2^nd International Conference on Advances in Chemical Engineering & Technology November 16-17, 2017 Paris, France (Hotel Novotel Marne la Vallée Noisy le Grand)

Biography:

Over 40 years’ experience in Engineering/ Consulting Management at senior level in Process Engineering, Technology, Business Development, Licensing, Acquisitions, Alliances and Project Management and Engineering, Operations Management and Process Engineering. Provided proven leadership and vision with broader perspectives and able to manage multiple tasks and personnel on mega projects.

Patents provide refiners and petrochemical plants innovations to enhance the performance of the units. Worked in all EU countries including UK, Germany, The Netherland.  Major developments in Oil and gas business, downstream and petrochemicals technology, Catalysts,  international alliance,  licensing & contract negotiation, technology marketing, new technology commercial launch, partner relations.

Dr Amarjit Bakshi has a Ph.D and also undergraduate degree  both in Chemical  Engineering from University of Surrey, Guildford, UK

Abstract:

Advances in Biofuel technology:  RHT-ETBE and RHT-TAEE are the Smart configuration technologies to enhance the conversion to over 97 to 90 percent respectively by having multiple side draws from the columns, and one can much better quality also than competitive technologies. The major advantage in these processes is that it allows wet ethanol to be use in the process and still meeting TBA and TAA specifications in the product. Essentially process is rejecting the water from wet ethanol and makes high quality Ethers at low Capex and Opex to the competitive processes. RHT- Biodiesel process is optimized to produce biodiesel from palm oil, Rape seed oil, vegetable and animal product that are all fatty acids with even number of carbon atom typically 12 to 22 atoms. This biodiesel is comparable to hydrocarbon diesel. The triglycerides are reacted with methanol/ ethanol or higher alcohol which all produce biodiesel in the acceptable boiling range. Methanol is most commonly used for the biodiesel production as being the cheapest alcohol, hence provides better economics. After the transesterfication reaction the product, methyl esters of those oils /fats as product and glycerine is produced as a byproduct. Glycerine is separated from the methyl esters of vegetable oils that are the biodiesel by phase separation by gravity settling due to density differences. The methyl esters and glycerine are purified to meet the product specifications. The technology is able to provide that reaction also to meet high overall conversions and selectivity at low Capex and Opex without producing any liquid waste.

Biography:

Stéphanie D. Lambert (SL) is a FRS‐FNRS research associate and an associate professor in the Department of Chemical Engineering (DCE) of the University of Liege (Belgium) since 2009. She obtained her Ph.D. in Applied Sciences in 2003. After an engineer position in a Belgian chemical company (Nanocyl) (2004‐2005), and two postdoctoral stays at the DCE of the University of Illinois at Chicago in 2006, and at the Institute Charles Gerhardt in Montpellier in 2007, she joined the team “Nanomaterials, Catalysis, Electrochemistry” of the University of Liege, in which she develops heterogeneous catalysts for sustainable chemistry (tars reforming, treatments of chlorinated compounds, photocatalysis,..). She is vice‐chair of the DCE since early 2016. SL has published over 75 publications, 12 book chapters, holds 1 patent and has an h‐index of 18. She also received 14 Invited lectures. She is Member of Local Organizing Committee of SOL-GEL 2017, 3-8 septembre 2017, Liege, Belgium.

Abstract:

The thermochemical method called “biomass gasification” is generating emphatic interest for the production of bio-Syngas (CO+H₂) since this process presents the advantage of being renewable without emitting CO₂. However, in practical applications, there are still some technical problems due to high concentration of tars in the outlet gas, which can condensate and clog the pipes. Previous studies have highlighted the fact that the tar elimination via catalytic reforming seem to be the more practical and economical solution.

Catalysts were synthesized by an aqueous sol-gel process to develop γ-Al₂O₃ doped with 10wt.% of nickel and 2 wt.% of a second dopant (Co, Cu, Fe, Mn, Mo). Before their adding in AlOOH sol, metallic dopants were complexed with (OCH₃)₃-Si-(CH₂)₃-NH-(CH₂)₂-NH₂ (EDAS) to increase their dispersion by cogelation between EDAS and AlOOH clusters.

All the samples were tested for toluene reforming: 31 vol.% CO, 31 vol.% H₂, 15,5 vol.% CO₂, 11 vol.% H₂O, 9 vol.% CH₄ and 24.000 ppm of toluene. The total flowrate was equal to 50 mL min-1. The temperature was set at 650°C for 300 min. No previous reduction step has been realized. Each 15 min, injection was sent to a GC Compac for analysis.

Figure 1 presents the toluene conversion as a function of benzene selectivity and as a function of carbon deposit after catalytic test for all the samples. For samples Al₂O₃-10Ni-2Mn and Al₂O₃-10Ni-2Mo, the addition of Mn or Mo allows increasing the toluene conversion up to 60%, whereas all other samples present lower toluene conversion (around 30%). Taking into account the benzene selectivity, it is observed that Mn and Mo are both elements that favor the degradation of aromatic groups. In term of carbon deposit during catalytic test, sample Al₂O₃-10Ni-2Mn is the most interesting doping since only 0.04 gcarbon gcata-1 is depicted by TG-DSC measurement after catalytic test.

