Optimal Control of Sulfur Dioxide Emissions at Power Stations: Models and a Case Study.
MASSACHUSETTS INST OF TECH CAMBRIDGE OPERATIONS RESEARCH CENTER
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The principal concern of this thesis is to analyze emission control strategies which depend upon meteorological conditions. A meteorological model is developed to relate source emissions with average concentration of a pollutant in a region under different meteorological conditions. The problem of determining optimal dynamic controls for SO2 emissions at fossil-fueled power stations is treated by constructing a linear programming model. This model is extended to encompass seasonal control of sources which are not amenable to more frequent controls. Another extension is constructed to analyze the effects of errors in meteorological forecasts. The various models are applied to the Metropolitan Boston Air Pollution Control District. The impact of dynamic emission controls on new site selection for fossil-fueled power stations is examined. A stochastic linear programming formulation is developed and an algorithm is designed to solve the stochastic linear programming problem. Modified author abstract
- Civil Engineering