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Qatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1
- Conference date: 22-23 Mar 2016
- Location: Qatar National Convention Center (QNCC), Doha, Qatar
- Volume number: 2016
- Published: 21 March 2016
121 - 140 of 656 results
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First Impact Assessment of Genotoxic Components in the Qatari Marine Environment
The Arabian Gulf is a semi-enclosed sea with very high evaporation and low discharge rates resulting in extreme saline and thermal conditions. Additionally the system is characterized by a weak hydrodynamic flushing resulting in pollutant build-up over time. As a result, compared to open marine systems, added stress imposed by pollutants is likely to have severe consequences.
Qatar has witnessed a rapid expansion in coastal development, linked to its industrial and population growth in recent decades. While economically and socially valuable, the growth comes with an associated environmental cost and Qatar's marine environment now faces many pressures including eutrophication, inputs of domestic sewage, discharge of industrial waste and the resuspension of sediment due to coastal construction. Although the threats pose to biota inhabiting Qatar's marine environment are evident, their extent has yet to be fully assessed.
A large percentage of contaminants in the aquatic environment consist of potentially (directly or indirectly) genotoxic, carcinogenic and mutagenic substances. A genotoxin can modify the genetic material at non lethal and non cytotoxic concentrations and has often belated effects which are significantly important at the population and community levels. Genotoxins have particularly high ecotoxicological relevance in situations of chronic exposure to low doses and to multiple contaminants (e.g. in case of PAHs rich tarballs arriving in the shorelines), raising he need to establish genotoxicological profiles of the ecosystems.
Indeed several regulatory developments such as: EU – Marine Strategy Framework Directive, the or US – Environmental Protection Agency – Integrated Risk Information System have stressed explicitly on the need of the detection and assessment of potential carcinogenic and mutagenic toxicants using genotoxicity endpoints.
The analysis of cytogenetic endpoints in organisms exposed to contaminants in their natural environment contributes significantly to the early detection of genotoxic damage. The relevance of cytogenetic parameters and atypical cytogenetic features, such as numerical chromosomal abnormalities, i.e. aneuploidy, have largely proven their relevance as alerting indicators of poor environmental health and relevant biomarkers for the early detection of environmental stressors.
The use of marine invertebrates for in situ environmental assessment is a widely accepted method for identifying risks to the ecosystems. Moreover, at the DNA and chromosome levels they express qualitatively similar types of induced damage to that found in higher organism (e.g. numerical and structural chromosomal aberrations).
In this study, we aimed to take a step towards Qatar's marine sustainability by assessing the health status of the marine environment, and providing early alerting symptoms of degradation, by having as specific objectives: i) to measure the levels, in abiotic (water, sediments) and a marine invertebrate model species, of various anthropogenic contaminants (metals, polycyclic aromatic hydrocarbons, (PAHs) and Total polyaromatic hydrocarbons (TPH) at 3 selected sites around the Qatari coast, ii) measure the biological response at the chromosome level, and iii) determine the main drivers of genotoxicity through a multivariate analysis in order to establish a first partial genotoxicological profile of the Qatar Marine Zone.
The 3 selected sampling sites, with expected different levels and sources of pollution were: South of Al Khor, Al Wakra harbor and South of Doha harbor. Two sampling campaigns were performed, one in summer and one in winter, to evaluate the role of the abiotic parameters, among others, on the bioavailability of the studied contaminants.
The native pearl oyster Pinctada radiata was selected as model and surrogate species due to, its wide distribution along the Qatari coast, filter feeder and sessile mode of life and to its ability as a bivalve to bioaccumulate pollutants. Chemical analyses of the main trace metals and hydrocarbons were performed in water, sediment and P. radiata samples.
The evaluation of the aneuploidy levels in P. radiata was estimated in 25–30 animals from each sampling site and season, by counting the total number of aneuploid metaphases over 30 metaphases counted per individual.
The evaluation of the aneuploidy level on Pinctada radiata from the three sampling sites revealed an occurrence of significantly higher levels in Al-Wakra harbor (17% in summer and 20% in winter) and South of Doha harbor (19% in summer and 17% in winter), when compared to Al Khor (5% in summer cand 7% in winter). No statistically significant differences were observed between seasons in each location.
In order to investigate the discrepancy between sampling sites and seasons with respect to all estimated descriptors and to evaluate the relationship between all the studied parameters, a principal component analysis (PCA) was performed. Aneuploidy levels were highly correlated to mercury and PAHs levels in the bivalve tissue. Moreover, the higher aneuploidy levels registered at Al Wakra harbor (both seasons) and Doha harbor (summer) showed a high correlation with the contaminants levels in P. radiata tissues. South of Al Khor (in both sampling seasons) was highly positively correlated with Cadmium (Cd), although this contamination was not responsible for a significant increase of the aneuploidy levels.
The studied genotoxic contaminants were found to be highly variable among considered locations and between sampling seasons. Indeed, the 6 observations (contaminants levels among three sampling sites at two sampling seasons) differ substantially, no site or sampling season grouping being observed, which suggests an important spatial and temporal variability of the bioaccumulation of pollutants into P. radiata tissues.
The aneuploidy levels, however, were consistently different among sampled locations, but did not differ between the two sampling seasons, suggesting that aneuploidy is the consequence of a local chronic contamination, and not a direct response to the temporal variability of the contaminants in P. radiata tissues.
The results of this study confirm the suitability of the cytogenetic endpoints to discriminate, categorize the studied sites as regards to their level of contamination, underlining the added value of the detection of the genotoxicity levels in the marine environment to environmental health assessment and mitigation research programs. Further studies should be developed, under the specific hydrological and toxicological conditions of the Qatar Marine Zone (QMZ), to better explain the underlining mechanisms of such genotoxicity in the local filter feeders.
The establishment of a Genotoxicological profile of the QMZ would be a valuable contribution to a wider approach on environmental diagnosis or prognosis, contributing to the protection and sustainability of the QMZ natural habitats and resources.
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Why is it Important to Model the Performance and Reliability of Photovoltaics Under Qatar's Climate?
Authors: Nicolas Barth, Ahmed Ennaoui and Saïd AhziPhotovoltaics (PVs) are the solar harvesting devices currently envisioned to anchor the will of increasing Renewable Energy in Qatar. These devices are planned to be deployed within the next few years to achieve the GW scale. Less oil and gas dependence is important on the very long timescale, as per the perspective of the energy security grand challenge of the state of Qatar. Within Qatar Environment and Energy Research Institute (QEERI), HBKU, Qatar Foundation, we are developing modeling and numerical simulation tools that aim at predicting the behavior and performance of photovoltaic panels. Based on scientific grounds, this work also aims to show how such a predictive tool is important for the energy transition of Qatar.
Manufactured PV panels are opto-electronic devices having as a core the solar cells, sandwiched within electrical collectors, generally connected together in modules that are finally encapsulated and mounted as the panel. For silicon-based solar cells, the mainstream technologies feature different laminated materials such as a front glass layer, encapsulating polymers and a metal-based back-sheet. Our initial modeling and related results are based on a two-dimensional design of the PV panel, with interest in the through-thickness physical state inside the panel.
Our current modeling is developed following a multi-physics approach capable of simulating the performance as function of the thermal behavior under any atmospheric conditions – and for any mounting conditions. We particularly consider the harsh conditions of Qatar's hot and humid desert climate. The modeling scheme of this initial work is illustrated in the support Figure that should be attached to this abstract. The computational code consists in three sub-models for this initial multi-physics modeling:
(1) the solar irradiance modeling which places the PV panel under mounting conditions within an environment having direct Sun light, diffuse light irradiance from the sky, and ground-reflected irradiance (albedo);
(2) the thermal modeling, allowing to compute the through-thickness temperature of the PV panel;
and (3) the electrical modeling, assuming a perfect yield of the current–potential “I–V” curves of the PV device (which is to say that the PV module is assumed stationary on the grid at its maximum power point, whatever the irradiance and temperature conditions).
The through-thickness temperature is then obtained within the PV device throughout the undertaken computational experiments. This temperature field is resulting from heat dissipation effects at the boundaries of the PV panel due to convection and radiation in the thermal environment, where ambient temperature and wind speed of the air may vary. Moreover, the solar irradiance data from Qatar is also used as input for the PV device at the front interface of the solar cell in the PV panel. Following this input from the solar radiation, and at any simulated time, the electrical yield of the PV device is also taken into account in the thermal balance. This can be done since the solar radiation not converted into electrical energy should end up as a thermal energy source (the device is not in open-circuit conditions).
Following this approach, we established numerical methods with application to long-term service (>1 year) conditions simulations, relevant to the Gulf region of silicon-based PV modules. Thermal variations are obtained due to the alternation between daylight and nights in Qatar, as well as seasons.
It can be noted that the PV performance simulations are used as first approximations to estimate long-term performances of the PV devices in Qatar. Later, in future works, the models will be coupled to the reliability and failure mechanisms relevant to the warranty period and consensus lifespans of the PV technologies. In future works, it is also relevant to account for soiling effects due to dust in Qatar, and estimate the nominal performance of PV panels/arrays/plants with mitigation solutions (cleaning etc.).
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Modeling and Mapping the Optimum Sites for PV Solar Energy Farms in Qatar Using Geographic Information System (GIS)
Authors: Yasir Elginaid Mohieldeen, Hissa H. Al-Hajri and Diego MartinezThe State of Qatar wants to generate 20% of its electricity requirement from solar power by 2020. This policy aims to meet the increasing electricity demand induced by increasing population and the associated urbanization with its energy-hungry life-style while adopting at the same time environmental-friendly renewable energy. Qatar's population has increased almost five times from 0.37 million to 1.74 million between 1986 and 2010, and six times between 1986 and 2014.
The electricity and water company in Qatar KAHRAMAA has reported an increase in the maximum network load from 941 MW in 1988 to 3,990 MW in 2008 and reached 6255 MW in 2012. The number of customers increased from 132,429 in 1998 to 293,604 in 2013.
This increase in demand is triggered also by changes in life-style, indicated by electricity per capita consumption figures. The per capita consumption grew from 12.963 KW to 17.774 KW in 2007.
To meet this increasing demand for electricity, and as a dry country with no hydro-power resources, Qatar has increased the number of gas-generated electricity plants in the 2000s from 3 to 8 plants. Gas energy is used to generate electricity in these plants.