Figure 1: Toluene conversion as a function of the benzene selectivity and carbon deposit amount for all catalysts.

Biography:

Dr. Alhseinat is currently an Assistant Professor of Chemical Engineering at Khalifa University. Prior to join Khalifa University, Dr. Alhseinat completed his PhD from the University of Edinburgh. Then he worked in Abu Dhabi Petroleum Institute as Research and Teaching Associate; where he was heavily involved in research activity, writing and preparing scientific proposals and presentations, and publishing scientific articles. His current research activities address the development of novel separation processes compatible with renewable energy i.e. Magnetic nanoparticles, Electrical and Magnetic separation technologies, Foaming predication and monitoring, thermodynamics modelling and thermophysical properties characterization, Desalination and Water treatment, and Fouling science.

Abstract:

Comprehensive experimental work has been carried out to investigate the foaming behavior of aqueous Methyldiethanolamine (MDEA) in presence of twenty different contaminates including degradation products i.e. N,N,N-tris-(hydroxyethyl) ethylenediamine (THEED), hydroxyethyl ethylenediamine (HEED), N,N/-bis-(hydroxyethyl) piperazine (bHEP), N,N-bis-(2-hydroxyethyl) glycine (bicine), organic acids, and liquid organics. This foaming study was combined with physical characterization of the tested solution to enhance the understanding of the foaming behavior. The foaming tendency of aqueous MDEA solution was reported in terms of foam volume. Foam stability was reported on the basis of the time required for the last bubble to break. The results of this study showed that each contaminate has influenced the foaming behavior either by changing the foam volume or breaking time or both.  However, it has been noticed that whatever is the added contaminates to the amine solution it drags the physical properties of the amine to a point where the foaming behavior will be changed.  For example, in case of THEED and HEED, the addition of these degradation products increased the foam tendency and stability of the solution as a result of increasing solution viscosity; higher bulk viscosity retards the foam collapse caused by gravity drainage. It is believed that the bottleneck of predicating the foam behavior of any solution would be the predication and monitoring of its physical properties behavior and interaction. We are working now to develop the understating of the interaction between the physical properties and their combined effect on the foaming behavior of the amine solution; this will lead to a breakthrough in foaming monitoring and prediction. Mathematical models on tendency and stability of foaming are presented in this paper to explain the effect of physical properties on foam volume and breaking time of aqueous MDEA solutions.

Fig. 1. Effect of time of foaming on foam volume for 0.1 wt. % BHCL with 50 wt. % MDEA solution at 100 ml/min.

Biography:

Sinan YAPICI has his expertise in convective heat and mass transfer, electrodialysis applications and adsorption. He worked on electrochemical mass transfer in limiting current conditions, methods of enhancing convective heat and mass transfer, and adsorption of heavy metals, and applications of electrodialysis for synthesis of some inorganic acid and bases. He has got his PhD form Exeter university in UK, and has been lecturing in the university for more than 25 years. 

Abstract:

In this study, a four-compartment bipolar membrane electrodialysis process was applied to produce ammonium hydroxide, sodium hydroxide and hydrochloric acid from an aqueous salt solution consisted of ammonium chloride and sodium chloride mixture. One of the most effective parameters in this sort of systems is the initial salt concentration. The purpose of this work is to study the effects of the initial ammonium chloride and sodium chloride concentration on the produced amount of hydrochloric acid, ammonium hydroxide and sodium hydroxide, the product-based salt conversion, the ion mass fluxes transferred through the membranes. The ratio of NH₄CI/NaCI was kept constant and the initial values of NH₄CI/NaCI ranged between 10/5 and 120/60 g/L. The other working conditions was maintained constant at the temperature of 25^oC, electrolyte flow rates of 10 L/h, at the potential difference of 10 V and the  initial acid and base concentration of 0.4 M. The experiments showed that the mass flux of the ions for the initial salt concentrations up to 40/20 (NH₄CI/NaCI) g/L, first increased, and then started to decrease after reaching at a maximum. Above this value, the mass flux values decreased with time, having almost a constant value for a while and then continued to decrease again. These behaviour shows that the initial salt concentration has an important effect on the mass flux of ions, that is, the rate of the process. The conversion ratios up to a value of %70 was attained at the lowest initial salt concentration in a quite short processing time in about 100 minutes. As the salt concentration increased, the conversion reduced down below %50 for the highest salt concentration in a longer period of 480 minutes, showing the initial salt concentration has an important effect on conversion ratio. The consumed energy decreased with increasing initial salt concentration, from 2.22 to1.18 kWatt∙h/kg converted salt.

Acknowledgement: Thanks to TUBITAK for its support for this work with the project no: 115Y342

Figure 1. Change of conversion with initial salt concentration.

