Key Data Set Information | |
Location | CN |
Geographical representativeness description | Environmental effects of China's solar photovoltaic industry during2011e2016: A life cycle assessment approach |
Reference year | 2017 |
Name |
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Use advice for data set | When utilizing the life cycle inventory (LCI) data for the described process, users should ensure that they are applying this information within the context of photovoltaic module production, specifically for multi-crystalline silicon PV cells from 2011 to 2016 in China. It is important to account for technological changes over the time period and to consider geographical specificity when interpreting results. Careful attention should also be given to the boundaries of the study, ensuring that recycling processes, where applicable, are included, and that use-phase behavior of the PV systems, including energy output and degradation rates, is accurately modeled based on the available literature. |
Technical purpose of product or process | The described industrial process involves slicing ingots of multi-crystalline silicon (multi-Si) to produce wafers for photovoltaic (PV) modules. Each PV module is part of a larger solar energy system, with a focus on a 1 kWp system that incorporates five individual 200 W modules, each composed of 54 multi-Si cells. These cells have dimensions of 156 x 156 mm2 and possess an efficiency of 16%. The process is therefore crucial for the manufacturing of PV panels, which are used in the solar power industry to capture and convert solar energy into electricity. |
Classification |
Class name
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Hierarchy level
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General comment on data set | Multi-Si |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | In this paper, a 1 kWp solar PV system consisting of five 200 Wmodules made of 54 multi-Si cells, each with a size of 156*156 mm2 and 16% efficiency, was used as the primary study object |
Time representativeness | |
Time representativeness description | Available online |
Technological representativeness | |
Technology description including background system | Ingot breaker is used to slice the ingot |
Flow diagram(s) or picture(s) |
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 | Building on the existing literature on LCA of China's solar PVsystem (Fu et al., 2015; He, 2013; Hong et al., 2016; Li and Yu, 2014; Li and Chang, 2012; Liang, 2012; Yang et al., 2015; Yu et al., 2017; Xie et al., 2015), the LCI is obtained for this study. | ||||
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 | Building on the existing literature on LCA of China's solar PVsystem (Fu et al., 2015; He, 2013; Hong et al., 2016; Li and Yu, 2014; Li and Chang, 2012; Liang, 2012; Yang et al., 2015; Yu et al., 2017; Xie et al., 2015), the LCI is obtained for this study. | ||||
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) | 2023-12-27T15:36:49+08:00 |
Publication and ownership | |
UUID | a1bfce6d-3ae0-44d7-9910-511da0a53821 |
Date of last revision | 2024-04-20T14:58:20.603988+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=a1bfce6d-3ae0-44d7-9910-511da0a53821&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 | ||
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Product flow | Materials production / Raw materials | 5.6014 kg | 5.6014 kg | ||||||
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0.1799 | 0.1799 | ||||||||
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Product flow | Materials production / Metals and semimetals | 17.7336 kg | 17.7336 kg | ||||||
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Product flow | Energy carriers and technologies / Electricity | 24.626160000000002 MJ | 24.626160000000002 MJ | ||||||
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Product flow | Materials production / Other materials | 2.2837 kg | 2.2837 kg | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Materials production / Raw materials | 3.4203 kg | 3.4203 kg | ||||||
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