Siddharth obtained his PhD in Chemical Engineering from the Indian Institute of Technology Bombay and Monash University Australia (Joint collaboration project under IITB-Monash Research Academy) in 2013, where he worked on several projects to understand the relationships between the flow behaviors of slender electrified viscoelastic jets and key physical properties & operating parameters using mathematical models. Siddharth then worked in COMSOL Multiphysics until 2014. In 2015 he moved to Cranfield University where he worked on modeling microwave-assisted pyrolysis, refining and decomposition of biomass. In 2016 he joined Surrey as a Research Fellow and worked development of mathematical models for plasma-catalysis for a novel gas cleaning process based on low temperature plasma/catalytic technology to produce a clean, high quality syngas from the gasification of waste biomass (EP/M013162/1). He is currently working on numerical and experimental investigation of bioelectrochemical systems on a NERC UKRI funded project (NE/R013306/1).
Areas of specialism
Affiliations and memberships
Postdoctoral opportunities are currently available to work on bioelectrochemical systems. Those interested in postdoctoral research are encouraged to inquire about possible opportunities, national or international postdoctoral fellowships (Newton, Commonwealth, etc.). If your research interests match with the current work in our Lab we can host you at Surrey for any fellowship applications.
- Bioelectrochemical systems: Microbial Fuel cell, Microbial Electrolysis cell, Microbial Electrosynthesis
- Thermo-chemical and bio-chemical technological routes for converting biomass/wastewater to energy and fuels.
Harbin Institute of Technology, China
University of Liverpool
The Indian Institute of Chemical Technology, Hyderabad
Equipment Design (Part of Design Project)
Postgraduate research supervision
Junbin Huang: Development of efficient microbial electrosynthesis systems (Sponsored by NVH)
fluid model is developed for a partially
packed dielectric barrier discharge (DBD) in pure helium. In
fluence of packing on
the discharge characteristics is studied by comparing the results of DBD with partial
packing with those obtained for DBD with no packing. In the axial partial packing
configuration studied in this work, the electric field strength was shown to be en
hanced at the top surface of the spherical packing material and at the contact points
between the packing and the dielectric layer. For each value of applied potential,
DBD with partial packing showed an increase in the number of pulses in the current
profile in the positive half cycle of the applied voltage, as compared to DBD with
no packing. Addition of partial packing to the plasma-alone DBD also led to an
increase in the electron and ion number densities at the moment of breakdown. The
time averaged electron energy profiles showed that a much higher range of electron
energy can be achieved with the use of partial packing as compared to no packing
in a DBD, at the same applied power. The spatially and time averaged values over
one voltage cycle also showed an increase in power density and electron energy on
inclusion of partial packing in the DBD. For the applied voltage parameters studied
in this work, the discharge was found to be consistently homogeneous and showed
the characteristics of atmospheric pressure glow discharge.
systems: A comprehensive review of mathematical
models, Chemical Engineering Journal 343 pp. 303-316 Elsevier
bioelectrochemical systems. A number of modeling approaches starting
with the simple description of biological and electrochemical processes in
terms of ordinary differential equations to very detailed 2D and 3D models
that study the spatial distribution of substrates and biomass, have been
developed to study BES performance. Additionally, mathematical models
focused on studying a particular process such as ion diffusion through membrane
and new modeling approaches such as artifcial intelligence methods,
cellular network models, etc., have also been described. While most mathematical
models are still focused on performance studies and optimization of
microbial fuel cells, new models to study other BESs such as microbial electrolysis
cell, microbial electrosynthesis and microbial desalination cell have
also been reported and discussed in this review.
dielectric barrier discharge reactors - a numerical investigation, Physics of Plasmas 25 (6) 063513 AIP Publishing
fluid model is developed for studying the influence of
packing configurations on dielectric barrier discharge (DBD) characteristics. Dis-
charge current profiles, and time averaged electric field strength, electron number
density and electron temperature distributions are compared for the three DBD configurations, plain DBD with no packing, partially packed DBD and fully packed DBD.
The results show a strong change in discharge behaviour occurs when a DBD is fully
packed as compared to partial packing or no packing. While the average electric
field strength and electron temperature of a fully packed DBD are higher relative
to the other DBD configurations, the average electron density is substantially lower
and may impede the DBD reactor performance under certain operating conditions.
Possible scenarios of the synergistic effect of the combination of plasma with catalysis
are also discussed.
electrosynthesis (MES) system. The analysis is based on redox mediators and a two population
model, describing bioelectrochemical kinetics at both anode and cathode. Mass transfer rates
of substrate and bacteria in the two chambers are combined with the kinetics and Ohm?s law to
derive an expression for the cell current density. Effect of operational parameters such as initial
substrate concentration at anode & cathode and the operation cycle time, on MES performance
are evaluated in terms of product formation rate, substrate consumption and Coulombic efficiency
(CE). For fixed operation cycle time of 3 or 4 days, the anode and cathode initial substrate concentrations
show linear relationship with product formation rate; however MES operation with 2
day cycle time shows a more complex behaviour, with acetic acid production rates reaching a
plateau and even a slight decrease at higher concentrations of the two substrates. It is also
shown that there is a trade-off between product formation rate and substrate consumption & CE.
MES performance for operation with cycle time being controlled by substrate consumption is also
described. Results from the analysis demonstrate the interdependence of the system parameters
and highlight the importance of multi-objective system optimization based on targeted end-use.
chamber microbial fuel cell (MFC), consisting of a bio-catalyzed anode and
an air-cathode. Electron transfer from the biomass to the anode is assumed
to take place via intracellular mediators as they undergo transformation between
reduced and oxidized forms. A two-population model is used to describe
the biofilm at the anode and the MFC current is calculated based on
charge transfer and Ohm's law, while assuming a non-limiting cathode reaction
rate. The open circuit voltage and the internal resistance of the cell are
expressed as a function of substrate concentration. The effect of operating
parameters such as the initial substrate (COD) concentration and external
resistance, on the Coulombic efficiency, COD removal rate and power density
of the MFC system is studied. Even with the simple formulation, model
predictions were found to be in agreement with observed trends in experimental studies. This model can be used as a convenient tool for performing
detailed parametric analysis of a range of parameters and assist in process
3-5 times market value than bioethanol. Protein, sugar based chemical and inorganics give the highest to the lowest climate change impact savings of 12, 3 and 1 kg CO2 equivalent kg-1 product. Their cost of production is estimated at $2010 t-1, significantly lower than their market prices, making the integrated marine biorefinery system economically more attractive than lignocellulosic terrestrial biorefinery systems. Social life cycle assessment indicates that the highest to the lowest avoided social impacts will be from the displacements of animal based protein, sugars and minerals, in Indonesia, China and Philippines (producing 27 million tonnes per annum, 93% of global production), respectively.
Full List of Publications at: https://scholar.google.co.uk/citations?user=RsDJDcUAAAAJ&hl=en&oi=ao