Biography:

Jozsef Kupai focuses on the synthesis of enantioselective catalysts bearing cinchona alkaloid moieties. His research group applies cinchona-thioureas and squaramides in Michael additions with excellent yields and enantioselectivities. It was necessary to find different methods for the recovery of these catalysts to reach their sustainable application. Therefore, immobilization of cinchonas to different solid supports were achieved. On this conference, he will demonstrate size enlarging methods of cinchona catalysts to make them appropriate for recovery by OSN technique.

Abstract:

Organocatalysis, in which organic molecules catalyze single or multiple chemical transformations, has emerged as an efficient solution for the rapid and stereoselective synthesis of enantiomerically enriched molecules. Due to the many advantages of organocatalysis compared to conventional metal catalysis, organocatalytic methodologies have become an attractive synthetic tool in asymmetric catalysis.

Cinchona alkaloids and their derivatives have proven to be powerful organocatalysts owing to their reactivities, leading to high enantioselectivities. The presence of tunable functional groups enables cinchona alkaloids to catalyze a broad range of chemical reactions. Chiral thioureas and squaramides are promising classes of cinchona-based organocatalysts. Based on non-covalent interactions they behave as very efficient, directional hydrogen-bond donors.

Nowadays more and more attention is paid to protect our environment, and catalyst recovery can be a useful tool to reach this goal. Organic solvent nanofiltration (OSN) is an emerging technology that allows separation of solutes between 50 and 2000 g•mol-1 via pressure gradient in organic media. Attaching cinchona moieties to β-cyclodextrins (see Figure 1.) seems to be an effective way to reach convenient organocatalysts with high MW, leading to easy separation of the catalyst from the reaction mixture.

New β-cyclodextrin-cinchona thiourea and squaramide organocatalysts were prepared starting from commercially available β-cyclodextrin and hydroquinine. These bifunctional organocatalysts were applied successfully (up to 95% yield and 99% e.e.) in asymmetric Michael additions between 1,3-dioxo compounds and β-nitrostyrene.

After the enantioselective reactions, separation of the products and the CD-based catalysts were carried out applying the OSN method with high efficiency resulting in a green and sustainable organocatalytic method.

This work was supported by the Hungarian Scientific Research Fund/National Research, Development and Innovation Office [OTKA 112289, PD108462].

Figure 1. General structure of the new cyclodextrin-cinchona organocatalyst family.

Biography:

José Angel Loredo-Medrano is a professor and researcher at the Autonomous University of Nuevo Leon in the Department of Chemical Engineering. He is active in the areas of process simulation and transportation phenomena. It belongs to several civil and academic associations.

Abstract:

The present work aims to establish and solve a model to predict the dissolution of the coffee beans to know the best time and concentration of solvent at room temperature. The mathematical model is based on the mass transport and chemical reaction phenomena considering the option of core in shrinkage and solved by applying the technique of orthogonal placement. The dissolution of more than 80% of the residual coffee grain in sulfuric acid at 60 ° C has been achieved. In order to make the process green, tests have been carried out with green solvents at room temperature, preferably looking for the starch. This is part of a research group project in which residual coffee grains are already used to remove heavy metals from wastewater. This new branch of the project seeks to obtain residues that allow totally clean energy and no residue from the dissolution process. The resolution of the model will allow to know the processes of dissolution, the distribution of products and predict the effect in the operating conditions. Each species is represented by a mass balance in which species diffusion and dissolution kinetics are included, the boundary conditions are: at the center of the particle the flow is zero and at the surface of the particle the convection from the surface to the bulk. To represent the shrinkage of the grain is represented the decrease of the radius with a total balance.

Biography:

Jaron Hansen is a Professor of Chemistry and Biochemistry at Brigham Young University (Provo, Utah, USA) and co-founder of Verde and Anaerobic Digestion Technologies (AD Tec).  His research involves improving the understanding of atmospheric and environmental chemical processes through focused laboratory, field and computational studies as well as the development of improved anaerobic digestion methods for enhanced production of biogas and for degradation of hazardous pollutants.     

Abstract:

Without pretreatment, anaerobic digestion of lignocellulosic biomass typically converts only one-third of the carbon into biogas which is typically only 60% methane. Physical and chemical pretreatments to increase biogas production from biomass have proven to be uneconomical. The anaerobic thermophile, Caldicellulosiruptor bescii, has been shown to be capable of solubilizing up to 90% of lignocellulose, thus making the carbon accessible for anaerobic digestion. Preliminary experiments show C. bescii is capable of solubilizing a wide range of lignocellulosic materials. Anaerobic digestion readily and rapidly converts the soluble products into biogas with 70-80% methane. Isothermal biomicrocalorimetry measurements have provided a thermodynamic understanding of the process. We have applied the pretreatment-anaerobic digestion process to giant king grass and found the biogas yield significantly improved. Biomass Energy Solutions Technology, BEST, is currently collecting data on the pretreatment process with C. bescii and engineering system prototypes to prove feasibility for scale-up to megawatt facilities.

