Simulation and Optimization of Bio-Methanol Production from Steam Gasification of Sugarcane Bagasse Using Aspen Plus

Author:

Ainerua Emmanuela O.,Ossai Blessing J.,Oboh Innocent O.

Abstract

The detrimental environmental impacts of fossil fuels are increasing due to the growing global energy consumption. Thus, energy recovery from waste materials will inevitably become the dominant option in the future with population growth and the reduction in fossil resources. A model for the production of Bio-methanol was developed using Aspen Plus and design of experiment and optimization were carried out using Design Expert software. Factors selected for the design of experiment were the gasification temperature, gasification pressure and steam / biomass ratio with their values ranging from 500 – 800oC, 1 - 3 bar and 0.5 - 2.5 respectively. The effects of interaction between the variables and the response were studied using the Box-Behnken design. The developed model was validated using the yield of bio-methanol from experimental data in literature. The model gave bio-methanol yield as 4.54% while the bio-methanol yield from experimental data obtained was 5.93%. The results from Response surface methodology (RSM) gave the quadratic model as best fit for the production of bio-methanol. The coefficient of determination for bio-methanol yield was found to be 0.9435. The optimum gasification conditions were found to be; temperature of 800oC, pressure of 1 bar and steam / feed ratio of 0.5 and these gave rise to the maximum bio-methanol yield of 86.32%. High temperature, low gasification agent (steam/feed ratio) and low pressure favours optimum bio-methanol yield.

Publisher

Sciencedomain International

Subject

General Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Thermochemical recovery of propylene from plastic waste: A review;Alexandria Engineering Journal;2024-10

2. A concise review on biorefinery remedies for biomethanol production and processing;Biocatalysis and Agricultural Biotechnology;2024-04

3. Process Design and Optimization of Agricultural Waste Resources to Biomethanol;Reference Module in Chemistry, Molecular Sciences and Chemical Engineering;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3