Computational Fluid Dynamics and Interactive Multiobjective Optimization in Development of Low Emission Industrial Boilers

Ari Saario (1) , Antti Oksanen (2)

1 Institute of Enegy and Process Engineering
2 Institute of Energy and Process Engineering

A CFD-based model is applied to study emission formation in a bubbling fluidized bed boiler burning biomass. After the model is validated to a certain extent, it is used for optimization. There are nine design variables (nine distinct NH3 injections in the selective noncatalytic reduction process) and two objective functions (minimize NO and NH3 emissions in flue gas). The multiobjective optimization problem is solved using the reference-pointmethod involving an achievement scalarizing function. The interactive reference-point method is applied to generate Pareto optimal solutions. Two inherently different optimization algorithms, viz. a genetic algorithm and Powell's conjugate direction method, are applied in the solution of the resulting optimization problem. It is shown that optimization connected with CFD is a promising development tool for combustion optimization. The strengths and weaknesses of the proposed approach and of the methods applied are discussed from the point of view of a complex real-world optimization problem.

Mots clés: Physical Sciences

Ari Saario, Antti Oksanen. Computational Fluid Dynamics and Interactive Multiobjective Optimization in Development of Low Emission Industrial Boilers. Engineering Optimization, 2008, 40 (09), pp.869-890. ⟨10.1080/03052150802056196⟩. ⟨hal-00545358⟩