| Key Data Set Information | |
| Location | SH-CN |
| Geographical representativeness description | The studied wind farm, the Donghai Bridge Offshore Wind Farm (DBOWF), is China's first offshore wind farm within the jurisdiction of Shanghai, as well as the first offshore wind farm outside Europe. The project has two-phases of construction, located on each side of the Donghai bridge (Fig. 1). |
| Reference year | 2009 |
| Name |
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| Use advice for data set | Users of this LCA data set should consider the entire cradle-to-grave process, including manufacturing, transportation and installation, operation and maintenance, and dismantling and recycling stages of the wind turbines. Careful attention should be paid to the technical parameters provided from design documents, as well as the calculated sea transportation energy. It is essential to take into account the facility installation energy, emissions data, and operation and maintenance schedules. When using this data, incorporate the frequency and duration of maintenance operations as observed in site investigations. Additionally, users must consider the uncertainties presented in the sensitivity analysis section when applying model parameters and input data to ensure the reliability of their assessments. |
| Technical purpose of product or process | The 5 MW wind turbine described is intended for large-scale energy generation within offshore wind farms. Specifically, it serves as a key component in the Donghai Bridge Offshore Wind Farm (DBOWF), which is a notable offshore wind project in China adjacent to the Donghai Bridge. This wind turbine is utilized for on-grid electricity provision, helping to supply clean, renewable power to the electrical grid. |
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| General comment on data set | The 5 MW wind turbine described is intended for large-scale energy generation within offshore wind farms. Specifically, it serves as a key component in the Donghai Bridge Offshore Wind Farm (DBOWF), which is a notable offshore wind project in China adjacent to the Donghai Bridge. This wind turbine is utilized for on-grid electricity provision, helping to supply clean, renewable power to the electrical grid. |
| Copyright | No |
| Owner of data set | |
| Quantitative reference | |
| Reference flow(s) |
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| Functional Unit | The functional unit is 1 kWh on-grid electricity provision. |
| 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 | The present study employed the PLCA modeling approach to calculate the energy and environmental emissions of a typical offshore wind farm in China. The cradle-to-grave process includes four stages, materials and equipment manufacturing, transportation and installation, operation and maintenance, and dismantling and recycling (Fig. 2). | ||||
| 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 technical parameters of wind turbines, foundations and cables are obtained from the design documents of the DBOWF (Table 2). For key materials and equipment, their sea transportation energy is calculated from the transportation load and shipping energy intensity. The facility installation energy and emissions were estimated based on the construction plan. The wind farm's operation and maintenance data, such as the frequency and working time of maintenance, were obtained from site investigations with engineers and technicians. The uncertainties associated with model parameters and input data are illustrated in the sensitivity analysis section of this paper. | ||||
| 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 | |
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| Time stamp (last saved) | 2024-04-19T20:05:46+08:00 |
| Publication and ownership | |
| UUID | a109401a-34fe-4828-b79a-4bc2616927ce |
| Date of last revision | 2024-04-20T14:59:50.650980+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=a109401a-34fe-4828-b79a-4bc2616927ce&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 | ||
|---|---|---|---|---|---|---|---|---|---|
| Product flow | Materials production / Raw materials | 242000.0 kg | 242000.0 kg | ||||||
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| Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 118800.0 kg | 118800.0 kg | ||||||
| Product flow | Materials production / Raw materials | 495300.0 kg | 495300.0 kg | ||||||
| Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 1000.0 kg | 1000.0 kg | ||||||
| Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 9600.0 kg | 9600.0 kg | ||||||
Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
|---|---|---|---|---|---|---|---|
| Product flow | Systems / Other machines | 1.0 Item(s) | 1.0 Item(s) |