The effect of torrefaction temperature and catalyst loading in Microwave-Assisted in-situ catalytic Co-Pyrolysis of torrefied biomass and plastic wastes

被引:20
|
作者
Potnuri, Ramesh [1 ]
Suriapparao, Dadi V. [2 ]
Rao, Chinta Sankar [1 ]
Sridevi, Veluru [3 ]
Kumar, Abhishankar [4 ]
Shah, Manan [2 ]
机构
[1] Natl Inst Technol Karnataka, Dept Chem Engn, Surathkal 575025, India
[2] Pandit Deendayal Energy Univ, Dept Chem Engn, Gandhinagar 382426, India
[3] Andhra Univ, Dept Chem Engg, Coll Engn, Visakhapatnam 530003, Andhra Pradesh, India
[4] MPM India Pvt Ltd, Head Data Sci Technol, Ganeshkhind Rd, Pune 411005, Maharashtra, India
关键词
Torrefaction; Sawdust; Polystyrene; Microwave-assisted pyrolysis; Synergistic effect; PROCESS PARAMETERS; POLYSTYRENE; OPTIMIZATION; POLYPROPYLENE; PRODUCTS;
D O I
10.1016/j.biortech.2022.128099
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
In the current study, the effect of torrefaction temperatures (125-175 degrees C) and catalyst quantity (5-15 g) on copyrolysis 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 degrees C and 15 g of KOH catalyst. To develop the model, polynomial regressionbased machine learning was used to predict pyrolysis product yields and energy usage variables. The developed models showed significant prediction accuracy (R-2 > 0.98), suggesting the experimental values and the predicted values matched well.
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页数:10
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