title: Investigating the role of feedstock properties and process conditions on products formed during the hydrothermal carbonization of organics using regression techniques.
abstract: The purpose of this study is to develop regression models that describe the role of process conditions and feedstock chemical properties on carbonization product characteristics. Experimental data were collected and compiled from literature-reported carbonization studies and subsequently analyzed using two statistical approaches: multiple linear regression and regression trees. Results from these analyses indicate that both the multiple linear regression and regression tree models fit the product characteristics data well. The regression tree models provide valuable insight into parameter relationships. Relative weight analyses indicate that process conditions are more influential to the solid yields and liquid and gas-phase carbon contents, while feedstock properties are more influential on the hydrochar carbon content, energy content, and the normalized carbon content of the solid.
authors: Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, USA.
authors: Liang
authors: L
authors: Li
authors: Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, USA.
authors: Joseph R V
authors: JRV
authors: Flora
authors: Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, USA.
authors: Juan M
authors: JM
authors: Caicedo
authors: Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, USA. Electronic address: berge@cec.sc.edu.
authors: Nicole D
authors: ND
authors: Berge
mesh_terms: D001688:Biological Products / Q000737:chemistry*; D002244:Carbon / Q000737:chemistry*; D003198:Computer Simulation; D006361:Heating / Q000379:methods*; D015233:Models, Statistical; D009930:Organic Chemicals / Q000737:chemistry*; D012044:Regression Analysis; D014867:Water / Q000737:chemistry*
chemical_list: D001688:Biological Products; D009930:Organic Chemicals; D014867:Water; D002244:Carbon
keywords: Feedstock properties; Hydrochar; Linear regression; Process conditions; Regression tree