Biography:

Dr. Conly Hansen has completed his PhD in Agricultural Engineering from The Ohio State University and joined as a Project Engineer for United States Army (discharged as Captain). At present, he is working as a Professor and Graduate Program Director at Center for Profitable Uses of Agricultural Byproducts, USA. He has published more than 56 research articles in reputed journals along with 6 book chapters; and presented more than 38 presentations with abstracts in national/international conference/symposia. He has around 14 significant honors on his name.                            

Abstract:

Lignocellulosic biomass is the most abundantly available raw material on the Earth for the production of biofuels. The conversion of lignocellulose into renewable energy and more valuable chemicals has been limited. Several methods for increasing the conversion of lignocellulose into biogas by pretreating the feedstock have been developed, but all of the existing methods have large economic penalties, e.g. disposal of toxic wastes and greatly increased capital and operating costs. The discovery and characterization of Caldicellulosiruptor microbes, extremophilic organisms capable of solubilizing lignocellulose, suggested a possible solution to the economic problem of pretreatment. For example, researchers (Blumer-Schuette et al., 2014) have found that up to 90% of the biomass in switchgrass could be solubilized by C. bescii, thus providing proof of concept.

Beginning in 2014, recognizing the potential for anaerobic digestion of lignocellulose for biogas production, a multidisciplinary team including a biochemist, chemist, microbiologist and agricultural engineer, from Brigham Young and Utah State Universities has been conducting experiments to determine if we could break down other lignocellulose feedstocks for later anaerobic digestion. Our experimental results have been very encouraging in providing proof of concept that anaerobic digestion of lignocellulose, something that has never been done in a commercially viable way, may be both possible and attainable. However, the commercialization and scaling up of lab experiments is not simply a process of buying bigger tanks but requires cross-discipline expertise in order to overcome the inevitable differences between 20-1000 mL lab experimentation and a multiple m3 system. This presentation will report the results of work we have done to take the process from the lab to the market; the hurdles to scaling and commercializing the anaerobic digestion of lignocellulose in an economically viable way.

Biography:

Kenji Abe is an employee of Japanese company, Ajinomoto Co., Inc.. He has his expertise in industrial fermentation technology and biotechnology.

Abstract:

Fermentative production of useful compounds, such as alcohols, gases, pharmaceutical ingredients, and organic/amino acids, is conducted worldwide. Escherichia coli is one of the most useful bacterium for the production of valuable compounds, such as amino acids and organic acids,  because E. coli cells grow quickly, convert substrates to products rapidly, and are genetically engineered readily. For example, L-lysine, which is used as a feed additive worldwide, is produced on the scale of approximately 1,500,000 metric tons per year.

On the other hand, in the industrial production of useful compounds by fermentation, glucose is one of the most frequently used carbon sources. Industrial glucose feedstock prepared by enzymatic digestion of starch typically contains significant amounts of disaccharides such as maltose and isomaltose, and trisaccharides such as maltotriose and panose. Maltose and maltosaccharides can be utilized in Escherichia coli fermentation using industrial glucose feedstock because there is an intrinsic assimilation pathway for these sugars. However, saccharides that contain α-1,6 bonds, such as isomaltose and panose, are still present after fermentation because there is no metabolic pathway for these sugars. To facilitate more efficient utilization of glucose feedstock, we introduced glvA, which encodes phospho-α-glucosidase, and glvC, which encodes a subunit of the phosphoenolpyruvate-dependent maltose phosphotransferase system (PTS) of Bacillus subtilis, into E. coli. The heterologous expression of glvA and glvC conferred upon the recombinant the ability to assimilate isomaltose and panose. The recombinant E. coli assimilated not only other disaccharides but also trisaccharides, including alcohol forms of these saccharides, such as isomaltitol. To the best of our knowledge, this is the first report to show the involvement of the microbial PTS in the assimilation of trisaccharides. Furthermore, we demonstrated that an L-lysine-producing E. coli harboring glvA and glvC converted isomaltose and panose to L-lysine efficiently. These findings are expected to be beneficial for industrial fermentation.

Figure 1. Schematic illustaration of GlvAC pathway for assimilation of isomaltose (iMal) and panose (Pan).

Biography:

Over 40 year’s experience in Engineering/ Consulting Management at senior level in Process Engineering, Technology, Business Development, Licensing, Acquisitions, Alliances and Project Management and Engineering, Operations Management and Process Engineering. Provided proven leadership and vision with broader perspectives and able to manage multiple tasks and personnel on mega projects.

Patents provide refiners and petrochemical plants innovations to enhance the performance of the units. Worked in all EU countries including UK, Germany, The Netherland.  Major developments in Oil and gas business, downstream and petrochemicals technology, Catalysts,  international alliance,  licensing & contract negotiation, technology marketing, new technology commercial launch, partner relations.

