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Acknowledgements The research team acknowledges the assistance of Frances Plummer and Kevin Bradburn, NSW DET; the teachers of the nine case study schools who were welcoming, open and supportive of this research; the many teachers in Quality Teaching Action Learning projects, who responded to surveys or took the time to engage in conversations with the researchers; Kate Aubusson for research assistance; and the support staff at the Faculties of Education at the University of Technology, Sydney and the University of Wollongong.

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In this article, we present a new descriptive model for industrial flexibility with respect to power consumption. The advancing digitization in the energy sector opens up new possibilities for utilizing and automatizing the marketing of flexibility potentials and therefore facilitates a more advanced energy management. This requires a standardized description and modeling of power-related flexibility. The data model in this work has been developed in close collaboration with several partners from different industries in the context of a major German research project. A suitable set of key figures allows for also describing complex production processes that exhibit interdependencies and storage-like properties. The data model can be applied to other areas as well, e.g., power plants, plug-in electric vehicles, or power-related flexibility of households.