Reverse engineering of biochar
[Display omitted] •Starting biomass and peak pyrolysis temperature jointly affect biochar properties.•19 different physico-chemical properties of biochar were properly modeled by GLM.•Models reveal complex relationships between biochar properties and predictors.•Ubiquitous non-Gaussian and non-linea...
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Published in | Bioresource technology Vol. 183; pp. 163 - 174 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.05.2015
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Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•Starting biomass and peak pyrolysis temperature jointly affect biochar properties.•19 different physico-chemical properties of biochar were properly modeled by GLM.•Models reveal complex relationships between biochar properties and predictors.•Ubiquitous non-Gaussian and non-linear attributes were accounted for in GLMs.•Proposed correlation networks, models and web-tool can be used to engineer biochar.
This study underpins quantitative relationships that account for the combined effects that starting biomass and peak pyrolysis temperature have on physico-chemical properties of biochar. Meta-data was assembled from published data of diverse biochar samples (n=102) to (i) obtain networks of intercorrelated properties and (ii) derive models that predict biochar properties. Assembled correlation networks provide a qualitative overview of the combinations of biochar properties likely to occur in a sample. Generalized Linear Models are constructed to account for situations of varying complexity, including: dependence of biochar properties on single or multiple predictor variables, where dependence on multiple variables can have additive and/or interactive effects; non-linear relation between the response and predictors; and non-Gaussian data distributions. The web-tool Biochar Engineering implements the derived models to maximize their utility and distribution. Provided examples illustrate the practical use of the networks, models and web-tool to engineer biochars with prescribed properties desirable for hypothetical scenarios. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2015.02.043 |