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A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants

Author

Listed:
  • Shangli Zhou

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Hengjing He

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Leping Zhang

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Wei Zhao

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Fei Wang

    (School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Reducing CO 2 emissions from coal-fired power plants is an urgent global issue. Effective and precise monitoring of CO 2 emissions is a prerequisite for optimizing electricity production processes and achieving such reductions. To obtain the high temporal resolution emissions status of power plants, a lot of research has been done. Currently, typical solutions are utilizing Continuous Emission Monitoring System (CEMS) to measure CO 2 emissions. However, these methods are too expensive and complicated because they require the installation of a large number of devices and require periodic maintenance to obtain accurate measurements. According to this limitation, this paper attempts to provide a novel data-driven method using net power generation to achieve near-real-time monitoring. First, we study the key elements of CO 2 emissions from coal-fired power plants (CFPPs) in depth and design a regression and physical variable model-based emission simulator. We then present Emission Estimation Network (EEN), a heterogeneous network-based deep learning model, to estimate CO 2 emissions from CFPPs in near-real-time. We use artificial data generated by the simulator to train it and apply a few real-world datasets to complete the adaptation. The experimental results show that our proposal is a competitive approach that not only has accurate measurements but is also easy to implement.

Suggested Citation

  • Shangli Zhou & Hengjing He & Leping Zhang & Wei Zhao & Fei Wang, 2023. "A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants," Energies, MDPI, vol. 16(4), pages 1-27, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1646-:d:1060295
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    References listed on IDEAS

    as
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