Fugitive Emission Reduction through Optimization

Abstract

Fugitive emissions (FE) nowadays become a great concern around the world due to their negative impacts on productivity, environment and health. This paper presents a mathematical model for reducing fugitive emissions from piping equipment. The problem is formulated as mixed integer linear programming and coded in General Algebra Modeling System (GAMS). The MILP model proposed in this work can be used to identify the most appropriate technologies for fugitive emissions reduction as well as maximize the profit. Application of this model on the case yields a significant FE reduction up to 82.2 percent, illustrating the effectiveness of the technique. © 2012 Elsevier B.V.