ORCID Profile
0000-0002-7772-4862
Current Organisation
Queensland University of Technology
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Navigation and Position Fixing | Environmental Engineering Modelling | Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) | Turbulent Flows | Mechanical Engineering | Water And Sanitary Engineering | Interdisciplinary Engineering | Systems engineering | Engineering practice and education | Environmentally sustainable engineering | Colloid And Surface Chemistry | Automotive Engineering | Fluidization And Fluid Mechanics | Turbulent Flows | Physical Chemistry (Incl. Structural) | Environmental Engineering | Mechanical Engineering not elsewhere classified | Building science technologies and systems | Environmental Engineering Modelling | Atmospheric Aerosols | Environmental Engineering not elsewhere classified | Combustion And Fuel Engineering | Tribology | Transportation Not Elsewhere Classified | Mechanical Engineering |
Urban and Industrial Air Quality | Land and water management | Environmental and Natural Resource Evaluation not elsewhere classified | Expanding Knowledge in Engineering | Coastal and Estuarine Water Management | Energy Transformation not elsewhere classified | Conservation and efficiency | Land and water management | Automotive equipment | Land and water management | Land and water management | Expanding Knowledge in the Physical Sciences | Waste management and recycling | Environmentally Sustainable Transport not elsewhere classified
Publisher: MDPI AG
Date: 31-05-2020
DOI: 10.3390/APP10113839
Abstract: Presented in this paper is an in-depth analysis of the impact of engine start during various stages of engine warm up (cold, intermediate, and hot start stages) on the performance and emissions of a heavy-duty diesel engine. The experiments were performed at constant engine speeds of 1500 and 2000 rpm on a custom designed drive cycle. The intermediate start stage was found to be longer than the cold start stage. The oil warm up lagged the coolant warm up by approximately 10 °C. During the cold start stage, as the coolant temperature increased from ~25 to 60 °C, the brake specific fuel consumption (BSFC) decreased by approximately 2% to 10%. In the intermediate start stage, as the coolant temperature reached 70 °C and the injection retarded, the indicated mean effective pressure (IMEP) and the brake mean effective pressure (BMEP) decreased by approximately 2% to 3%, while the friction mean effective pressure (FMEP) decreased by approximately 60%. In this stage, the NOx emissions decreased by approximately 25% to 45%, while the HC emissions increased by approximately 12% to 18%. The normalised FMEP showed that higher energy losses at lower loads were most likely contributing to the heating of the lubricating oil.
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 11-2012
Publisher: Elsevier BV
Date: 11-2019
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2008
Publisher: Elsevier BV
Date: 07-2020
Publisher: American Chemical Society (ACS)
Date: 10-11-2016
Publisher: MDPI AG
Date: 20-11-2021
DOI: 10.3390/APP112211006
Abstract: Numerical models are associated with uncertainties that can be reduced through data assimilation (DA). Lower costs have driven a recent tendency to use Lagrangian instruments such as drifters and floats to obtain information about water bodies. However, difficulties emerge in their assimilation, since Lagrangian data are set out in a moving frame of reference and are not compatible with the fixed grid locations used in models to predict flow variables. We applied a pseudo-Lagrangian approach using OpenDA, an open-source DA tool to assimilate Lagrangian drifter data into an estuarine hydrodynamic model. Despite inherent challenges with using drifter datasets, the work showed that low-cost, low-resolution drifters can provide a relatively higher improvement over the Eulerian dataset due to the larger area coverage of the drifter. We showed that the assimilation of Lagrangian data obtained from GPS-tracked drifters in a tidal channel for a few hours can significantly improve modelled velocity fields (up to 30% herein). A 40% improvement in residual current direction was obtained when assimilating both Lagrangian and Eulerian data. We conclude that the best results are achieved when both Lagrangian and Eulerian datasets are assimilated into the hydrodynamic model.
Publisher: Elsevier BV
Date: 09-2008
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 03-2015
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 03-2004
Publisher: Elsevier BV
Date: 05-2015
Publisher: Elsevier BV
Date: 11-2015
Publisher: MDPI AG
Date: 29-07-2013
DOI: 10.3390/EN6083764
Publisher: Elsevier BV
Date: 10-2019
Publisher: MDPI AG
Date: 07-08-2019
DOI: 10.3390/CELLS8080851
Abstract: Microalgae are swift replicating photosynthetic microorganisms with several applications for food, chemicals, medicine and fuel. Microalgae have been identified to be suitable for biofuels production, due to their high lipid contents. Microalgae-based biofuels have the potential to meet the increasing energy demands and reduce greenhouse gas (GHG) emissions. However, the present state of technology does not economically support sustainable large-scale production. The biofuel production process comprises the upstream and downstream processing phases, with several uncertainties involved. This review examines the various production and processing stages, and considers the use of chemometric methods in identifying and understanding relationships from measured study parameters via statistical methods, across microalgae production stages. This approach enables collection of relevant information for system performance assessment. The principal benefit of such analysis is the identification of the key contributing factors, useful for decision makers to improve system design, operation and process economics. Chemometrics proffers options for time saving in data analysis, as well as efficient process optimization, which could be relevant for the continuous growth of the microalgae industry.
Publisher: American Meteorological Society
Date: 03-2015
DOI: 10.1175/JTECH-D-14-00127.1
Abstract: The use of Global Navigation Satellite System (GNSS)-tracked Lagrangian drifters allows more realistic quantification of fluid motion and dispersion coefficients than Eulerian techniques because such drifters are analogs of particles that are relevant to flow field characterization and pollutant dispersion. Using the fast-growing real-time kinematic (RTK) positioning technique derived from GNSS, drifters are developed for high-frequency (10 Hz) s ling with position estimates with centimeter accuracy. The drifters are designed with small size and less direct wind drag to follow the subsurface flow that characterizes dispersion in shallow waters. An analysis of position error from stationary observation indicates that the drifter can efficiently resolve motion up to 1 Hz. The result of the field deployments of the drifter in conjunction with acoustic Eulerian devices shows a higher estimate of the drifter streamwise velocities. Single particle statistical analysis of field deployments in a shallow estuarine zone yielded estimates of dispersion coefficients comparable to those of dye tracer studies. The drifters capture the tidal elevation during field studies in a tidal estuary.
Publisher: Royal Society of Chemistry (RSC)
Date: 2014
DOI: 10.1039/C4SM00526K
Abstract: SPH–DEM based microscale drying model can predict shrinkage and cell wall wrinkling of plant cells in tissues at different moisture contents and turgor pressures during drying (top row: full tissue view, bottom row: enlarged view).