Dr Amarjit Bakshi has a Ph.D and also undergraduate degree  both in Chemical  Engineering from University of Surrey, Guildford, UK

Abstract:

Advances in Alkylation Technology:   With The invent of RHT-Alkylation, sulfuric acid alkylation process configuration and equipment, provides multiple paradigm shifts and breakthroughs in the technology but keeping same reaction chemistry. The breakthroughs reduce the Capex and Opex in region of 40 to 50% compared to convential technology; this is not just improvements but major paradigm shift. The process uses a unique eductor-mixing device, which reduce the costs and maintenance requirements on stream factor with simple equipment. The unit uses classical coalescers for separating the acid and hydrocarbon from the contactor/reactor effluent, making it a dry process that simplifies the process by reducing equipment items, corrosion and cost. Additionally major breakthrough is in absorbing the auto refrigeration vapors in  reactor effluent. This reduce the requirement for compressor saving 20 % Capex and 50 % of power requirements and operating costs. These are major benefits to the refining industry and should be embraced by the industry to make the competitiveness of the unit. RHT-Isooctene/iso-octane process provides major economics advantages with simple and smart configuration which enhances the yield and reduces the equipment sizes and utilities. Advances simplify the technology and provide economy of scale.

Biography:

Dr. Mohammad A. AlKazimi is a Senior Reliability and Equipment Support Engineer at Kuwait Oil Company in Kuwait. He holds a Bachelor degree in Mechanical Engineering and a Masters degree in Industrial Engineering; both earned at the University of Toledo in Ohio, United States. As part of professional development program by the oil sector in Kuwait, he was one of the first of employees to be selected to peruse his higher degree. He joined the petroleum engineering program in Missouri University of Science and Technology.  During his course of studies, he earned his Masters degree in Petroleum Engineering, as well as certificates in Safety Engineering, Leadership in Engineering Organizations, and Project Management, respectively. Dr. AlKazimi holds a PhD in Petroleum Engineering with focus area in Risk Assessment and Mitigation in the Petroleum Industry.

Abstract:

The concept of augmented reality is not new, yet, did get its fair share of success not until recently.  In the summer of 2016, Pokémon go took over the world by literally moving people off of their couches and into the street and neighbourhood to capture virtual creatures via their mobile devices.

Although different industries have been implementing augmented reality as part of their business such technology into their business, yet the oil and gas industry remains well shy from considering it for a try-out. 

This presentation addressed how augmented reality can be a game changer in the oil and gas industry, especially in knowledge transfer, and technical training of the newly joined engineers, operators, and technicians, respectively.  In fact, and via the usage of handheld devices, site maintenance and operations can instantly view the repair manuals or any related information, such as operating historical data, and any related information.  Operator, on the other hand, can survey their equipment and generate service requests in case of any abnormalities in performance. Applying advanced technology into our industry shall revolutionize the work environment and creates new levels of competition in quality of workmanship.

Biography:

Ali Shaeri has a PhD in Process Design Engineer. He is expert in the Refinery’s Process Units Simulation, Process Equipment Design, and Refinery Units Operation. He is teaching related courses at the university as well. On the other hand, He is expert in the optimization, new method of mini-refinery design and related pilot plant design additionally. He is working in the National Iranian Oil Engineering & Construction Co. from 11 years. He obtained B.S. degree in Process Design Engineering in 2002, M.Sc. degree in Process Design Engineering in 2006 and PhD degree in Process Design Engineering in 2016.Since then he joined Process Specialty Committee and permanent member of Iranian Petroleum Standard from 2007 to present. He is the first designer of Mini Refinery in Iran and head of Process Department for Petroleum Desalting Project. He has to his credit more than 10 Technical Reports and proposals related to Process Design, as well as, 30 publications including papers in referred journals, books and conferences papers.

Abstract:

A Feed forward and multilayer Perceptron Artificial Neural Network (ANN) with back propagation algorithm was applied for optimization of Delayed Coking Unit (DCU). To this aim, one year of operating conditions were gathered from Distributed Control System (DCS) and laboratory data. Then all data were evaluated by experienced operators to determine the most effective operating condition. Conradson Carbon Residue (CCR), asphaltenes content and Feed API were selected for input of the ANN and the output was set to be maximum products yield. The inputs of neural network data are distributed for training, validation and testing sets in 60%, 20% and 20% ratios, respectively. A three-layer ANN was adopted to predict products yield in terms of aforementioned inputs. To find the best fitted ANN structure, several structures (around 1576) were examined. Here, a total of four combinations of transfer functions were tested against various training functions available in the MATLAB software. Only the random order incremental training with learning functions (TRAINR) and the Levenberg–Marquardt (TRAINLM) training functions were found to predict significantly accurate results. It was found out that the best structure had 4, 6 and 1 neuron for the first, second and third layer, respectively. Furthermore, logsig, logsig and purelin were found the best transfer function for first, second and third layer. The best model was extracted and the obtained data were applied to the live DCU with the capacity of 90000 bbl d-1. Transfer functions are generally assigned to a network layer to first process the input signal, followed by the calculation of suitable weight for the output signal such that the relations of the data set can be identified. According to many structures which can be used in ANN, an optimization method using correlation coefficient (R) was recommended to optimize the number of neurons and transfer function types. The results showed that the selected model could be exactly matched with the DCU.

