Studies on thermokinetic of Chlorella pyrenoidosa devolatilization via different models. (November 2017)

• Record Type: Journal Article
• Authors: Chen, Zhihua; Lei, Jianshen; Li, Yunbei; Su, Xianfa; Hu, Zhiquan; Guo, Dabin
• Is Part Of: Bioresource technology. Volume 244:Part 1(2017)
• Page Start: 320
• Page End: 327
• Publication Date: 2017-11
• Subjects: Microalgae -- Devolatilization -- Chlorella pyrenoidosa -- Kinetic; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2017.07.144
• Languages: English
• ISSNs: 0960-8524

Abstract

Highlights: Kinetics of Chlorella pyrenoidosa devolatilization were comparatively investigated. Logistic activation energy distribution was most suitable for CP devolatilization. Discreted DAEM was performed based on iso-conversional method. CP devolatilization could be modeled perfectly by Miura-Maki and discreted DAEM. Abstract: The thermokinetics of Chlorella pyrenoidosa (CP) devolatilization were investigated based on iso-conversional model and different distributed activation energy models (DAEM). Iso-conversional process result showed that CP devolatilization roughly followed a single-step with mechanism function of f ( α ) = (1 − α ) 3, and kinetic parameters pair of E 0 = 180.5 kJ/mol and A 0 = 1.5E + 13 s −1 . Logistic distribution was the most suitable activation energy distribution function for CP devolatilization. Although reaction order n = 3.3 was in accordance with iso-conversional process, Logistic DAEM could not detail the weight loss features since it presented as single-step reaction. The un-uniform feature of activation energy distribution in Miura-Maki DAEM, and weight fraction distribution in discrete DAEM reflected weight loss features. Due to the un-uniform distribution of activation and weight fraction, Miura-Maki DAEM and discreted DAEM could describe weight loss features.