1. Reverse engineering of biochar.
- Author
-
Morales VL, Pérez-Reche FJ, Hapca SM, Hanley KL, Lehmann J, and Zhang W
- Subjects
- Biomass, Confidence Intervals, Hydrogen-Ion Concentration, Internet, Linear Models, Charcoal chemistry, Engineering methods
- 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., (Copyright © 2015 Elsevier Ltd. All rights reserved.)
- Published
- 2015
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