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Phenol and its derivatives are hazardous, teratogenic and mutagenic, and have gained significant attention in recent years due to their high toxicity even at low concentrations. Phenolic compounds appear in petroleum refinery wastewater from several sources, such as the neutralized spent caustic waste streams, the tank water drain, the desalter effluent and the production unit. Therefore, effective treatments of such wastewaters are crucial. Conventional techniques used to treat these wastewaters pose several drawbacks, such as incomplete or low efficient removal of phenols. Recently, biocatalysts have attracted much attention for the sustainable and effective removal of toxic chemicals like phenols from wastewaters. The advantages of biocatalytic processes over the conventional treatment methods are their ability to operate over a wide range of operating conditions, low consumption of oxidants, simpler process control, and no delays or shock loading effects associated with the start-up/shutdown of the plant. Among different biocatalysts, oxidoreductases (i.e., tyrosinase, laccase and horseradish peroxidase) are known as green catalysts with massive potentialities to sustainably tackle phenolic contaminants of high concerns. Such enzymes mainly catalyze the o-hydroxylation of a broad spectrum of environmentally related contaminants into their corresponding o-diphenols. This review covers the latest advancement regarding the exploitation of these enzymes for sustainable oxidation of phenolic compounds in wastewater, and suggests a way forward.
Sanaz Salehi; Kourosh Abdollahi; Reza Panahi; Nejat Rahmanian; Mozaffar Shakeri; Babak Mokhtarani. Applications of Biocatalysts for Sustainable Oxidation of Phenolic Pollutants: A Review. Sustainability 2021, 13, 8620 .
AMA StyleSanaz Salehi, Kourosh Abdollahi, Reza Panahi, Nejat Rahmanian, Mozaffar Shakeri, Babak Mokhtarani. Applications of Biocatalysts for Sustainable Oxidation of Phenolic Pollutants: A Review. Sustainability. 2021; 13 (15):8620.
Chicago/Turabian StyleSanaz Salehi; Kourosh Abdollahi; Reza Panahi; Nejat Rahmanian; Mozaffar Shakeri; Babak Mokhtarani. 2021. "Applications of Biocatalysts for Sustainable Oxidation of Phenolic Pollutants: A Review." Sustainability 13, no. 15: 8620.
The oil and gas industry produces sulfur as a by-product when the feed constitutes of sulfur compounds. In the sulfur finishing process, two processes are used to convert molten sulfur to solid particles namely granulation and prilling. The prilling process for sulfur involves molten sulfur being pumped into perforated trays and then poured into an agitated water bath dropwise. This is the wet-prill process. This paper proposes to examine three samples of sulfur, one of which in the prilled form and the other two in granule form produced via two different granulation processes. The characterization tests included particle size distribution, strength measurement, structure analysis, and thermal calorimetry measurements. It was found that there are major differences between sulfur prills and granules when looking at physical and mechanical properties such as size, strength, and thermal properties. The three samples have been tested and analyzed to conclude the best process. The average strength of the prills is 2.4 N in comparison to the average strength of the normal and mixed granule being 3.26 N and 4.7 N, respectively. It is concluded that the granules were stronger than the prills but the prills were more uniform than both samples of granules.
Faisal Momoniat; Nejat Rahmanian. Characterization of sulphur particles: prills vs. granules. Particulate Science and Technology 2021, 1 -10.
AMA StyleFaisal Momoniat, Nejat Rahmanian. Characterization of sulphur particles: prills vs. granules. Particulate Science and Technology. 2021; ():1-10.
Chicago/Turabian StyleFaisal Momoniat; Nejat Rahmanian. 2021. "Characterization of sulphur particles: prills vs. granules." Particulate Science and Technology , no. : 1-10.
Carbon capture and storage (CCS) has attracted renewed interest in the re-evaluation of the equations of state (EoS) for the prediction of thermodynamic properties. This study also evaluates EoS for Peng–Robinson (PR) and Soave–Redlich–Kwong (SRK) and their capability to predict the thermodynamic properties of CO2-rich mixtures. The investigation was carried out using machine learning such as an artificial neural network (ANN) and a classified learner. A lower average absolute relative deviation (AARD) of 7.46% was obtained for the PR in comparison with SRK (AARD = 15.0%) for three components system of CO2 with N2 and CH4. Moreover, it was found to be 13.5% for PR and 19.50% for SRK in the five components’ (CO2 with N2, CH4, Ar, and O2) case. In addition, applying machine learning provided promise and valuable insight to deal with engineering problems. The implementation of machine learning in conjunction with EoS led to getting lower predictive AARD in contrast to EoS. An of AARD 2.81% was achieved for the three components and 12.2% for the respective five components mixture.