Publisher: Elsevier BV
Date: 02-2012
Publisher: Springer Science and Business Media LLC
Date: 11-01-2012
Publisher: American Chemical Society (ACS)
Date: 25-01-2023
Publisher: MDPI AG
Date: 10-09-2018
DOI: 10.3390/GEOSCIENCES8090341
Abstract: The flooding of urbanized areas constitutes a major hazard to populations and infrastructure. Flood flows during urban inundations have been studied only recently and the real-life impact of fluid flows on in iduals is not well understood. The stability of in iduals in floodwaters is re-assessed based upon the re-analysis of detailed field measurements during a major flood event. The results emphasized that hydrodynamic instabilities, linked to local topographic effects and debris, constitute major real-world hazards. A comparison between a number of flow conditions deemed unsafe for in iduals, along with guidelines, suggests that many recommendations are over-optimistic and unsafe in real floodwaters and natural disasters. A series of more conservative guidelines is proposed, particularity relevant to flood events.
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 06-2022
Publisher: MDPI AG
Date: 22-05-2019
DOI: 10.3390/EN12101964
Abstract: 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.
Publisher: Elsevier BV
Date: 09-2018
Publisher: Informa UK Limited
Date: 24-11-2015
Publisher: Springer Nature Singapore
Date: 2022
Publisher: Elsevier BV
Date: 10-2016
Publisher: Springer Science and Business Media LLC
Date: 04-08-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/8C3EE36
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 05-2019
Publisher: TAPPI
Date: 06-2010
DOI: 10.32964/TJ9.5.7
Abstract: This study examined the effect of flocculants on the filtration parameters of bagasse pulp. In the first phase, flocculants were effective for improving the fiber retention of three different bagasse pulp slurries, based on flocculant system studies using a dynamic drainage jar. In the second phase, pulp pads were formed using these flocculants and the steady-state permeability and compressibility parameters were measured. The results showed that the flocculant system that was effective for a pulp slurry was entirely ineffective in improving pulp pad permeability or compressibility during the second experimental phase for two of the bagasse pulp s les.
Publisher: MDPI AG
Date: 24-03-2018
DOI: 10.3390/EN11040738
Publisher: Elsevier BV
Date: 03-2017
DOI: 10.1016/J.SCITOTENV.2016.12.098
Abstract: China has >400 ports, is home to 7 of 10 biggest ports in the world and its waterway infrastructure construction has been accelerating over the past years. But the increasing number of ports and ships means increasing emissions, and in turn, increasing impact on local and regional air pollution. This paper presents an overview of the broad field of ship emissions in China and their atmospheric impacts, including topics of ship engine emissions and control, ship emission factors and their measurements, developing of ship emission inventories, shipping and port emissions of the main shipping areas in China, and quantitative contribution of shipping emissions to the local and regional air pollution. There have been an increasing number of studies published on all the above aspects, yet, this review identified some critical research gaps, filling of which is necessary for better control of ship emissions, and for lowering their impacts. In particular, there are very few studies on inland ports and river ships, and there are few national scale ship emission inventories available for China. While advanced method to estimate ship emission based on ship AIS activities makes it now possible to develop high spatial- and temporal-resolution emission inventories, the ship emission factors used in Chinese studies have been based mainly on foreign measurements. Further, the contribution of ship emissions to air pollution in coastal cities, the dispersion of pollution plumes emitted by ships, or the chemical evolution process along the transmission path, have so far not been systematically studied in China.
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 12-2023
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 03-2021
Publisher: Elsevier BV
Date: 06-2018
DOI: 10.1016/J.ENVPOL.2017.11.008
Abstract: This study investigated particle and gaseous emission factors from a large cargo vessel for her whole voyage including at berth, manoeuvring and cruising. Quantification of these factors assists in minimising the uncertainty in the current methods of exhaust gas emission factor estimation. Engine performance and emissions from the main marine engine were measured on-board while the ship was manoeuvring and cruising at sea. Emissions of an auxiliary engine working at 55% of maximum continuous rating (MCR) were measured when the ship was at actual harbour stopovers. Gaseous and particle emission factors in this study are presented in g kWh
Publisher: Elsevier BV
Date: 12-2016
Publisher: Springer Science and Business Media LLC
Date: 14-11-2009
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/183B6CF
Publisher: Elsevier BV
Date: 04-2013
DOI: 10.1016/J.MARPOLBUL.2012.12.015
Abstract: This paper quantifies the mixing and dispersion from an outboard motor by field experiments in a small subtropical waterway. Organic dye was used as a surrogate for exhaust emissions and was mixed with uncontaminated creek water before being dispersed into the creek. Dye concentrations were measured with an array of concentration probes stationed in the creek. The data were then processed and fitted with a power law function. The corresponding dispersion constants agreed well with the literature. However, the litude was lower than the IMO equation but higher than the correlation from laboratory tests. Results for dye concentration intermittency (presence of dye) are presented for the first time from such field measurements and show significant mixing in-homogeneity.
Publisher: Springer Science and Business Media LLC
Date: 03-2007
DOI: 10.1007/BF03181801
Publisher: Springer Science and Business Media LLC
Date: 25-12-2013
Publisher: Elsevier BV
Date: 2004
Publisher: Springer Science and Business Media LLC
Date: 15-05-2011
Publisher: Springer Science and Business Media LLC
Date: 22-04-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Springer Singapore
Date: 02-11-2019
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 2020
Publisher: Springer Singapore
Date: 2021
Publisher: Informa UK Limited
Date: 25-02-2015
Publisher: Elsevier BV
Date: 04-2021
Publisher: Wiley
Date: 10-09-2015
DOI: 10.1002/BBB.1578
Publisher: Author(s)
Date: 2017
DOI: 10.1063/1.4984636
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 02-2003
Publisher: Springer Science and Business Media LLC
Date: 22-04-2019
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 09-2015
Publisher: ASMEDC
Date: 2011
Abstract: The hydrodynamic behaviour of a novel flat plate photocatalytic reactor for water treatment is investigated using CFD code FLUENT. The reactor consists of a reactive section that features negligible pressure drop and uniform illumination of the photocatalyst surface to ensure improved photocatalytic efficiency. The numerical simulations allowed the identification of several design issues in the original reactor, which include extensive boundary layer separation near the photocatalyst support and regions of flow recirculation that render a significant portion of the reactive area. The simulations reveal that this issue could be addressed by selecting the appropriate inlet positions and configurations. This modification can cause minimal pressure drop across the reactive zone and achieves significant uniformization of the tested pollutant on the photocatalyst surface. The influence of roughness elements types has also been studied with a view to identify their role on the distribution of pollutant concentration on the photocatalyst surface. The results presented here indicate that the flow and pollutant concentration field strongly depend on the geometric parameters and flow conditions of the reactor.
