| 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 | The LCA data provided for the DBOWF should be used with consideration for the unique conditions of an offshore wind farm. Users must take into account the transportation energy involved in shipping materials and equipment to the offshore site, which may differ significantly from onshore projects. Additionally, the installation energy and emission estimates are based on the specifics of the DBOWF's construction plan, and may not be reflective of other projects. The data concerning operation and maintenance come from direct site investigations and should be used to guide expectations for similar projects. Uncertainties present in the model parameters and input data that could impact the sensitivity analysis section should be carefully evaluated when applying this data to other contexts. |
| Technical purpose of product or process | The submarine cables manufactured for the Donghai Bridge Offshore Wind Farm (DBOWF) serve as conduits for electrical transmission from China's first offshore wind farm to the mainland power grid. They are specifically designed for underwater applications, ensuring stable and efficient energy transfer over long distances in a marine environment. The cables are integral to the wind farm's infrastructure and facilitate the generation of on-grid electricity by connecting wind turbines to the energy distribution network. |
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| General comment on data set | The submarine cables manufactured for the Donghai Bridge Offshore Wind Farm (DBOWF) serve as conduits for electrical transmission from China's first offshore wind farm to the mainland power grid. They are specifically designed for underwater applications, ensuring stable and efficient energy transfer over long distances in a marine environment. The cables are integral to the wind farm's infrastructure and facilitate the generation of on-grid electricity by connecting wind turbines to the energy distribution network. |
| 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, single operation | ||||
| 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 | |
| Data entry by | |
| Time stamp (last saved) | 2024-04-19T20:06:59+08:00 |
| Publication and ownership | |
| UUID | cfc6754d-aefb-40f5-8a1b-0db902f933df |
| Date of last revision | 2024-04-20T14:59:50.661848+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=cfc6754d-aefb-40f5-8a1b-0db902f933df&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 / Non-renewable element resources from ground | 545600.0 kg | 545600.0 kg | ||||||
| Product flow | Materials production / Plastics | 153600.0 kg | 153600.0 kg | ||||||
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| Product flow | Materials production / Plastics | 103700.0 kg | 103700.0 kg | ||||||
| Elementary flow | Resources / Resources from ground / Non-renewable element resources from ground | 648800.0 kg | 648800.0 kg | ||||||
| |||||||||
| Product flow | Materials production / Raw materials | 968300.0 kg | 968300.0 kg | ||||||
Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
|---|---|---|---|---|---|---|---|
| Product flow | Materials production / Metals and semimetals | 67200.0 kg | 67200.0 kg |