Mathematical Modeling for Cost Minimization for the Control of Air Pollutants

Abstract

In this paper, a linear programming model for controlling the generation of industrial pollution in a given system is presented. For each system, the model incorporates the key factors of cost, abatement potentials and implementation to determine a least cost for emission reduction for each pollutant within a specified time frame. Emission sources the system considered are induction furnaces, reheating furnaces and Open-heart furnaces. Simplex method and computer application ‘Solver’ were applied to solve the model. Sensitivity analysis was then conducted to explore the effect of making possible adjustments in the air standards Sensitive parameters were identified and the parameters that should be estimated more closely are determined. Results from both approaches were compared,analyzeand discussed.