George Truc; Nejat Rahmanian; Mahboubeh Pishnamazi. Assessment of Cubic Equations of State: Machine Learning for Rich Carbon-Dioxide Systems. Sustainability 2021, 13, 2527 .
AMA StyleGeorge Truc, Nejat Rahmanian, Mahboubeh Pishnamazi. Assessment of Cubic Equations of State: Machine Learning for Rich Carbon-Dioxide Systems. Sustainability. 2021; 13 (5):2527.
Chicago/Turabian StyleGeorge Truc; Nejat Rahmanian; Mahboubeh Pishnamazi. 2021. "Assessment of Cubic Equations of State: Machine Learning for Rich Carbon-Dioxide Systems." Sustainability 13, no. 5: 2527.
Predicting the PDC bit performance during drilling operation is important for the cost effectiveness of the operation. The majority of PDC bits are assessed based on their performance that are relative to offset wells. Determination of mechanical specific energy (MSE) in real time and compare it with the known MSE for a sharp bit to assess the bit life has been utilized by several operators in the past. However, MSE still cannot be used to predict the bit performance in exploration wells and also it cannot assess the bit efficiency in the inner and outer cones. A more precise approach needs to be devised and applied to improve the prediction of bit life and the decision when to pull the bit out of the hole. Effective mechanical specific energy (EMSE) developed in this work is a new wear and performance predictive model that is to measure the cutting efficiency based on number of cutters, which contact the rock as a function of weight on bit (WOB), rotary speed (RPM), torque, and depth of cut (DOC). This model modifies the previous MSE model by incorporating such parameters and including detailed design of the bit, number of blades, cutter density, cutter size, and cutting angle. Using this approach together with the analysis of rock hardness, a level of understanding of how the drilling variables influence the bit performance in the inner and outer cone is improved, and a convenient comparison of the bit condition in the frame of the standard bit record is achieved. This work presents a new simple model to predict the PDC cutters wear using actual data from three sections drilled in three oil wells in Libya. It is found that the obtained results are in well agreement with the actual dull grading shown in the bit record.
Ahmed Z. Mazen; Nejat Rahmanian; Iqbal M. Mujtaba; Ali Hassanpour. Effective mechanical specific energy: A new approach for evaluating PDC bit performance and cutters wear. Journal of Petroleum Science and Engineering 2020, 196, 108030 .
AMA StyleAhmed Z. Mazen, Nejat Rahmanian, Iqbal M. Mujtaba, Ali Hassanpour. Effective mechanical specific energy: A new approach for evaluating PDC bit performance and cutters wear. Journal of Petroleum Science and Engineering. 2020; 196 ():108030.
Chicago/Turabian StyleAhmed Z. Mazen; Nejat Rahmanian; Iqbal M. Mujtaba; Ali Hassanpour. 2020. "Effective mechanical specific energy: A new approach for evaluating PDC bit performance and cutters wear." Journal of Petroleum Science and Engineering 196, no. : 108030.
It has been shown that seeded granules of calcium carbonate can be produced in commercial batch high shear granulators such as the Cyclomix high-shear impact mixer. Seeded granules are attractive to the pharmaceutical industry due to their high uniformity and good mechanical properties which can assist efficient tablet manufacture. In the current study, attempts to produce seeded granules of Durcal 65 and PEG 4000 binder using hot melt granulation are reported, in response to the recent shift towards continuous pharmaceutical manufacturing. Various screw configurations and rotation speeds were investigated in a series of experiments to determine the relationship between process conditions and granule properties. Particle size analysis, strength measurement and structural characterisation were used to quantify granule properties. It was found that using a series of kneading elements arranged at a 60° staggering angle located near to the feed section of the extruder screw generated strong, spherical granules. From structural characterisation approximately 5-15% of extruded granules were found to be seeded. Twin screw melt granulation is therefore considered to be a promising technique for continuous production of seeded granules, although a more detailed investigation is required to optimise yield and quality.
Victoria R. Kitching; Nejat Rahmanian; Nurul Hanis Jamaluddin; Adrian Kelly. Influence of type of granulators on formation of seeded granules. Chemical Engineering Research and Design 2020, 160, 154 -161.
AMA StyleVictoria R. Kitching, Nejat Rahmanian, Nurul Hanis Jamaluddin, Adrian Kelly. Influence of type of granulators on formation of seeded granules. Chemical Engineering Research and Design. 2020; 160 ():154-161.
Chicago/Turabian StyleVictoria R. Kitching; Nejat Rahmanian; Nurul Hanis Jamaluddin; Adrian Kelly. 2020. "Influence of type of granulators on formation of seeded granules." Chemical Engineering Research and Design 160, no. : 154-161.
