Blockchain-like Eα analysis strategy for two distinct "White-box" modeling methodologies to simulate the incineration of oily sludge. (15th January 2023)

• Record Type: Journal Article
• Authors: Qi, Yuanfeng; Wang, Wei; Quan, Xiao; Fan, Chenxi; Ge, Baoxin; Xu, Chang; Cui, Mingyang; Yue, Qinyan; Gao, Baoyu; Gao, Yue; He, Kai
• Is Part Of: Journal of cleaner production. Volume 384(2023)
• Publication Date: 2023-01-15
• Subjects: Activation energy analysis -- Kinetic models -- Oily sludge -- Non-isothermal incineration -- Data reproducibility; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2022.135678
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: The upstream oily sludge (UOS) incineration process conducted in a co-current flow rotary kiln was examined by TG/DTG/DSC thermal analysis and simulated by distinct "White-Box" kinetic models. Inspired by the "Blockchain" idea, novel activation energy ( E α ) analysis strategy was first put forward to overcome the questions encountered in the modeling processes. Thermal analysis indicated UOS incineration was a non-isothermal process formed by three reaction stages. Full-range E α analysis combined with core-point E analysis revealed three multi-step reactions were respectively carried out in the three stages of UOS incineration, and each multi-step reaction was dominated by a specific single-step reaction. The "White Box" kinetic models utilized to simulate the original TG data were respectively established via the Sectionalized Single-step Reaction Approach (SSRA) and the Gaussian-Distributed Activation Energy Model (G-DAEM). Data reproducibility evaluation indicated the "kinetic triplet" of the dominant single-step reaction was beneficial for the construction of SSRA models, and the "kinetic triplet matrix" of the multi-step reaction was rewarding for the establishment of G-DAEM models. Discrepancy analysis manifested the efficiency of G-DAEM models was superior to that of SSRA models because G-DAEM models are more flexible in depicting the complex UOS incineration process. Graphical abstract: Image 1 Highlights: ●A novel Blockchain-like E α analysis strategy was first put forward. ●UOS incinerated in rotary kiln was simulated by distinct "White-Box" models. ●The data reproducibility and discrepancy were evaluated and traced.