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We develop multiobjective optimization models to§simultaneously minimize biosolids odors as well as§wastewater treatment process and biosolids§distribution costs. A weighting method and constraint§method were employed to find tradeoff, so called§Pareto optimal, points between costs and odors. Schur s decomposition and special order set type two§variables were used to approximate the product of two§decision variables. A Dantzig-Wolfe decomposition§technique was successfully applied to break apart and§solve a large optimization model encountered in this§dissertation.Using the Blue Plains advanced§wastewater treatment plant located in Washington, DC§as a case study, we find several Pareto optimal§points between costs and odors where different§treatments (e.g., lime addition) and biosolids§distribution (e.g., to what reuse fields biosolids§should be applied) strategies should be employed.§This model can be used proactively by any typical§advanced wastewater treatment plants to produce the§least malodorous biosolids at minimal costs.
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