| 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 utilizing the life cycle inventory data on the manufacture of the large transformers, users should ensure that the system boundaries are compatible with the intended scope of the LCA study. This data should reflect the energy consumption and pollutant emissions during the production phase of the transformers, as specified by Xue et al. (2015). Users should consider the environmental impact and substitution effects of these transformers within the broader context of a wind power generation system as demonstrated in the case study of a 1.5 MW wind turbine-equipped wind farm in the northeast of Inner Mongolia. Assumptions based on data collected from Wang (2012) and Xia and Song (2017) should be critically assessed for current validity and relevance to the specific LCA application. |
| Technical purpose of product or process | The large transformers manufactured in this industrial process are designed for deployment within wind power generation facilities. Specifically, these transformers are suited for integration into substations associated with wind farms that utilize 1.5 megawatts (MW) wind turbines. These transformers are essential components for stepping up the voltage of generated electricity to levels suitable for long-distance transmission and distribution within power grids. |
| Classification |
Class name
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Hierarchy level
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| General comment on data set | The large transformers manufactured in this industrial process are designed for deployment within wind power generation facilities. Specifically, these transformers are suited for integration into substations associated with wind farms that utilize 1.5 megawatts (MW) wind turbines. These transformers are essential components for stepping up the voltage of generated electricity to levels suitable for long-distance transmission and distribution within power grids. |
| 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) | 2023-12-18T13:07:03+08:00 |
| Publication and ownership | |
| UUID | 7a1852d2-45f1-4e87-940e-84308223f1a2 |
| Date of last revision | 2024-04-20T14:59:50.739013+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=7a1852d2-45f1-4e87-940e-84308223f1a2&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 | 72000.0 kg | 72000.0 kg | ||||||
| Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 288000.0 kg | 288000.0 kg | ||||||
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Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
|---|---|---|---|---|---|---|---|
| Product flow | Systems / Electrics and electronics | 8.0 Item(s) | 8.0 Item(s) |