Development and testing of surface-based and water-based-diffusion kinetic models for studying hydrolysis and biogas production from cow manure
Tools
Tools
Tools
Momoh, YOL and Saroj, DP (2016) Development and testing of surface-based and water-based-diffusion kinetic models for studying hydrolysis and biogas production from cow manure Renewable Energy, 86. pp. 1113-1122.
|
Text
Modelling the Kinetics of Hydrolysis 2-Devendra-upload.pdf Available under License : See the attached licence file. Download (477kB) | Preview |
|
|
Text (licence)
SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview |
Official URL: http://dx.doi.org/10.1016/j.renene.2015.09.036
Abstract
The hydrolytic step is usually considered the rate limiting step in the biological conversion of ligno-cellulose material into biofuels. Current optimization approach attempts to understand the mechanism of hydrolysis in order to boost production. In this study, the development and testing of a surface-based and a water-based-diffusion kinetic model for modeling biogas production from cow manure was conducted using total solid (TS) loading ranging from 8 to 10% (TS) in batch reactors. Parameter estimation using solver function of the Microsoft Excel Tool Pak revealed that, the second order water diffusion model was superior in predicting biogas production with correlation coefficients ranging from 0.9977 to 0.9995. In addition, the initial surface permeability flux of water (Kspf0) into the organic biomass and fragmentation of particles were observed to be independent events elicited by the action C1 and Cx factors respectively. The initial surface permeability flux of water was observed to increase as solids concentration increased from 8 to 9%TS while, fragmentation constants decreased. Maximum initial surface permeability flux of water (1.78E-05 m3/m2/day) was observed at 9% (TS) with a simultaneous minimization in the fragmentation rate (0.13/day). For optimal production of biofuels, appropriate quantity of C1-factor, the degree of crystallinity and particle size may be critical for efficient conversion.
| Item Type: | Article | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Divisions : | Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering | |||||||||
| Authors : |
|
|||||||||
| Date : | 1 February 2016 | |||||||||
| DOI : | 10.1016/j.renene.2015.09.036 | |||||||||
| Additional Information : | © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||||||
| Depositing User : | Symplectic Elements | |||||||||
| Date Deposited : | 14 Oct 2015 15:18 | |||||||||
| Last Modified : | 01 Feb 2017 02:08 | |||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/808871 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year