Kabir Suara

Dr. Kabir Suara

Science and Engineering Faculty, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Brisbane, Australia
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 November 2017 in Energy Conversion and Management
Verified
Journal Article
Open access
FHFarhad M. Hossain
Farhad M. Hossain
NNNurun Nabi
Nurun Nabi
TRThomas J. Rainey
Thomas J. Rainey
Timothy BodiscoTimothy Bodisco
Timothy Bodisco
Md Mostafizur RahmanMd Mostafizur Rahman
Md Mostafizur Rahman
RBRichard J. Brown
Richard J. Brown
This paper builds on previous work using surrogate fuel to investigate advanced internal combustion engine fuels. To date, a surrogate fuel of this nature has not been used for microalgae hydrothermal liquefaction (HTL) biocrude. This research used five different chemical groups found in microalgae HTL biocrude to design a surrogate fuel. Those five chemical groups constitute around 65% (by weight) of a microalgae biocrude produced by HTL. Weight percentage of the microalgae HTL biocrude chemical compounds were used to design the surrogate fuel, which was miscible with diesel at all percentages. The engine experiments were conducted on a EURO IIIA turbocharged common-rail direct-injection six-cylinder diesel engine to test engine performance and emissions. Exhaust emissions, including particulate matter and other gaseous emissions, were measured with the surrogate fuel and a reference diesel fuel. Experimental results showed that without significantly deteriorating engine performance, lower particulate mass, particulate number and CO emissions were observed with a penalty in NOx emissions for all surrogate blends compared to those of the reference diesel

1 June 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
KSKabir Suara
Kabir Suara
MKMohammadreza Khanarmuei
Mohammadreza Khanarmuei
AGAnusmriti Ghosh
Anusmriti Ghosh
YYYingying Yu
Yingying Yu
HZHe Zhang
He Zhang
RBRichard J. Brown
Richard J. Brown

22 May 2019 in Energies
Verified
Journal Article
Open access
PDF file
FHFarhad M. Hossain
Farhad M. Hossain
MNMd. Nurun Nabi
Md. Nurun Nabi
Md Mostafizur RahmanMd Mostafizur Rahman
Md Mostafizur Rahman
SBSaiful Bari
Saiful Bari
TVThuy Chu Van
Thuy Chu Van
RBRichard J. Brown
Richard J. Brown
Physico-chemical properties of microalgae biodiesel depend on the microalgae species and oil extraction method. Dioctyl phthalate (DOP) is a clear, colourless and viscous liquid as a plasticizer. It is used in the processing of polyvinyl chloride (PVC) resin and polymers. A new potential biofuel, hydrothermally liquefied microalgae bio-oil can contain nearly 11% (by mass) of DOP. This study investigated the feasibility of using up to 20% DOP blended in 80% diesel fuel (v/v) in an existing diesel engine, and assessed the performance and exhaust emissions. Despite reasonable differences in density, viscosity, surface tension, and boiling point, blends of DOP and diesel fuel were found to be entirely miscible and no separation was observed at any stage during prolonged miscibility tests. The engine test study found a slight decrease in peak cylinder pressure, brake, and indicated mean effective pressure, indicated power, brake power, and indicated and brake thermal efficiency with DOP blended fuels, where the specific fuel consumption increased. This is due to the presence of 16.4% oxygen in neat DOP, responsible for the relatively lower heating value, compared to that of diesel. The emission tests revealed a slight increase in nitrogen oxides (NOx) and carbon monoxide (CO) emissions from DOP blended fuels. However, particulate matter (PM) emissions were lower from DOP blended fuels, although some inconsistency in particle number (PN) was present among different engine loads.

1 December 2019 in Environmental Pollution
Verified
Journal Article
Closed access
TVThuy Chu Van
Thuy Chu Van
AZAli Zare
Ali Zare
MJMohammad Jafari
Mohammad Jafari
TBTimothy A. Bodisco
Timothy A. Bodisco
NSNicholas C. Surawski
Nicholas C. Surawski
RBRichard J. Brown
Richard J. Brown

20 February 2020 in Water
Verified
Journal Article
Open access
PDF file
NMNeda Mardani
Neda Mardani
KSKabir Suara
Kabir Suara
HFHelen Fairweather
Helen Fairweather
RBRichard Brown
Richard Brown
AMAdrian McCallum
Adrian McCallum
Roy SidleRoy Sidle
Roy Sidle
While significant studies have been conducted in Intermittently Closed and Open Lakes and Lagoons (ICOLLs), very few have employed Lagrangian drifters. With recent attention on the use of GPS-tracked Lagrangian drifters to study the hydrodynamics of estuaries, there is a need to assess the potential for calibrating models using Lagrangian drifter data. Here, we calibrated and validated a hydrodynamic model in Currimundi Lake, Australia using both Eulerian and Lagrangian velocity field measurements in an open entrance condition. The results showed that there was a higher level of correlation (R2 = 0.94) between model output and observed velocity data for the Eulerian calibration compared to that of Lagrangian calibration (R2 = 0.56). This lack of correlation between model and Lagrangian data is a result of apparent difficulties in the use of Lagrangian data in Eulerian (fixed-mesh) hydrodynamic models. Furthermore, Eulerian and Lagrangian devices systematically observe different spatio-temporal scales in the flow with larger variability in the Lagrangian data. Despite these, the results show that Lagrangian calibration resulted in optimum Manning coefficients (n = 0.023) equivalent to those observed through Eulerian calibration. Therefore, Lagrangian data has the potential to be used in hydrodynamic model calibration in such aquatic systems.

1 December 2018 in Environmental Pollution
Verified
Journal Article
Closed access
TVThuy Chu Van
Thuy Chu Van
ZRZoran Ristovski
Zoran Ristovski
NSNicholas C. Surawski
Nicholas C. Surawski
Timothy BodiscoTimothy Bodisco
Timothy Bodisco
S M RahmanS M Rahman
S M Rahman
RBRichard J. Brown
Richard J. Brown