| 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, users should adhere to the system boundaries as defined for wind energy and thermal power within the study. Users need to apply the provided life cycle assessment methodology for the evaluation of environmental and economic impacts. This includes considering the raw material consumption, energy use, and emissions across the life cycle—a functional unit of 1 kWh of electricity generation. For cost-effectiveness analysis, the monetary value of electricity per kWh should be considered. It is essential to account for the reliability and availability of the data, particularly cost data which is derived from the feasibility report of a wind farm in Kangping County, Liaoning Province. |
| Technical purpose of product or process | This dataset represents the life cycle of a wind power generation system within a typical wind farm in Yulin City, Guangxi Zhuang Autonomous Region, China. This system is used in the evaluation of environmental and economic performance of wind energy as compared to thermal power. The production process of both epoxy resin and polypropylene is involved as part of the manufacturing stage of the wind turbines' components. These materials are commonly used in the construction of wind turbine blades and components, owing to their strength, durability, and resistance to environmental factors. |
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| General comment on data set | This dataset represents the life cycle of a wind power generation system within a typical wind farm in Yulin City, Guangxi Zhuang Autonomous Region, China. This system is used in the evaluation of environmental and economic performance of wind energy as compared to thermal power. The production process of both epoxy resin and polypropylene is involved as part of the manufacturing stage of the wind turbines' components. These materials are commonly used in the construction of wind turbine blades and components, owing to their strength, durability, and resistance to environmental factors. |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Functional Unit | 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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| Data generator | |
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| Time stamp (last saved) | 2023-12-18T13:10:09+08:00 |
| Publication and ownership | |
| UUID | 49f8b4d3-caf0-4e23-abaa-48b687b1d763 |
| Date of last revision | 2024-04-20T14:59:50.751784+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=49f8b4d3-caf0-4e23-abaa-48b687b1d763&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 / Plastics | 1.0 kg | 1.0 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 3.94 kg | 3.94 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to lower stratosphere and upper troposphere | 0.0147 kg | 0.0147 kg | ||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.0229 kg | 0.0229 kg |