In today's energy markets there is a growing effort in the alignment of the industrial sector to the power grid for the sake of efficient energy distribution and consumption. The steel making industry, as one of the most energy-intensive stakeholders, may play an important role in this context. In this paper, we use the Resource Task Network (RTN) in order to provide a generic modeling framework for scheduling problems under energy constraints. We study the impact of fluctuating electricity prices on the scheduling of operations in the steel plant and the economic profits that can be obtained from the steel plant's participation in the incentive-based iDSM program.
|Number of pages||6|
|Journal||Computer Aided Chemical Engineering|
|Publication status||Published - 2013|
|MoE publication type||A1 Journal article-refereed|
- Industrial demand side management