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Application of System Dynamic Modelling for Evaluation of Carbon Mitigation Strategies in Cement Industries: A Comparative Overview of the Current State of the Art

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  • Akhil Kunche

    (Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Bożena Mielczarek

    (Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

Abstract

Cement is the key ingredient in concrete, which is the most consumed resource on the planet after water. As an energy-intensive industry, cement production is one of the largest sources of greenhouse emissions in the world today. The demand for cement is synonymous with the growth in infrastructure demand and per-capita gross domestic product in the world, calling the need for mitigation measures within the industry in order to contribute to the global climate change efforts. System dynamics (SD) is a simulation approach that is used for studying the nonlinear behaviours in complex systems over time, often used in industrial domains for emission forecasts as well as policy experimentation. With the adoption rates of mitigation strategies in the cement industry being inadequate, there is a need for improvisation in policymaking through better decision-support tools. In this paper, a comparative overview of the studies that specifically utilise the SD approach for evaluation of carbon mitigation strategies in the cement industry is presented on the basis of their scope, model description, scenarios tested, and featured mitigation methods. Additionally, the potential for improvements in future studies is discussed.

Suggested Citation

  • Akhil Kunche & Bożena Mielczarek, 2021. "Application of System Dynamic Modelling for Evaluation of Carbon Mitigation Strategies in Cement Industries: A Comparative Overview of the Current State of the Art," Energies, MDPI, vol. 14(5), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1464-:d:512536
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    References listed on IDEAS

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    1. Wei Sun & Jingmin Wang & Yadi Ren, 2016. "Research on CO 2 emissions from China's electric power industry based on system dynamics model," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 22(4), pages 423-439.
    2. Lin Zhu & Lichun He & Peipei Shang & Yingchun Zhang & Xiaojun Ma, 2018. "Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation," Energies, MDPI, vol. 11(9), pages 1-26, September.
    3. Eirini Grammatiki Pagoni & Patroklos Georgiadis, 2020. "System dynamics approaches to public–private partnerships: A literature review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(2), pages 277-291, March.
    4. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).
    5. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    6. Mauricio Uriona & Sara S (Saartjie) Grobbelaar, 2019. "Innovation system policy analysis through system dynamics modelling: A systematic review," Science and Public Policy, Oxford University Press, vol. 46(1), pages 28-44.
    7. Li, Qiang & Zhang, Wenjuan & Li, Huiquan & He, Peng, 2017. "CO2 emission trends of China's primary aluminum industry: A scenario analysis using system dynamics model," Energy Policy, Elsevier, vol. 105(C), pages 225-235.
    8. Ansari, Nastaran & Seifi, Abbas, 2013. "A system dynamics model for analyzing energy consumption and CO2 emission in Iranian cement industry under various production and export scenarios," Energy Policy, Elsevier, vol. 58(C), pages 75-89.
    9. Marcel Boyer & Jean-Pierre Ponssard, 2013. "Economic analysis of the European cement industry," CIRANO Working Papers 2013s-47, CIRANO.
    10. Saysel, Ali Kerem & Hekimoğlu, Mustafa, 2013. "Exploring the options for carbon dioxide mitigation in Turkish electric power industry: System dynamics approach," Energy Policy, Elsevier, vol. 60(C), pages 675-686.
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    1. Akhil Kunche & Bożena Mielczarek, 2021. "Application of System Dynamic Modelling for Evaluation of CO 2 Emissions and Expenditure for Captive Power Generation Scenarios in the Cement Industry," Energies, MDPI, vol. 14(11), pages 1-22, May.
    2. Oluwafemi E. Ige & Oludolapo A. Olanrewaju, 2023. "Comparative Life Cycle Assessment of Different Portland Cement Types in South Africa," Clean Technol., MDPI, vol. 5(3), pages 1-20, July.

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