Primena CFD-a i veštačke inteligencije za predikciju sagorelosti i vremena zadržavanja čestica biomase u reaktoru / Application of CFD and Artificial Intelligence for Prediction of Biomass Particle Burnout and Residence Time in the Reactor

Energija, ekonomija, ekologija, 1, XXIV, 2022, (str. 40-46)

АУТОР(И): Mileta Žarković, Vladimir Antonijević, Aleksandar Milićević, Srđan Belošević

Е-АДРЕСА: mileta@etf.rs

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DOI: 10.46793/EEE22-1.40Z

САЖЕТАК:

U planiranju razvoja energetskog sektora sve veća pažnja se poklanja obnovljivim izvorima energije, kao što je biomasa. Proces (ko)sagorevanja biomase u ložištima kotlova je izuzetno kompleksan sa mnogo spregnutih parametara. Zbog toga se pristupa razvoju i primeni kompjuterske mehanike fluida i veštačke inteligencije, kao efikasnih alata za analizu fizičkih i hemijskih procesa koji se odvijaju tokom sagorevanja. U radu su predstavljeni primenjeni CFD kod i metodologija primene adaptivnih neuro-fazi sistema (ANFIS) iz oblasti mašinskog učenja za predviđanje stepena sagorelosti i vremena zadržavanja čestica biomase u reaktoru snage 150 kW. Razmatrani su test-slučajevi sagorevanja tri vrste sprašene biomase raznih prečnika i faktora oblika. Baza podataka sa vrednostima stepena sagorelosti i vremenima zadržavanja čestica dobijena je pomoću numeričkih simulacija upotrebom sopstvenog razvijenog kompjuterskog koda. Rezultati primene ANFIS-a na formiranoj bazi ukazuju na mogućnost pouzdane procene stepena sagorelosti čestica biomase i vremena njihovog zadržavanja na osnovu poznavanja vrste, prečnika i faktora oblika goriva koje se unosi u ložište. Prezentovani modeli predstavljaju dobru osnovu za implementaciju i primenu CFD-a i ANFIS modela na raznim termo-energetskim postrojenjima, u cilju procene efikasnosti sagorevanja goriva u ložištu.

КЉУЧНЕ РЕЧИ:

biomasa, CFD, ANFIS, reaktor

ЛИТЕРАТУРА:

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