Condensate stabilization is a process where hydrocarbon condensate recovered from natural gas reservoirs is processed to meet the required storage, transportation, and export specifications. The process involves stabilizing of hydrocarbon liquid by separation of light hydrocarbon such as methane from the heavier hydrocarbon constituents such as propane. An industrial scale back-up condensate stabilization unit was simulated using Aspen HYSYS software and validated with the plant data. The separation process consumes significant amount of energy in form of steam. The objectives of the paper are to find the minimum steam consumption of the process and conduct sensitivity and exergy analyses on the process. The minimum steam consumption was found using genetic algorithm optimization method for both winter and summer conditions. The optimization was carried out using MATLAB software coupled with Aspen HYSYS software. The optimization involves six design variables and four constraints, such that realistic results are achieved. The results of the optimization show that savings in steam consumption is 34% as compared to the baseline process while maintaining the desired specifications. The effect of natural gas feed temperature has been investigated. The results show that steam consumption is reduced by 46% when the natural gas feed temperature changes from 17.7 to 32.7°C. Exergy analysis shows that exergy destruction of the optimized process is 37% less than the baseline process. BCSU: Back-up condensate stabilization unit; GA: Genetic algorithm; MEG: Monoethylene glycol; RVP: Reid Vapor Pressure; LPG: Liquefied petroleum gas; Q ˙ : Heat rate; \dotm S a t . S t e a m : Saturated steam mass flow rate; h f g : Latent heat; HP: High pressure; LP: Low pressure; LHV: Low heating value; X ˙ d e s t r o y e d : Exergy destruction; s ˙ g e n : Entropy generation; h 1 x ⃗ : Equality constraint; g j x ⃗ : Inequality constraint; x ⃗ : Design variables.
Abdullah Alabdulkarem; Nejat Rahmanian. Steam consumption minimization using genetic algorithm optimization method: an industrial case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2020, 1 -15.
AMA StyleAbdullah Alabdulkarem, Nejat Rahmanian. Steam consumption minimization using genetic algorithm optimization method: an industrial case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2020; ():1-15.
Chicago/Turabian StyleAbdullah Alabdulkarem; Nejat Rahmanian. 2020. "Steam consumption minimization using genetic algorithm optimization method: an industrial case study." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , no. : 1-15.
The estimation of Polycrystalline Diamond Compact (PDC) cutters wear has been an area of concern for the drilling industry for years now. The cutter's wear has been measured practically by pulling the bit out for evaluation at the surface. It is important to find the right time for tripping out as this helps to avoid the fishing job and reduces the operational cost significantly. The prediction of the drilling performance is based on the interaction of cutter and rock. Several authors focused on the cutter-rock interface but only a few researchers tried to model the wear of the PDC bit cutters. The aim of this research is to understand the relationships between the rate of penetration (ROP) and the drilling variables per each foot, and then determine the overall bit efficiency for the whole drilling operation. A new mathematical model is derived to predict the PDC bit performance by considering the factors that were already not taken into account. These factors include rock strength, bit design, and bit hydraulic. The model investigates the effect of these parameters to estimate the abrasive cutters wear on the inner and the outer bit cones by deriving modified equations to calculate the mechanical specific energy (MSE), torque, and depth of cut (DOC) as a function of effective blades (EB). The model is used to forecast the bit cutters wear conditions in four wells in the oil fields located in Libya, which were drilled with three different PDC's sizes. The model enables the results to be compared to the actual bit cutters wear measured for inner and outer cones. The results are found that are well in agreement with the actual field data obtained in bit records.
Ahmed Z. Mazen; Iqbal M. Mujtaba; Ali Hassanpour; Nejat Rahmanian. Mathematical modelling of performance and wear prediction of PDC drill bits: Impact of bit profile, bit hydraulic, and rock strength. Journal of Petroleum Science and Engineering 2019, 188, 106849 .
AMA StyleAhmed Z. Mazen, Iqbal M. Mujtaba, Ali Hassanpour, Nejat Rahmanian. Mathematical modelling of performance and wear prediction of PDC drill bits: Impact of bit profile, bit hydraulic, and rock strength. Journal of Petroleum Science and Engineering. 2019; 188 ():106849.
Chicago/Turabian StyleAhmed Z. Mazen; Iqbal M. Mujtaba; Ali Hassanpour; Nejat Rahmanian. 2019. "Mathematical modelling of performance and wear prediction of PDC drill bits: Impact of bit profile, bit hydraulic, and rock strength." Journal of Petroleum Science and Engineering 188, no. : 106849.
