MIND optimization reduces the system cost at a refinery

The MIND method is used to generate an optimization model of a Swedish refinery. The representation of the system includes non-linear expressions for the energy demand and the operation characteristics of a backpressure turbine. The optimal seasonal production flow is found as well as the optimal production strategy for the backpressure turbine. The results show that the system cost can be significantly reduced with a change of the operating strategy.