Publisher: Elsevier BV
Date: 06-2021
Publisher: Springer Science and Business Media LLC
Date: 29-03-2021
Publisher: American Chemical Society (ACS)
Date: 15-05-2019
Publisher: American Chemical Society (ACS)
Date: 08-02-2013
DOI: 10.1021/ES3035208
Abstract: Compression ignition (CI) engine design is subject to many constraints, which present a multicriteria optimization problem that the engine researcher must solve. In particular, the modern CI engine must not only be efficient but must also deliver low gaseous, particulate, and life cycle greenhouse gas emissions so that its impact on urban air quality, human health, and global warming is minimized. Consequently, this study undertakes a multicriteria analysis, which seeks to identify alternative fuels, injection technologies, and combustion strategies that could potentially satisfy these CI engine design constraints. Three data sets are analyzed with the Preference Ranking Organization Method for Enrichment Evaluations and Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) algorithm to explore the impact of (1) an ethanol fumigation system, (2) alternative fuels (20% biodiesel and synthetic diesel) and alternative injection technologies (mechanical direct injection and common rail injection), and (3) various biodiesel fuels made from 3 feedstocks (i.e., soy, tallow, and canola) tested at several blend percentages (20-100%) on the resulting emissions and efficiency profile of the various test engines. The results show that moderate ethanol substitutions (~20% by energy) at moderate load, high percentage soy blends (60-100%), and alternative fuels (biodiesel and synthetic diesel) provide an efficiency and emissions profile that yields the most "preferred" solutions to this multicriteria engine design problem. Further research is, however, required to reduce reactive oxygen species (ROS) emissions with alternative fuels and to deliver technologies that do not significantly reduce the median diameter of particle emissions.
Publisher: Elsevier BV
Date: 05-2021
Publisher: American Chemical Society (ACS)
Date: 08-05-2023
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 02-2017
Publisher: Elsevier BV
Date: 02-1998
Publisher: Elsevier BV
Date: 05-2004
Publisher: Springer Science and Business Media LLC
Date: 20-03-2009
Publisher: Springer Science and Business Media LLC
Date: 04-09-2010
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 09-2022
Publisher: No publisher found
Date: 2014
Publisher: Elsevier BV
Date: 11-2019
Publisher: Elsevier BV
Date: 07-2022
Publisher: Royal Institution of Naval Architects
Date: 12-2018
DOI: 10.3940/RINA.IJME.2018.A4.500
Abstract: The objective of this study is to develop a shipping emission inventory model incorporating Machine Learning (ML) tools to estimate gaseous emissions. The tools enhance the emission inventories which currently rely on emission factors. The current inventories apply varied methodologies to estimate emissions with mixed accuracy. Comprehensive Bottom-up approach have the potential to provide very accurate results but require quality input. ML models have proven to be an accurate method of predicting responses for a set of data, with emission inventories an area unexplored with ML algorithms. Five ML models were applied to the emission data with the best-fit model judged based on comparing the real mean square errors and the R-values of each model. The primary gases studied are from a vessel measurement c aign in three modes of operation berthing, manoeuvring, and cruising. The manoeuvring phase was identified as key for model selection for which two models performed best.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Springer Science and Business Media LLC
Date: 2019
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 2020
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 2023
Publisher: The International Association for Hydro-Environment Engineering and Research (IAHR)
Date: 09-2019
Publisher: Elsevier BV
Date: 12-2019
DOI: 10.1016/J.ENVPOL.2019.113260
Abstract: Emissions from ships at berth are small compared to the total ship emissions however, they are one of the main contributors to pollutants in the air of densely-populated areas, consequently heavily affecting public health. This is due to auxiliary marine engines being used to generate electric power and steam for heating and providing services. The present study has been conducted on an engine representative of a marine auxiliary, which was a heavy duty, six-cylinder, turbocharged and after-cooled engine with a high pressure common rail injection system. Engine performance and emission characterisations during cold start are the focus of this paper, since cold start is significantly influential. Three tested fuels were used, including the reference diesel and two IMO (International Maritime Organization) compliant spiked fuels. The research engine was operated at a constant speed and 25% load condition after 12 h cooled soak. Results show that during cold start, significant heat generated from combustion is used to heat the engine block, coolant and lubricant. During the first minute, compared to the second minute, emissions of particle number (PN), carbon monoxide (CO), particulate matter (PM), and nitrogen oxides (NO
Publisher: Elsevier BV
Date: 12-2014
Publisher: Informa UK Limited
Date: 04-07-2015
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 04-2021
Publisher: Informa UK Limited
Date: 12-02-2014
Publisher: IWA Publishing
Date: 06-2011
DOI: 10.2166/WRD.2011.010
Abstract: A new stormwater quality improvement device called ‘Green Gully’ has been designed and developed in this study with the aim of reusing stormwater for irrigating trees and other plants. The main purpose of the Green Gully is to collect road runoff/stormwater, make it suitable for irrigation and provide an automated network system for watering roadside plants and irrigational areas. This paper presents the design and development of Green Gully along with experimental and computational investigations of the performance of Green Gully. Performance (in the form of efficiency, i.e. the percentage of water flow through the gully grate) was experimentally determined using a gully model in the laboratory first, then a three-dimensional numerical model was developed and simulated to predict the efficiency of Green Gully as a function of flow rate. Computational fluid dynamics code FLUENT was used for the simulation. GAMBIT was used for geometry creation and mesh generation. Experimental and simulation results are discussed and compared in this paper. The predicted efficiency was compared with the laboratory measured efficiency. It was found that the simulated results are in good agreement with the experimental results.
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 11-2011
Publisher: The University of Queensland
Date: 2020
DOI: 10.14264/4FB97B3
Publisher: MDPI AG
Date: 29-10-2013
DOI: 10.3390/EN6115676
Publisher: Elsevier BV
Date: 08-2021
Publisher: MDPI AG
Date: 20-02-2020
DOI: 10.3390/W12020575
Abstract: 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.
