Optimal industrial flexibility scheduling based on generic data format

Abstract The energy transition into a modern power system requires flexibility. Demand Response (DR) is one promising option for providing this With the highest share of final consumption, industry has potential to offer DR and contribute by adjusting its demand. This paper proposes mathematical optimization model that uses generic data flexibility description. supports industrial companies select when (i.e., at which time), where in market), how schedule) they should market their optimize profit. We evaluate under several synthetic use cases developed upon learnings over workshops bilateral discussions with partners from aluminum industry. results evaluation suggest can fulfill purpose different even complex such as various loads storages. However, computation time grows complexity grows.