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国际清洁环境能源期刊
SJR: 0.195 SNIP: 0.659 CiteScore™: 1.2

ISSN 打印: 2150-3621
ISSN 在线: 2150-363X

国际清洁环境能源期刊

Formerly known as Clean Air: International Journal on Energy for a Clean Environment

DOI: 10.1615/InterJEnerCleanEnv.2012001486
pages 15-29

OPTIMIZATION METHODS IN MINIMIZATION OF EMISSIONS FROM COMBUSTION

A. Saario
Tampere University of Technology, Institute of Energy and Process Engineering, P.O. Box 589, FIN-33101 Tampere, Finland; Oilon International Oy, P.O. Box 5, 15801 Lahti, Finland
R. Makiranta
Oilon Energy Oy, P.O. Box 5, 15801 Lahti, Finland
A. Backlund
Metso Power Oy, P.O. Box 109, 33101 Tampere, Finland
Antti Oksanen
Tampere University of Technology, Institute of Energy and Process Engineering

ABSTRACT

The present paper shows three examples of a successful application of optimization in the field of combustion. In the first example, a computational fluid dynamics (CFD)-based mathematical model was applied to study emission formation in a 40 MWth boiler burning biomass. There were nine design variables (nine distinct NH3 injections in the selective noncatalytic reduction process) and two conflicting objective functions (minimize NO and NH3 emission in flue gas). Two inherently different optimization algorithms, viz. a genetic algorithm and Powell's conjugate-direction method, were applied. As a result, several possible solutions to decrease NO and NH3 emissions were identified by approximating the Pareto optimal set. In the second example, a CFD-based model was applied to predict NO emission from a 5 MWth gas burner. The sizes of fuel (CH4) injection holes were varied. In the third example, a laboratory-scale experimental reactor was applied to study the effect of temperature, O2, NO, and NH3 on the formation of NO. The Taguchi method − a method based on design of experiments − was applied to select the parameters in the experimental runs.


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