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Research on CO 2 emissions from China's electric power industry based on system dynamics model

Author

Listed:
  • Wei Sun
  • Jingmin Wang
  • Yadi Ren

Abstract

In China, over 40% of national CO2 emissions originate from the power industry, which plays a vital role in emissions reduction. In this paper, we present a system dynamics model based on dynamic interactions among system influential components to analyse CO2 emissions from power electric power industry under three designed scenarios. Simulations results indicate that the total power CO2 emissions show an increasing trend on the whole. Due to the implementation of low-carbon electricity measures, the growth rate of power CO2 emissions in low-carbon development scenario and intensive low-carbon development scenario is much lower than that of basic scenario. A 13.19% reduction of the power CO2 emissions can be achieved in the year 2020 based on low carbon scenario and 27.53% reduction on intensive low carbon scenario. The projections demonstrate the effect of the system dynamic model in serving as a decision making tool in the low carbon electric industry process. Some instructive transition measures to low carbon power industry have provided for power industry's carbon emission profiles.

Suggested Citation

  • 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.
    • Handle: RePEc:ids:ijisen:v:22:y:2016:i:4:p:423-439
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    Citations

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    Cited by:

    1. Lei Wen & Fei Yan, 2018. "Regional differences and influencing factors in the CO2 emissions of China’s power industry based on the panel data models considering power-consuming efficiency factor," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(5), pages 1987-2007, October.
    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.
    3. Herui Cui & Ruirui Wu & Tian Zhao, 2018. "Decomposition and Forecasting of CO 2 Emissions in China’s Power Sector Based on STIRPAT Model with Selected PLS Model and a Novel Hybrid PLS-Grey-Markov Model," Energies, MDPI, vol. 11(11), pages 1-19, November.

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