Please use this identifier to cite or link to this item:
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:
Keywords: physico-chemical properties
correlation networks
generalized linear models
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.
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: © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL(s):

Files in This Item:
File Description SizeFormat 
Morales2015BioresTechnol.pdfFulltext - Accepted Version4.67 MBAdobe PDFView/Open

This item is protected by original copyright

A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.