Sharifzadeh, M;
Richard, CJ;
Shah, N;
(2017)
Modelling the kinetics of pyrolysis oil hydrothermal upgrading based on the connectivity of oxygen atoms, quantified by P-31-NMR.
Biomass and Bioenergy
, 98
pp. 272-290.
10.1016/j.biombioe.2017.01.022.
Preview |
Text
Sharifzadeh_modelling the kinetics of pyrolysis_P-NMR_.pdf - Accepted Version Download (1MB) | Preview |
Abstract
In the light of current environmental concerns, pyrolysis of biomass offers a carbon neutral pathway to cheap renewable fuels known collectively as pyrolysis oil (PO). However, crude PO is not immediately usable in the current energy infrastructure and needs to be deoxygenated via upgrading technologies. Upgrading reactions are invariably complex since the chemical components in PO can run into hundreds. Moreover, these components are often very difficult to characterise, posing difficulties towards tracking their chemical reactivity and the overall kinetics as a function of time. To address this problem, the aim of this work is to present a modelling strategy to help researchers predict the kinetics of PO deoxygenation in hot compressed water, under hydrothermal conditions, near to or at the supercritical region. To do this, a trial reaction network superstructure with the maximum degrees of freedom was formulated and evaluated for the deoxygenation of three different Oils. This superstructure was based on the connectivity of an oxygen atom matrix which was quantified based on hydroxy groups by quantitative 31P{H} NMR. The complexity of the large-scale superstructure was subsequently simplified by trimming insignificant arcs; subject to an empirical understanding of the underlying chemistry. By parameter estimations, reaction networks were validated or rejected, depending on whether the computationally simulated data for a given reaction network fits the experimental results. It is anticipated that the development of the disclosed “proof of concept” models could promote the chemical understanding and hence optimization of hydrothermal upgrading technologies.
| Type: | Article |
|---|---|
| Title: | Modelling the kinetics of pyrolysis oil hydrothermal upgrading based on the connectivity of oxygen atoms, quantified by P-31-NMR |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.biombioe.2017.01.022 |
| Publisher version: | https://doi.org/10.1016/j.biombioe.2017.01.022 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Technology, Agricultural Engineering, Biotechnology & Applied Microbiology, Energy & Fuels, Agriculture, Phosphorus NMR, Pyrolysis oil, Hydrothermal upgrading, Kinetics, Genetic algorithm, NMR SPECTROSCOPIC ANALYSIS, AQUEOUS ORGANIC-CHEMISTRY, SUPERCRITICAL WATER, QUANTITATIVE P-31, BIOFUEL PRODUCTION, HIGH-TEMPERATURE, LABILE HYDROGEN, BIO-OILS, BIOMASS, LIQUEFACTION |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10024259 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
