Mitsubishi Heavy Industries Technical Review
    Vol. 55 No. 4 (2018)   New Power Domain Projects
    Technical Papers

    Boiler Digital Twin Applying Machine Learning

    HIDETOSHI AIKI
    KAZUHIKO SAITO
    KAZUHIRO DOMOTO
    HIROTOMO HIRAHARA
    KAZUTAKA OBARA
    SOICHIRO SAHARA

    Artificial Intelligence (AI)-related technologies based on statistical processing have been attracting attention in recent years. While AI has a feature of learning data, in-service power plants generate operational data every second. If AI could learn these data and help achieve better operating conditions, it would be possible to build a more flexible control system, supplementing the conventional-style control process. This report will describe the installation procedure for Digital Twin, which can contribute to the enhancement of our clients' earning capacity by increasing the economic efficiency of power plants, and also presents an overview of Digital Twin's features, its system structure and an actual introduction example in Taiwan.