Modeling and process simulation of waste macadamia nutshell pyrolysis using Aspen Plus software

被引:7
|
作者
Hasan, M. M. [1 ,3 ]
Rasul, M. G. [1 ,3 ]
Jahirul, M. I. [1 ,3 ]
Khan, M. M. K. [2 ,3 ]
机构
[1] Cent Queensland Univ, Sch Engn & Technol, Rockhampton, Qld 4701, Australia
[2] Cent Queensland Univ, Sch Engn & Technol, Melbourne, Vic 3000, Australia
[3] Cent Queensland Univ, Fuel & Energy Res Grp, Rockhampton, Qld 4701, Australia
关键词
Aspen Plus; Macadamia nutshell; Pyrolysis; Bio-oil; Modeling and simulation; Waste to energy; BIOMASS PYROLYSIS; BIO-OIL;
D O I
10.1016/j.egyr.2022.10.323
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The production of biofuel from any biomass waste like waste macadamia nutshell (WMNS) using pyrolysis has recently gained enormous attention as it can address both issues related to environmental pollution and fuel crisis. However, pyrolysis experiments are time consuming and costly. Therefore, this study aimed to develop a process model for WMNS pyrolysis process using Aspen Plus software to analyze the complicated pyrolysis reactive system and obtain valuable insights into how to optimize pyrolysis operating conditions. In this study, WMNS was pyrolyzed at 500 degrees C and its products yield, namely bio-oil, biochar, and syngas, was measured. The bio-oil was then analyzed for its elemental composition. The experimental conditions were recreated in ASPEN Plus model and validated against experimental results. A high degree of agreement was found between the simulation and experimental results. To study the effect of various parameters on pyrolysis products yield as well as the composition of bio-oil, many simulation runs were carried out at different moisture contents of WMNS, pyrolysis operating temperatures, and WMNS particle sizes. It was found that amongst these parameters, pyrolysis operating temperature played the most significant role in determining the yields of pyrolysis products and bio-oil composition. It can be concluded that the developed model is capable of predicting pyrolysis products yield and bio-oil composition for any biomass waste. (C) 2022 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:429 / 437
页数:9
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