Article
Details
Citation
Morales VL, Pérez-Reche FJ, Hapca SM, Hanley KL, Lehmann J & Zhang W (2015) Reverse engineering of biochar. Bioresource Technology, 183, pp. 163-174. https://doi.org/10.1016/j.biortech.2015.02.043
Abstract
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. © 2015 Elsevier Ltd.
Keywords
physico-chemical properties; slow-pyrolysis; correlation networks; generalized linear models; web-tool
Journal
Bioresource Technology: Volume 183
Status | Published |
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Funders | Teresa Heinz Foundation for Environmental Research and Project Unicorn |
Publication date | 31/05/2015 |
Publication date online | 18/02/2015 |
Date accepted by journal | 10/02/2015 |
URL | http://hdl.handle.net/1893/30516 |
Publisher | Elsevier BV |
ISSN | 0960-8524 |
eISSN | 1873-2976 |
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Lecturer, Computing Science