Key Data Set Information | |
Location | CN |
Name |
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Use advice for data set | This dataset can be used to model the environmental impact of portland pozzolana cement production using a life cycle assessment approach. Users should note that the dataset includes the production and transportation of raw materials, such as limestone, clay, iron powder, gypsum, and coal, as well as electricity production. It assumes an average transportation distance of 100 km for raw materials using 10-ton diesel trucks based on CLCD data. When considering auxiliary materials and industrial wastes, only their transportation and preparation processes are included. The environmental impact of producing these materials is not accounted for within the system boundary, as it is assumed to be the responsibility of the producer. Data users should pay attention to these boundaries and assumptions and adjust their impact assessments accordingly if they have more specific or additional data. Recycling or end-of-life considerations for cement are not included within the system boundary. |
Technical purpose of product or process | The described industrial process refers to the production of portland pozzolana cement using a new dry process precalciner kiln with a daily capacity of 4000 tons. Portland pozzolana cement is utilized in a variety of construction projects due to its environmental benefits and suitability for high productivity manufacturing. The cement produced with this technology is expected to align with sustainability trends within the Chinese cement industry and broader construction materials market. |
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General comment on data set | The new dry pre-decomposition cement production model is selected. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Technological representativeness | |
Technology description including background system | This article selects a pre-decomposition kiln-drying cement production model. The new dry pre-decomposition cement production technology is based on suspension preheating and pre-decomposition technology. It is a production technology that is more in line with environmental protection requirements and meets high productivity requirements, and has become the future development trend of China's cement industry. Therefore, the selection of new dry pre-decomposition cement production technology as cement model production technology has advanced and environmentally friendly requirements. |
Flow diagram(s) or picture(s) | |
Mathematical model | |
Model description | The life cycle functional unit is selected as 1t of cement to construct the life cycle model.The cement industry system boundary includes the production of cement, the production and transportation of raw materials, and the production of electricity, but does not include the use and processing of cement.For auxiliary materials such as pozzolanic mixed materials, only the transportation and preparation process will be considered, and the production process will not be considered. |
LCI method and allocation | |||||
Type of data set | Unit process, black box | ||||
Deviation from LCI method principle / explanations | None | ||||
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 | Pollutant emission data from limestone and gypsum mining come from the China Life Cycle Reference Database (CLCD). Due to the lack of mining data for clay and iron ore and the small amount of mining, the pollutant emission data from limestone mining were used as estimates. The pollutant emission data from coal mining adopt the raw coal mining data from the China Life Cycle Reference Database (CLCD).The power production pollutant emission data uses the national average grid power mixing and transmission data from the China Life Cycle Reference Database (CLCD).The transportation stage considers the transportation of all raw materials required for cement production, including limestone, clay, iron powder, gypsum, coal and industrial waste. For the convenience of calculation, a diesel truck with a load of 10t on highway transportation is taken as an example. It is assumed that the average transportation of all raw materials The distance is 100km. The pollutant emission inventory data of diesel trucks with a load of 10 tons in the China Life Cycle Reference Data (CLCD) are used. | ||||
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) | 2024-04-19T19:58:18+08:00 |
Publication and ownership | |
UUID | 388a41e0-e726-411b-a2bd-08ac40f2fe44 |
Date of last revision | 2024-04-20T14:41:35.588281+08:00 |
Data set version | 00.01.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=388a41e0-e726-411b-a2bd-08ac40f2fe44&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 / Other mineralic materials | 864.9 kg | 864.9 kg | ||||||
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Elementary flow | Resources / Resources from ground / Non-renewable material resources from ground | 155.51 kg | 155.51 kg | ||||||
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Product flow | Materials production / Metals and semimetals | 28.21 kg | 28.21 kg | ||||||
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Product flow | Materials production / Other mineralic materials | 50.0 kg | 50.0 kg | ||||||
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Elementary flow | Resources / Resources from ground / Non-renewable energy resources from ground | 74.1 MJ | 74.1 MJ | ||||||
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Product flow | Materials production / Other mineralic materials | 300.0 kg | 300.0 kg | ||||||
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Product flow | Energy carriers and technologies / Electricity | 340.092 MJ | 340.092 MJ | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 640.0 kg | 640.0 kg | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.359 kg | 0.359 kg | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 2.0 kg | 2.0 kg | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.341 kg | 0.341 kg | ||||||
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Elementary flow | Emissions / Emissions to water / Emissions to water, unspecified | 0.0101 kg | 0.0101 kg | ||||||
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Elementary flow | Emissions / Emissions to water / Emissions to water, unspecified | 0.267 kg | 0.267 kg | ||||||
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Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 0.749 kg | 0.749 kg | ||||||
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Elementary flow | Emissions / Emissions to water / Emissions to water, unspecified | 0.0086 kg | 0.0086 kg | ||||||
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Product flow | Materials production / Other mineralic materials | 1000.0 kg | 1000.0 kg | ||||||
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