Key Data Set Information | |
Location | CN |
Geographical representativeness description | In this study, an onshore 40 MW wind farm with 20 2WM wind turbines in North China was selected as the research object. |
Reference year | 2018 |
Name |
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Use advice for data set | Users of this LCA data set should ensure the proper application of process-based lifecycle assessment methodologies, adhering to the standards outlined in ISO 14040 and ISO 14044. Attention must be given to the average input material types and quantities as representative for current Chinese wind farms, using the specific data points provided for accurate impact assessment. GHG emission factors must be sourced from reliable databases such as GaBi for applicability and consistency. It is important to define the functional unit properly as the wind turbine's ability to supply 2 MW power to ensure comparability and relevance in LCA studies. |
Technical purpose of product or process | The manufacturing process described pertains to the assembly of wind turbines specifically designed for large-scale wind farms. This process involves the production of 20 units of 2 MW wind turbines, suitable for deployment in an onshore 40 MW wind farm. The technical usage of these turbines is for the generation of renewable energy by harnessing wind power, supplying electricity to the grid, and contributing to sustainable development goals. |
Classification |
Class name
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Hierarchy level
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General comment on data set | The manufacturing process described pertains to the assembly of wind turbines specifically designed for large-scale wind farms. This process involves the production of 20 units of 2 MW wind turbines, suitable for deployment in an onshore 40 MW wind farm. The technical usage of these turbines is for the generation of renewable energy by harnessing wind power, supplying electricity to the grid, and contributing to sustainable development goals. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | The functional unit is 2 MW wind turbine. |
Technological representativeness |
LCI method and allocation | |||||
Type of data set | Unit process, black box | ||||
LCI Method Principle | Attributional | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviations from LCI method approaches / explanations | A process-based LCA, which follows the principles of ISO 14040[33] and ISO 14044 [34], was used to calculate the GHG emissions of wind turbines over the entire life cycle. | ||||
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 types and quantities of materials invested in this wind farm represent the average level of types and quantities of materials that are currently invested in wind farms in China (Table 2). All data used for the wind farm analysis were acquired from surveys. The GHG emission coefficients of the various materials were derived from the GaBi (a commercial software for LCA) database. | ||||
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) | 2023-12-18T13:20:58+08:00 |
Publication and ownership | |
UUID | 7f5d2179-6e79-4c2e-b59d-53823552868a |
Date of last revision | 2024-04-20T14:59:50.822377+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=7f5d2179-6e79-4c2e-b59d-53823552868a&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 | Materials production / Raw materials | 5928000.0 kg | 5928000.0 kg | ||||||
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Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 787000.0 kg | 787000.0 kg | ||||||
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Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 48000.0 kg | 48000.0 kg | ||||||
Product flow | Materials production / Raw materials | 200000.0 kg | 200000.0 kg | ||||||
Product flow | Wastes / Production residues | 48000.0 kg | 48000.0 kg | ||||||
Product flow | Materials production / Plastics | 486000.0 kg | 486000.0 kg | ||||||
Product flow | Systems / Construction | 2.328E7 kg | 2.328E7 kg |
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Systems / Other machines | 20.0 Item(s) | 20.0 Item(s) | ||||||
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