期刊
BIORESOURCE TECHNOLOGY
卷 183, 期 -, 页码 163-174出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2015.02.043
关键词
Physico-chemical properties; Slow-pyrolysis; Correlation networks; Generalized Linear Models; Web-tool
资金
- Teresa Heinz Foundation for Environmental Research
- Project Unicorn
- Marie Curie International Incoming Fellowships
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.
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