Potnuri Ramesh, Suriapparao Dadi V, Sankar Rao Chinta, Sridevi Veluru, Kumar Abhishankar, Shah Manan
Department of Chemical Engineering, National Institute of Technology Karnataka, Surathkal 575025, India.
Department of Chemical Engineering, Pandit Deendayal Energy University, Gandhinagar 382426, India.
Bioresour Technol. 2022 Nov;364:128099. doi: 10.1016/j.biortech.2022.128099. Epub 2022 Oct 12.
In the current study, the effect of torrefaction temperatures (125-175 °C) and catalyst quantity (5-15 g) on co-pyrolysis of torrefied sawdust (TSD) and polystyrene (PS) are investigated to obtain value-added products. The role of torrefaction in co-pyrolysis of TSD: PS was analyzed to understand the product yields, synergy, and energy consumption . As the torrefaction temperature increases, oil yield (48.3-59.6 wt%) and char yield (24.3-29 wt%) increase while gas yield (27.4-11.4 wt%) decreases. Catalytic co-pyrolysis showed a significant level of synergy when compared to non-catalytic co-pyrolysis. For the conversion (%), a positive synergy maximum (-2.6) exists at a torrefaction temperature of 175 °C and 15 g of KOH catalyst. To develop the model, polynomial regression-based machine learning was used to predict pyrolysisproduct yields and energy usage variables. The developed models showed significant prediction accuracy (R > 0.98), suggesting the experimental values and the predicted values matched well.
在当前研究中,研究了烘焙温度(125 - 175°C)和催化剂用量(5 - 15 g)对烘焙锯末(TSD)和聚苯乙烯(PS)共热解以获得增值产品的影响。分析了烘焙在TSD:PS共热解中的作用,以了解产物产率、协同作用和能量消耗。随着烘焙温度升高,油产率(48.3 - 59.6 wt%)和焦炭产率(24.3 - 29 wt%)增加,而气体产率(27.4 - 11.4 wt%)降低。与非催化共热解相比,催化共热解表现出显著的协同水平。对于转化率(%),在175°C的烘焙温度和15 g KOH催化剂下存在正协同最大值(-2.6)。为了建立模型,使用基于多项式回归的机器学习来预测热解产物产率和能量使用变量。所建立的模型显示出显著的预测准确性(R > 0.98),表明实验值和预测值匹配良好。