Qatar is ranked as having the second-highest per capita ecological footprint among 150 countries, down from being the highest in 2012, according to the WWF's Living Planet Report. This report is published every two years. With these environmental concerns and the unstable oil prices in mind Qatar has decided to introduce clean renewable energy to produce electricity as opposed to non-renewable environmentally un-friendly natural gas.
Solar energy is arguably the most effective way to meet the increasing energy demand of Qatar and the region, for the following reasons: firstly, solar energy is renewable as opposed to the non-renewable gas and oil which are finite resources. Secondly, solar energy is clean and limits the emissions of Greenhouse Gases. Thirdly, using solar energy lengthens the life of oil and natural gas resources, and reserves them for future generations.
A preliminary analysis of solar energy potentials carried out by QF-QEERI using historical data collected by Qatar Meteorological Department (QMD), reveals that there is a high potential of solar energy in Qatar. The ground-measured yearly average Global Horizontal Irradiation (GHI) for Qatar is 2113 kWh/m2/year. GHI is suitable for the Photovoltaic (PV) method of converting solar energy into direct current electricity.
The selection of optimum sites for Photovoltaic (PV) solar energy production facilities has been one of the single most sought after objectives by solar scientists, and decision makers, as it can determine the success or the failure of solar projects with big budgets.
In the State of Qatar one of the main issues that faces large scale implementation of solar Photovoltaic (PV) energy production is the availability of land. With an area of 11,500 km2, including growing urban centers, agricultural farms, industrial cities, and with most of the desert areas are environmentally protected land, or used as utility corridors such as oil and gas pipes, or reserved for future plans, finding large tracks of land for solar farms is not an easy task/exercise.
Multi-criteria analysis is carried out in this study using ESRI ArcGis to identify the optimum sites for solar energy farms in the country. Criteria for land suitability for solar farms has been identified and used in the GIS analysis and model building, these are: land slope, aspects, proximity to coast-line, proximity to roads (i.e. accessibility), proximity to electric grid, restricted areas, urban areas, environmentally protected areas, and water ponds. These criteria are then used as a base for assigning suitable weights in the model building in MODEL BUILDER of ArcGis software. Different geospatial analysis techniques were included in the model such as, buffering, surface analysis and weighed overlaying of datasets.
The main result obtained in this study is the model itself, as it can be run with different sets of scenarios according to the requirements of the scientists and decision makers. The model produces maps showing the optimum sites for PV solar energy production in Qatar.
GIS is proved to be very efficient (time and cost effective) tool in finding solutions to such cumbersome problem, where many factors need to be taken into account. The project demonstrates a real application of GIS where it is used as a decision making tool at a national level projects.
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Developing Targets for Power Generation from Multiple Hot Streams
Authors: Omar Al-Ani and Patrick LinkeEnergy efficiency is growing in importance as governments move to decrease their dependence on fossil based fuels. There are many industries with waste heat streams that need to be cooled down to lower temperatures. The excess heat from these hot streams can be used for generating power using a thermodynamic cycle (such as an Organic Rankine Cycle). A natural first step for assessing such power generation options would to determine the thermodynamic limits that exist for maximum power generation from the single or multiple hot streams. Similar to energy targets from the well-established Pinch Analysis techniques, such power generation targets could inform decision making on pursuing power generation options for the how streams. To date, little work has been done on determining a target efficiency for power generation from multiple waste heat streams. This work is the first to propose two rigorous targeting approaches.
The first approach is based on Carnot efficiencies. As the Carnot cycle is the most efficient power generation cycle, the approach will yield a benchmark in terms of the maximum power that can be generated from the waste heat streams under ideal conditions. The targeting approach will be derived and explained for the general case of multiple hot streams. It will be presented for two common cases of information on multiple hot streams, i.e. the availability of individual hot stream data and the availability of aggregate hot stream data in the form of a composite curve. The Carnot power generation targets cannot be exceeded by real power generation cycles and present the thermodynamic limits for the system. The Carnot targets can be developed very quickly using the proposed approach to inform decisions. The Carnot targets inform the design engineer of power generation potential so that further study can be decided upon (or not) swiftly.
The second targeting approach takes into account the characteristics of real power generation cycles in the form of steam or organic Rankine cycles. The Rankine cycle is chosen in this work as it is the most common thermodynamic cycle employed in for power generation from low grade heat. The proposed approach takes into account the properties of working fluids and a minimum temperature difference between power cycle and the multiple available hot streams. Because of considering the real fluids and driving forces in heat transfer, the targets from the second approach are lower than the Carnot targets from the first approach, but are approachable with real power generation cycles. The real system targets inform the design engineer of power generation potential with Rankine cycles so that further study can be decided upon.
We will focus our presentation on communicating each targeting approach as an easy to use, step by step procedure. Both targeting approaches presented in this work will be illustrated using examples involving power generation from multiple hot streams. We will specifically emphasize the importance of taking a systems view across multiple hot streams when developing power generation systems against multiple hot streams. We will conclude with an outlook on Rankine systems design against multiple hot streams to develop concrete cycle configurations with increased complexity towards the real systems targets.
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Mapping and Sequencing of Sex Determination Genes in Phoenix Dactylifera
Date palm (Phoenix dactylifera) is one of the most important crops in many arid land cultures. The date fruits are rich in essential nutrients, minerals, vitamins and fiber, making them a critical food source linked to the history of the Arab world. The most frequent method of propagation is by offshoots, which guarantees that the characteristics and quality of the fruit are maintained; however, it significantly reduces the genetic variability of the date palm plantations, making them extremely vulnerable to pests and diseases. During the past few years, advances on date palm research have provided some information about the molecular markers associated with different desirable agronomical traits, including gender and fruit color.
We recently showed that P. dactylifera employs and XY sex-chromosome system, and generated a genetic map that localized this gender determination locus to the lower arm of linkage group 12. Based on this initial information, we designed markers to screen a Bacterial Artificial Chromosome (BAC) library of a male P. dactylifera to sequence the X and Y alleles in date palm. A combination of approaches that include next-generation (Illumina) and Single Molecule, Real-Time (SMRT) Sequencing (PacBio) of more than one hundred BAC clones, have allowed us to map eighty markers to eleven larger DNA contigs, containing the corresponding female and male specific regions, spanning approximately 4Mb. However, multiple sequence gaps still exist within and between the sequenced region, and further analysis have indicated that the borders of most assembled contigs correspond to repetitive elements, which likely constitute a big portion of the unassembled DNA sequences. Non-recombining regions of sex chromosomes, particularly the Y chromosome, are highly repetitive due to degeneration, making it more challenging to design markers and extend the assembled sequences by chromosome walking.
These observations, led us to propose a parallel approach to complement and advance on the initial sequencing strategy. Date palm, and all other thirteen members of the genus Phoenix, are dioecious, with roughly half of the individuals planted from seed expected to be fruit-bearing female trees. The conservation of dioecy in this entire clade in the Palm family (Arecaceae) suggests that in the genus Phoenix, dioecy evolved before speciation. Therefore, we recently started using comparative genomics to analyze male and female individuals from the remaining thirteen Phoenix species, which has allowed us to narrow down the Y-specific region to a very small portion of the genome, containing only a few genes. Our latest findings are providing a new insight into the evolution of plant sex chromosomes and sex determination in date palm. Standardization and validation of new methodologies that allow for large-scale sequencing and analysis of polymorphisms in date palm, will provide valuable tools for the development of marker-assisted selection programs, for the improvement of date palm production. This will allow Qatar to diversify the varieties of dates it grows, and in the near future will allow us to test for the most desirable agricultural traits, which will significantly improve the quality of the fruit, making Qatar a more competitive date producer in the region.
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New Approach in Adsorption Reactor Design for Refrigeration and Heat Pumps Applications
More LessMost adsorbents used in reactors of adsorption refrigeration and heat pump systems are often initially manufactured for different applications namely drinking water treatment, waste water treatment, gas storage, gas and liquid filtration or separation in industrial processes, dehumidification process. Furthermore there will be a requirement of mapping of refrigerant specific uptake against operating conditions mainly temperatures and pressure: this will require to a large number of experimental data for the pair studied (adsorbent-refrigerant) characterisation. Therefore, the adsorbents found in the market will not necessary offer optimum performance for adsorption refrigeration and heat pumps applications. In order to address this issue and in the prospect of manufacturing specific activated carbon adsorbent, a research work is carried out at Warwick University with the objective of screening a large number adsorbent models (more than 60,000) and identifying suitable ones with optimum characteristics for three applications: Ice marking (TC = 35oC, TE = -5oC), Air conditioning (TC = 35oC, TE = 15oC) and Heat pump (TC = 40oC, TE = 5oC). For each application, the driving temperature will range from 90oC to 250oC. The method consists of using Dubinin-Astakhov modified equation [1] and establishing the maximum refrigerant uptake variation for each application. For this purpose the three key parameters of adsorbent-refrigerant will be varied: xo (maximum uptake of refrigerant by the adsorbent in kg refrigerant per kg of adsorbent) from 0 to 1; K (energetic affinity characteristic of adsorbent-refrigerant pair) from 1 to 50 and n (characteristic of adsorbent micro-pores size distributions) varies from 0 to 6. Overall, the preliminary simulation results show that for each adsorbent model with each application, the refrigerant uptake variation has an optimum (Fig. 1). Furthermore and as expected at high temperature, those optima values are tailed off by the maximum uptake of refrigerant xo (Fig. 2): it is therefore appropriate and practical to consider 90% to 95% of the value for n and K selection. Figure 3 is an illustration of specific cooling capacity for Air conditioning application. Future simulation work will also include evaluation of both heat desorption and heat of adsorption therefore the coefficient of performance (COP). Before any attempting of manufacturing any sample of a given model of activated carbon, further additional work will include simulation performance of a full model of adsorption refrigeration and heat pump systems already available [2, 3].
References
[1] Z. Tamainot-Telto, S.J. Metcalf, R.E. Critoph, Y. Zhong, R.N. Thorpe, “Carbon-Ammonia pairs for adsorption refrigeration applications: ice making, air conditioning and heat pumping”, International Journal of Refrigeration, 32 (6), pp. 1212-1229, ISSN 0140-7007 (2009)
[2] Z. Tamainot-Telto, S.J. Metcalf, R.E. Critoph, Novel compact sorption generators car air conditioning, International Journal of Refrigeration, 32 (4), pp. 727-733, ISSN 0140-7007 (2009)
[3] S.J. Metcalf, R.E. Critoph, Z. Tamainot-Telto - Optimal cycle selection in carbon-ammonia adsorption cycles – International Journal of Refrigeration, 35 (3), pp. 571-580, ISSN: 0140-7007 (2012).