Publisher: Elsevier BV
Date: 10-2010
Publisher: The International Association for Hydro-Environment Engineering and Research (IAHR)
Date: 09-2019
Publisher: Elsevier BV
Date: 06-2020
Publisher: MDPI AG
Date: 08-2020
DOI: 10.3390/EN13153931
Abstract: A comprehensive analysis of combustion behaviour during cold, intermediately cold, warm and hot start stages of a diesel engine are presented. Experiments were conducted at 1500 rpm and 2000 rpm, and the discretisation of engine warm up into stages was facilitated by designing a custom drive cycle. Advanced injection timing, observed during the cold start period, led to longer ignition delay, shorter combustion duration, higher peak pressure and a higher peak apparent heat release rate (AHRR). The peak pressure was ~30% and 20% and the AHRR was ~2 to 5% and ±1% higher at 1500 rpm and 2000 rpm, respectively, during cold start, compared to the intermediate cold start. A retarded injection strategy during the intermediate cold start phase led to shorter ignition delay, longer combustion duration, lower peak pressure and lower peak AHRR. At 2000 rpm, an exceptional combustion behaviour led to a ~27% reduction in the AHRR at 25% load. Longer ignition delays and shorter combustion durations at 25% load were observed during the intermediately cold, warm and hot start segments. The mass fraction burned (MFB) was calculated using a single zone combustion model to analyse combustion parameters such as crank angle (CA) at 50% MFB, AHRR@CA50 and CA duration for 10–90% MFB.
Publisher: Elsevier BV
Date: 04-2019
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/739522A
Publisher: Elsevier BV
Date: 03-2019
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 03-2016
DOI: 10.1016/J.SCITOTENV.2015.12.036
Abstract: Oxidative potential (OP) is related to the organic phase, specifically to its oxygenated organic fraction (OOA). Furthermore, the oxygen content of fuel molecules has significant influence on particulate OP. Thus, this study aimed to explore the actual dependency of the OOA and ROS to the oxygen content of the fuel. In order to reach the goal, different biodiesels blends, with various ranges of oxygen content have been employed. The compact time of flight aerosol mass spectrometer (c-ToF AMS) enabled better identification of OOA. ROS monitored by using two assays: DTT and BPEA-nit. Despite emitting lower mass, both assays agreed that oxygen content of a biodiesel is directly correlated with its OOA, and highly related to its OP. Hence, the more oxygen included in the considered biodiesels, the higher the OP of PM emissions. This highlights the importance of taking oxygen content into account while assessing emissions from new fuel types, which is relevant from a health effects standpoint.
Publisher: MDPI AG
Date: 23-05-2019
DOI: 10.3390/EN12101987
Abstract: Rising pollution levels resulting from vehicular emissions and the depletion of petroleum-based fuels have left mankind in pursuit of alternatives. There are stringent regulations around the world to control the particulate matter (PM) emissions from internal combustion engines. To this end, researchers have been exploring different measures to reduce PM emissions such as using modern combustion techniques, after-treatment systems such as diesel particulate filter (DPF) and gasoline particulate filter (GPF), and alternative fuels. Alternative fuels such as biodiesel (derived from edible, nonedible, and waste resources), alcohol fuels (ethanol, n-butanol, and n-pentanol), and fuel additives have been investigated over the last decade. PM characterization and toxicity analysis is still growing as researchers are developing methodologies to reduce particle emissions using various approaches such as fuel modification and after-treatment devices. To address these aspects, this review paper studies the PM characteristics, health issues, PM physical and chemical properties, and the effect of alternative fuels such as biodiesel, alcohol fuels, and oxygenated additives on PM emissions from diesel engines. In addition, the correlation between physical and chemical properties of alternate fuels and the characteristics of PM emissions is explored.
Publisher: Elsevier BV
Date: 2020
DOI: 10.1016/J.JBIOMECH.2019.109578
Abstract: The airways of the human respiratory system are covered by a protective layer, which is known as airway surface liquid (ASL). This layer consists of two relatively distinct sub-layers a mucus layer (ML), and a periciliary liquid layer (PCL). In addition, the airways are lined with a dense mat of hair-like structures, called cilia, which beat back and forth in a co-ordinated manner and mainly propel the mucus layer. Such interaction between the cilia and mucus is called 'muco-ciliary clearance' (MCC) which is essential to clear the respiratory airways from the inhaled toxic particles deposited on the mucus. The complex nature of lung clearance mechanisms limit the ability to conduct experiments to investigate micro-scale physiological phenomena. As such, modelling techniques are commonly implemented to investigate the effects of biological parameters on the lung muco-ciliary clearance. In the present work, modelling techniques of cilia-ASL interactions - including continuum cilia modelling and discrete cilia modelling - are reviewed and the numerical procedures and level of complexity related to each technique are explained. This is followed by a detailed analysis of the airway surface liquid modelling approaches. In addition, findings of numerical investigations related to the effects of various parameters such as ciliary beat frequency (CBF), mucus rheology, metachronal waves of cilia, surface tension at the PCL-mucus interface, ciliary length, ciliary density, and airway surface liquid depth on the bronchial and tracheal ASL transport are reviewed. This review also explains how these biological parameters can alter the internal power required to perform ciliary beating. Lastly, the main limitations of current numerical works are discussed and significant research directions are brought forward that may be considered in future models to better understand this complex human biological system and its vital clearance mechanism.
Publisher: Elsevier BV
Date: 08-2020
Publisher: SAE International
Date: 14-04-2020
DOI: 10.4271/2020-01-1350
Publisher: MDPI AG
Date: 26-09-2019
DOI: 10.3390/APP9194033
Abstract: Human pulmonary epithelial cells are protected by two layers of fluid—the outer watery periciliary liquid layer (PCL) and the uppermost non-Newtonian mucus layer (ML). Aerosols and inhaled toxic particles are trapped by the ML which must then be removed swiftly to avoid adverse health implications. Epithelial cells are covered with cilia that beat rapidly within the PCL. Such ciliary motion drives the mucus transport. Although cilia can penetrate slightly inside the mucus to assist mucus movement, the motion of the underlying PCL layer within the airway surface liquid (ASL) is significant in mucus and pathogens transport. As such, a detailed parametric study of the influence of different abnormal cilia characteristics, such as low beating frequency, short length, abnormal beating pattern, reduced ciliary density, and epithelium patchiness due to missing cilia on the PCL transport, is carried out numerically. Such abnormalities are found in various chronic respiratory diseases. In addition, the shear stress at the epithelium is assessed due to the importance of shear stress on the epithelial function. Using the immersed boundary (IB) method combined with the finite-difference projection method, we found that the PCL, under standard healthy conditions, has net forward motion but that different diseased conditions decrease the forward motion of the PCL, as is expected based on clinical understanding.
