Process information
| Key Data Set Information | |
| Location | CN |
| Reference year | 2020 |
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| Use advice for data set | When utilizing this LCA data for the new dry process in cement production, adherence to the CLCD trade-off principles is essential, as outlined: neglect upstream production data of raw materials weighing less than 1% of the product; ignore upstream production of waste or low-value waste materials; generally overlook production equipment, buildings, amenities; and do not ignore known emissions within the environmental impact scope. This dataset is derived from the CLCD-China-ECER 0.8 database. Consider the technology's representativeness and the specific geographical location when applying this data. Pay special attention to the inventory uncertainty assessments and the uncertainty impacts calculated using analytical formulae to reflect accurate LCA results. |
| Technical purpose of product or process | The new dry process described is utilized in the cement industry, specifically for the creation of raw meal used in the production of P·O 42.5 type cement clinker. The process is designed to handle a throughput of more than 4000 tons per day of raw meal. Its application is targeted towards large-scale cement manufacturing facilities where pollution control for particulate matter is critical during raw meal preparation. |
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| General comment on data set | The new dry process has a relatively large market share in the cement industry process. The contaminant in the raw material preparation process is particulate matter. |
| Copyright | No |
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| Mathematical model | |
| Model description | Taking P·O 42.5 type cement clinker as the research object, the functional unit and base flow are the production of 1.00 tons of cement clinker, and the base year is 2020. The system boundary is the unit process of raw meal preparation (raw material mining, raw material pretreatment and homogenization, raw meal grinding and raw meal homogenization). The real-life process ranges from raw material preprocessing and batching to raw meal homogenization. |
Modelling and validation
Administrative information
Inputs and Outputs