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Multiscale Modelling of Carburization of Steel Through Fe-110 Surface and Role of Vacancy Defects
Carburization of metal is a catalytic reaction that occurs on metal surfaces exposed to hydrocarbon atmosphere at high temperatures. This reaction is a form of the well-known Fischer-Tropsch synthesis and is immensely important to various industrial aspects, most notably metal dusting corrosion (MDC) [1] and catalytic conversions [2]. On Fe surfaces, carburization occurs at high temperature, initiated by adsorption of gaseous hydrocarbons and is responsible for triggering both MDC, a catastrophic failure of the structural integrity of metals and alloys and a severe threat to the petrochemical industries, and a central reaction in catalytic converters, that are purposefully designed to produce a high yield of carburization to reduce the emission of toxic gasses. One of the most abundant and widely-studied carburizing gas is carbon monoxide (CO) that has been observed to react with Fe surface and dissociate at temperatures 600–900 K. In a hydrocarbon environment, the reaction is given by,
CO+H_(2) ( → ⊥ 800K)[C^* + H]_2|O
Where C* is adsorbed on the Fe surface. The reaction is sustainable without the presence of hydrogen [3]. Gaseous hydrogen reacts with O atoms deposited on the surface from the dissociation of CO and removes the O atoms as steam [4].
From atomic to continuum scale, the reaction characteristics have been studied widely using computer simulations of various approaches and have produced reliable results and predictions in agreement with relevant experiment results [5–9].
From an atomistic modelling perspective, the reaction between CO and Fe surface can be broken into two consecutive processes, adsorption and dissociation. Adsorption describes the process of a CO molecule getting attached to the Fe surface. During dissociation, this molecule decomposes into C and O adatoms directly at the surface, with the two atoms moving into their most stable adatom site. Adsorption of CO is a barrier-less exothermic process. Dissociation, on the other hand, is an endothermic process that requires breaking a C-O triple bond, displaying an 11.2 eV/molecule average dissociation energy in vacuum [10]. The catalytic effect of the metal surface plays therefore a crucial role for breaking this bond at a much lower energy [4]. Earlier density functional studies show that on Fe-110 surface, the CO dissociation barrier is close to 1.5 eV [8]. However, this energy is still high in order to achieve from thermal activation only. A number of experiments suggest that the temperature threshold for CO dissociation can be as low as 380 K [11]. Therefore, it can be assumed that in practice, the reaction pathway is more complex than it has been modelled in previous works [7, 8] and one has to take into account that the metal surface contains impurities and defects that could assist the dissociation process [12]. Furthermore, the interactions originating from the periodic boundary condition of the simulations must be evaluated and dealt with accordingly. Commonly, an unwanted interaction from periodic boundary condition can be minimized by choosing a large simulation box. However, large simulations are computationally expensive and therefore an efficient method should be developed that can describe the CO-Fe surface reaction accurately yet is sustainable regarding computational resources.
In this work, these challenges are addressed with a systematic study of the adsorption and dissociation of CO molecule on Fe surface, following further diffusion of C atom to subsurface and bulk using a multiscale technique combining atomistic density functional theory and empirical potential (EP) method. For atomistic scale study, we used density functional theory (DFT) with PBE-GGA pseudopotential technique implemented on the VASP code. Preliminary investigations on different low-index Fe surfaces confirm that the 110 surface is the most densely-packed surface and has the minimum structural reconstruction and minimum surface energy and is chosen as standard for our work. Hence we successfully reproduced CO adsorption energies, energy profiles for dissociation and subsurface diffusion of the C, in good agreement with results computed in earlier works [7, 8, 13, 14]. However, we have noticed that the periodic boundary condition applied to these simulation, which is also used to control the concentration of CO on the surface (coverage), has a significant effect on the energetics of these processes. The CO molecule has a strong dipole moment and it leads to van der Waals interaction between the molecules [15] adsorbed on the surface. Taking van der Waals interaction into consideration, adsorption energy studies on surfaces with CO fractional coverages of 0.25 and 0.0625 monolayers (ML) reveal that adsorption CO on 110 surface is energetically more favourable at dilute coverages. Most importantly we demonstrate here that the dissociation of CO also is energetically favourable in dilute surface as the energy barrier is reduced to half when the CO-coverage is reduced from 0.25 to 0.0625 ML [16].
Since one expects surface defects to be present on Fe surfaces and to act as corrosion initiator, here we show computationally using accurate electronic structure calculations that the single vacancy defects on the surface are energetically inexpensive and therefore prone to be naturally abundant. In fact, we find that vacancy defects lower the adsorption energy for CO molecules adsorbed next to a vacancy and allows the C atoms to diffuse to the subsurface layers through the cavity. As a result, the reaction path becomes more complex and in order to examine the role of defect in the carburization process, one must compare the pathway with the combined pathway of dissociation of CO on clean surface, and subsequent surface to subsurface diffusion of C. It is worth noting that in the previously published works on surface to subsurface diffusion of C, the O adatom, as a by-product of the dissociation reaction, is ignored and its effects not taken into account. We take the O adatom adsorbed on the surface into consideration in this work and we carried out electronic structure and charge density analysis. It is demonstrated here that the influence of the O adatom is quite significant: 1. The O atom does not directly bond with the Fe surface but due to its high electron affinity, electronic charge is transferred from the surface to the O atom via the Fe-C bond in order to facilitate the breaking of C-O bond. 2. A surface vacancy defect creates an electron deficit that restricts the C atom from forming strong covalent bonds with Fe atoms. Interestingly, even after the C-O bond is completely dissociated, the O atom influences the surface-to-subsurface diffusion of C. Calculation of surface-to subsurface diffusion paths with and without O adatom on the surface shows that in presence of O, the diffusion barrier is higher and the C penetration depth into Fe is lowered.
The dissociation and diffusion pathways discussed above were estimated using the nudged elastic band (NEB) method [18]. In order to find a transition state, the end-point (initial and final) configurations for the reaction are first fully relaxed with high precision. NEB uses an interpolated chain of intermediate configurations between the two end point configurations, connected by springs. The whole chain is then relaxed simultaneously with a fixed spring constant until the total average force minimizes under the tolerance limit of 0.01eV/Å. In this work, 8–16 intermediate configurations or images are considered, depending on the length of the path. It is evident that these calculations with DFT are extremely demanding regarding computational resource and therefore we need to anticipate the best possible dissociation/diffusion path with to minimize computation time. This issue is addressed by employing a combined empirical potentials (EP) – DFT technique where we employ the LAMMPS code, to pre-estimate possible minimum energy paths for dissociation and diffusion using NEB and from empirical Molecular dynamics simulations that are able to easily treat thousands of atoms thus increasing the length scales.
Starting with the converged set of configurations from this pre-estimated transition pathways using EP, DFT is used to obtain more precise results. With the use of a potential that has been extensively tested to yield results in agreement with DFT [17], the pre-estimate shortens the computational time significantly. For the calculation of the surface-to-subsurface diffusion path of C, this process has reduced the computation real-time from 33792 to 18464 CPU-hours, which is a 45% drop, still producing identical results within the tolerance of 0.01 eV. However, in order to predict a reliable pre-estimate the potential needs to be tested with DFT. The embedded atom method (EAM) potential used in this work by Becquart et al [18] is rigorously calibrated with several DFT-estimated parameters. Unfortunately, this potential represents only Fe-C systems and for surface calculation with CO, we must consider a potential representing a Fe-C-O system. For this purpose, we have also been characterizing a reactive force-field potential designed by van Duin et al [19], specifically for catalytic reaction on Fe. This potential is anticipated to be used in near future to provide a complete atomistic description of this reaction mechanism. Which efficient multiscale technique are you referring to?
In summary, the computational understanding gained in this study on the role of vacancy defects on dissociation of CO molecule, followed by subsurface diffusion of C, is beneficial for predicting the nature of the CO-Fe reaction for a practical scenario such as presence of larger vacancy defects on the surface and whether they act as dusting corrosion initiators. Simulation at different length and time scale are underway towards modelling physical and chemical phenomena governing the carburization of steel. Acknowledgement: The advanced computing facility of Texas A&M University at Qatar is used for all calculations. This work is supported by the Qatar National Research Fund (QNRF) through the National Priorities Research Program (NPRP 6-863-2-355).
References
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[2] J. R. Dunetz and D. Fandrick an H.-J. Federsel, Org. Process Res. Dev. 19, 1325 (2015).
[3] C. M Chun, J. D. Mumford and T. A. Ramanarayanan, J. Electrochem. Soc. 149, B348-B355 (2002).
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[6] Q. Zhang, B. Han, K. Heier, J. Li, J. Hoffman, M. Lin, S. Britton, A-D. Kovacs and H. Cheng, J. Phys. Chem C 116, 16522 (2012).
[7] S. Booyens, M. Bowker and D. J. Willock, Surf. Sci. 625, 69 (2014).
[8] D. Jiang and E. A. Carter, Surf. Sci. 570, 167 (2004).
[9] D. Johnsom and E. Carter, J. Phys. Chem 114, 4436 (2010).
[10] R. Sanderson, Polar Covalence, Acad. Press Inc. 1983.
[11] G. Wedler and H. Ruhmann, Surf. Sci. 121, 464 (1982).
[12] M. Elahifard, M. Jigato and J. Niemantsverdreit, Chem. Phys. Chem. 13, 89 (2012).
[13] D. Jiang and E. A. Carter, Phys. Rev. B. 71, 045402 (2005).
[14] A. Stibor, G. Kresse, A. Eichler and J. Hafner, Surf. Sci. 99, 507-510 (2002).
[15] J. J. Victor, B. K. Kimmich, J. C. van der Waal, J. H. Zink, V. Zuzaniuk, J. T. Chapman and L. Chen, Patent US 8461395 B2: Synthesis of acetaldehyde from a carbon source (2013).
[16] A. Chakrabarty, O. Bouhali, N. Mousseau, C. S. Becquart and F. El-Mellouhi, submitted to J. Comp. Sci. spl. conf. edn. (2015).
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[18] C. S. Becquart, J. M. Raulot, G. Bencteux, C. Domain, M. Perez, S. Garruchet and H. Nguyen, Comp. Mat. Sci. 40, 119 (2007).
[19] C. Zou and A. C. T. van Duin, JOM, 64, 1426 (2012).
