Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30516
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Reverse engineering of biochar
Author(s): Morales, Verónica L
Pérez-Reche, Francisco J
Hapca, Simona M
Hanley, Kelly L
Lehmann, Johannes
Zhang, Wei
Contact Email: simona.hapca@stir.ac.uk
Keywords: physico-chemical properties
slow-pyrolysis
correlation networks
generalized linear models
web-tool
Issue Date: May-2015
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.
DOI Link: 10.1016/j.biortech.2015.02.043
Rights: Accepted refereed manuscript of: Morales VL, Pérez-Reche FJ, Hapca SM, Hanley KL, Lehmann J & Zhang W (2015) Reverse engineering of biochar. Bioresource Technology, 183, pp. 163-174. DOI: https://doi.org/10.1016/j.biortech.2015.02.043 © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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