首页|Digital twins in process engineering: An overview on computational and numerical methods
Digital twins in process engineering: An overview on computational and numerical methods
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NETL
NSTL
Elsevier
A digital twin (DT) is an automation strategy that combines a physical plant with an adaptive real-time simulation environment, where both are connected by bidirectional communication. In process engineering, DTs promise real-time monitoring, prediction of future conditions, predictive maintenance, process optimization, and control. However, the full implementation of DTs often fails in reality. To address this issue, we first examine various definitions of DTs and its core components, followed by a review of its current applications in process engineering. We then turn to the computational and numerical challenges for building the simulation environments necessary for successful DTs implementation.
Digital twinProcess- and chemical engineeringFirst-principle modelsData-driven modelsScientific machine learningReduced-order modeling
Luisa Peterson、Ion Victor Gosea、Peter Benner、Kai Sundmacher
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Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany
Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany||Otto von Guericke University Magdeburg, Universitaetsplatz 2, Magdeburg, 39106, Germany
NETL
NSTL
Elsevier
