| 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 dataset should include all life cycle stages of the offshore wind farm as highlighted in the process description: materials and equipment manufacturing, transportation and installation, operation and maintenance, and dismantling and recycling. During modeling and analysis, it is important to refer to the sensitivity analysis section to address uncertainties related to model parameters and input data. The functional unit for assessment is defined as 1 kWh of on-grid electricity provision, and this must be consistently applied across the LCA study. |
| Technical purpose of product or process | This dataset describes the industrial process of steel production specifically for the construction and operation of the Donghai Bridge Offshore Wind Farm (DBOWF). It is utilized for providing data for Life Cycle Assessment studies aimed to evaluate the environmental impact associated with the manufacturing, transportation, installation, operation, and maintenance of offshore wind farms in China. |
| Classification |
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| General comment on data set | This dataset describes the industrial process of steel production specifically for the construction and operation of the Donghai Bridge Offshore Wind Farm (DBOWF). It is utilized for providing data for Life Cycle Assessment studies aimed to evaluate the environmental impact associated with the manufacturing, transportation, installation, operation, and maintenance of offshore wind farms in China. |
| 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) | 2024-04-19T20:08:03+08:00 |
| Publication and ownership | |
| UUID | 35a9a83f-dbca-4bac-86bb-6058272f12d3 |
| Date of last revision | 2024-04-20T14:59:50.674241+08:00 |
| Data set version | 00.01.005 |
| Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=35a9a83f-dbca-4bac-86bb-6058272f12d3&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 / Renewable energy resources from ground | 1.13E9 MJ | 1.13E9 MJ |
Outputs
| Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
|---|---|---|---|---|---|---|---|---|---|
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 7.29E7 kg | 7.29E7 kg | ||||||
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| Elementary flow | Emissions / Emissions to air / Emissions to lower stratosphere and upper troposphere | 68760.0 kg | 68760.0 kg | ||||||
| Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 168090.0 kg | 168090.0 kg | ||||||
| Elementary flow | Emissions / Emissions to air / Emissions to lower stratosphere and upper troposphere | 157050.0 kg | 157050.0 kg | ||||||
| Product flow | Materials production / Raw materials | 4.24E7 kg | 4.24E7 kg | ||||||