Publisher: ASMEDC
Date: 2011
Abstract: In this study a new immobilized flat plate photocatalytic reactor for wastewater treatment has been investigated using computational fluid dynamics (CFD). The reactor consists of a reactor inlet, a reactive section where the catalyst is coated, and outlet parts. For simulation, the reactive section of the reactor was modelled with an array of baffles. In order to optimize the fluid mixing and reactor design, this study attempts to investigate the influence of baffles with differing heights on the flow field of the flat plate reactor. The results obtained from the simulation of a baffled flat plate reactor hydrodynamics for differing baffle heights for certain positions are presented. Under the conditions simulated, the qualitative flow features, such as the distribution of local stream lines, velocity contours, and high shear region, boundary layers separation, vortex formation, and the underlying mechanism are examined. At low and high Re numbers, the influence of baffle heights on the distribution of species mass fraction of a model pollutant are also highlighted. The simulation of qualitative and quantitative properties of fluid dynamics in a baffled reactor provides valuable insight to fully understand the effect of baffles and their role on the flow pattern, behaviour, and features of wastewater treatment using a photocatalytic reactor.
Publisher: Elsevier BV
Date: 02-2018
Publisher: SAE International
Date: 08-04-2013
DOI: 10.4271/2013-01-1680
Publisher: MDPI AG
Date: 05-04-2017
DOI: 10.3390/EN10040467
Publisher: American Astronomical Society
Date: 07-2022
Abstract: We present high-cadence optical and ultraviolet light curves of the normal Type Ia supernova (SN) 2021aefx, which shows an early bump during the first two days of observation. This bump may be a signature of interaction between the exploding white dwarf and a nondegenerate binary companion, or it may be intrinsic to the white dwarf explosion mechanism. In the case of the former, the short duration of the bump implies a relatively compact main-sequence companion star, although this conclusion is viewing-angle dependent. Our best-fit companion-shocking and double-detonation models both overpredict the UV luminosity during the bump, and existing nickel-shell models do not match the strength and timescale of the bump. We also present nebular spectra of SN 2021aefx, which do not show the hydrogen or helium emission expected from a nondegenerate companion, as well as a radio nondetection that rules out all symbiotic progenitor systems and most accretion disk winds. Our analysis places strong but conflicting constraints on the progenitor of SN 2021aefx no current model can explain all of our observations.
Publisher: Informa UK Limited
Date: 04-05-2023
Publisher: Elsevier BV
Date: 02-2019
Publisher: Elsevier BV
Date: 05-2015
Publisher: American Chemical Society (ACS)
Date: 20-06-2017
Publisher: IWA Publishing
Date: 16-10-2020
Abstract: Tidal estuaries support everyday functions for over 80% of Australia's population living within 50 km of the coastline and thus come under immense pressure of physicochemical changes. Most studies in estuarine applications have used the bed roughness as the single calibration parameter to calibrate hydrodynamic modelling, yet errors in bathymetric data can significantly impose uncertainties into the model outputs. In this study, we evaluated the sensitivity of a hydrodynamic model of a micro-tidal estuary to both the bed roughness and bathymetry offset through comparing observed and modelled water level and velocity. Treating both bathymetry offset and bed roughness as calibration parameters, three calibration scenarios were tested to examine the impact of these parameters. To validate the model, Lagrangian drifter data as a new dataset in shallow estuaries were used. The analysis shows that model outputs are more sensitive to the variation of bathymetry offset than bed roughness. Results show that calibrating the bathymetry offset alone can significantly improve model performance. Simultaneous calibration of both parameters can provide further improvement, particularly for capturing the water level. Drifter and modelled velocities are highly correlated during flood tides, whereas the correlation is low for slack water because of wind-induced current on drifters.
Publisher: Public Library of Science (PLoS)
Date: 23-10-2015
Publisher: Elsevier BV
Date: 05-2021
Publisher: Springer International Publishing
Date: 2016
Publisher: Springer Netherlands
Date: 25-07-2013
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 05-2023
Publisher: Springer Science and Business Media LLC
Date: 06-02-2018
DOI: 10.1038/S41598-018-19330-0
Abstract: The disposal of waste rubber and scrap tyres is a significant issue globally disposal into stockpiles and landfill poses a serious threat to the environment, in addition to creating ecological problems. Fuel production from tyre waste could form part of the solution to this global issue. Therefore, this paper studies the potential of fuels derived from waste tyres as alternatives to diesel. Production methods and the influence of reactor operating parameters (such as reactor temperature and catalyst type) on oil yield are outlined. These have a major effect on the performance and emission characteristics of diesel engines when using tyre derived fuels. In general, tyre derived fuels increase the brake specific fuel consumption and decrease the brake thermal efficiency. The majority of studies indicate that NOx emissions increase with waste tyre derived fuels however, a few studies have reported the opposite trend. A similar increasing trend has been observed for CO and CO 2 emissions. Although most studies reported an increase in HC emission owing to lower cetane number and higher density, some studies have reported reduced HC emissions. It has been found that the higher aromatic content in such fuels can lead to increased particulate matter emissions.
Publisher: American Chemical Society (ACS)
Date: 27-10-2014
DOI: 10.1021/ES503160M
Abstract: We have studied the effect of chemical composition of biodiesel fuel on the physical (volatility) and chemical (reactive oxygenated species concentration) properties of nano particles emitted from a modern common-rail diesel engine. Particle emissions from the combustion of four biodiesels with controlled chemical compositions and different varying unsaturation degrees and carbon-chain lengths, together with a commercial diesel, were tested and compared in terms of volatility of particles and the amount of reactive oxygenated species carried by particles. Different blends of biodiesel and petro diesel were tested at several engine loads and speeds. We have observed that more saturated fuels with shorter carbon chain lengths result in lower particle mass but produce particles that are more volatile and also have higher levels of Reactive Oxygen Species. This highlights the importance of taking into account metrics that are relevant from the health effects point of view when assessing emissions from new fuel types.
Publisher: American Society of Mechanical Engineers
Date: 09-11-2018
Abstract: This study will focus on the detection of misfire using Acoustic emission sensor in a multi-cylinder diesel engine. Detection of misfire is important since this malfunction can cause the engine to stall in a short time. In order to investigate the misfire, an experimental engine was run with and without injection of the fuel in the first cylinder. The acoustic emission signal was acquired synchronously with the crank angle signal, in order to have a reference for the transformation from time to angular domain. The AE signal was then processed using the squared envelope spectrum to highlight angle-periodic modulations in the signal’s power (cyclic bursts). This study will present the effectiveness of this combination of sensor technology and signal processing to detect misfire in a six-cylinder diesel engine connected to a hydraulic dynamometer.
