| Key Data Set Information | |
| Location | YL-GX-CN |
| Geographical representativeness description | In this study, the typical wind farm system in Yulin City of Guangxi of Zhuang Autonomous Region China was selected as a case study site. The developer, namely, China Huadian Corporation, is a state-owned enterprise and devotes to develop wind power by providing wind power equipment and related service in China [37]. |
| Reference year | 2012 |
| Name |
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| Use advice for data set | When utilizing this dataset for life cycle assessment, consider the detailed segmentation of the wind power system's life cycle into its various stages to accurately model the energy and material flows. For environmental impact assessments, use the provided indicators for CO2, SO2, NOX, and PM10 emissions along with the economic evaluation based on the monetary value per kilowatt-hour of electricity generated. Ensure adherence to the methodological approaches outlined for assessing co-benefits. Cross-reference with feasibility reports for data reliability and take note of the system boundaries defined for wind energy and thermal power comparison. Adjust the data as necessary based on geographical and temporal changes. |
| Technical purpose of product or process | This dataset describes the life cycle of wind power systems used for electricity generation, including key stages such as production, transportation and installation, operation, maintenance, and end-of-life recycling and disposal. The wind farm, operated by China Huadian Corporation, features turbines with a capacity of 1.25 MW each and is designed to support the energy grid with renewable power for a duration of 20 years. The process inputs non-renewable energy at various phases and takes into account raw material and fossil fuel consumption, emissions, and cost-effectiveness which are critical for the operation. |
| Classification |
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| General comment on data set | 文献里只提供了部分污染物排放数据，未提供原材料和能源消耗清单 |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Functional Unit | For example, the generation of 1 kW h (kW h) of electricity is adapted as the functional unit in this study, and the corresponding amounts of CO2 emissions and air pollutants (SO2,NOX and PM10)perkWh of electricity are chosen as the indicators for environmental performances, and the monetary value (US$) of per kW h of electricity is chosen as the indicator for cost-effectiveness evaluation. |
| 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 | According to Introduced by the life cycle assessment approach [34,35], firstly the system boundaries boundary of wind energy as well as and thermal power are first identified. Then, methodology on evaluating both environmental and economic benefits is presented so that co-benefits can be quantified followed by the introduction of the methodologies on environmental as well as economic impacts evaluation from the co-benefits perspective. | ||||
| 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 | This wind farm is equipped with 24 wind turbines, with a production capacity of 1.25 MW for each turbine, and t the operation life for each turbine is expected to be 20 years. The life cycle of one wind power system can be divided into five stages, including (1) production, (2) transportation and installation, (3) power generation, (4) maintenance, and (5) end-of-life recycling and disposal. The input of non-renewable energy has been shown in each stage. In this study, raw material, fossil fuel consumption and corresponding emissions have been taken into account of a life cycle process. Meanwhile, cost-effectiveness of a wind farm is considered because the cost plays a very important role in operating a wind farm [38]. Considering the data reliability and availability, the cost data of this wind farm was mainly extracted from a feasibility report of one wind farm (with a designed capacity of the 49.5 MW) in Kang ping County of Liaoning province [39]. | ||||
| Deviation from data selection and combination principles / explanations | None | ||||
| Deviation from data treatment and extrapolations principles / explanations | None | ||||
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| Completeness | |||||
| Completeness of product model | No statement | ||||
| Validation | |||||
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| Time stamp (last saved) | 2024-01-11T18:43:09+08:00 |
| Publication and ownership | |
| UUID | c13fdcdf-23be-4830-b4aa-96629abf0502 |
| Date of last revision | 2024-04-20T14:59:50.635937+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=c13fdcdf-23be-4830-b4aa-96629abf0502&version=01.00.000&stock=TianGong |
| Owner of data set | |
| Copyright | No |
| License type | Free of charge for all users and uses |
Inputs
Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
|---|---|---|---|---|---|---|---|---|---|
| Product flow | Materials production / Raw materials | 1.0 kg | 1.0 kg | ||||||
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| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 7.57 kg | 7.57 kg | ||||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.0504 kg | 0.0504 kg | ||||||
| Elementary flow | Emissions / Emissions to air / Emissions to lower stratosphere and upper troposphere | 0.0154 kg | 0.0154 kg | ||||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.024 kg | 0.024 kg | ||||||