Keywords: analytical hierarchy process, AHP, air pollution, pollution control, acid rain, power plants, flue gas desulphurisation, energy conservation, sulpur dioxide, emissions reduction, multicriteria decision making, MCDM, Kuwait, urban smog, low sulphur fuel, fuel substitution
A multi-criteria decision approach for choosing and ranking SO2 emission reduction measures for a network of power stations
During recent years, it has become evident that power plants are a major source of pollution that causes changes in the chemistry and physics of the environment. In this paper, the Analytic Hierarchy Process (AHP) was employed to develop a strategy for reducing sulphur dioxide emissions from a network of power plants in Kuwait by at least two-thirds. Along with NOx, sulphur dioxide is known to be a chemical precursor of acid rain and urban smog. A variety of SO2 reduction alternatives and sub-alternatives were explored. These were grouped into the following categories: new refinery design to provide low sulphur fuel, fuel substitution, flue gas desulphurisation, and energy conservation. The proposed model enabled various selection criteria to be evaluated and different pollution control options to be ranked.