Multiple Objectives for Genetically Optimized Coupled Inversion Method for Jet Models in Flowing Ambient Fluid

Abstract

ABSTRACT:Optimal dilution and the lowest possible energy consumption are essential environmental and economic objectives for deep sea sewage discharge. In this paper, a new method with multiple parameters and objectives, nonlinear, genetically optimized and coupled inversion for determining jet ratios and angles was established by coupling Genetic Algorithms (GAs) with Anisotropic Turbulent Buoyant Jet Models with variable densities to achieve these objectives. The multiple objectives were taken into account for the jet model and the Operation Energy Consumption Equation was input into the GAs. Real coding methodology was utilized to avoid the precision losses of binary coding. A multiple parameters matching designed cases methodology was used to improve the convergence velocity. The fluctuated convergence curves that were utilized for searching for the optimal multiple parameters showed that the present method is suitable for the multiple objectives optimizing inversion problem. The numerical results of the re-calibrations and comparisons showed that the multiple parameters and objectives, nonlinear, genetically optimized and coupled inversion method has the advantages of improving the jet's water mixing efficiency with environmental waters, while also reducing the energy consumption. The optimal multiple parameters of a jet ratio of 4, and a jet angle of 90 degrees, satisfy the demands of the multiple objectives.

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