Demand response of industrial production processes can support the transformation process of today's energy supply systems by enabling an active load management. For energy-intensive industries this can be seen as an opportunity to reduce costs taking advantage of process flexibility. In this study we extend a continuous-time scheduling model with generic energy-awareness to optimize the electricity purchase together with the load commitment problem. Considered electricity sources are volatile day-ahead markets, time-of-use (TOU) and base load contracts, as well as onsite generation together with a possibility to sell electricity. The model is applied to a batch process of a melt shop section in a stainless steel plant. Example case study scenarios show that the potential threat of high prices in day-ahead markets can be turned into an opportunity when optimally choosing the strategy for both scheduling the production and optimizing its net consumption cost.
|Number of pages||6|
|Journal||Computer Aided Chemical Engineering|
|Publication status||Published - 2014|
|MoE publication type||A1 Journal article-refereed|
- Demand-side management
- Energy optimization
- Steel plant