Herein, the hierarchical clustering analysis (HCA) and response surface methodology (RSM) were used to rapidly determine synergies and predict product yields of xylan and polyethylene (PE) co-pyrolysis at 500–700 ☌. N2 - The distributions of biomass and plastic co-pyrolysis products are complicated by abundant component combinations, pyrolysis conditions, and synergies. Shengyu Xie was supported by the Chinese Scholarship Council (Grant number: CSC201904910424). This work was supported by the JST FOREST Program (Grant number: JPMJFR206U ). T2 - Insight into co-pyrolysis of xylan and polyethylene

T1 - A novel strategy for rapid identification of pyrolytic synergy and prediction of product yield This work illustrates the utility of combining RSM and HCA to predict product distributions of various waste co-treatment processes.', The linear model described the CO2 yield without synergy. Owing to complex interactions, the cubic model fitted the CH4 and C2H4 yields. The quadratic model of RSM predicted the yields of gas, CO, C3Hn, C4Hn, liquid, ethanol, acetaldehyde, hydrocarbon oil, gasoline, solid, and char influenced by synergies. HCA classified pyrolyzates with similar synergy into the same cluster, which reflected the suppressed carbonyl compound production, enhanced furfural and phenols yields at 700 ☌, and greater C17–C30 hydrocarbon production. Pyrolytic interactions improved the decomposition of the PE-derived wax, resulting in 1.5–1.9- and 1.7–2.1-fold higher yields of heavy gas oil and C≥26 hydrocarbons compared to the theoretical values. The results showed that co-pyrolysis promoted liquid production and suppressed solid and char formation. This work illustrates the utility of combining RSM and HCA to predict product distributions of various waste co-treatment processes.Ībstract = 'The distributions of biomass and plastic co-pyrolysis products are complicated by abundant component combinations, pyrolysis conditions, and synergies. The linear model described the CO 2 yield without synergy. Owing to complex interactions, the cubic model fitted the CH 4 and C 2H 4 yields. The quadratic model of RSM predicted the yields of gas, CO, C 3H n, C 4H n, liquid, ethanol, acetaldehyde, hydrocarbon oil, gasoline, solid, and char influenced by synergies. HCA classified pyrolyzates with similar synergy into the same cluster, which reflected the suppressed carbonyl compound production, enhanced furfural and phenols yields at 700 ☌, and greater C 17–C 30 hydrocarbon production.

Pyrolytic interactions improved the decomposition of the PE-derived wax, resulting in 1.5–1.9- and 1.7–2.1-fold higher yields of heavy gas oil and C ≥26 hydrocarbons compared to the theoretical values.

The distributions of biomass and plastic co-pyrolysis products are complicated by abundant component combinations, pyrolysis conditions, and synergies.

Synergy gas modeling