CO2 Reduction through Optimization of Steam Network in Petroleum Refineries: Evaluation of New Scenario

Abstract

Steam network of petroleum refinery is energy intensive, and consequently contribute significantly to the greenhouse gases emissions. A simple model for the estimation of CO2 emissions associated with operation of steam network as encountered in refineries is introduced. In conjunction with a shortcut model this model has been used to calculate of the steam network of an existing refinery aiming at minimization total annualized cost with considering emissions. In this paper, the case study is steam network of southern Tehran refinery. Simulation of this case has been performed in STAR software that licensed by energy system laboratory at K.N. Toosi University of Technology. Mathematical linear programming method has been applied to optimization of steam network. In addition, the short cut model of CO2 production has been provided for evaluation of steam network with considering CO2 production taxes and other economic effects in total annualized cost. Meanwhile, in this research, new scenario has been defined and evaluated. Results shows new scenario have 45 % less TAOC rather than base scenario in optimal condition.