ANN-GA based optimization of a high ash coal-fired supercritical power plant

Applied Energy

Volumn 88, Issue 12, 2011, Pages 4867-4873

  Suresh, M V J J ^a   Reddy, K S ^a   Kolar, Ajit Kumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Artificial neural network; Energy; Exergy; Genetic algorithm; High ash coal; Supercritical power plant

Indexed keywords

COAL; COMPUTER SIMULATION; EXERGY; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; STEAM POWER PLANTS; THERMOANALYSIS;

ARTIFICIAL NEURAL NETWORK; CLIMATIC CONDITIONS; COAL-FIRED POWER PLANT; DESIGN PARAMETERS; DEVELOPED MODEL; ENERGY; ENERGY AND EXERGY; ENERGY INPUTS; EXCESS AIR RATIOS; EXTRACTION PRESSURE; FITNESS FUNCTIONS; HIGH ASH COAL; MINIMUM ENERGY; NEURO-GENETIC; ONLINE OPTIMIZATION; OPERATING PARAMETERS; PLANT EFFICIENCY; PLANT SIMULATION; QUICK RESPONSE; SIMULTANEOUS OPTIMIZATION; STEAM PRESSURES; SUPERCRITICAL POWER PLANT; THERMO DYNAMIC ANALYSIS; THERMODYNAMIC PERFORMANCE;

FOSSIL FUEL POWER PLANTS;

ARTIFICIAL NEURAL NETWORK; ASH; CLIMATE CONDITIONS; COAL-FIRED POWER PLANT; DEVELOPING WORLD; ENERGY EFFICIENCY; EXERGY; GENETIC ALGORITHM; OPTIMIZATION; THERMODYNAMICS;

INDIA;

EID: 80052271121     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.06.029     Document Type: Article

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