Optimization of coal-fired boiler SCRs based on modified support vector machine models and genetic algorithms

Fuel

Volumn 88, Issue 5, 2009, Pages 806-816

  Si, Fengqi ^a   Romero, Carlos E ^b   Yao, Zheng ^b   Schuster, Eugenio ^b   Xu, Zhigao ^a   Morey, Robert L ^c   Liebowitz, Barry N ^d  

^a SOUTHEAST UNIVERSITY   (China)

^b LEHIGH UNIVERSITY   (United States)

^c AES Cayuga LLC   (United States)

^d New York State Energy Research and Development Authority   (United States)

Author keywords

Adaptive learning; Coal fired boiler; Genetic algorithms; Multi objective combustion optimization

Indexed keywords

ADAPTIVE ALGORITHMS; AIR POLLUTION; AIR PREHEATERS; ALGORITHMS; AMMONIUM COMPOUNDS; BOILERS; COAL; COAL INDUSTRY; COMBUSTION; GENETIC ALGORITHMS; LEARNING ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; OPERATING COSTS; OPTIMIZATION; REGRESSION ANALYSIS; SELECTIVE CATALYTIC REDUCTION; SMOKE; SUPPORT VECTOR MACHINES; THERMOCHEMISTRY;

ADAPTIVE LEARNING; AMMONIUM BISULFATES; CHARACTERISTIC FUNCTIONS; COAL QUALITIES; COAL-FIRED BOILER; COAL-FIRED UNITS; FIELD TESTS; HEAT RATES; MODEL PARAMETERS; MULTI-OBJECTIVE COMBUSTION OPTIMIZATION; ON-LINE SUPPORTS; OPTIMAL SOLUTIONS; OPTIMIZATION SCHEMES; PARETO FRONTS; PLANT EQUIPMENTS; PRE HEATERS; REAGENT CONSUMPTION; SELECTIVE CATALYSTS; SUPPORT VECTORS; TEST DATUM; THERMAL EFFICIENCIES; TRADE OFFS; TWO STAGES;

COAL COMBUSTION;

EID: 59349083529     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2008.10.038     Document Type: Article

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