Investigation of Supercritical Power Plant Boiler Combustion Process Optimization through CFD and Genetic Algorithm Methods

One of the main energy sources utilized to produce power is coal. Due lack combustion enhancement, issue with coal-based plants that they significant amount pollutants. The major problem slagging formation within boiler; it sticks water tube walls, superheater, and reheater. Slagging might decrease heat transferred from area or steam inside tubes, increasing coal extra air. abrupt fall slag on surface into water-filled seal-trough at bottom furnace occasionally cause boiler explosions. In order maximize transmission tubes by reducing eliminating surface, work presented here proposes an appropriate computational fluid dynamics (CFD) technique a genetic algorithm (GA) integrated conventional supercritical plant operation. Coal usage surplus air demand are both decreased concurrently. By controlling velocity temperatures primary secondary air, devised could optimize flue gas temperature prevent ash melting clinging surfaces. Heat in increased 5945.876 W/m2 87,513.9 as result regulated accumulation. addition CO2 emissions 8.55 tonnes per hour saving close nine hour, boiler’s efficiency 82.397% 85.104%.