THEME: "The Role of New Technologies in the Fields of Catalysis and Chemical Science"
University College London, UK
Title: Catalytic combustion in reverse flow reactor with integrated adsorption
Javier Fernández obtained his bachelor degree in Chemical Engineering in 2007 and his masters degree in Environmental and Processes Engineering in 2010 from the University of Oviedo, Spain, while he worked in research activities for different companies such as Saint-Gobain, Biogas Fuel Cell and XSTRATA. In 2011 he started his PhD in Chemical Engineering, working in the LOWCARB ERC Project. He received the Cum Laude award in 2014 and then he moved to the Warwick Manufacturing Group, where he worked as a research fellow. He also worked in a spin-out company (Stoli Catalysts Ltd) for a year. In 2017, he was appointed as Assistant Professor in Chemical Engineering and finally as lecturer in Chemical Engineering in 2020 at University College London.
1.
Short Description of what will be discussed
during the presentation
High flow rate methane-containing
emissions (0.1-0.6 %) are released during coal mine operation (ventilation
gases). In the last years, the concern about these emissions has increased;
since methane is an important greenhouse effect gas (its global warming
potential is 23 times higher than the one for CO2). Hence, its
contribution to the environmental impact in the coal mining has been determined
taking into account the carbon and ecological footprints.
Considering the emission
flow rates and methane concentration, catalytic combustion could be an
interesting alternative for the treatment of these emissions. Therefore, the
use of a regenerative system integrated in the reactor (reverse flow reactor, RFR), which is based on the use of
regenerative beds for heating the feed and in the change of flow direction,
leads to a high energetic efficiency and to autothermal operation (the heat
from the reaction is used to heat the feed stream, without needing external
energy).
The RFR
operation has been experimentally studied by using a pilot scale reactor (0.05
m diameter and 0.4 m bed length). Taking into account that the ventilation air
has no sulphur compounds, the most suitable catalyst for methane combustion is
palladium. Therefore, a monolithic catalyst (Pd/Cordierite) has been chosen,
because this kind of beds has key advantages, such as a lower pressure drop,
but also some drawbacks, as a reduction in the reactor stability.
Firstly, the intrinsic
kinetics for the methane combustion has been determined, first-order dependence
on methane concentration providing the best fitting to the experimental data.
Then, considering that several coal mines present high CO2
concentrations (up to 2.5 %), its possible effect on the kinetics has been
analyzed, determining that this effect is negligible. On the other hand, mine
ventilation systems present high moisture contents (water molar fraction
between 0.02 and 0.05), water being considered a strong inhibitor in catalytic
combustion. This behavior has been modeled considering a Langmuir-Hinshelwood
approach.
Concerning to the operation
with the reverse flow reactor for the catalytic combustion of the coal mining
ventilation air, firstly the influence on the reactor performance of the
switching time (50 – 600 s), the initial methane concentration (1000 – 6000
ppm) and the flow rate (15 – 30 NL/min) was studied, concluding that switching
time and initial methane concentration are key the parameters in order to avoid
the extinction of the reactor.
The moisture inhibition
effect has been also considered in the operation of the reverse flow reactor.
Therefore, it was observed that it has an important influence on the reactor
stability, given that an increase in the methane initial concentration was
needed in order to keep reactor stability at a given switching time in presence
of H2O. In order to overcome this problem, a new approach is taken
in this PhD, consisting of adding an adsorbent bed at both ends of the
catalytic zone. An appropriate selection of the adsorbent (g-Al2O3)
leads to a totally compensation of the effect of the moisture in the reactor
performance.
The information from the experiments allows the validation of a dynamic one-dimensional heterogeneous model for the RFR, which was solved using a MATLAB code. Using the experimentally validated model, and considering a typical coal shaft of the Asturian basin (Candín) with a flow rate of 45 m3/s and a methane concentration of 3000 ppm, the influence of the humidity, concentration and flow rate variations in the performance of a full-scale reverse flow reactor was analyzed.
2.
What will the audience take away from your presentation? (Try to list 3-5 specific items)