A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition
Modeling is regarded as a suitable tool to improve biomass pyrolysis in terms of efficiency, product yield, and controllability. However, it is crucial to develop advanced models to estimate products' yield and composition as functions of biomass type/characteristics and process conditions. Des...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Alpha Creation Enterprise
2021-03-01
|
| Series: | Biofuel Research Journal |
| Subjects: | |
| Online Access: | https://www.biofueljournal.com/article_127217_a7345397906dbd9e84bef234195bc23c.pdf |
| _version_ | 1797243573122367488 |
|---|---|
| author | Changlei Xia Liping Cai Haifeng Zhang Lei Zuo Sheldon Shi Su Shiung Lam |
| author_facet | Changlei Xia Liping Cai Haifeng Zhang Lei Zuo Sheldon Shi Su Shiung Lam |
| author_sort | Changlei Xia |
| collection | DOAJ |
| description | Modeling is regarded as a suitable tool to improve biomass pyrolysis in terms of efficiency, product yield, and controllability. However, it is crucial to develop advanced models to estimate products' yield and composition as functions of biomass type/characteristics and process conditions. Despite many developed models, most of them suffer from insufficient validation due to the complexity in determining the chemical compounds and their quantity. To this end, the present paper reviewed the modeling and verification of products derived from biomass pyrolysis. Besides, the possible solutions towards more accurate modeling of biomass pyrolysis were discussed. First of all, the paper commenced reviewing current models and validating methods of biomass pyrolysis. Afterward, the influences of biomass characteristics, particle size, and heat transfer on biomass pyrolysis, particle motion, reaction kinetics, product prediction, experimental validation, current gas sensors, and potential applications were reviewed and discussed comprehensively. There are some difficulties with using current pyrolysis gas chromatography and mass spectrometry (Py-GC/MS) for modeling and validation purposes due to its bulkiness, fragility, slow detection, and high cost. On account of this, the applications of Py-GC/MS in industries are limited, particularly for online product yield and composition measurements. In the final stage, a recommendation was provided to utilize high-temperature sensors with high potentials to precisely validate the models for product yield and composition (especially CO, CO2, and H2) during biomass pyrolysis. |
| first_indexed | 2024-04-24T18:57:15Z |
| format | Article |
| id | doaj.art-4ebda41ed8e44fad89b9fd722ab577c0 |
| institution | Directory Open Access Journal |
| issn | 2292-8782 2292-8782 |
| language | English |
| last_indexed | 2024-04-24T18:57:15Z |
| publishDate | 2021-03-01 |
| publisher | Alpha Creation Enterprise |
| record_format | Article |
| series | Biofuel Research Journal |
| spelling | doaj.art-4ebda41ed8e44fad89b9fd722ab577c02024-03-26T15:13:22ZengAlpha Creation EnterpriseBiofuel Research Journal2292-87822292-87822021-03-01811296131510.18331/BRJ2021.8.1.2127217A review on the modeling and validation of biomass pyrolysis with a focus on product yield and compositionChanglei Xia0Liping Cai1Haifeng Zhang2Lei Zuo3Sheldon Shi4Su Shiung Lam5Department of Mechanical Engineering, University of North Texas, Denton, Texas 76203, USA.Department of Mechanical Engineering, University of North Texas, Denton, Texas 76203, USA.Department of Mechanical Engineering, University of North Texas, Denton, Texas 76203, USA.Mechanical Engineering, NSF I/UCRC Center for Energy Harvesting Materials and Systems (CEHMS), Virginia Tech, 311 Durham Hall, Blacksburg, VA 24061, USA.Department of Mechanical Engineering, University of North Texas, Denton, Texas 76203, USA.Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.Modeling is regarded as a suitable tool to improve biomass pyrolysis in terms of efficiency, product yield, and controllability. However, it is crucial to develop advanced models to estimate products' yield and composition as functions of biomass type/characteristics and process conditions. Despite many developed models, most of them suffer from insufficient validation due to the complexity in determining the chemical compounds and their quantity. To this end, the present paper reviewed the modeling and verification of products derived from biomass pyrolysis. Besides, the possible solutions towards more accurate modeling of biomass pyrolysis were discussed. First of all, the paper commenced reviewing current models and validating methods of biomass pyrolysis. Afterward, the influences of biomass characteristics, particle size, and heat transfer on biomass pyrolysis, particle motion, reaction kinetics, product prediction, experimental validation, current gas sensors, and potential applications were reviewed and discussed comprehensively. There are some difficulties with using current pyrolysis gas chromatography and mass spectrometry (Py-GC/MS) for modeling and validation purposes due to its bulkiness, fragility, slow detection, and high cost. On account of this, the applications of Py-GC/MS in industries are limited, particularly for online product yield and composition measurements. In the final stage, a recommendation was provided to utilize high-temperature sensors with high potentials to precisely validate the models for product yield and composition (especially CO, CO2, and H2) during biomass pyrolysis.https://www.biofueljournal.com/article_127217_a7345397906dbd9e84bef234195bc23c.pdfbioenergylignocellulosebiomasspyrolysisreaction kineticssensor |
| spellingShingle | Changlei Xia Liping Cai Haifeng Zhang Lei Zuo Sheldon Shi Su Shiung Lam A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition Biofuel Research Journal bioenergy lignocellulose biomass pyrolysis reaction kinetics sensor |
| title | A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition |
| title_full | A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition |
| title_fullStr | A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition |
| title_full_unstemmed | A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition |
| title_short | A review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition |
| title_sort | review on the modeling and validation of biomass pyrolysis with a focus on product yield and composition |
| topic | bioenergy lignocellulose biomass pyrolysis reaction kinetics sensor |
| url | https://www.biofueljournal.com/article_127217_a7345397906dbd9e84bef234195bc23c.pdf |
| work_keys_str_mv | AT changleixia areviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT lipingcai areviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT haifengzhang areviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT leizuo areviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT sheldonshi areviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT sushiunglam areviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT changleixia reviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT lipingcai reviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT haifengzhang reviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT leizuo reviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT sheldonshi reviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition AT sushiunglam reviewonthemodelingandvalidationofbiomasspyrolysiswithafocusonproductyieldandcomposition |