GeoAsset

DATABASES

Global Database of Cement Production Assets

The Global Database of Cement Production Assets provides information on global cement production plants that are operational today. The database contains 3,117 cement plants with exact geolocation and provides information about ownership, production type, plant type, capacity and production start year where available.

Cement is an essential material used in construction all around the world, but cement production processes are highly emissions intensive, accounting for more than 5% of anthropogenic CO2 emissions[1]. The process consists of three steps: the mixing of limestone with other materials; the heating of the limestone mixture to produce clinker and the grinding of clinker with different ingredients to produce cement. The grinding process can happen in integrated facilities where the clinker is also produced or in independent grinding facilities closer to its end market. While the bulk of greenhouse gas emissions associated with cement production stem from clinker production and integrated facilities, the database covers both integrated as well as independent grinding facilities.

The Global Database of Cement Production Assets can be used by others and is available under a CC BY 4.0 license. The suggested citation is: “McCarten, M., Bayaraa, M., Caldecott, B., Christiaen, C., Foster, P., Hickey, C., Kampmann, D., Layman, C., Rossi, C., Scott, K., Tang, K., Tkachenko, N., and Yoken, D. 2021. Global Database of Cement Production Assets. Spatial Finance Initiative”

[1] Andrew, R. M. (2018). Global CO 2 emissions from cement production. Earth System Science Data, 10(1), 195-217.

Global Database of Iron and Steel Production Assets

The Global Database of Iron and Steel Production Assets provides information on global iron and steel production plants that are operational today. The database contains 1,598 production plants with exact geolocation and provides information about ownership, production type, plant type, capacity and production start year where available.

Iron and steel production is one of the most energy-intensive industries in the world and accounts for approximately 6.7% of global CO2 emissions [2]. Crude steel is either produced from primary materials such as iron ore, or from secondary materials such as recycled steel scrap. Primary steel production processes (blast furnace, basic oxygen furnace or open-hearth furnaces), typically use coal as an energy source and take place in large integrated facilities. Whereas secondary steel production processes (electric arc furnaces) typically use electricity as an energy source and take place in so called ‘mini-mills’. The database captures a wide range of assets across the steel production process, including the procurement and processing of raw materials (in particular coking and pelletisation plants), the production of crude steel (integrated plants and mini-mills) and the production of finished steel products (downstream plants).

The Global Database of Iron and Steel Production Assets can be used by others and is available under a CC BY 4.0 license. The suggested citation is: “McCarten, M., Bayaraa, M., Caldecott, B., Christiaen, C., Foster, P., Hickey, C., Kampmann, D., Layman, C., Rossi, C., Scott, K., Tang, K., Tkachenko, N., and Yoken, D., 2021. Global Database of Iron and Steel Production Assets. Spatial Finance Initiative”

[2] World Steel Association. (2017). Steel’s Contribution to a Low Carbon Future and Climate Resilient Societies. World Steel Association.

About

Both databases have been developed by the Oxford Sustainable Finance Programme, Satellite Applications Catapult, and The Alan Turing Institute as part of the Spatial Finance Initiative ‘s GeoAsset Project. A list with frequently asked questions about the databases and the data collection methodology of is available here.

To improve the databases and inform future work, we would appreciate any feedback on the dataset quality, information about missing or incomplete assets as well as any insights into your uses and use cases for the data.

For any feedback or questions please contact matthew.mccarten@smithschool.ox.ac.uk and christophe.christiaen@sa.catapult.org.uk

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