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Electronic and Transport Properties of Transition Metal Dichalcogenidies in the Framework of the Complex Band Structure Analysis
Authors: Dominik Szczesniak, Ahmed Ennaoui and Said AhziIn recent years, novel two-dimensional (2D) materials have attracted much attention due to their unique properties and numerous possible applications [1]. In particular, one of the key domains that can be addressed with the 2D materials refers to the energy conversion and storage [2]. In this context, the novel monolayer group-VI B transition metal dichalcogenides (MX2, where M = Mo, W and X = S, Se, Te) are of special interest. Specifically, the MX2 monolayers are characterized by the high charge mobility [3] and direct electronic band gaps in the visible spectrum range [4], which allows their use in the low-dimensional tunneling transistors [3], [5], photodetectors [6], [7], or solar cells [8], [9].
In such electronic and optoelectronic applications, the electronic transport processes play a pivotal role. In particular, the functionality and efficiency of the low-dimensional systems are highly influenced by the quantum effects that forbid their investigation within the classical regime [10], [11]. From the theoretical point of view, the quantum transport phenomenon is usually described in the framework of the Landauer-Büttiker theory [12], [13], which relates the scattering theory to the quantum electronic conductance. In what follows, the central role in Landauer-Büttiker formalism is played by the transmission probabilities, familiar in the scattering theory, which can be expressed in the terms of the bulk solutions of the Schrodinger equation.
These bulk solutions of the Schrodinger equation incorporate both the propagating and evanescent electronic states that compose the so-called complex band structures (CBSs) of the solids. However, the importance of the CBSs is not only restricted to the quantum transport simulations, where they are used as a complete basis set of the electronic states for calculations. Notably, CBSs allow for capturing the properties of solids that are beyond the typical electronic band structure analysis, e.g. the surface states [14], [15], the localized edge states [16], [17] or decay characteristics of localized states [18], [19].
In the present communication we report the recent calculations of the CBSs of monolayer MX2 materials (where M = Mo, W and X = S, Se, Te) [20]. Herein, the basic electronic properties of MX2 systems are described by using the tight-binding (TB) model [21] which permits the spin-orbit coupling (SOC) effects. The adopted TB model allows describing the most important features of the MX2 systems, presenting at the same time predictive capabilities of more advanced theories. Next, the CBSs of MX2 materials are calculated from the developed nonlinear generalized eigenvalue problem (NGEP) method. The electronic states obtained from the NGEP method are characterized and classified due to their functional behavior in the momentum space. It is shown that the calculated CBSs strongly depend on the SOC interaction and present the band spin splitting of the electronic branches. Moreover, the complex loops, which describe the tunneling currents at the direct band gaps, are observed. Their characterization is given regarding the decay behavior of the corresponding evanescent states that create the complex loops. The discussion is supplemented by the analysis of the importance of CBSs in quantum transport calculations for MX2 monolayers, and by the perspectives for further research in this domain.
References
[1] A. C. Ferrari, F. Bonaccorso, V. Falko, K. S. Novoselov, S. Roche, P. Bøggild, S. Borini, F. Koppens, V. Palermo, N. Pugno, et al., Nanoscale 7, 4598 (2015).
[2] F. Bonaccorso, L. Colombo, G. Yu, M. Stoller, V. Tozzini, A. C. Ferrari, R. S. Ruoff, and V. Pellegrini, Science 347, 1246501 (2015).
[3] B. Radisavljevic, A. Radenovic, J. Brivio, V. Giacometti, and A. Kis, Nature Nanotechnol. 6,147 (2011).
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[6] J. S. Ross, P. Klement, A. M. Jones, N. J. Ghimire, J. Yan, D. G. Mandrus, T. Taniguchi, K. Watanabe, K. Kitamura, W. Yao, et al., Nature Nanotechnol. 9, 268 (2014).
[7] F. Koppens, T. Mueller, P. Avouris, A. C. Ferrari, M. S. Vitiello, and M. Polini, Nature Nanotechnol. 9, 780 (2014).
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[9] L. Britnell, R. M. Ribeiro, A. Eckmann, R. Jalil, B. D. Belle, A. Mishchenko, Y. J. Kim, R. V. Gorbachev, T. Georgiou, S. V. Morozov, et al., Science 340, 1311 (2013).
[10] D. Szczęśniak and A. Khater, Eur. Phys. J. B 85, 174 (2012).
[11] D. Szczęśniak, A. Khater, Z. Bąk, R. Szczęśniak, and M. Abou Ghantous, Nanoscale Res. Lett. 7, 616 (2012).
[12] R. Landauer, IBM J Res Dev 1, 223 (1957).
[13] M. Büttiker, Phys. Rev. Lett. 57, 1761 (1986).
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[18] J. K. Tomfohr and O. F. Sankey, Phys. Rev. B 65, 245105 (2002).
[19] C. Park, J. Ihm, and G. Kim, Phys. Rev. B 88, 045403 (2013).
[20] D. Szczęśniak, A. Ennaoui, S. Ahzi, to be published (2015).
[21] G. B. Liu, W. Y. Shan, Y. Yao, W. Yao, and D. Xiao, Phys. Rev. B 88, 085433 (2013).
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Photodegradation of Organic Pollutants Using an Efficient Molybdate Intercalated Mg 2+ /Fe 3+ Layered Double Hydroxide (LDH)
Authors: Syed Javaid Zaidi and Lagnamayee MohapatraOrganic pollutants dyes are the highly toxic major waste products causing severe harmful environmental pollution. From the viewpoint of environmental issues, the removal of harmful organic dye compounds is of great interest and importance1. Traditionally physical and biological methods are generally used to decompose many organic pollutants. However, these methods suffers from certain disadvantages and are time-consuming process. 2,3 Visible-light photocatalysis has been renewable “green” technologies which can harvest solar energy in the environmental remediation capable of removing harmful heavy organic contaminations4. This presentation is focused on the design of a novel kind of photocatalyst that cover entire solar spectrum i.e. from ultraviolet to infrared (IR) regions to decolorize and degrade the organic dye such as rhodamine 6G in an effective way.
Now a days, the use of layered double hydroxides (LDHs) as active photo-catalysts has been receiving considerable attention over the layered metal oxides. A number of photocatalysts have been reported for the photocatalytic degradation of organic pollutants. Among the new generation photocatalyst, LDH was very much promising material for pollutant degradation5. However, designing novel visible light active LDH catalysts to meet present technical requirements is a great challenge. Intercalation of different polyoxometalic anionic species into inorganic layered materials like layered double hydroxide (LDH) offers a technique in which altering the properties of the two components are combined into a single modified material. By intercalating different anions, the characteristics of the layered double hydroxide (LDH) can be improved. Layered double hydroxide basically called Hydrotalcite consist of a cationic brucite like sheets with anionic moieties in the interlayer through electrostatic interaction. The unique structure, surface hydroxyl groups, interlayer spaces with intercalated anions, swelling properties, oxo-bridged linkage and high chemical stability are some of the added advantages of this group of materials. To harvest solar energy efficiently a series of Mg/Fe Layered double hydroxide materials has been synthesized by hydrothermal method and modified by intercalating molybdate anion by ion exchange. These materials have been characterized by various techniques and tested for their photocatalytic activity for the pollutant removal.
The broad absorption band in case of Mg/Fe LDH was found due to the metal ligand charge transfer band of O2p →Fe3+ and the metal-metal-charge-transfer spectra of Mg2+-O-Fe3+. The metal to metal charge transfer (MMCT) for an oxo-bridged bimetallic system with different oxidation states was defined to be an excitation transition of an electron from one metal to the other, which is known to absorb visible light and even near-IR light. 6,7 In the case of Mg/Fe/Mo LDH, the absorption edge shifted towards near IR is due to the HOMO-LUMO OMCT of Interlayer Molybdate where the HOMO is mainly derived from the O 2p orbitals and the LUMO is from the Mo 4d orbitals. These materials show enhanced photoactivity for the degradation of organic dyes such as rhodamine 6G. The enhanced photoactivity is due to edge shared metal oxygen octahedron of (MO6) of brucite sheet, visible light absorbing species, low recombination of charge carriers’, metal-metal charge transfer spectra (MMCT) of the oxo-bridged bimetallic Mg2+-O-Fe3+ system, long life time of photogenerated charge carriers and HOMO–LUMO oxygen metal charge transfer spectra of intercalated Molybdate anions. These modified photo catalysts can be reused easily with several times without substantial loss of catalytic activity, which is green alternative material for practical applications for degradation of organic dyes like rhodamine 6G.
References
1. Yanlan Liu, Kelong Ai, and Lehui Lu, Chem. Rev., 2014, 114, 5057–5115.
2. Ana Ballesteros-Gómez, Soledad Rubio, Anal. Chem., 2011, 83, 4579–4613.
3. Ian L. Gunsolus and Christy L. Haynes, DOI: 10.1021/acs.analchem.5b04221.
4. Y. Takahashi, S. Kubuki, and T. Nishida, Green Catalysts for Energy Transformation and Emission Control, Chapter 4, 2014, 71–84.
5. K. J. Klabunde, Nanoscale Materials in Chemistry: Environmental Applications, Chapter 10, 2010, 179–189.
6. L. Mohapatra, K. Parida, M.Satpathy, J. Phys. Chem. C 2012, 116, 13063–13070.
7. L. Mohapatra, K. M. Parida, Phys. Chem. Chem. Phys., 2014, 16, 16985–16996.
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Ionic Liquids as Multi-purpose Inhibitors to avoid Natural Gas Hydrates during Gas Processing
Authors: Mohammad Tariq, Majeda Khraisheh and Mert AtilhanThe issue of hydrate formation during gas processing is a challenging problem for the oil and gas industries. Billions of dollars spent annually to get rid of the blockage of pipelines due to hydrate clogging by applying various methodologies [1]. Among them injecting chemical inhibitors is the most widely accepted solution; however, choosing a chemical is a difficult task which depends a lot on the gravity of the situation. Generally methanol, glycols and salts also know as thermodynamic inhibitors (THIs) are used which needs to be added in large quantities (50 wt% or above) making them expensive and non-environmental friendly. Also, because methanol is flammable there is always risk and cost associated to its storage. Currently, a new class of inhibitors (generally polymers and surfactants) known as low dosage hydrate inhibitors (LDHIs) are getting much attention which can be used in much less amount (1–3 wt% or less) making them economically and environmentally feasible [2]. Industries are always looking for chemicals which are economic, environmental friendly and have peculiar set of properties. Currently, ionic liquids (ILs) have attracted the attention due to their potential for fulfilling the industrial demands [3]. In this work, we have shown that how a slight variation in the structure of ammonium ILs result in peculiar behavior towards methane gas hydrates.
