Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems

The merits of the novel method are illustrated for an industrial case study. In this study, 9.6% of all time steps are promising for DSM measures since they show a high sensitivity to demand changes. In particular, the method identifies non-intuitive time steps with high cost saving potential through DSM. We identify potential cost savings of more than 10% if DSM measures are implemented.