Selection of Optimal Air Pollution Control Strategies

Abstract

Sustainable development needs social, economic, energy and environmental sustainability. We propose a model to minimize the total cost consisting of economic cost of pollution control equipment, health cost because of pollutants emissions. We developed a Mixed Integer Non Linear Programming (MINLP) based model for selection of optimal air pollution control strategy. The model considers multiple pollutants, multiple emission sources and multiple control equipments. Constraints like budget and efficiency of control equipment are included in the model. Affect of emission norms on total cost is discussed. The efficacy of the proposed model is explained by considering simulation case studies of a typical cement plant and a thermal power plant.