Novel low-cost electricity generation technologies such as solar and wind systems can be utilized for electrificationElectrification and decarbonization of some metal production processes on a large scale. However, these technologies are intermittent which is partially mitigatable by energy storageEnergy storage systems like batteries. In an optimal electrical grid, there exist time intervals with excess energyEnergy supply during the year, which can be exploited to run such processes. In the present study, an algorithm with a threshold price for conditional shutdown of metal production processes is presented to identify the best annual and daily operating time intervals, with variable electricity price and shutdown and startup costs taken into consideration. For this purpose, three different conditions are identified—high process energyEnergy use, low capital cost, and flexibility—under which intermittent operation for metal processing outperforms continuous operation in terms of operational cost based on the real-time electricity prices.