Publisher: Elsevier BV
Date: 12-2017
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2013
Publisher: Elsevier BV
Date: 12-2018
DOI: 10.1016/J.ENVPOL.2018.08.055
Abstract: Particle emission characteristics and engine performance were investigated from an auxiliary, heavy duty, six-cylinder, turbocharged and after-cooled diesel engine with a common rail injection system using spiked fuels with different combinations of sulphur (S) and vanadium (V) spiking. The effect of fuel S content on both particle number (PN) and mass (PM) was clearly observed in this study. Higher PN and PM were observed for fuels with higher S contents at all engine load conditions. This study also found a correlation between fuel S content and nucleation mode particle number concentration which have more harmful impact on human health than larger particles. The highest PN and PM were observed at partial load conditions. In addition, S in fuel resulted in higher viscosity of spiked fuels, which led to lower engine blow-by. Fuel V content was observed in this study, evidencing that it had no clear effect on engine performance and emissions. Increased engine load also resulted in higher engine blow-by. The lower peak of in-cylinder pressure observed at both pre-mixed and diffusion combustion phases with the spiked fuels may be associated with the lower energy content in the fuel blends compared to diesel fuel.
Publisher: Elsevier BV
Date: 02-1998
Publisher: Elsevier BV
Date: 12-2015
Publisher: MDPI AG
Date: 11-2018
DOI: 10.3390/EN11113006
Abstract: Diesel engines release a range of harmful components into the environment in the form of gases, liquids, and particulate matter (PM). These components have a direct and indirect impact on human health and climate change. Wet scrubbers are used to clean diesel exhaust emissions, by bubbling them through a liquid (usually water) to reduce their temperature and remove some soluble components and particles. Then, these emissions pass through a filter to remove further diesel particulate matter. The PM-capturing mechanism, heat transfer mechanism, and fluid mechanism of a wet scrubber are reviewed. Several parameters have a major influence on wet scrubber performance, such as inlet gas velocity. Modeling of a wet scrubber can be conducted through thermodynamics analysis, heat transfer analysis, and computational simulation. These investigations may lead to optimizing wet scrubber performance, and then to reducing both humidity and temperature at the scrubber exit. This humidity reduction increases filter life and reduces maintenance costs.
Publisher: Elsevier BV
Date: 07-2014
Publisher: IOP Publishing
Date: 05-07-2016
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 08-2014
Publisher: Elsevier BV
Date: 07-2014
Publisher: Springer Science and Business Media LLC
Date: 11-2000
Publisher: Springer Science and Business Media LLC
Date: 03-09-2011
Publisher: American Astronomical Society
Date: 08-2023
Abstract: We present very early photometric and spectroscopic observations of the Type Ia supernova (SN Ia) 2023bee, starting about 8 hr after the explosion, which reveal a strong excess in the optical and nearest UV ( U and UVW1 ) bands during the first several days of explosion. This data set allows us to probe the nature of the binary companion of the exploding white dwarf and the conditions leading to its ignition. We find a good match to the Kasen model in which a main-sequence companion star stings the ejecta with a shock as they buzz past. Models of double detonations, shells of radioactive nickel near the surface, interaction with circumstellar material, and pulsational delayed detonations do not provide good matches to our light curves. We also observe signatures of unburned material, in the form of carbon absorption, in our earliest spectra. Our radio nondetections place a limit on the mass-loss rate from the putative companion that rules out a red giant but allows a main-sequence star. We discuss our results in the context of other similar SNe Ia in the literature.
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier BV
Date: 03-2011
DOI: 10.1016/J.JENVMAN.2010.08.028
Abstract: In recent years, the application of heterogeneous photocatalytic water purification processes has gained wide attention due to its effectiveness in degrading and mineralizing the recalcitrant organic compounds as well as the possibility of utilizing the solar UV and visible-light spectrum. This paper aims to review and summarize the recent works on the titanium dioxide (TiO(2)) photocatalytic oxidation of pesticides and phenolic compounds, predominant in storm and wastewater effluents. The effects of various operating parameters on the photocatalytic degradation of pesticides and phenols are discussed. Results reported here suggest that the photocatalytic degradation of organic compounds depends on the type and composition of the photocatalyst and, light intensity, initial substrate concentration, amount of catalyst, pH of the reaction medium, ionic components in water, solvent types, oxidizing agents/electron acceptors, catalyst application mode, and calcination temperature in the water environment. A substantial amount of research has focused on the enhancement of TiO(2) photocatalysis by modification with metal, non-metal and ion doping. Recent developments in TiO(2) photocatalysis for the degradation of various pesticides and phenols are also highlighted in this review. It is evident from the literature survey that photocatalysis has good potential to remove a variety of organic pollutants. However, there is still a need to determine the practical utility of this technique on a commercial scale.
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 10-2014
Publisher: American Chemical Society (ACS)
Date: 26-06-2013
DOI: 10.1021/ES4007433
Abstract: Generally, the magnitude of pollutant emissions from diesel engines running on biodiesel fuel is ultimately coupled to the structure of the fuel's constituent molecules. Previous studies demonstrated the relationship between the organic fraction of particulate matter (PM) and its oxidative potential. Herein, emissions from a diesel engine running on different biofuels were analyzed in more detail to explore the role that different organic fractions play in the measured oxidative potential. In this work, a more detailed chemical analysis of biofuel PM was undertaken using a compact time of flight aerosol mass spectrometer (c-ToF AMS). This enabled a better identification of the different organic fractions that contribute to the overall measured oxidative potentials. The concentration of reactive oxygen species (ROS) was measured using a profluorescent nitroxide molecular probe 9-(1,1,3,3-tetramethylisoindolin-2-yloxyl-5-ethynyl)-10-(phenylethynyl)anthracene (BPEAnit). Therefore, the oxidative potential of the PM, measured through the ROS content, although proportional to the total organic content in certain cases, shows a much higher correlation with the oxygenated organic fraction as measured by the c-ToF AMS. This highlights the importance of knowing the surface chemistry of particles for assessing their health impacts. It also sheds light onto new aspects of particulate emissions that should be taken into account when establishing relevant metrics for assessing health implications of replacing diesel with alternative fuels.