Five ionic liquids (ILs) belonging to the same ammonium family but structurally and functionally different were tested for their hydrate inhibition ability using a meso-scale rocking-rig apparatus. The first IL studied was tetra-methylammonium acetate (TMAA) which is very similar to a tetra-alkylammonium salt; well known hydrate inhibitors/promoters. The other four ILs belong to choline, also known as, substituted alkyl-ammonium family where one of the alkyl substitutions of TMA is replaced by hydroxy-ethyl functionality. The four choline ILs were attached to anions which are different in nature viz., butyrate and iso-butyrate are isomeric counterparts; whereas hexanoate and octanoate has a difference in the chain length. It has been shown in this work that any slight structural variation in the compound used for hydrate inhibition resulted in a unique behavior. The working concentration and pressure range are also some important factors. It has been shown that at 1 wt% and at higher pressures the Ch-Oct, Ch-But and TMAA act as hydrate promoters. Whereas, at 5 wt% in the whole experimental pressure range (40–120 bar) all the studied ILs act similarly as hydrate inhibitors with TMAA showing the best performance almost comparable to methanol at high pressure. Hydrate suppression temperatures were determined and the performance of individual IL has been discussed quantitatively. Molar hydrate dissociation enthalpies were calculated and their values were interpreted in the light of the thermodynamic inhibition results which indicate that the ILs do not participate in the hydrate cages. Induction time analysis shows that Ch-Oct due to its micelles forming ability acts as a strong kinetic inhibitor which delays the hydrate formation time by more than an hour. Thus, it must be emphasized that a slight structural variations in the structure of ILs reveals their doubly dual nature for methane hydrates system viz., thermodynamic inhibition, hydrate promoter, kinetic inhibition and surfactant character. Since, the used ILs are also biocompatible, non-toxic and biodegradable it make them an excellent alternative class of inhibitors compared to their conventional counterparts.
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The Effect of the Novel FeNiCoAlTa Shape Memory Alloy Treatments on its Corrosion Behavior When Used as a Pipe Coupler
Authors: Hanan Farhat, Ike Oguocha, Richard Evitts and Richard GriffinPipelines are used to transport natural gas and oil. The common way to join the pipes together is welding. Welded areas and heat affected zones have proven to be the weakest part of the pipeline, these areas are often exposed to the environment and as a consequence exhibit more cracks and failures than the rest of the pipe. Such failures lead to leaks of gases, oil, and process fluids that are harmful to the environment. In addition, leaks cause a production loss which is very costly. In the past decades, there have been various leaks that lead to fatalities and that resulted in major environmental impacts.
Shape memory alloys (SMAs), also known as smart alloys, are engineering materials that gained their name due to their unique capability of remembering the shape they had before deformation and returning to it. They undergo reversible solid-to-solid phase transformation (martensitic transformation) when a load, temperature or magnetic field is applied to them, and can recover their original shape if the external stimulus is removed. The most commercially available SMAs are nickel–titanium (Ni-Ti or Nitinol) alloys, which are used mostly in orthodontic and medical applications. These alloys are expensive, have limited temperature range of application, and are difficult to process for large scale applications. Due to these limitations, the current research interest has shifted towards developing new SMAs that are cheaper, exhibit a similar shape memory effect, and that are corrosion resistance.
Among the new SMAs competing with Ni-Ti smart alloys are iron-based SMAs (Fe-based SMAs). Since the discovery of the shape memory effect in Fe-30Mn-1Si in early 1980s, the Fe-based SMAs alloys have attracted the researcher's attention due to their low cost, good mechanical properties, high temperature range of application, workability and weldability. However, they exhibited relatively poor shape recovery which made it necessary to treat them using cycles of thermomechanical treatment known as ‘training’ to enhance their shape memory effect.
The Fe-based SMAs have shown a promising potential to be used as pipe couplers in oil and gas applications. Pipe couplers made from SMAs can be installed easily, and can be a good replacement for welding in pipes. Welding involves heat that affects the structure of the piping metal and the resulted heat affected zone usually possess a favorable location for failure and cracking. This has made Fe- based SMAs pipe couplers a better option due to their low cost and long-term reliability. The use of these alloys to join pipes is aimed to replace the welding process. The SMAs pipe couplers use the shape memory effect to apply a contact pressure onto the surface of the pipes to be coupled. Compared to currently available couplers that work by brazing, smart alloy couplers are easier to install, require lower installation temperatures, and have similar coupling capabilities. The seal is more temperature resistant than that provided by brazed couplers.
In this research, the corrosion resistance of the Novel FeNiCoAlTa (Fe-28%Ni-17%Co-11.5%Al-2.5%Ta) SMA that was developed by the National Aeronautics and Space Administration (NASA) was investigated for using as a pipe coupler. The effect of two different cycles of treatment on the alloy was investigated. In addition, the alloy's corrosion resistance was compared to the resistance of the most common SMA (Ni-Ti or Nitinol). The corrosion potential, polarization resistance and potentiodynamic polarization of the alloys were compared at different temperatures and different PHs. Moreover, the corrosion resistance of the alloy was compared to the resistance of different carbon steel, and stainless steels that are commonly used in oil and gas applications, when electrochemically tested in 3% NaCL solution. The research also investigated the galvanic corrosion of FeNiCoAlTa SMA when coupled to carbon steel and different types of stainless steels. It was found that even though increasing the treatment cycles improved the shape memory effect of the alloy, it reduced its corrosion resistance. One has to decide on whither to enhance the shape memory effect of a pipe coupler or to improve its corrosion resistance. Nevertheless, the alloy exhibited good corrosion resistance, even after increasing the cycles of the treatment showing that it could be a potential replacement to pipe welding.
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Machine Learning Techniques for Defect Depth Estimation in Oil and Gas Pipelines
Authors: Abduljalil Mohamed, Mohamed Salah Hamdi, Sofiene Tahar and Osman HasanCrude oil and natural gas are usually transmitted in metallic pipelines. These pipelines, in some cases extending for hundreds of kilometers, are inevitably exposed to harsh environment such as extreme temperature, internal pressure, corrosive chemicals, etc. Thus, at some point in their lifetime, metallic pipelines are highly expected to develop serious metal-loss defects such as corrosions, which, if left undetected and improperly managed, can cause catastrophic consequences in terms of both damaging the environment and loss of human life, not to mention millions of dollars as maintenance cost to be paid by the owning companies. To avoid such undesirable impacts, the oil and gas industry has recommended that pipeline monitoring and maintenance systems follow a standard safety procedure. The industry standard identifies three types of metal-loss defects, namely sever, moderate, and superficial, based on estimated dimensions of the defect. According to the standard procedure, a defect's depth plays a major role in determining its severity level.
To detect a metal-loss defect and estimate its depth, autonomous devices, equipped with strong magnets and arrays of magnetic sensors, are used on a regular and constant basis to scan the walls of the targeted pipelines, utilizing a well-established technology known as magnetic flux leakage (MFL). The principal concept behind the MFL technology is that when magnetized with two magnets of opposite polarities, a pipeline wall constitutes a magnetic field, in which lines of magnetic force flow through the wall (from the south pole to the north pole). In the presence of a defect, such as a crack, two new poles appear at the edges of the crack. The air gap between the new edges causes the magnetic lines of force to bulge out. The defect depths can be accurately estimated from the amplitudes of the observed MFL signals. However, due to the huge amount of obtained MFL data, manual and visual inspection of such data has proven to be time-consuming, tedious, inefficient, and error prone. Moreover, the cause-and-effect relationship between pipe defects and the shapes of MFL signals is not well-understood, meaning that traditional mathematical models are not available. Therefore, machine learning techniques seem very suitable for managing big data for ill-posed problems such as pipeline defects. Machine learning is a generic term for the “artificial” creation of knowledge from experience. An artificial system learns from examples and is able, after completion of the learning phase, to generalize, i.e., the system does not just memorize the examples, but it “detects” regularities in the learning data. In this, way the system can also evaluate unknown data. Machine learning techniques are applied in a wide range of fields such as automated diagnostic methods, detection of credit card fraud, stock market analysis, classification of nucleotide sequences, voice and text recognition, autonomous systems, etc.
In this work, we propose a machine learning-based approach for defect depth estimation in oil and gas pipelines. To reduce data dimensionality, representative and discriminant features were first extracted from the MFL signals; this in turn, resulted in speeding up the learning process and increasing the new approach performance in terms of estimation accuracy. Statistical methods, as well as polynomial series, were used to extract such meaningful features from 1353 data samples, and in total, 33 features were obtained. The data were organized as follows: 70% for training, 15% for testing, and 15% for validation. The features were fed into a Generalized Regression Neural Network (GRNN), a Radial Basis Neural Network (RBNN), and a decision tree. With the exception of the decision tree technique, both neural network-based techniques achieved a superior performance in terms of defect depth estimation accuracy compared to those obtained by service providers such as GE and ROSEN. For the GRNN, the estimation accuracies obtained are 87%, 81%, and 83% for the training, testing, and validation data, respectively (see Fig. 1 (a)). For the RBNN, the estimation accuracies obtained are 89%, 84%, and 85% for the training, testing, and validation data, respectively (see Fig. 1 (b)). The estimation accuracy obtained by GE is 80% within ± 10 of error-tolerance, and the estimation accuracy obtained by ROSEN is 80% within ± 15 of error-tolerance. The decision tree yielded the worst performance with estimation accuracy at 75% within ± 10 of error-tolerance.
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Determining the Threshold Temperature for Chloride Stress Corrosion Cracking Using a Laboratory Simulation of Field Conditions in Qatar
Authors: Hanan Farhat, John Agcaoili, Jim Fox and Daniel MercierVery few oil & gas installation locations around the world experience sustained high humidity and high temperature for long periods of the year as what is experienced in Qatar. For example, the humidity in Qatar readily reaches 90% and the summer temperature, measured on metal surfaces, can reach 80 °C. The severe temperature fluctuations causes seawater to evaporate, then condense, and then dry on hot metal surfaces, thereby enhancing local build-up of aggressive species such as chloride on the metal surfaces. In some situations, this is complicated by sand storms which leave contaminating sand particles on exposed surfaces in this environment.
