An optimisation strategy using probabilistic and heuristic input data for fuel feeding boilers with regard to the trading effects of CO2 allowances

This paper presents an optimisation method for a strategy for fuel feeding in combined heat and power plant boilers with regard to the trading effects of CO2 allowances. A detailed analysis has been conducted on an exemplary (combined heat and power plant) CHP that is equipped with OPG-230 multifuel steam boilers adapted for metallurgical fuel gases. The CHP cooperates with a steelworks nearby. A special feature of the CHP activity is the consumption of large quantities of gases that are generated as byproducts in the production of pig iron (blast-furnace gas), steel (converter gas in the steelworks) and coke (coke-oven gas at the nearby coke ovens). These gases are co-incinerated with coal at the CHP. In the optimisation performed, the input data had a heuristic, probabilistic nature, and constant (averaged) data have been used.