Primary life cycle inventory data for cement production, with relevance to sustainability assessment–Indian cases

• Published in: Data in brief Vol. 54; p. 110258
• Main Authors: Basavaraj, Anusha S., Gettu, Ravindra
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.06.2024; Elsevier
• Subjects: Blended cement; carbon dioxide; Carbon footprint; cement; Cement industry; Data; data collection; electricity; Embodied energy; energy; furnaces; Global warming potential; India; inventories; life cycle inventory; material flow analysis; Portland cement; power plants; Primary data; slags; supply chain; Sustainability; volcanic ash; India; Global warming potential; Cement industry; Embodied energy; Sustainability; Primary data; Portland cement; Blended cement; Carbon footprint
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2024.110258

The data provided is primary data related to cement production collected from the six different cement plants in India. This serves as the inventory for conducting material flow analysis, supply chain forecasting, and life cycle assessment of cement and concrete systems. The dataset is given in three data sheets with information relevant to the steps followed in line with the life cycle assessment (LCA) methodology, i.e., inventory, characterization factors and impacts (here, carbon footprint and energy consumed). The data includes the amounts of raw materials (type and source), the electricity (source and amount) used in the clinker and other products produced, such as OPC (Ordinary Portland Cement), PPC (Portland Pozzolana Cement), PSC (Portland Slag Cement) and GGBS (Ground Granulated Blast Furnace Slag). The data is presented (in Sheet A and C) for the relevant functional unit, i.e., one tonne of material produced in each plant. Sheet B gives one of its kind data related to electricity produced (1 kWh) in the thermal power plant associated with the cement plant, also called as captive power plant. As the cement production process contributes to 8% of the anthropogenic CO2 emissions, it is important to understand the environmental impacts associated with it, and primary data generated are essential for assessing the impacts and to modify the processes with higher contribution to reduce the impacts. This dataset can, therefore, serve as a basis to collect the data from similar plants in any part of the world and benchmarking.