Thermal processing of miscanthus, sugarcane bagasse, sugarcane trash and their acid hydrolysis residues

The research presented in this thesis was developed as part of DIBANET, an EC funded project aiming to develop an energetically self-sustainable process for the production of diesel miscible biofuels (i.e. ethyl levulinate) via acid hydrolysis of selected biomass feedstocks. Three thermal conversion technologies, pyrolysis, gasification and combustion, were evaluated in the present work with the aim of recovering the energy stored in the acid hydrolysis solid residue (AHR). Mainly consisting of lignin and humins, the AHR can contain up to 80% of the energy in the original feedstock. Pyrolysis of AHR proved unsatisfactory, so attention focussed on gasification and combustion with the aim of producing heat and/or power to supply the energy demanded by the ethyl levulinate production process. A thermal processing rig consisting on a Laminar Entrained Flow Reactor (LEFR) equipped with solid and liquid collection and online gas analysis systems was designed and built to explore pyrolysis, gasification and air-blown combustion of AHR. Maximum liquid yield for pyrolysis of AHR was 30wt% with volatile conversion of 80%. Gas yield for AHR gasification was 78wt%, with 8wt% tar yields and conversion of volatiles close to 100%. 90wt% of the AHR was transformed into gas by combustion, with volatile conversions above 90%. 5volO2%-95vol%N2 gasification resulted in a nitrogen diluted, low heating value gas (2MJ/m3). Steam and oxygen-blown gasification of AHR were additionally investigated in a batch gasifier at KTH in Sweden. Steam promoted the formation of hydrogen (25vol%) and methane (14vol%) improving the gas heating value to 10MJ/m3, below the typical for steam gasification due to equipment limitations. Arrhenius kinetic parameters were calculated using data collected with the LEFR to provide reaction rate information for process design and optimisation. Activation energy (EA) and pre-exponential factor (ko in s-1) for pyrolysis (EA=80kJ/mol, lnko=14), gasification (EA=69kJ/mol, lnko=13) and combustion (EA=42kJ/mol, lnko=8) were calculated after linearly fitting the data using the random pore model. Kinetic parameters for pyrolysis and combustion were also determined by dynamic thermogravimetric analysis (TGA), including studies of the original biomass feedstocks for comparison. Results obtained by differential and integral isoconversional methods for activation energy determination were compared. Activation energy calculated by the Vyazovkin method was 103-204kJ/mol for pyrolysis of untreated feedstocks and 185-387kJ/mol for AHRs. Combustion activation energy was 138-163kJ/mol for biomass and 119-158 for AHRs. The non-linear least squares method was used to determine reaction model and pre-exponential factor. Pyrolysis and combustion of biomass were best modelled by a combination of third order reaction and 3 dimensional diffusion models, while AHR decomposed following the third order reaction for pyrolysis and the 3 dimensional diffusion for combustion.

Thermochemical characterisation of agricultural wastes from West Africa

Thermochemical characterisation of agricultural biomass wastes from West African region has been carried out and their potential use as feedstock in thermochemical conversion processes determined. Proximate, ultimate, structural compositions, calorific values, thermogravimetry (TGA) and derivative thermogravimetry (DTG) analyses were carried out on corn straw and cobs, rice straw and husks, cocoa pod, jatropha curcas and moringa olifiera seed cakes, parinari polyandra fruit shell and sugarcane bagasse. Moringa olifiera seed cakes and cocoa pods were found to contain the highest moisture contents. Rice straw was found to contain a high ash content of 45.76. wt.%. The level of nitrogen and sulphur in all the samples were very low. Rice husk was found to have the highest lignin contents while corn cob low lignin contents indicate a potential feedstock source for quality bio-oil production using thermochemical process. © 2013.

In situ catalytic upgrading of bio-oil using supported molybdenum carbide

The aim of this work is to improve some of the less desirable properties of bio-oil via the catalytic fast pyrolysis of sugarcane bagasse using a novel supported molybdenum carbide (20 wt.% MoC/AlO ) catalyst. Proximate and elemental analysis of the bagasse were carried out to determine the moisture, ash, carbon, hydrogen, nitrogen and oxygen content. The ground pellets were classified in sieves to a size range of 0.25-1 mm and were pyrolysed in a 300 g h fluidised bed reactor at 500 C. MoC/AlO replaced the sand in the fluidised bed reactor in different proportions (0 wt.%, 12 wt.%, 25 wt.% and 50 wt.%) to investigate the effect of this catalyst on the pyrolysis products. Bio-oil yield results showed that ground sugarcane bagasse pellets gave high organic yields in the bio-oil of 60.5 wt.% on dry feed with a total liquid yield of 73.1 wt.% on dry feed without catalyst. Increasing the catalyst proportions in the fluidised bed reduced bio-oil yields, significantly reduced sugars (as a-levoglucosan) concentration and increased furanics and phenolics concentration in the bio-oil. It was observed that the higher the concentration of the 20 wt.% MoC/AlO catalyst in the fluidised bed the lower the viscosity of the bio-oil. © 2013 Elsevier B.V. All rights reserved.

An overview of Total Factor Productivity estimations adjusted for pollutant outputs:an application to sugarcane farming

The conventional Total Factor Productivity (TFP) measurement does not incorporate the effects of undesirable outputs, which are harmful to the environment. Using sugarcane farming in Kenya, this paper illustrates the differences between the conventional Malmquist index measures where the environment variable is not adjusted and environment-adjusted measures using both hyperbolic and directional distance functions. The mean TFP change estimates for the conventional Malmquist index, adjusted hyperbolic index and Luenberger indicator were 3.13%, 0.11% and 2.21%, respectively. The conventional non-adjusted measure lies between the two adjusted measures of hyperbolic index and Luenberger indicator. © 2012 Inderscience Enterprises Ltd.