Reverse engineering of biochar

Veronica L. Morales*, Francisco J. Perez-Reche, Simona M. Hapca, Kelly L. Hanley, Johannes Lehmann, Wei Zhang

*Corresponding author for this work

Research output: Contribution to journalArticle

17 Citations (Scopus)
21 Downloads (Pure)

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. (C) 2015 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)163-174
Number of pages12
JournalBioresource Technology
Volume183
Early online date18 Feb 2015
DOIs
Publication statusPublished - May 2015

Keywords

  • physico-chemical properties
  • slow-pyrolysis
  • correlation networks
  • generalized linear models
  • web-tool
  • contaminated soils
  • organic-compounds
  • black carbon
  • charcoal
  • manure
  • temperature
  • remediation
  • mechanisms
  • adsorption
  • fertilizer

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