| 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 | Users of this data set should account for geographic specificity when applying the environmental impact and substitution analyses to other regions. Consideration should be given to the methodological advice regarding the inclusion or exclusion of recycling practices in the assessment and the modeling of use phase behavior for wind turbines. Users should note that the life cycle inventory data covers the production and manufacturing stage, including the production of wind turbines, substations, and cables, and their associated energy consumption and emissions as detailed by Xue et al. (2015). The functional unit for assessment is defined as a 1.5 MW wind turbine. |
| Technical purpose of product or process | The data set presents information relevant to the production of cement and the operation of a total wind farm. It is specifically applicable to the analysis of environmental impacts and substitution effects for a wind farm with 33 domestic turbines, each with a capacity of 1.5 MW, used in generating renewable energy. This information may support studies and development related to the sustainability of wind power generation, particularly in regions similar to the northeast of Inner Mongolia where wind installations are prevalent. |
| Classification |
Class name
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Hierarchy level
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| General comment on data set | The data set presents information relevant to the production of cement and the operation of a total wind farm. It is specifically applicable to the analysis of environmental impacts and substitution effects for a wind farm with 33 domestic turbines, each with a capacity of 1.5 MW, used in generating renewable energy. This information may support studies and development related to the sustainability of wind power generation, particularly in regions similar to the northeast of Inner Mongolia where wind installations are prevalent. |
| 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) | 2023-12-18T13:15:06+08:00 |
| Publication and ownership | |
| UUID | aaf128a2-aaae-4176-903d-f08c98e1eeef |
| Date of last revision | 2024-04-20T14:59:50.784185+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=aaf128a2-aaae-4176-903d-f08c98e1eeef&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 / Renewable energy resources from ground | 6.726719999999999 MJ | 6.726719999999999 MJ |
Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
|---|---|---|---|---|---|---|---|
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 604.0 kg | 604.0 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.372 kg | 0.372 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to urban air close to ground | 1.92 kg | 1.92 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to non-urban air or from high stacks | 0.341 kg | 0.341 kg | ||||
| Product flow | Materials production / Other mineralic materials | 1.0 kg | 1.0 kg |