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HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring

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  • Mezzour Ghita

    (National and High School of Electricity and Mechanic (ENSEM), HASSAN II University, Casablanca 8118, Morocco
    Research Foundation for Development and Innovation in Science and Engineering, Casablanca 8118, Morocco
    Innovation Lab for Operations (ILO), Mohammed VI Polytechnic University (UM6P), Benguerir 43150, Morocco)

  • Benhadou Siham

    (National and High School of Electricity and Mechanic (ENSEM), HASSAN II University, Casablanca 8118, Morocco
    Research Foundation for Development and Innovation in Science and Engineering, Casablanca 8118, Morocco)

  • Medromi Hicham

    (National and High School of Electricity and Mechanic (ENSEM), HASSAN II University, Casablanca 8118, Morocco
    Research Foundation for Development and Innovation in Science and Engineering, Casablanca 8118, Morocco)

  • Mounaam Amine

    (Innovation Lab for Operations (ILO), Mohammed VI Polytechnic University (UM6P), Benguerir 43150, Morocco)

Abstract

Thermal power plants, TPP, are one of the main players in the phosphoric acid and fertilizer production value chain. The control of power plant assets involves considerable complexity and is subject to several constraints, affecting the asset’s reliability and, most importantly, plant operators’ safety. The main focus of this paper is to investigate the potential of an agent-based digital twin architecture for collaborative prognostic of power plants. Based on the ISO 13374:2015 scheme for smart condition monitoring, the proposed architecture consists of a collaborative prognostics system governed by several smart DT agents connected to both physical and virtual environments. In order to apprehend the potential of the developed agent-based architecture, experiments on the architecture are conducted in a real industrial environment. We show throughout the paper that our proposed architecture is robust and reproduces TPP static and dynamic behavior and can contribute to the smart monitoring of the plant in case of critical conditions.

Suggested Citation

  • Mezzour Ghita & Benhadou Siham & Medromi Hicham & Mounaam Amine, 2022. "HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring," Energies, MDPI, vol. 15(15), pages 1-38, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5383-:d:871474
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    References listed on IDEAS

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