As a major energy consumer, steel plants can help stabilize the power grid by shifting
production from periods with high demand. Electric arc furnaces can be operated at different …

Stainless steel production consumes a large amount of electricity. Demand side
management (DSM) has been identified as a key way to reduce costs in steel plant …

Energy-intensive industries can take advantage of process flexibility to reduce operating
costs by optimal scheduling of production tasks. In this study, we develop an MILP …

Demand response of industrial production processes can support the transformation
process of today's energy supply systems by enabling an active load management. For …

Electric arc furnaces (EAFs) in steel plants consume a large amount of electric energy, and
the energy cost constitutes a significant proportion of the total costs in producing steel …

In today's energy markets, there is a growing effort toward the alignment of the industrial
sector and the power grid for the sake of efficient energy distribution and consumption. In …

This work addresses the scheduling of continuous plants subject to energy constraints
related to time-dependent electricity pricing and availability. Discrete-and continuous-time …

Demand response (DR) of large industrial electricity consumers is a promising option to
balance the fluctuating supply by renewable energies in the electricity grid. Renewable …

Electrical load tracking is a critical strategy for energy intensive industries to provide demand
response (DR) in today's electricity markets. It can take advantage of time-of-use (TOU) …

In this work, a mixed-integer linear programming (MILP) model is presented based on a
discrete-time scheduling formulation that allows modeling and optimizing operational …