Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming

Challenges arising from the transition to a more sustainable energy system require increased flexibility on demand and supply side. In energy-intensive industry optimal operation of energy supply systems and energy consumption from the electric grid is a promising contribution to flexibility enhancement. In this paper an industrial plant model derived from characteristics in Austrian pulp and paper industry was implemented. A mixed-integer linear program was formulated to determine cost optimal commitment and economic dispatch of supply, conversion and thermal storage units for two different electricity tariff structures. Cost savings could be obtained for fluctuating electricity prices from day-ahead spot market compared to the current tariff structure and electricity prices. Furthermore, the resulting storage loading and discharging trajectories were altered when fluctuating day-ahead electricity prices were assumed.