Stochastic integer programming analysis for wastewater treatment plant design
نویسنده
چکیده
It is the purpose of this paper to present a methodology of analysis which identifies optimum types and combination of unit treatment processes from the range of available alternatives. The objective is to identify the optimum combination and efficiencies of various unit processes in multistage plant; then meet design criteria. Optimality, as used herein, is defined as meeting a given treatment requirement (treatment efficiency, allowable stream loading, etc) at minimum total annual cost. Stochastic Integer Programming is the main principle used to develop the optimal model for the liquid waste treatment plant process design.
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