Optimizing refuse-derived fuel production from scheduled wastes through Aspen plus simulation: Perspective in the context of climate change

Muhammad Afiq Zubir,Hesam Kamyab,Yasser Vasseghian,Haslenda Hashim, Ong Mei Zhi, Sameer Rajaratnam Abdullah,Mohammad Yusuf, Balasubramaniam Kapran, Afif Hamidi Kori, Noor Shawal Nasri,Hien Y. Hoang

Environmental Research(2024)

引用 0|浏览2
暂无评分
摘要
This study aims to improve the quality of fuel with high calorific value namely Sfuel – a commercial high-quality refuse-derived fuel (RDF) from hazardous waste via modifying the process design and operating parameters of thermal conversion process. The study analyses key parameters of RDF quality, such as calorific value and heavy metal content, before and after process modifications based on the combination of experimental and simulation using Aspen Plus. In this study, the temperature and pressure of the simulation system are varied from 100 to 700 °C and from 1 to 5 bar, respectively. Findings indicate that there are a total of eleven heavy metals and 179 volatile compounds in the “Sfuels”. The quality of the targeted product is greatly improved by the metal evaporation at high temperatures and pressures. However, the calorific value of RDF significantly decreases at 700 °C due to a large amount of the carbon content being evaporated. Although the carbon content at high temperatures is significantly lost, the heat from the vapour stream reactor outlet, which is reused to preheat the nitrogen gas stream supplied to the system, reduces energy consumption while improving the thermal conversion efficiency of the system. Besides, low pressure along with high temperature are not the optimal conditions for quality Sfuels improvement by thermal conversion. Results also indicate that electric heating is more economically efficient than natural gas heating. This study contributes to the context of climate change by providing insights into the optimization of RDF production, which can help to reduce the environmental impact of waste disposal and maximizing energy efficiency.
更多
查看译文
关键词
Refuse-derived fuel,Aspen plus simulation,Heavy metal emissions,Calorific value,Climate change
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要