Novel kinetic studies on biomass hydrothermal carbonization

Abstract

This work aims to study kinetic data on biomass hydrothermal carbonization by a new point of view. The time course of essential properties signaling hydrochar evolution is found to be sigmoidal ubiquitously. The logistic curve here proposed, attributable to the Hill equation, furnished near-perfect regressions (R² as high as 0.999) in all cases studied. The broad applicability and the excellent correlations stimulated the research heuristically and routed process optimization. The evidence is reported that the success of fittings bases on profound mechanistic reasons. Arguments are discussed supporting the hypothesis that hydrochar formation is a stochastic phenomenon. The method deduces the Hill equation by applying statistical methods to the hydrothermal carbonization, modeled as a discrete Markov-chain process. The role of the model equation parameters is also discussed. The potentiality of the method proposed in this pioneering work could pave the way for a new paradigm in the modeling of hydrothermal carbonization.

Keywords: Curve fitting; Discrete Markov-chain; Hydrothermal carbonization; Kinetic modeling; Parameter determination; Stochastic process.