Biography:

Ali Shaeri has a PhD in Process Design Engineer. He is expert in the Refinery’s Process Units Simulation, Process Equipment Design, and Refinery Units Operation. He is teaching related courses at the university as well. On the other hand, He is expert in the optimization, new method of mini-refinery design and related pilot plant design additionally. He is working in the National Iranian Oil Engineering & Construction Co. from 11 years. He obtained B.S. degree in Process Design Engineering in 2002, M.Sc. degree in Process Design Engineering in 2006 and PhD degree in Process Design Engineering in 2016.Since then he joined Process Specialty Committee and permanent member of Iranian Petroleum Standard from 2007 to present. He is the first designer of Mini Refinery in Iran and head of Process Department for Petroleum Desalting Project. He has to his credit more than 10 Technical Reports and proposals related to Process Design, as well as, 30 publications including papers in referred journals, books and conferences papers. 

Abstract:

Detailed operating condition were gathered from a live CCR unit (Lab. And DCS) for two years. The most significant parameters were selected by both simulation and experience. To increase RON, ANFIS models were designed and applied obtained results to the live CCR unit with the capacity of 30000 bbl day^-1. The R² and MSE of the proposed model were 0.92583 and 0.1424, respectively. It was found in the optimum operation conditions, the value of reformate product was 25714 bbl day^-1.Obtained data from ANFIS for Feed final boiling point (FBP) , Recycle gas flow rate (RGF) , Reactor inlet temperature (RIT) , Coke percentage on catalyst  (CPC), Catalyst circulation and H₂ to HC mole ratio(H₂/HC) were 165C,24.2tonhr^-1,527C,2.42wt%,987.24kghr^-1 and 2.82, respectively .Applying the ANFIS data resulted in an increase of RON amount, from 99 to 99.7, which can be addressed significant in terms of the unit economy. In addition, it was observed that about 640bblday^-1 saved in the gasoline pool of the refinery.

Biography:

Ali Shaeri has a PhD in Process Design Engineer. He is expert in the Refinery’s Process Units Simulation, Process Equipment Design, and Refinery Units Operation. He is teaching related courses at the university as well. On the other hand, He is expert in the optimization, new method of mini-refinery design and related pilot plant design additionally. He is working in the National Iranian Oil Engineering & Construction Co. from 11 years. He obtained B.S. degree in Process Design Engineering in 2002, M.Sc. degree in Process Design Engineering in 2006 and PhD degree in Process Design Engineering in 2016.Since then he joined Process Specialty Committee and permanent member of Iranian Petroleum Standard from 2007 to present. He is the first designer of Mini Refinery in Iran and head of Process Department for Petroleum Desalting Project. He has to his credit more than 10 Technical Reports and proposals related to Process Design, as well as, 30 publications including papers in referred journals, books and conferences papers. 

Abstract:

Detailed operating condition were gathered from a live CCR unit (Lab. And DCS) for two years. The most significant parameters were selected by both simulation and experience. To increase RON, ANFIS models were designed and applied obtained results to the live CCR unit with the capacity of 30000 bbl day^-1. The R² and MSE of the proposed model were 0.92583 and 0.1424, respectively. It was found in the optimum operation conditions, the value of reformate product was 25714 bbl day^-1.Obtained data from ANFIS for Feed final boiling point (FBP) , Recycle gas flow rate (RGF) , Reactor inlet temperature (RIT) , Coke percentage on catalyst  (CPC), Catalyst circulation and H₂ to HC mole ratio(H₂/HC) were 165C,24.2tonhr^-1,527C,2.42wt%,987.24kghr^-1 and 2.82, respectively .Applying the ANFIS data resulted in an increase of RON amount, from 99 to 99.7, which can be addressed significant in terms of the unit economy. In addition, it was observed that about 640bblday^-1 saved in the gasoline pool of the refinery.

Biography:

Valentina Busini has her expertise in safety engineering and bioengineering. In particular, with regard to industrial safety, she usually works on the analysis of the consequences of industrial events related to emerging risks, such as the CFD modeling of heavy gas dispersion in complex environments, and the definition of methodologies for the evaluation of industrial accidents triggered by natural events (the so-called NaTech events). As far as bioengineering is concerned, she has focused on the interactions between materials and biomolecules, both for biocompatibility studies and for the development of protein separation processes.