Publisher: American Chemical Society (ACS)
Date: 09-09-2019
Publisher: Royal Society of Chemistry (RSC)
Date: 2015
DOI: 10.1039/C5EM00125K
Abstract: Microalgae are considered to be one of the most viable biodiesel feedstocks for the future due to their potential for providing sustainable and cleaner alternatives to petroleum diesel.
Publisher: Elsevier BV
Date: 07-2015
Publisher: SAE International
Date: 02-06-2021
DOI: 10.4271/2021-01-5061
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 04-2013
Publisher: Copernicus GmbH
Date: 17-08-2015
Abstract: Abstract. In the prospect of limited energy resources and climate change, effects of alternative biofuels on primary emissions are being extensively studied. Our two recent studies have shown that biodiesel fuel composition has a significant impact on primary particulate matter emissions. It was also shown that particulate matter caused by biodiesels was substantially different from the emissions due to petroleum diesel. Emissions appeared to have higher oxidative potential with the increase in oxygen content and decrease of carbon chain length and unsaturation levels of fuel molecules. Overall, both studies concluded that chemical composition of biodiesel is more important than its physical properties in controlling exhaust particle emissions. This suggests that the atmospheric aging processes, including secondary organic aerosol formation, of emissions from different fuels will be different as well. In this study, measurements were conducted on a modern common-rail diesel engine. To get more information on realistic properties of tested biodiesel particulate matter once they are released into the atmosphere, particulate matter was exposed to atmospheric oxidants, ozone and ultra-violet light and the change in their properties was monitored for different biodiesel blends. Upon the exposure to oxidative agents, the chemical composition of the exhaust changes. It triggers the cascade of photochemical reactions resulting in the partitioning of semi-volatile compounds between the gas and particulate phase. In most of the cases, aging lead to the increase in volatility and oxidative potential, and the increment of change was mainly dependent on the chemical composition of fuels as the leading cause for the amount and the type of semi-volatile compounds present in the exhaust.
Publisher: Royal Society of Chemistry (RSC)
Date: 2017
DOI: 10.1039/C7RA02335A
Abstract: Thermal liquefaction of five potential feedstocks namely, banana bunch stems (BBS), pineapple tops (PT), Forage sorghum (FS), bagasse (Ba) and Arundo donax (AD) were examined from an energy perspective at a large laboratory scale.
Publisher: Elsevier BV
Date: 03-2022
Publisher: The University of Queensland
Date: 2020
DOI: 10.14264/9B3F9C0
Publisher: The University of Queensland
Date: 2014
DOI: 10.14264/UQL.2014.48
Publisher: Elsevier BV
Date: 05-2022
Publisher: Springer Science and Business Media LLC
Date: 04-05-2016
Publisher: The University of Queensland
Date: 2020
DOI: 10.14264/93B2CF8
Publisher: MDPI AG
Date: 13-06-2018
DOI: 10.3390/W10060776
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 02-2020
Publisher: MDPI AG
Date: 18-08-2014
DOI: 10.3390/EN7085317
Publisher: IWA Publishing
Date: 03-2009
DOI: 10.2166/WST.2009.044
Abstract: Flow through a gross pollutant trap (GPT) with fully blocked screens is investigated experimentally and theoretically using computational fluid dynamics (CFD). Due to the wide range of possible flow regimes, an experimental approach is developed which uses a downstream weir arrangement to control the nature of the flow and the variation in free surface height. To determine the overall flow structure, measurements are taken at a fixed depth throughout the trap with an Acoustic Doppler Velocimeter (ADV), including velocity profile data across three cross sections of the GPT suitable for more detailed comparison with simulations. Observations of the near-wall flow features at the free surface are also taken, due to their likely importance for understanding litter capture and retention in the GPT. Complementary CFD modelling (using Fluent 6.3) is performed using a two-dimensional k−ɛ turbulence model along with either standard wall law boundary conditions or enhanced near-wall modelling approaches. Comparison with experiments suggest that neither CFD modelling approach could be considered as clearly superior to the other, despite the significant difference in near-wall mesh refinement and modelling that is involved. The experimental approach taken here is found useful to control the flow regime in the GPT and further experiments are recommended to study a greater range of flow conditions.
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 05-2021
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 10-2023
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 02-2020
Publisher: BMJ
Date: 15-12-2018
DOI: 10.1136/SEXTRANS-2017-053287
Abstract: Drug-resistant Neisseria gonorrhoeae are now a global public health threat. Direct transmission of antibiotic-resistant gonococci between in iduals has been proposed as a driver for the increased transmission of resistance, but direct evidence of such transmission is limited. Whole-genome sequencing (WGS) has superior resolution to investigate outbreaks and disease transmission compared with traditional molecular typing methods such as multilocus sequence typing (MLST) and N. gonorrhoeae multiantigen sequence (NG-MAST). We therefore aimed to systematically investigate the transmission of N. gonorrhoeae between men in sexual partnerships using WGS to compare isolates and their resistance to antibiotics at a genome level. 458 couples from a large prospective cohort of men who have sex with men (MSM) tested for gonorrhoea together between 2005 and 2014 were included, and WGS was conducted on all isolates from couples where both men were culture-positive for N. gonorrhoeae . Resistance-determining sequences were identified from genome assemblies, and comparison of isolates between and within in iduals was performed by pairwise single nucleotide polymorphism and pangenome comparisons, and in silico predictions of NG-MAST and MLST. For 33 of 34 (97% 95% CI 85% to 100%) couples where both partners were positive for gonorrhoea, the resistance-determining genes and mutations were identical in isolates from each partner (94 isolates in total). Resistance determinants in isolates from 23 of 23 (100% 95% CI 86% to 100%) men with multisite infections were also identical within an in idual. These partner and within-host isolates were indistinguishable by NG-MAST, MLST and whole genomic comparisons. These data support the transmission of antibiotic-resistant strains between sexual partners as a key driver of resistance rates in gonorrhoea among MSM. This improved understanding of the transmission dynamics of N. gonorrhoeae between sexual partners will inform treatment and prevention guidelines.
