Mathematical Model for Reducing Energy Consumption and Greenhouse Gas Emissions in the Crude Distillation Unit Using the LINGO Program

Abstract

Energy savings and gases emissions reduction in the crude distillation unit have a big impact on the reduction of energy costs as well as minimization of environmental effects. This work illustrates energy optimization based upon mathematical models of the crude distillation unit using LINGO program to achieve the minimum energy consumption demands and a great reduction of greenhouse gases (GHG). The current energy demand for the HEN network is 625.8 million BTU/h $r$ and 242.7 million BTU/hr for heating and cooling facilities, respectively. The current survey shows a tremendous opportunity to reduce energy consumption with a minimum temperature difference (ΔT min) of 50 degrees. The results shows a reduction of heat duty about 6.92% leading to saving about 6628952.88 USD$/yr. Similarly, energy saving range for cold facilities has 17.26% leading to saving about 156632.256 USD$/yr. Likewise, reducing the greenhouse gas emissions to 26,133.79 metric tons/yr.