Qatar has many oil and gas (upstream), petrochemical and chemical plants (downstream) in both offshore and onshore marine locations. For chloride stress corrosion cracking to take place, three important ingredients have to exist: (i) a critical environment, (ii) a susceptible material and (iii) tensile stress. All these three ingredients exist in Qatar onshore and offshore sites. The presence of residual tensile stresses due to welding or other forming process or fit up stresses from assembly increases the susceptibility of the component to CSCC. Chloride stress corrosion cracking can occur fast when evaporation exists even at room temperature. A number of catastrophic CSCC failures of stainless steels roof construction in swimming pool environments has resulted in human causalities over the past decades. Due to the nature of the local environment and the abundance of stainless steel used in Qatari installations the investigation of chloride stress corrosion cracking (CSCC) of stainless steel alloys is very much warranted.
The critical temperature for application of protective coating to prevent CSCC is still to be identified with any certainty. According to NORSOK standard M-001 recommendations, the maximum operating temperature for 316 stainless steel is 60 °C, and for duplex stainless steels is 100 °C, above which, protective coating has to be applied to prevent CSCC. These temperature limits are being questioned and there are concerns being raised about their accuracy when field evidence shows that cracking is occurring at temperatures below these limits. CSCC can lead to oil and gas leaks that have a major impact on the environment and on public safety as well as production loss.
In this research, a modified ISO drop evaporation test was developed to identify the threshold temperature for cracking for three different austenitic stainless steels, mainly 316, 304 and 904L stainless steels. The samples are prone to load and heat, while Qatar specific seawater is dripped on them, the samples are heated using electrical resistant heating. The test is conducted at four different temperatures (room temperature, 40 °C, 50 °C and 60 °C) and under three different loads (70% σ = < /AσΣETHιγηλιγητ>0.2, 80% σ = < /AσΣETHιγηλιγητ>0.2 and 90% σ = < /AσΣETHιγηλιγητ>0.2). The temperature and load are continuously monitored and adjusted when deviated. The lab-built test setup enabled the testing of sixteen parallel fixtures concurrently. The threshold temperature for cracking for the tested material was recorded at each applied load. Severe pitting was observed underneath the salt layer, and was dependent on the applied load. A new threshold temperature for cracking was recorded and a recommendation to the local industry to revise the threshold temperature for chloride stress corrosion cracking is to be issued.
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Recycling Roads by Rejuvenating Oxidized Asphalt Binder for Sustainable Transport Infrastructures
Authors: Filippo Giustozzi and Maurizio CrispinoThe use of Reclaimed Asphalt Pavement (RAP) material is widespread although the overall amount in the mix and the plant technology vary for each country. Reusing RAP allows for potential benefits due to less material consumption and possible energy savings although the benefit greatly varies depending upon the technology adopted for recycling (hot, warm, or cold asphalt recycled mixes) and material performance during the service life. Performance of recycled asphalt, among several other factors, is strongly related to the binder characteristics which presents himself in a oxidized state due to weathering effects (UV radiation, humidity) and load-related distresses accumulated over the service life.
The present research investigates the use of bio-rejuvenators to recover 100% cold RAP mix and evaluates its possible recycle as a construction material for new transport infrastructures. In particular, the rejuvenated asphalt binder was analyzed through several laboratory experimentations including: standard physical tests, rheology tests in the in-service temperature domain, fatigue resistance, and rutting potential as well as chemical characterization through infrared spectroscopy (FTIR). A multi-approach assessment was indeed found to be essential to comprehensively evaluate the “new” performance of the recycled binder. The Pressure Aging Vessel (PAV) was also adopted to simulate the in-service aging of the rejuvenated binder according to the standards and the multi-approach testing was again adopted to analyze the properties of rejuvenated binder after aging. This allowed characterizing the potential and durability of the “second-life” asphalt.
Asphalt binder was extracted from RAP material following the standard centrifuge extraction and solvent recovery procedure. Preliminary analyses were conducted on the extracted oxidized binder (control binder) and the following was shown, as expected: very low penetration (5.4 dmm); very high softening point (72 °C) and dynamic viscosity; great stiffness and low phase angle value at high temperature (Dynamic Shear Rheometer - DSR analysis); brittle behavior at low temperature (Bending Beam Rheometer – BBR analysis); poor fatigue resistance (linear amplitude DSR test) regardless of the testing temperature but good resistance to rutting (multiple stress creep recovery DSR test) at high and very high temperatures; solid gel structure (microscope imaging analysis) and consequently reduced maltene phase (FTIR analysis).
Several quantities of rejuvenator were cold added to 100% RAP mix and the same binder extraction process was performed. Besides the common quantity of rejuvenator-final performance approach, the rejuvenated binder was also evaluated by taking into account the contact time, which represented the time since the rejuvenator was applied to the oxidized binder, and the relative humidity of the RAP before mixing. It was found indeed that rejuvenators commonly have a differential effect depending on the “curing” time, therefore changing the physical, rheological and chemical properties of rejuvenated binder over time. Relative humidity of RAP material, essential on a plant scale where RAP is commonly open-air stored, was proved to affect with lower magnitude the properties of rejuvenated binder.
The amount of rejuvenator greatly affected the final binder performance; in particular, a greater content helps in improving physical and rheological characteristics in the low-temperature domain. Fatigue damage of the binder was increased (compared to oxidized RAP binder without rejuvenator) regardless of the rejuvenator content but resistance to rutting was reduced. However, the correct proportion of rejuvenator amount depending on RAP humidity and contact time allowed for an acceptable balance of performance in the overall temperature domain. Infrared spectroscopy analysis showed the evolution of carbonyl, sulfoxide and other bands in the rejuvenated asphalt binder.
The adoption of rejuvenators can be considered as an optimal way to improve the recycling of RAP and therefore increasing the amount of recycled material to be included into asphalt mixes without lowering performance and durability; this will allow for substantial environmental savings leading the way towards sustainable transport infrastructures. However, rejuvenators should be always carefully calibrated depending upon the in-service climate conditions of the recycled pavement as well as the initial RAP condition to provide the maximum benefit.
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LLDPE/Graphene Nano-composites: Synthesis and Characterization
The development of nano-composite materials is making a significant impact on modern technology due to their wide range of applications and their superior properties1. Several methods have been proposed and developed to prepare polymer nano-composites. Graphene nano-composites, in particular, have attracted the interest of researchers because of their excellent properties, such as high electrical conductivity, high thermal stability and excellent mechanical strength 2–3. Graphene, a two-dimensional carbon atoms structure, exhibits exceptional properties4–5. Incorporating these nano-fillers with high performance polymers results in a unique combinations of properties.
This paper reports on the synthesis and characterization of graphene and LLDPE (Linear Low Density Polyethylene)/graphene nano-composites with different weight ratios of graphene. Graphene was synthesized from graphene oxide, which was prepared by using modified hammers method. The obtained few layers of graphene were confirmed by different characterization methods such as FTIR, XRD, Raman spectroscopy and SEM. LLDPE/Graphene composites at different weight ratios of graphene, i.e. 1, 4, and 8 wt% were compounded in twin screw extruder. Extruded granules of LLDPE/Graphene materials were used in the preparation of nano-composites by compression molding. In this research, we used the LLDPE as the polymer matrix, because PE (polyethylene) is one of the most common plastic resins in the world and it is produced on a large scale in the State of Qatar by Qatar Petrochemical Company (QAPCO). LLDPE has grown most rapidly within the PE family due to its good balance of mechanical properties and process-ability compared to other types of PE. The effect of graphene ratio on the mechanical, thermal and electrical properties were investigated. LLDPE/Graphene composites with 4% graphene showed higher tensile strength and tensile modulus than the other graphene loading composites. Agglomeration was a problem in the composites with high wt% of the graphene which caused the reduction in tensile properties. Graphene marginally increased the melting temperature of the nano-composites whereas crystallization temperature, thermal stability and electrical conductivity were increased with increase of graphene loading. The results obtained showed that the graphene can increase the thermal stability of the polymer mixture. Increment of thermal stability is due to the high thermal stability of the graphene and the formation of phonon and charge carrier networks in the matrix. The electrical conductivity of LLDPE is 4.28 × 10− 11 and for nano composites is 9.2 × 10− 05. The high electrical conductivity of the graphene converts the LLDPE polymer insulator to an electrical conductor. Electrically conductive PE based composite materials can be used as electron magnetic-reflective materials, as well as in high voltage cables. The enhancement in mechanical, thermal and electrical properties of LLDPE/Graphene nano-composites achieved by melt mixing of graphene into the polymer can enable mass production of new and low cost novel materials with superior tensile strength, thermal stability and electrical conductivity.
References
1. Gossard Didier, Karkri Mustapha, Mariam A. AlMaadeed, Igor Krupa A new experimental device and inverse method to characterize thermal properties of composite phase change materials. Compos. Struct. 2015,133(1), 1149–1159.
2. X. Huang, Z. Yin, S. Wu, X. Qi, Q. He, Q. Zhang, Q. Yan, F. Boey, H. Zhang. Graphene based materials: synthesis, characterization, properties and application. Smal. 2011, 18, 1876–1902.
3. J.R. Potts, D.R. Dreyer, C.W. Bielawski, R.S. Ruoff. Graphene based polymer nanocomposites. Polymer 2011, 52, 5–25.
4. T. Kulia, S. Bhadra, D. Yao, N.H. Kim, S. Bose, J.H. Lee. Recent advances in graphene based polymer composites. Prog. Polym. Sci. 2010, 35, 1350–1375.
5. Du J, Cheng HM. The Fabrication, Properties and Uses of Graphene/Polymer Composites. Macromolecular Chemistry and Physics 2012;213:1060–1077.
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Effect of High Resolution Winds on Wind-Wave Simulations in Arabian Gulf
Authors: Sashikant Nayak, B.S Sandeepan and Vijay PanchangReliable knowledge of wave climate in a large water body such as in the Arabian Gulf for navigation, recreational, maintenance and installation of offshore-infrastructure (e.g. oil platforms) etc. is an important pre-requisite.
Predicting waves in a region like Arabian Gulf, which is approximately 1000 km in length (north to south) and 550 km in width and shallower (average water depth is ∼35 m) requires a well-developed wave model that can account for the shallow water wave mechanisms like their generation, propagation and dissipation. Wave models like SWAN (Simulating WAves Nearshore), WAM (WAve Model) and WAVEWATCH are now routinely run in several parts of the world for predicting and forecasting the ocean waves. Among these, SWAN wave model has been found to be a better model for the shallower and coastal environments.
