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Decarbonizing the cement industry: Findings from coupling prospective life cycle assessment of clinker with integrated assessment model scenarios

Journal of Cleaner Production, vol. 450, pp. 141884

Abstract

In the race to achieve global climate neutrality, carbon intensive industries like the clinker and cement industry are required to decarbonize rapidly. The environmental impacts related to potential transition pathways to low-carbon systems can be evaluated using prospective life cycle assessment (pLCA). This study conducts a pLCA for future global clinker production, integrating long-term transition pathways from the IMAGE integrated assessment model (IAM) to maintain global consistency. It systematically modifies the ecoinvent v3.9.1 database using the Python library premise to create future database versions representing future clinker production embedded in a future economy according to a 3.5°C-baseline, a 2°C-compliant and a 1.5°C-compliant scenario. Our study indicates that climate change impacts of clinker production may decrease from about 1.03 kg CO2-eq/kg clinker in 2020 to 0.94 (3.5°C-baseline), 0.20 (2°C-compliant), and 0.16 (1.5°C-compliant) kg CO2-eq/kg clinker in 2060 for the global average. This corresponds to a 10% (3.5°C-baseline), 81% (2°C-compliant) and 84% (1.5°C-compliant) decrease by 2060 compared to 2020. Under these scenarios, global clinker production alone would require 5%–11% of the remaining end-of-century carbon budget for the 2 °C and 1.5°C-target, respectively. While the climate change impacts are substantially reduced, our study also indicates that the transition pathways shift the burden towards other impact categories, such as ionizing radiation, ozone depletion, material resources and land use. Developing IAM-compatible scenarios for more product groups helps to increase the coherence of pLCA studies. As this study is based on an IAM heavily reliant on carbon capture and storage and bioenergy, future research should explore the effects of different technology pathways and alternative mitigation strategies.

Authors 8

  1. Leiden University · Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · Flemish Institute for Technological Research

    Affiliation as printed

    Flemish Institute for Technology Research (VITO), EnergyVille, Thor Park 8320, 3600, Genk, Belgium

    German Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563, Stuttgart, Germany

    Leiden University, Institute of Environmental Sciences (CML), P.O. Box 9518, 2300 RA, Leiden, the Netherlands

  2. Leiden University · Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

    Affiliation as printed

    German Aerospace Center (DLR), Institute of Networked Energy Systems, Curiestr. 4, 70563, Stuttgart, Germany

    Leiden University, Institute of Environmental Sciences (CML), P.O. Box 9518, 2300 RA, Leiden, the Netherlands

  3. Paul Scherrer Institute

    Affiliation as printed

    Laboratory for Energy Systems Analysis, Paul Scherrer Institute, Forschungsstrasse 111, 5232, Villigen, Switzerland

  4. University of Antwerp

    Affiliation as printed

    University of Antwerp, Faculty of Applied Engineering, Groenenborgerlaan 171, 2020, Antwerpen, Belgium

  5. Netherlands Environmental Assessment Agency

    Affiliation as printed

    PBL Netherlands Environmental Assessment Agency, P.O. Box 30314, 2500 GH, The Hague, the Netherlands

  6. Netherlands Environmental Assessment Agency

    Affiliation as printed

    PBL Netherlands Environmental Assessment Agency, P.O. Box 30314, 2500 GH, The Hague, the Netherlands

  7. Delft University of Technology

    Affiliation as printed

    Delft University of Technology, Faculty of Civil Engineering and Geosciences, Stevinweg 1, 2628 CN, Delft, the Netherlands

  8. Leiden University

    Affiliation as printed

    Leiden University, Institute of Environmental Sciences (CML), P.O. Box 9518, 2300 RA, Leiden, the Netherlands

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References 47