A Mixed-Integer Optimization Technique for Developing a Sulfur Emission Control Strategy for China

The economical development and increasing population of China and other East Asian countries is expected to be accompanied by an increase in the emission of air pollutants. The objective of this study is to develop an effective and economical emission control strategy for sulfur in East Asia. There are existing methods for controlling sulfur emission, such as changing to lower sulfur content fuel, introducing desulfurization devices for emission sources, and promoting efficient energy use. The applicability of such measures is restricted by both energy supply and control cost, amongst other concerns. As a case study, an optimal control strategy based on the estimated sulfur emission for China in 2010, is simulated using a Mixed-Integer Linear Programming technique with several restrictions that satisfies, among other constraints, the atmospheric environment requirements for SO₂ and the soil load limit for SO₄ deposition.