The quality of wave hind-casts/forecasts made, largely depends on the quality of wind fields (speed and direction) that are feed into these models. For hind-cast, these wind fields can be obtained from observational measurements or reanalysis data from centers such as ECMWF (European Center for Medium Range Weather Forecast), NCEP (National Center for Environmental Prediction). For forecast, the wind fields are obtained from global weather forecast models that are routinely run in centers like ECMWF, NCEP or running weather forecasting models such as WRF (Weather Research Forecasting models) regionally. Further the resolution of wind fields both temporally and spatially affects the quality of wave prediction. For Arabian Gulf, the spatial and temporal resolution of wind fields requires finer resolution than the available reanalysis/forecasts data from NCEP (∼0.5°) or ECMWF ERA-interim (∼ 0.72°).
This study reports on the setting up of SWAN wave model and the improvement in wave modeling by using two sources of surface winds viz. from ECMWF ERA-Interim daily and from a meso-scale high resolution atmospheric model, WRF. Two types of bathymetry are also taken into consideration for running the SWAN wave model. One using a regular bathymetry grid (∼1’, ETOPO1 from NGDC) and the other one using an unstructured mesh bathymetry (for the same ETOPO 1). The advantage of unstructured grid over the regular grid is that it accounts much better for the complex coastal boundaries and islands in the region of interest. Initially, the simulation is carried out for the month of October, 2015. The presence of mesoscale locally convective phenomena's such as land-sea breeze are dominant in a water body like Arabian Gulf. Era Interim reanalysis datasets considered to be the best available wind sources misses these features (because of low resolution) and in turn when used as forcing to the wave models, may result in predicting less accurate wave fields, mostly the directions which in turn effect the non-linear interaction of waves and distribution of energy. The high resolution, mesoscale atmospheric model WRF modeled winds clearly reflects these mesoscale phenomena's and upon forcing to wave model reflects a more accurate wave fields. It is also found that the waves coming from Arabian Sea doesn't impact much in the evolution of waves in Arabian Gulf. The reason may be, their dissipation of energy traveling through the narrowness of Strait of Hormuz. The results are compared with the available buoy data from Qatar Meteorological Department (web portal). Simulated significant wave height (SWH) are also compared with the Satellite SWH's for the same period.
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A Numerical Weather Forecasting System for Qatar
Authors: BS Sandeepan, Sashikant Nayak and Vijay PanchangUnderstanding the features of weather system around and over the Arabian Gulf is a prerequisite for setting up of a numerical weather forecasting system. The reanalysis, ERA-Interim data with a spatial resolution of ∼80 km has been utilized for analyzing the wind climatology for a period of 35 year. It is found that in the Arabian Gulf, throughout the year, the predominant wind is from north-west and the average wind speed is high in the summer between June and August. The high wind speed systems in summer are known as summer Shamals and have a typical duration of one week. Often, the high speed and long duration of the Summer Shamals makes it a good carrier of sand/dust. The winter season is dominated by south-east passage of frontal systems. The presence of land-sea contrast can cause mesoscale wind systems such as land-sea breeze. Qatar being a narrow peninsular region with width less than 100 km, the setting up of these land-sea breeze systems can be from either of the sides. This can lead to the interaction of two sea breezes from opposite sides, which may lead to the development of a convergence zone. This complex systems can affect the local weather and air-quality of coastal areas. These mesoscale phenomena and complexities are not well represented through a global model. Though the low resolution (80 km) data (ERA-interim) shows the presence of Shamal winds, the data misses the detail structure and their spatial variability. This necessitates for setting up of a high resolution mesoscale simulation approach.
A non-hydrostatic mesoscale model, Weather Research and Forecast (WRF) developed by NCAR (Skamarok et al 2008) is used here for simulating and forecasting the wind systems associated with the Arabian Gulf. The model is run on an operational basis to forecast the wind fields, for a 48 hr. The modeling suite consists of a preprocessor, WPS, the model, WRF and a post processor, ARWpsot. The total suite has been compiled and installed successfully using FORTRAN and C compilers. A two way nested WRF domains with a grid size ratio of 1:3 is configured. The resolutions for the outer domain and inner domain are set to 9 km, and 3 km respectively. Various physical parametrization schemes are available within WRF modelling system. The physical parameterization schemes used in the current configuration includes MYJ boundary layer parametrization, Janjic Eta Monin–Obukhov surface layer scheme, Dudhia shortwave radiation, Rapid Radiative Transfer Model (RRTM) long wave radiation, WRF Single-Moment 6-Class (WSM6) microphysics, and the NOAH land surface scheme. Cumulus scheme, Grell is used only for the outer domain. Both of the model domains have a total of 39 vertical levels, with the topmost level at 50 hPa and lowermost level at approximately 30 m above the ground level. The initial and boundary conditions are obtained from the National Centers for Environmental Prediction's (NCEP) Global forecast System (GFS) available at resolution 0.50 (∼50 km), and the boundary conditions are updated at 6 hr interval. The entire process is automatized and run on RAAD Linux HPC cluster computing system.
A two day simulation of WRF is analyzed and the sea breeze system of Qatar peninsula is examined and compared with the automatic weather station (AWS) data of Qatar Meteorological Department. The time of onset and duration of sea breeze are identified. The simulation of WRF clearly shows the development of a thermal internal boundary layer over the coastal city Doha. The existence of a convergence zone with high vertical updraft was also found. This may be due to the interaction of sea breezes coming from opposite sides of Qatar peninsula. Understanding the system of sea breeze would benefit the overall understanding pollutant transport and the dispersion mechanisms.
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Flexible Integration of EVs and PVs into the Electricity Grid
Authors: Mladen Kezunovic and Haitham Abu-RubWith the unexpectedly fluctuating price of oil and the increasing threat of global climate change, Electric Vehicles (EVs) and renewable energy, particularly photovoltaic (PV) generation are becoming a viable option since they are not directly affected by the unstable oil price and yet are environmentally friendly.
The PV generation has attracted attention in the “Solar Belt” countries, especially in Qatar where annual mean of global solar radiation (around 2000 kWh/m2/year) is large. The ample roof space on large residential and commercial buildings in Qatar and ability of the PV panel covers to protect vehicles from the exposure to sunshine makes the use of PV generation a natural choice.
When connected to the grid, EV battery can behave as mobile energy storage making EV capable of either charging via grid-to-vehicle (G2V) as a “load” or discharging via vehicle-to-grid (V2G) or vehicle-to-building (V2B) as a “generator” or a dispatchable “back-up storage”. This bi-directional power flow feature provides flexibility needed to match variability of the renewable sources. The integration of electric vehicles and PV generation achieves two goals: a) it displaces the urban tailpipe pollution to the location where the power plants are, which typically in rural areas, and b) it allows energy storage when solar generation is active, which is mostly during the day, and discharging during the night, which allows better control of the generation variability.
The objective of this paper is to discuss the methodology and technology needed to coordinate EVs' charging and PV-based generation in order to improve the performance of electric grid and at the same time reduce the environmental pollution. The paper focuses on three issues: a) integration of photovoltaic (PV) generation and EV charging stations through DC or AC bus, b) interfacing the DC or AC bus to the power system using advanced power electronics, and c) analysis of the impacts of the PVs and EVs on the power grid operation. The integration and interfacing will be optimized to support several utility applications: demand side management, outage management and asset management.
The different modes of interfacing and integrating EVs and PVs into the grid are defined under different scenarios. As an example, the demand side management analysis scenarios under different power grid conditions are shown in Figs. 1 and 2. When power grid demand is low, and the valley filling is needed, EVs can be put into charging via G2V mode and combined with PV generation to keep the power balance between supply and demand, as shown in Fig. 1. When power grid suffers from the peak load and load shaving is needed, EVs can be turned to V2G mode, and combined with PV generation can be utilized to help relieve the demand burden, as shown in Fig. 2. A local battery storage may be used to store the extra power generated from PV or abundant energy from the EV battery to act as the grid interface. The potential impact of EV charging/discharging on the power grid demand profile is simulated. How the grid performance will be improved when PV generation is taken into consideration is investigated. With the interfacing of EV energy storage and PV generation, more energy will be available for flexible control to help grid flatten the demand curve and reduce the peak load. Based on the comparison and analysis, the integration and interfacing of EVs and PVs are coordinated to support the demand side management application.
Proper power electronic solutions allowing bidirectional power flow with fast charging/discharging is also presented. The approach is toward finding optimal solutions in terms of decreasing the time of charging/discharging and adhering to the international standards related to grid side power quality issues. Many high-frequency AC link inverters have been proposed to realize such interface system in the past. One topology is considered promising. It has a bi-directional power flow feature. The inverter operates by first charging the link from the input and then discharging the stored energy to the output. The link inductor (L) stores the energy and the small capacitor (C) placed in parallel with (L) provides the soft switching. Between each power transfer mode there is a resonant mode at which the link inductor and capacitor resonate and no power is transferred. Despite its merits of having a small inductance size, and flexible multiport feature, this converter has two main drawbacks: a) High filtering needs especially at the input terminals, and b) Poor voltage boosting capabilities. These drawbacks are overcome in our proposed novel configuration shown in Fig. 3. Quasi-Z-Source Inverters (qZSIs) have many attractive advantages that are suitable for applying in PV systems and batteries. The use of qZSIs for this configuration has the following good features:
- Higher boosting capabilities.
- Lower harmonic content in input current.
- No filtering requirements at the input terminals.
- Features lower component (capacitor) rating.
On the other hand, a one more power switch (S0) is added to allow bidirectional flow-in case of battery discharging.
According to the battery state of charge, the PV available output power, and the grid availability, the following power flow schemes are possible:
I. When PV is online:
- 1. From PV to Grid, while Battery is offline.
- 2. From PV to (Grid + Battery).
- 3. From (PV + Grid) to Battery.
- 4. From (PV + Battery) to Grid.
II. When PV is offline:
- 5. From Grid to Battery.
- 6. From Battery to Grid.
In case of outage of the power grid, the schemes will be directed to be as follows:
I. When PV is online:
- 7. From PV to local loads, while Battery is offline.
- 8. From PV to (local loads+ Battery).
- 9. From (PV + Battery) to local loads.
II. When PV is offline:
- 10. From Battery to local loads.
