Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30516
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dc.contributor.authorMorales, Verónica Len_UK
dc.contributor.authorPérez-Reche, Francisco Jen_UK
dc.contributor.authorHapca, Simona Men_UK
dc.contributor.authorHanley, Kelly Len_UK
dc.contributor.authorLehmann, Johannesen_UK
dc.contributor.authorZhang, Weien_UK
dc.date.accessioned2019-12-10T01:01:50Z-
dc.date.available2019-12-10T01:01:50Z-
dc.date.issued2015-05en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30516-
dc.description.abstractThis 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.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationMorales 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.2015.02.043en_UK
dc.rightsAccepted 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/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectphysico-chemical propertiesen_UK
dc.subjectslow-pyrolysisen_UK
dc.subjectcorrelation networksen_UK
dc.subjectgeneralized linear modelsen_UK
dc.subjectweb-toolen_UK
dc.titleReverse engineering of biocharen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.biortech.2015.02.043en_UK
dc.identifier.pmid25731925en_UK
dc.citation.jtitleBioresource Technologyen_UK
dc.citation.issn1873-2976en_UK
dc.citation.issn0960-8524en_UK
dc.citation.volume183en_UK
dc.citation.spage163en_UK
dc.citation.epage174en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderTeresa Heinz Foundation for Environmental Research and Project Unicornen_UK
dc.author.emailsimona.hapca@stir.ac.uken_UK
dc.citation.date18/02/2015en_UK
dc.contributor.affiliationUniversity of Abertayen_UK
dc.contributor.affiliationUniversity of Aberdeenen_UK
dc.contributor.affiliationUniversity of Abertayen_UK
dc.contributor.affiliationCornell Universityen_UK
dc.contributor.affiliationCornell Universityen_UK
dc.contributor.affiliationMichigan State Universityen_UK
dc.identifier.isiWOS:000351102700021en_UK
dc.identifier.scopusid2-s2.0-84923362464en_UK
dc.identifier.wtid1451970en_UK
dc.contributor.orcid0000-0003-3148-9657en_UK
dc.date.accepted2015-02-10en_UK
dc.description.refREF Compliant by Deposit in Stirling's Repositoryen_UK
dc.date.filedepositdate2019-12-06en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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