Abstract:

Statement of the Problem: Runaway reactions have always been a serious issue for the chemical industry. Failures that may lead to this type of accident may be different: block of the impeller, loss of the reactor temperature control, error in the loading of reagents. The rapid detection of this phenomena is crucial. One of the most widely used preventive systems is the so-called early warning system, which allows to give an early warning at the beginning of the fugitive reaction. Due to non-homogeneity of the temperature inside the reactor, the positioning of the sensors is of crucial importance. In fact, an incorrect localization of the temperature probe could lead to a false alarm, which would undermine the early warning system. The objective of this work is the computational fluid dynamic (CFD) simulation of different failure scenarios, in order to determine the best location of the temperature sensors. Methodology & Theoretical Orientation: For this work a semi-batch reactor was used to simulate an accident in a pilot scale reactor.  An impeller fault and a reagent loading error has been investigated in CFD using a new kinetic model for liquid reactions, implemented in ANSYS Fluent. Findings: Differently from what is present in the literature, CFD results show that depending on the incident considered, the best position for the thermocouple varies within the reactor. For the impeller fault the best position is in the upper region of the reactor, while for the loading error accident the best position is always in the proximity of the reagent mass. Conclusion & Significance: The simulations performed show the usefulness of CFD in analyzing these kind of problems and that there is no unique positioning of thermocouples which would be optimal to early-detect every runaway scenario. Here rises the importance of redundant measurements in a reactor.

Biography:

Lali  Gurchumelia, Chemist, Doctor of Technical Sciences,  works at TSU Rafael Agladze Institute of Inorganic Chemistry and   Electrochemistry  (Georgia). Scope of scientific interests: chemical science, chemical engineering, ecological engineering, ecological biotechnology. She has 55 publications, including in the impact factor Journals -10. The last 10 years she has participated in 5 scientific grants. Currently she is a manager of the grant  # 216770 -   “ New type fire-extinguishing powders and foam-suspensions based on local mineral raw materials “  funded by the National Science Foundation.She has also participated in many international conferences and congresses:  Nürnberg, Germany;   Toledo, Spain;   New Forest, UK; Montreal, Canada;   Istanbul, Turkey;  Elenite Holiday Village, Bulgaria; Yerevan-Vanadzor;  Tbilisi, Georgia and  Ureki, Georgia. I have many years of experience in the study and evaluation of fire–extinguishing and  fire- protective materials.

Abstract:

Fires are unsolved problems of world civilization. No less dangerous are the cases of population chocking and poisoning by fire, which is caused, mainly, by combustion products as well as by toxicity of using safety precautions. Therefore, the world faces the problem of fire localization, liquidation and development of such safety precautions, which will provide inhibition of burning of matter in the zone of inflammation and decrease of toxic materials emission. The use of fire-extinguishing and fire-protective means, occur topical among the mentioned measures. Unfortunately, the statistics confirms, that traditional fire-extinguishing and fire-protective materials, are sufficiently expensive, not universal, neither eco-safe and less efficient. Therefore, at present one of the most important problems is the elaboration of non-halogen, eco-safe fire-extinguishing and fire-protective materials.

In our work we describe the ways of development of technology for production of novel, halogen-free, eco-safe, highly efficient, universal fire-extinguishing powders based on local mineral raw materials and elaboration of new types, eco-safe fire-protective materials on the basis of such fire-extinguishing powders. The technology for production of these materials differs from the serial production technology. Fire-extinguishing powders we made by mechanical blending of local mineral raw materials, do not require modification with expensive, halogen-inclusive hydrofobizative additives, what makes the extinguishing materials far cheaper than imported analogues. Experimental data confirm that such powders are characterized by high inhibition properties and fire-extinguishing ability. Here it should be noted, that obtained powders similarly to inert flame retardants, don’t participate in the process of polymer preparation, and in contrast to them are characterized by high operating properties. Therefore, fire-extinguishing powders of our preparation in fire-protective materials are functioning, as efficient flame retardants.

 Thus, fire-protective materials are manufactured only by mechanical mixing of binders- Polyurethane resins and fillers- High-dispersed fire-extinguishing powders of our preparation, does not need addition of expensive flame retardants. Therefore such fire-protective materials are eco-safe, very effective and far cheaper than imported analogues.  

Biography:

P. S. T. Sai is a professor in Chemical Engineering at Indian Institute of Technology Madras. He has been actively involved in teaching and research for the past 32 years. His research interests include fluidization, reaction engineering and air pollution control. He has published over 80 research papers. His paper entitled “Esterification of ethanol with sulfuric acid: A kinetic study” was awarded as the best paper published in The Canadian Journal of Chemical Engineering in 2001. He also received Chemical Weekly Award, IIChE NRC Award and. Kuloor Memorial Award in 2012. He has handled many industrial projects and one of them is development of an equipment for simultaneous removal of particulates and SO2 from effluent gaseous streams.

Abstract:

Coal gasification is one of the best ways to convert the char into the synthesis gas. This process has proved to be very effective in Internally Circulating Fluidized Bed (ICFB) gasifier. In ICFB, there occurs gas bypassing from draught to annulus region and vice versa. In the present work, the effects of gas bypassing through the orifices on product gas compositions in both annulus and draught tube is studied following the modeling reported in literature.

