LAPSE:2020.1202
Published Article
LAPSE:2020.1202
Kinetic Analysis of Algae Gasification by Distributed Activation Energy Model
December 17, 2020
Conversion of algal biomass into energy products via gasification has attracted increasing research interests. A basic understanding of the gasification kinetics of algal biomass is of fundamental importance. Distributed activation energy model (DAEM), which provides the information of energy barrier distribution during the gasification process, is a promising tool to study the kinetic process of algae gasification. In this study, DAEM model was used to investigate Chlorella vulgaris and Spirulina gasification. The activation energy of Chlorella vulgaris gasification was in the range from 370 to 650 kJ mol−1. The range of activation energy for Spirulina gasification was a bit wider, spanning from 330 to 670 kJ mol−1. The distribution of activation energy for both Chlorella vulgaris and Spirulina showed that 500 kJ mol−1 had the most components, and these components were gasified at around 300 °C. The DAEM algorithm was validated by the conversion and conversion rate from experimental measurement, demonstrating that DAEM is accurate to describe the kinetics of algal biomass gasification.
Record ID
Keywords
activation energy distribution, algal biomass, gasification, kinetics
Subject
Suggested Citation
Ji G, Raheem A, Wang X, Fu W, Qu B, Gao Y, Li A, Zhao M, Dong W, Zhang Z. Kinetic Analysis of Algae Gasification by Distributed Activation Energy Model. (2020). LAPSE:2020.1202
Author Affiliations
Ji G: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, Dalian 116024, China [ORCID]
Raheem A: School of Environment, Tsinghua University, Beijing 100084, China
Wang X: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
Fu W: School of Chemical Engineering, The University of Queensland, St Lucia 4072, QLD, Australia
Qu B: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
Gao Y: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, Dalian 116024, China
Li A: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, Dalian 116024, China
Zhao M: School of Environment, Tsinghua University, Beijing 100084, China
Dong W: School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China
Zhang Z: William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH 43210, USA [ORCID]
Raheem A: School of Environment, Tsinghua University, Beijing 100084, China
Wang X: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
Fu W: School of Chemical Engineering, The University of Queensland, St Lucia 4072, QLD, Australia
Qu B: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
Gao Y: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, Dalian 116024, China
Li A: School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China; Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, Dalian 116024, China
Zhao M: School of Environment, Tsinghua University, Beijing 100084, China
Dong W: School of Management, China University of Mining and Technology (Beijing), Beijing 100083, China
Zhang Z: William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH 43210, USA [ORCID]
Journal Name
Processes
Volume
8
Issue
8
Article Number
E927
Year
2020
Publication Date
2020-08-02
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8080927, Publication Type: Journal Article
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LAPSE:2020.1202
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External Link
doi:10.3390/pr8080927
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[v1] (Original Submission)
Dec 17, 2020
Verified by curator on
Dec 17, 2020
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v1
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https://psecommunity.org/LAPSE:2020.1202
Original Submitter
Calvin Tsay
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