Publisher: Elsevier BV
Date: 02-2021
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 05-2020
Publisher: Springer Science and Business Media LLC
Date: 12-2020
DOI: 10.1186/S12934-020-01472-4
Abstract: Dewatering constitutes a major challenge to the production of microalgae, accounting for 20–30% of the product cost. This presents a setback for the applicability of microalgae in the development of several sustainable products. This study presents an investigation into the dynamic dewatering of microalgae in a combined flocculation-filtration process. The effect of process conditions on the performance of 12 flocculants and their mixtures was assessed. The mechanism of flocculation via the electrostatic path was dominated by charge neutralization and subsequently followed bridging in a ‘sweep flocculation’ process. Cationic polyacrylamide (CPAM) based flocculants recorded the highest biomass retention with PAM1 and PAM2 attaining 99 and 98% retention with flocculant dosages of 10 and 15 mg/L respectively. Polyvinylamine (PVAM) was also found to improve system stability across the pH range 4–10. Alum was observed to be only effective in charge neutralization, bringing the system close to its isoelectric point (IEP). Chemometric analysis using the multi-criteria decision methods, PROMETHEE and GAIA, was applied to provide a sequential performance ranking based on the net outranking flow (ф) from 207 observations. A graphical exploration of the flocculant performance pattern, grouping the observations into clusters in relation to the decision axis ( $$\\pi$$ π ), which indicated the weighted resultant of most favorable performance for all criteria was explored. CPAM based flocculants and their mixtures demonstrated superior performance due to their viscoelastic behaviour under turbulence. The use of PVAM or alum in mixtures with CPAM reduced the required doses of both flocculants, which will provide beneficial financial impact for largescale microalgae dewatering in a flocculant assisted dynamic filtration process. Chemometric analysis based on the physico-chemical properties of the system provides a time saving assessment of performance across several criteria. The study findings provide an important foundation for flocculant assisted dynamic filtration processes.
Publisher: Springer Science and Business Media LLC
Date: 12-2016
Publisher: Elsevier BV
Date: 04-2015
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/DCA0A6F
Publisher: Elsevier BV
Date: 09-2012
Publisher: MDPI AG
Date: 16-12-2017
DOI: 10.3390/EN10122152
Publisher: American Chemical Society (ACS)
Date: 08-12-2010
DOI: 10.1021/ES9021377
Abstract: Particle emissions, volatility, and the concentration of reactive oxygen species (ROS) were investigated for a pre-Euro I compression ignition engine to study the potential health impacts of employing ethanol fumigation technology. Engine testing was performed in two separate experimental c aigns with most testing performed at intermediate speed with four different load settings and various ethanol substitutions. A scanning mobility particle sizer (SMPS) was used to determine particle size distributions, a volatilization tandem differential mobility analyzer (V-TDMA) was used to explore particle volatility, and a new profluorescent nitroxide probe, BPEAnit, was used to investigate the potential toxicity of particles. The greatest particulate mass reduction was achieved with ethanol fumigation at full load, which contributed to the formation of a nucleation mode. Ethanol fumigation increased the volatility of particles by coating the particles with organic material or by making extra organic material available as an external mixture. In addition, the particle-related ROS concentrations increased with ethanol fumigation and were associated with the formation of a nucleation mode. The smaller particles, the increased volatility, and the increase in potential particle toxicity with ethanol fumigation may provide a substantial barrier for the uptake of fumigation technology using ethanol as a supplementary fuel.
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 03-2017
Publisher: MDPI AG
Date: 07-2015
DOI: 10.3390/EN8076765
Publisher: Elsevier BV
Date: 11-2004
Publisher: Springer Singapore
Date: 04-10-2018
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 04-2012
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/EECCC3F
Publisher: Elsevier BV
Date: 07-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Publisher: The University of Queensland
Date: 11-12-2020
DOI: 10.14264/7847A45
Publisher: Elsevier BV
Date: 11-2017
Publisher: EDP Sciences
Date: 2014
DOI: 10.1051/MECA/2014017
Publisher: Springer Science and Business Media LLC
Date: 12-2005
Publisher: Elsevier BV
Date: 2014
Publisher: American Astronomical Society
Date: 08-2022
Abstract: We present high-cadence optical, ultraviolet (UV), and near-infrared data of the nearby ( D ≈ 23 Mpc) Type II supernova (SN) 2021yja. Many Type II SNe show signs of interaction with circumstellar material (CSM) during the first few days after explosion, implying that their red supergiant (RSG) progenitors experience episodic or eruptive mass loss. However, because it is difficult to discover SNe early, the ersity of CSM configurations in RSGs has not been fully mapped. SN 2021yja, first detected within ≈ 5.4 hours of explosion, shows some signatures of CSM interaction (high UV luminosity and radio and x-ray emission) but without the narrow emission lines or early light-curve peak that can accompany CSM. Here we analyze the densely s led early light curve and spectral series of this nearby SN to infer the properties of its progenitor and CSM. We find that the most likely progenitor was an RSG with an extended envelope, encompassed by low-density CSM. We also present archival Hubble Space Telescope imaging of the host galaxy of SN 2021yja, which allows us to place a stringent upper limit of ≲ 9 M ☉ on the progenitor mass. However, this is in tension with some aspects of the SN evolution, which point to a more massive progenitor. Our analysis highlights the need to consider progenitor structure when making inferences about CSM properties, and that a comprehensive view of CSM tracers should be made to give a fuller view of the last years of RSG evolution.
Publisher: Elsevier BV
Date: 07-2019
Publisher: American Geophysical Union (AGU)
Date: 11-2012
DOI: 10.1029/2012WR012381
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 12-2017
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 10-2013
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 02-2020
Location: No location found
Location: Japan
Location: Japan
Start Date: 2019
End Date: 2021
Funder: Australian Research Council
View Funded ActivityStart Date: 2018
End Date: 2020
Funder: Australian Research Council
View Funded ActivityStart Date: 2002
End Date: 2004
Funder: Australian Research Council
View Funded ActivityStart Date: 2008
End Date: 2009
Funder: Queensland Government
View Funded ActivityStart Date: 2007
End Date: 2009
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 2010
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 2012
Funder: Australian Coal Association Research Program
View Funded ActivityStart Date: 2011
End Date: 2014
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 2014
Funder: Department of Industry, Innovation and Science
View Funded ActivityStart Date: 2015
End Date: 2017
Funder: Australian Coal Association Research Program
View Funded ActivityStart Date: 2015
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2023
End Date: 07-2028
Amount: $4,939,486.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2012
End Date: 12-2016
Amount: $330,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 12-2009
Amount: $300,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 10-2003
End Date: 12-2006
Amount: $67,635.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2019
End Date: 12-2023
Amount: $325,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2018
End Date: 06-2022
Amount: $354,636.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2008
End Date: 03-2012
Amount: $375,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2016
End Date: 08-2020
Amount: $397,000.00
Funder: Australian Research Council
View Funded Activity