Advances and perspectives of response surface methodology for product optimization, prediction and synergy identification in biomass and plastic co-pyrolysis

作者：Shengyu Xie, Qingting Yang, Chuan Ma, Shogo Kumagai, Hao Wu, Changsong Zhou, Qiangqiang Ren, Hongmin Yang, Toshiaki Yoshioka · 发表于：Journal of Analytical and Applied Pyrolysis · 年份：2025 · DOI：10.1016/j.jaap.2025.107550 · 被引用次数：9 · 研究领域：Thermochemical Biomass Conversion Processes、Thermodynamic and Exergetic Analyses of Power and Cooling Systems、Thermal and Kinetic Analysis

Co-pyrolysis of biomass and plastic waste has emerged as a promising thermochemical route for sustainable fuel and chemical production. However, the complex interplay of biomass composition, plastic types, and operating conditions causes uncertainties in product distribution and ambiguous pyrolytic synergy, hindering process optimization and prediction. Compared with conventional methods, response surface methodology (RSM) can simultaneously assess multi-variable interactions, reduce experimental numbers, and visualize synergistic effects via intuitive response surface plots. This review discusses recent progress in applying RSM to the co-pyrolysis of biomass and plastic, particularly in modeling the influence of critical variables. Temperature and feedstock mixing ratio are important factors in co-pyrolysis, and understanding the independent and interactive effects of pyrolysis parameters is essential for maximizing the yield of target products. Additionally, RSM has demonstrated high predictive accuracy (R 2 > 0.9) in numerous studies for key pyrolysis outputs, including yields of bio-oil, char, gas, and specific pyrolyzates (levoglucosan, furfural, phenols, and hydrocarbon oil). The potential pyrolytic synergy between biomass and plastics can be visualized through quadratic and cubic models, arising from radical reaction mechanism, heat transfer, and catalytic effects. More importantly, integrating hierarchical cluster analysis has further enhanced the understanding of how...