Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks
Abstract Co-combustion characteristics of textile dyeing sludge (TDS) and pomelo peel (PP) under O 2 /N 2 and O 2 /CO 2 atmospheres were investigated using a thermogravimetric analysis (TGA) and artificial neural networks. 30% O 2 /70% CO 2 and air atmospheres led to a similar co-combustion performance. Increases in O 2 concentration and PP significantly improved the oxy-fuel co-combustion performance of TDS. Principal component analysis was applied to reduce the dimensionality of differential TGA curves and to identify the principal reactions. The interaction between TDS and PP occurred mainly at 490–600 °C, thus improving the process of residue co-combustion. Radial basis function was found to have more reliable and robust predictions of TGA under different O 2 /CO 2 atmospheres than did Bayesian regularized network. Regardless of Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods used, the lowest mean value of apparent activation energy (155.4 kJ·mol −1 by FWO and 153.2 kJ·mol −1 by KAS) was obtained under the 30% O 2 /70% CO 2 atmosphere. Highlights Co-combustion of TDS and PP was studied under O 2 /N 2 and O 2 /CO 2 atmospheres. Principal component analysis was used to identify the principal reactions. The interaction of blends occurred mainly between 490 and 600 °C. Bayesian regularized network had a more reliable and robust prediction. The lowest activation energy was obtained under 30% O 2 /70% CO 2 atmosphere.
- 원문이 없습니다.
유료 다운로드의 경우 해당 사이트의 정책에 따라 신규 회원가입, 로그인, 유료 구매 등이 필요할 수 있습니다. 해당 사이트에서 발생하는 귀하의 모든 정보활동은 NDSL의 서비스 정책과 무관합니다.
원문복사신청을 하시면, 일부 해외 인쇄학술지의 경우 외국학술지지원센터(FRIC)에서
무료 원문복사 서비스를 제공합니다.
NDSL에서는 해당 원문을 복사서비스하고 있습니다. 위의 원문복사신청 또는 장바구니 담기를 통하여 원문복사서비스 이용이 가능합니다.
- 이 논문과 함께 출판된 논문 + 더보기