Anhydrous weight loss kinetics model development for torrefied green waste

Nur Ashikin, Jamin and Noor Asma Fazli, Abdul Samad and Suriyati, Saleh (2019) Anhydrous weight loss kinetics model development for torrefied green waste. In: IOP Conference Series: Materials Science and Engineering; 1st Process Systems Engineering and Safety Symposium 2019, ProSES 2019 , 4 September 2019 , Kuantan, Pahang, Malaysia. pp. 1-10., 702 (1). ISSN 1757-8981

[img]
Preview
Pdf
Anhydrous weight loss kinetics model development for torrefied green waste.pdf
Available under License Creative Commons Attribution.

Download (746kB) | Preview

Abstract

One of the compositions of municipal solid waste (MSW) is green waste (GW) that collected from landscaping, garden, yard and trimming waste. GW has potential in becoming a biomass feedstock, but poses some drawbacks such as high moisture content, low heating value, high O/C and H/C ratios. Implementation of torrefaction as pre-treatment will improve the GW properties. During torrefaction, biomass is decomposed and leads to anhydrous weight loss (AWL). The estimation model for AWL is significant to study thermal degradation of GW. The aim of this work is to study two steps reaction in series for AWL prediction. GW were torrefied under inert condition at 240-300°C, 10°C/min heating rate and 30 minutes holding time using thermogravimetric analysis (TGA). Two steps reaction series model named Di Blasi and Lanzetta with extended non-isothermal phase is used in developing the AWL model. From initial guess, the parameters of activation energy and kinetic constant are adjusted to fit the calculated AWL to experimental AWL data by applying nonlinear optimization 'lsqcurvefit' routine in Matlab. The estimated kinetic parameters been used for AWL model and later being compared to experimental data from TGA. Good agreement obtained between experimental and model data indicating good kinetic parameters estimation.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Biomass feedstock; Estimation models; High moisture contents; Kinetic constant; Kinetic parameters estimation; Low heating values; Municipal solid waste (MSW); Non-linear optimization
Subjects: Q Science > QD Chemistry
T Technology > T Technology (General)
T Technology > TP Chemical technology
Faculty/Division: Institute of Postgraduate Studies
Faculty of Chemical and Process Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 17 May 2023 06:50
Last Modified: 17 May 2023 06:50
URI: http://umpir.ump.edu.my/id/eprint/35835
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item