Uncertainty estimation approach in catalytic fast pyrolysis of rice husk: Thermal degradation, kinetic and thermodynamic parameters study. (December 2019)

• Record Type: Journal Article
• Authors: Loy, Adrian Chun Minh; Yusup, Suzana; How, Bing Shen; Yiin, Chung Loong; Chin, Bridgid Lai Fui; Muhammad, Mustakimah; Gwee, Yong Ling
• Is Part Of: Bioresource technology. Volume 294(2019)
• Publication Date: 2019-12
• Subjects: RH Rice husk -- IEA International Energy Agency -- NCFP non-catalytic fast pyrolysis -- CFP catalytic fast pyrolysis -- TGA Thermogravimetric analysis -- DTG difference thermogravimetry -- EA activation energy -- A pre-exponential value -- ΔH Enthalpy -- ΔS Entropy -- ΔG Gibb's energy -- MNLR non-linear regression model -- IEA International Energy Agency -- MC moisture content -- VM volatile matter -- FC fixed carbon -- AC ash content -- LHV lower heating value -- RH/N thermal degradation of rice husk in catalytic fast pyrolysis using nickel as catalyst -- RH/Z thermal degradation of rice husk in catalytic fast pyrolysis using nature zeolite as catalyst -- VIF variation inflation factor -- D-W Durbin Watson factor -- MC Monte Carlo; Rice husk -- Catalytic fast pyrolysis -- Kinetic study -- Multi non-linear regression -- Monte Carlo simulation -- Uncertainty analysis; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2019.122089
• Languages: English
• ISSNs: 0960-8524

Abstract

Graphical abstract: Highlights: Thermochemical kinetic parameters of NCFP and CFP of RH were studied. Lowest EA (153.10 kJ/mol) was attained in CFP using natural zeolite catalyst. The best-fit MNLR model was derived to predict mass loss percentage. The uncertainty of the MNLR model was identified using Monte Carlo approach. The probability of the highest MLP can be obtained was 73.8–74.0% in CFP of rice husk. Abstract: The aim of this study was to understand the influence of catalyst in thermal degradation behavior of rice husk (RH) in catalytic fast pyrolysis (CFP) process. An iso-conversional Kissinger kinetic model was introduced into this study to understand the activation energy ( EA ), pre-exponential value ( A ), Enthalpy ( ΔH), Entropy ( ΔS) and Gibb's energy ( ΔG ) of non-catalytic fast pyrolysis (NCFP) and CFP of RH. The study revealed that the addition of natural zeolite catalyst enhanced the rate of devolatilization and decomposition of RH associated with lowest EA value (153.10 kJ/mol) compared to other NCFP and CFP using nickel catalyst. Lastly, an uncertainty estimation was applied on the best fit non-linear regression model (MNLR) to identify the explanatory variables. The finding showed that it had the highest probability to obtain 73.8–74.0% mass loss in CFP of rice husk using natural zeolite catalyst.