The analysis of the impact of EVs and PVs on outage management includes establishing the simulation model of the typical outage condition profile, simulating the performance of PV generation to cover the interrupted load and establishing coordination methodology to make the best use of the energy from PVs and EVs. The analysis of the impact on asset management includes establishing the simulation model of the typical asset management process for existing utility assets, simulating the impact of bidirectional flow due to PV generation, and mitigation of negative asset effects such as overloading due to EV charging and establishing coordination algorithm for minimizing the overall impact of the integration of PV and EV. Evaluation of how transformer maintenance can be optimized under the new operating modes will be discussed.
The results of the study will not only benefit the placement planning for EV charging stations and roof top PV installations to better utilize the electric grid resources, but will also benefit the power grid operation especially the distribution system creating positive environmental impacts paving the road for future large-scale integration of the smart grid flexible load technology in Qatar.
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Microbial Mats from the Khor Al-Adaid Sabkha, Qatar: Morphotypes and Association with Authigenic Minerals
The sabkhas (i.e., salt flats) of Qatar are among the rare places on Earth where carbonate and sulfate minerals similar to those constituting economically important hydrocarbon reservoirs are still forming today, under the arid conditions that characterize the coastline of the country. Since the 1960’s, the sabkhas of Qatar have been studied with great interest as a modern analogue for ancient sedimentary sequences (e.g., Wells, 1962; Illing & Taylor, 1995; Alsharhan & Kendall, 2003). The results of these studies provided important insights for formulating stratigraphic models of subsurface hydrocarbon reservoirs. Notable examples of gas and oil reservoirs that formed in arid, evaporitic environments include the Permo-Triassic Khuff (which is estimated to contain about 15–20% of the world's gas reserves and is of fundamental importance for the economy of Qatar), the Jurassic Arab formations, and the Triassic Kurra Chine, all of the Middle East, and the Permian Zechstein of Northern Europe. Although extremely valuable, most of these early studies were based on purely physical and chemical approaches, which may have not fully captured the complexity of the mineralization processes occurring in the sabkha environment. Indeed, research conducted in more recent years has shown that microorganisms play an important and, as yet, poorly understood role for the mineralization processes occurring in these evaporitic environments (Bontognali et al., 2010; Bontognali et al., 2012; Bontognali et al., 2014; Brauchli et al., 2015; Paulo & Dittrich, 2013; Strohmenger et al., 2011).
Here we present the results of a field campaign conducted in the Khor Al-Adaid sabkha, which is located in the southeast of Qatar, in a large tidal embayment composed of two shallow inland lagoons. The main goal of the field campaign was to identify regions of the intertidal zone that are particularly rich in microbial mats, and that represent ideal sites at which to study microbe-mineral interactions. Three sites of interest have been defined.
Site 1 is characterized by the presence of microbial mats that develop in a restricted pond where abundant precipitation of gypsum takes place. This site is an ideal place to look for geochemical or mineralogical signatures of microbes in the gypsum crystals. This, in turn, may allow for the definition of new proxies for identification of microbially-mediated gypsum in ancient sedimentary sequences. Because gypsum and anhydrite are common seals of hydrocarbon reservoirs, a broad understanding of the mechanism of their formation is of unquestioned interest in the field of hydrocarbon exploration.
Site 2 is characterized by the presence of thick (more than 5 cm) microbial mats. Spherical authigenic carbonate minerals are visibly forming in association with the extracellular polymeric substances constituting these mats. X-ray diffraction analyses revealed that dolomite is among the carbonate minerals forming at this site. Thus, the mats will be studied with the goal of providing new insights helpful in solving the long-standing enigma surrounding the origin of sedimentary dolomite. Dolomite is a common mineral in ancient sedimentary sequences (including many hydrocarbon reservoirs) but historically it has been very difficult to form in laboratory experiments that simulate Earth's surface conditions. For this reason, the mechanism of its formation remains highly debated. It has been proposed that microorganisms play a key role for overcoming the kinetic barriers that prevent dolomite formation at low temperature (Vasconcelos et al., 1995). Because this “microbial hypothesis” is not unanimously accepted, the mats present at site 2 represent an ideal material to study for better understanding and further demonstration of the existence of this biomineralization process.
Site 3 is characterized by the presence of well-layered, domical microbial mats. Gas is produced in abundance within the mats, which likely influences pore-water chemistry and might, in turn, influence the rate and the type of mineral precipitation.
Work is currently in progress to characterize the microbial diversity of the three sites through “next generation sequencing” methods, as well as characterization of the mineralogy and the isotopic composition of the carbonate and gypsum forming within the microbial mats. The ultimate goal is the better understanding of what role microbes play in the formation of ancient evaporitic sequences.
References
Alsharhan, A. S., and Kendall, C. G. S. C., 2003, Holocene coastal carbonates and evaporites of the southern Arabian Gulf and their ancient analogues: Earth-Science Reviews, v. 61, no. 3–4, p. 191–243.
Brauchli, M., McKenzie, J.A., Strohmenger, C.J., Sadooni, F., Vasconcelos, C., Bontognali, T.R.R., 2015. The importance of microbial mats for dolomite formation in the Dohat Faishakh sabkha, Qatar. Carbonates and Evaporates, p. 1–7.
Bontognali, T. R. R., Vasconcelos, C., Warthmann, R. J., Bernasconi, S. M., Dupraz, C., Strohmenger, C. J., and McKenzie, J. A., 2010, Dolomite formation within microbial mats in the coastal sabkha of Abu Dhabi (United Arab Emirates): Sedimentology, v. 57, no. 3, p. 824–844.
Bontognali, T. R. R., Vasconcelos, C., Warthmann, R.J., Lundberg, R., McKenzie, J.A., 2012. Dolomite-mediating bacterium isolated from the sabkha of Abu Dhabi (UAE). Terra Nova 24, 248–254.
Bontognali, T. R. R., McKenzie, J. A., Warthmann, R. J., and Vasconcelos, C., 2013, Microbially influenced formation of Mg-calcite and Ca-dolomite in the presence of exopolymeric substances produced by sulfate-reducing bacteria: Terra Nova, p. 1–6.
Illing, L. V., and Taylor, J. C. M., 1993, Penecontemporaneous dolomitization in Sabkha Faishakh, Qatar; evidence from changes in the chemistry of the interstitial brines: Journal of Sedimentray Research, v. 63, no. 6, p. 1042–1048.
Paulo, C., and Dittrich, M., 2013, 2D Raman spectroscopy study of dolomite and cyanobacterial extracellular polymeric substances from Khor Al-Adaid sabkha (Qatar): Journal of Raman Spectroscopy, v. 44, no. 11, p. 1563–1569.
Strohmenger, C. J., Shebl, H., Al-Mansoori, A., Al-Mehsin, K., Al-Jeelani, O., Al-Hoseni, I., Al-Shamry, A., and Al-Baker, S., 2011, Facies stacking patterns in a modern arid environment: a casa study of the Abu Dhabi sabkha in the vicinity of Al-Qanatir Island, United Arab Emirates, in Kendall, C. G. S. C., and Alsharhan, A. S., eds., Quaternary carbonate and evaporite sedimentary facies and their ancient analogues: A Tribute to Douglas James Shearman, Volume 43: Chichester, West Sussex, UK, Wiley-Blackwell, p. 149–182.
Vasconcelos, C., McKenzie, J. A., Bernasconi, S., Grujic, D., and Tiens, A. J., 1995, Microbial mediation as a possible mechanism for natural dolomite formation at low temperatures: Nature, v. 377, no. 6546, p. 220–222.
Wells, A. J., 1962, Recent Dolomite in the Persian Gulf: Nature, v. 194, no. 4825, p. 274–275.
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Novel Nanoparticle Doped Nanofiltration (NF) Polymeric Membranes for Ions and Heavy Metal Removal for Drinking Water and Water Desalination
Authors: Inshad Yousef Jum'H and Ahmad TelfahAvailability of clean water is one of the most urgent challenges for our societies. Practically, all water sources around the world are polluted to some degree due to a heavy influx of industrial effluents and domestic and agricultural wastes discharged into water sources.
Membrane technology has gained significant attention in the water treatment, because of its advantages such as cost effective, no phase change, easy fabrication and high removal efficiency. One of the most important environmental issues today is water contamination with heavy metals, due to their strong toxicity even at low concentrations. Heavy metals exist in water in colloidal, particulate and dissolved phases, and their occurrence in water is either of natural origin (e.g. eroded minerals within sediments and leaching of ore deposits) or of human origin.
Polymeric membrane filtration such as Nanofiltration are commonly used membrane process in heavy metals removal and multivalent and monovalent ions.
Hence, we have developing a low cost and high efficiency polymeric NF membrane. The commercial/conventional NF polymeric membrane development is moving in the direction of improving the cross-linking chemical bonds, optimizing the effective porosity, and searching for better polymer groups.
Most NF membranes are charged, and hence, they have a higher rejection to multivalent ions (heavy metals) than to monovalent ions; therefore, selective partition of ions is possible through electrostatic interaction. However, for heavy metal removal to lower ppm values, the surface charge of the desired polymeric membrane has to be enhanced. Our new innovative idea is to increase the surface charge of the NF polymeric membrane; with this improvement we add a new dimension of enhancement to the NF polymers. We have doped NF polymeric membranes with selectively metallic nanoparticles, which will be actively driven and oriented with respect to the surface vector of the membrane and its pores and then therefore the surface charge of the membrane will be significantly enhanced, the effective surface area and the pores sizes will be increased due to hydrophopic interactions between the coated magnetic nanoparticles and the heavy metal ions removal through adsorption in addition to the traditional steric effect and Donnan exclusion. As a consequence consequently the overall process of heavy metal removal will be significantly improved in every direction, which will directly affect the filtration quality, efficiency and the cost.
We have prepared the NF polymer chemically, the doping process with the selective metallic nanoparticles performed with the help of a selective electromagnetic pulse sequence. Characterisation with dedicated analytics based on analytical tools such as X-ray photo-emission spectroscopy (XPS), scanning electron microscopy (SEM), attenuated total reflection infrared spectroscopy (ATR-FTIR) and atomic force microscopy (AFM) showed an evidence of noticeable increase in surface charge, surface roughness and density of porosity. XPS measurements revealed that nanoparticles are bonded to the polymer strand forming vibrating polymeric nano-chains. As a sequence, the obtained NF polymeric membrane is a novel material with enhanced intrinsic properties for monovalent, multivalent ions and heavy metal removal, which is expected to have significant influence in developing filtration and treatment membrane for drinking and ultra-grade water as well as for water desalination.
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