Awad Mahmoud I, Makkawi Yassir, Hassan Noha M
Industrial Engineering Department, American University of Sharjah, Sharjah 266666, United Arab Emirates.
Chemical Engineering Department, American University of Sharjah, Sharjah 266666, United Arab Emirates.
ACS Omega. 2024 Apr 10;9(16):18654-18667. doi: 10.1021/acsomega.4c01646. eCollection 2024 Apr 23.
Pyrolysis offers a sustainable and efficient approach to resource utilization and waste management, transforming organic materials into valuable products. The quality and distribution of the pyrolysis products highly depend on the constituents' properties and set process parameters. This research aims to investigate and model this dependency, offering decision-makers a tool to guide them when designing the process for a particular application. Experimental data on the pyrolysis of various types of feedstocks processed at a wide range of pyrolysis temperatures (350-650 °C) are utilized to develop the prediction models. Four variables are modeled: the yield and energy content for both the biochar and bio-oil as a function of the pyrolysis temperature and feedstock characteristics. The models developed had very good prediction power with the coefficient of determination above 90%. The results highlight the advantages of food waste (leftover) as a suitable feedstock to produce biochar at the pyrolysis temperature within the range of 450-550 °C. Furthermore, the biofuels produced from food waste are found to be of good quality, with the bio-oil exceptionally high in energy content (HHV = 34.6 MJ/kg), which is almost 80% of that of diesel. The developed models provide a tool for predicting the biofuel yield and quality based on the feedstock selection and process temperature.
热解为资源利用和废物管理提供了一种可持续且高效的方法，可将有机材料转化为有价值的产品。热解产物的质量和分布高度依赖于成分特性和设定的工艺参数。本研究旨在探究并建立这种依赖性模型，为决策者在设计特定应用的工艺时提供指导工具。利用在广泛的热解温度（350 - 650°C）下对各种类型原料进行热解的实验数据来开发预测模型。对四个变量进行建模：生物炭和生物油的产率及能量含量作为热解温度和原料特性的函数。所开发的模型具有非常好的预测能力，决定系数高于90%。结果突出了食物残渣作为合适原料在450 - 550°C范围内的热解温度下生产生物炭的优势。此外，发现由食物残渣产生的生物燃料质量良好，生物油的能量含量极高（高热值 = 34.6兆焦/千克），几乎是柴油的80%。所开发的模型为基于原料选择和工艺温度预测生物燃料产率和质量提供了一种工具。
