IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i11p3115-d562981.html
   My bibliography  Save this article

Application of System Dynamic Modelling for Evaluation of CO 2 Emissions and Expenditure for Captive Power Generation Scenarios in the Cement Industry

Author

Listed:
  • 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 manufacturing is an emission-intensive process. The cement industry is responsible for 8% of the global CO 2 emissions, and produces a ton of cement uses up to 102 kWh of electrical energy, leading to a significant amount of indirect emissions depending on the emission intensity of the electricity source. Captive power generation can be potentially utilised as a mitigation approach to reduce emissions and as well as expenditure on electricity tariffs. In this study, a system dynamic simulation model is built to evaluate the impact of captive power generation on a cement plant’s net emissions and expenditure through electricity use, under different scenarios for carbon-tax, grid emission factor, and electricity tariffs. The model is then utilised to simulate a reference plant under realistic scenarios designed based on the conditions in Germany and United Arab Emirates. Furthermore, the model is utilised to calculate the payback period of investments on captive power plants under different carbon tax scenarios. The study concludes that a carbon tax policy on emissions through electricity utilisation could have an impact on incentivising the use of captive power generation and would lead to fewer emissions and expenditure during the cement plant’s lifetime.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3115-:d:562981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/11/3115/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/11/3115/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Akhil Kunche & Bozena Mielczarek, 2022. "Using Simulation Modelling for Designing Optimal Strategies of Fuel Mix to Comply for SOx and NOx Emission Standards in Industrial Boilers," Energies, MDPI, vol. 16(1), pages 1-41, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Donghui & Gao, Xiangyun & An, Haizhong & Qi, Yabin & Wang, Ze & Jia, Nanfei & Chen, Zhihua, 2020. "Exploring behavior changes of the lithium market in China: Toward technology-oriented future scenarios," Resources Policy, Elsevier, vol. 69(C).
    2. Pusnik, Matevz & Al-Mansour, Fouad & Sucic, Boris & Gubina, A.F., 2016. "Gap analysis of industrial energy management systems in Slovenia," Energy, Elsevier, vol. 108(C), pages 41-49.
    3. Xingpeng Chen & Guokui Wang & Xiaojia Guo & Jinxiu Fu, 2016. "An Analysis Based on SD Model for Energy-Related CO 2 Mitigation in the Chinese Household Sector," Energies, MDPI, vol. 9(12), pages 1-18, December.
    4. María del P. Pablo-Romero ,, & Rafael Pozo-Barajas & Javier Sánchez-Rivas, 2017. "Relationships between Tourism and Hospitality Sector Electricity Consumption in Spanish Provinces (1999–2013)," Sustainability, MDPI, vol. 9(4), pages 1-12, March.
    5. Jia, Shuwei & Liu, Xiaolu & Yan, Guangle, 2019. "Effect of APCF policy on the haze pollution in China: A system dynamics approach," Energy Policy, Elsevier, vol. 125(C), pages 33-44.
    6. Tan, Xianchun & Dong, Lele & Chen, Dexue & Gu, Baihe & Zeng, Yuan, 2016. "China’s regional CO2 emissions reduction potential: A study of Chongqing city," Applied Energy, Elsevier, vol. 162(C), pages 1345-1354.
    7. Yunna, Wu & Kaifeng, Chen & Yisheng, Yang & Tiantian, Feng, 2015. "A system dynamics analysis of technology, cost and policy that affect the market competition of shale gas in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 235-243.
    8. Iman Junianto & Sunardi & Dadan Sumiarsa, 2023. "The Possibility of Achieving Zero CO 2 Emission in the Indonesian Cement Industry by 2050: A Stakeholder System Dynamic Perspective," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
    9. 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.
    10. 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.
    11. Sylvia Mardiana, 2023. "Gasoline Policy Simulation to Increase Responsiveness Using System Dynamics: A Case Study of Indonesia’s Gasoline Downstream Supply Chain," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 109-118, November.
    12. Dehghan, Hamed & Amin-Naseri, Mohammad Reza & Nahavandi, Nasim, 2021. "A system dynamics model to analyze future electricity supply and demand in Iran under alternative pricing policies," Utilities Policy, Elsevier, vol. 69(C).
    13. 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.
    14. Song, Huiling & Wang, Chang & Sun, Kun & Geng, Hongjun & Zuo, Lyushui, 2023. "Material efficiency strategies across the industrial chain to secure indium availability for global carbon neutrality," Resources Policy, Elsevier, vol. 85(PB).
    15. Junxiao Wei & Kuang Cen, 2019. "A preliminary calculation of cement carbon dioxide in China from 1949 to 2050," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1343-1362, December.
    16. Dehghan, Hamed & Amin-Naseri, Mohammad Reza, 2022. "A simulation-based optimization model to determine optimal electricity prices under various scenarios considering stakeholders’ objectives," Energy, Elsevier, vol. 238(PC).
    17. Zhenzhen Liao & Shaofeng Ru & Yiyang Cheng, 2023. "A Simulation Study on the Impact of the Digital Economy on CO 2 Emission Based on the System Dynamics Model," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    18. Song Han & Changqing Lin & Baosheng Zhang & Arash Farnoosh, 2019. "Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model," Post-Print hal-02408957, HAL.
    19. Mehmanpazir, Farhad & Khalili-Damghani, Kaveh & Hafezalkotob, Ashkan, 2022. "Dynamic strategic planning: A hybrid approach based on logarithmic regression, system dynamics, Game Theory and Fuzzy Inference System (Case study Steel Industry)," Resources Policy, Elsevier, vol. 77(C).
    20. Xiaoqiao Geng & Yuanqiao Wen & Chunhui Zhou & Changshi Xiao, 2017. "Establishment of the Sustainable Ecosystem for the Regional Shipping Industry Based on System Dynamics," Sustainability, MDPI, vol. 9(5), pages 1-18, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3115-:d:562981. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.