Scientific Results

  • ID:
    publications-5270
  • Type:
    Article
  • Year:
    2022
  • Authors:
    Zhou D.; Gao H.; Wang W.; Cao J.; Yang W.; Zeng R.; He Y.
  • Title:
    Application of Three-Flow Fusion Technology Based on Modelica in Thermal Power Digital Twin
  • Venue/Journal:
    IEEE Journal of Radio Frequency Identification
  • DOI:
    10.1109/JRFID.2022.3205855
  • Research type:
  • Water System:
  • Technical Focus:
  • Abstract:
    Thermal power plants gather large energy infrastructure; therefore, massive historical and real-time data of equipment operation will be generated in daily operation. Digital industrialization puts forward higher requirements for the use of big data than simple tasks, such as generating reports. MWorks is a multidomain unified modeling and simulation platform based on the Modelica language. In this study, MWorks is used to realize the modeling of multidomain systems, including electrical, thermal, mechanical, fluid, and heat transfer, in power plants. The test, calibration, verification, parameter optimization, and fault diagnosis of the thermal power plant mathematical models, which are historical and real-time data-driven, are discussed. The technology of three-flow fusion, including material flow, energy flow, and information flow, and its application in thermal power digital twin are explored. Β© 2017 IEEE.
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