The same modeling is applied to a coal of inferior quality and the conversion and product gas compositions at different temperatures and the effects of various parameters are studied. The number of circulations a particle should undergo, total gas yield and solid circulation rate inside the reactor is studied at different temperatures for different conversion levels. In addition, the effects of coal feed rate, particle size, and O₂ to coal and H₂O to coal mass ratio is studied on number of circulations, total gas yield and solid circulation rate.

The optimum operating conditions are also obtained to achieve a specified conversion with minimum number of circulations and maximum gas yield per kg of coal per pass through sequential optimization. For a mixture of particle of different sizes, the conversion and product gas composition in annulus region are studied and compared with uniform size particles. The product gas composition depends strongly on operating parameters such as O₂/coal and H₂O/coal mass ratio and gas bypassing values through the orifice.

Figure 1: Composition of product gas in annulus region at different temperatures

Biography:

Irina Deliy was graduated from Novosibirsk State University (2002) and completed her Ph.D. from Boreskov Institute of Catalysis, Novosibirsk, Russia (2009). She is a senior researcher in Group of Hydrogenation processes at the Boreskov Institute of Catalysis and a researcher in Novosibirsk National Research University, Russia. The main research topic is heterogeneous catalysis applied to renewable materials selective transformations. The main research topic is heterogeneous catalysis applied to renewable materials selective transformations. Research activity has been mainly focused on the development of heterogeneous sulfide and phosphide-based catalysts for the upgrading of renewable sources, such as vegetable oils and pyrolysis oil. Her scientific activity is summed up in17 scientific papers and 4 patents. 

Abstract:

The critical challenge in the developing of the energy-efficient co-processing of triglyceride-based feedstock with straight–run gas oil (SRGO) for ULSD (ultra-low sulfur diesel) production is the elucidation of peculiarities of sulfide catalyst’s behaviour depending on their chemical composition. It is known, that the triglycerides conversion over sulfide Co(Ni)Mo/Al₂O₃ catalysts proceeds through the deoxygenation (with the water formation) or via decarbonylation (with COx production) pathways. But COx production is highly undesirable, because of ecological and technological reasons. In our work dual-bed catalytic system is proposed for the co-processing of rapeseed oil (RSO) – SRGO mixture into ULSD. The Mo/Al₂O₃ catalyst is used in the front layer to provide RSO conversion without considerable COx formation, the SRGO hydrotreating proceeds over traditional CoMo/Al₂O₃ catalysts. CoMo/Al₂O₃, NiMo/Al₂O₃ and dual-bed system (MoS₂/Al₂O₃ and Co-MoS₂/Al₂O₃ catalysts) were compared in the hydrotreating of blended feedstocks (up to 45% of RSO) using full-sized commercial granules and trickle-bed reactor. Total S, N, O contents and quality of produced fuels was checked using the corresponding ASTM methods. Characterization of the catalysts after reaction with TEM confirmed the formation of highly dispersed MoS₂, CoMoS, and NiMoS nanoparticles. It was observed, that over NiMoS/Al₂O₃ catalyst ULSD can be produced from SRGO and RSO-SRGO blends at the same conditions (at 4.0 MPa, 340^oC, LHSV - 1,5 h-1, H2/C- 600), while the sufficient increase of temperature is needed if the CoMoS/Al2O3 catalyst is used. In the case of the dual-bed system, RSO content has only minor effect on the catalyst efficiency in hydrotreating reaction, confirming that the decrease of HDS activity of CoMoS/Al2O3 catalyst in presence of RSO is due to CO inhibition. The use of dual bed system increase the products yield prevents COx formation and avoid the necessity of costly and energy-intensive purification of recycle hydrogen in co-processing of RSO-SRGO mixtures.  

Acknowledgement: The work was supported by the Ministry of Education and Science of the Russian Federation, unique identificator RFMEFI57517X0128.

Figure 1: Effect of the rapeseed oil content on CO production during co-processing of rapeseed oil-SRGO mixture into ULSD over Ni-MoS₂/Al₂O₃ and dual-bed system (MoS₂/Al₂O₃ and Co-MoS₂/Al₂O₃ catalysts).

Biography:

Reza Marandi is Researcher in the Department of  Polymer at the National Petrochemical Company, Research and Technology, Tehran, Iran. He had also worked as a research and development engineer at Tabriz Petrochemical Company. He obtained his Phd from Univercity Technology-Malaysia(UTM).  

Abstract:

A 3-D model based on computational fluid dynamics was developed for studying the effects of inlet gas velocity on the operation of multi-zone circulating reactors (MZCRs) from a hydrodynamic viewpoint. The system was modeled by the two fluid model (TFM) based on the kinetic theory of granular flow (KTGF). The re-normalization group (RNG) k-ε model was applied for implementing the turbulency. Effect of inlet gas velocity on overriding parameters, such as pressure drop and solid volume fraction, was studied. The results showed a limitation in both increasing and decreasing the inlet gas velocity. Therefore, operating at a proper range of inlet gas velocity is recommended for MZCRs.

Figure  Gas velocity along axis of a) riser and b) downer at different inlet gas velocities