ||
|---|---|---|---|---|---|---|---|---|---|
| Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 3000.0 kg | 3000.0 kg | ||||||
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Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
|---|---|---|---|---|---|---|---|
| Product flow | Systems / Other machines | 1.0 Item(s) | 1.0 Item(s) |