Captured carbon dioxide flowing in pipelines is impure. The impurities contained in the carbon dioxide fluid impact on the properties of the fluid. The impact of each impurity has not been adequately studied and fully understood. In this study, binary mixtures containing carbon dioxide and one impurity, at the maximum permitted concentration, flowing in pipelines are studied to understand their impact on pipeline performance. A hypothetical 70 km uninsulated pipeline is assumed and simulated using Aspen HYSYS (v.10) and gPROMS (v.5.1.1). The mass flow rate is 2,200,600 kg/h; the internal and external diameters are 0.711 m and 0.785 m. 15 MPa and 9 MPa were assumed as inlet and minimum pressures and 33 °C as the inlet temperature, to ensure that the fluid remain in the dense (subcritical or supercritical) phase. Each binary fluid is studied at the maximum allowable concentration and deviations from pure carbon dioxide at the same conditions is determined. These deviations were graded to rank the impurities in order of the degree of impact on each parameter. All impurities had at least one negative impact on carbon dioxide fluid flow. Nitrogen with the highest concentration (10-mol %) had the worst impact on pressure loss (in horizontal pipeline), density, and critical pressure. Hydrogen sulphide (with 1.5-mol %) had the least impact, hardly changing the thermodynamic properties of pure carbon dioxide.
Suoton Philip Peletiri; Iqbal M. Mujtaba; Nejat Rahmanian. Process simulation of impurity impacts on CO2 fluids flowing in pipelines. Journal of Cleaner Production 2019, 240, 118145 .
AMA StyleSuoton Philip Peletiri, Iqbal M. Mujtaba, Nejat Rahmanian. Process simulation of impurity impacts on CO2 fluids flowing in pipelines. Journal of Cleaner Production. 2019; 240 ():118145.
Chicago/Turabian StyleSuoton Philip Peletiri; Iqbal M. Mujtaba; Nejat Rahmanian. 2019. "Process simulation of impurity impacts on CO2 fluids flowing in pipelines." Journal of Cleaner Production 240, no. : 118145.
The production of a number of methyl esters such as methyl decanoate (MeDC), methyl salicylate (MeSC), and methyl benzoate (MeBZ) by esterification reactions of several carboxylic acids such as decanoic acid (DeC), salicylic acid (ScA), and benzoic acid (BeZ) with methanol, respectively, through a reactive distillation system (batch or continuous) is cost-intensive and operationally challenging operation. It is difficult to keep the reaction species together in the reaction section due to wide boiling point differences between the reactants. Methanol (in those esterification processes) having the lowest boiling temperature in the reaction mixture can separate easily from carboxylic acid as the distillation progresses, resulting in a severe drop in the reaction conversion ratio of the acid employing batch/continuous distillation system. In order to overcome this type of challenge and to increase the overall reaction conversion, a novel split-reflux conventional batch reactive distillation configuration (sr-BRD) is proposed/studied in detail in this investigation. The optimal performance of BRD/ sr-BRD column is determined in terms of maximum achievable conversion of acids, and highest concentration of the esters produced for each chemical reaction scheme. The results for given separation tasks are compared with those obtained using conventional batch distillation (BRD) process. The optimization results clearly show that the sr-BRD process significantly improves the process efficiency, the conversion ratio of acid, and the product purity of methyl esters compared to that obtained via the BRD process.
Dhia Yasser Aqar; Nejat Rahmanian; Iqbal M. Mujtaba. A novel split-reflux policy in batch reactive distillation for the optimum synthesis of a number of methyl esters. Separation and Purification Technology 2019, 221, 363 -377.
AMA StyleDhia Yasser Aqar, Nejat Rahmanian, Iqbal M. Mujtaba. A novel split-reflux policy in batch reactive distillation for the optimum synthesis of a number of methyl esters. Separation and Purification Technology. 2019; 221 ():363-377.
Chicago/Turabian StyleDhia Yasser Aqar; Nejat Rahmanian; Iqbal M. Mujtaba. 2019. "A novel split-reflux policy in batch reactive distillation for the optimum synthesis of a number of methyl esters." Separation and Purification Technology 221, no. : 363-377.
In the pharmaceutical industry, enhanced process understanding resulting in superior control of product attributes, has the potential to save up to 20% of process engineering and product development costs during drug development. With the aim of achieving enhanced process understating, a novel approach for granulation of fine powders is presented. First, a mould with the desired particle shape and size is created using 3D printing followed by casting using elastomeric material. The formulation is prepared through wet massing and tested as a thin film on flat elastomeric membranes. The thin film itself can be a product but it also gives a good indication of coating performance before coating the patterned elastic membrane with the formulation i.e., 3D printed elastic mould granulation. Results show that following granulation and drying, granules of controlled size and shape (e.g. cubic and 500 μm), strength, friability and flowability can be formed. The method presented may allow for more robust process development in particle engineering.
Clint Okeyo; Dewan F. Chowdhury; Karmen Cheung; Nejat Rahmanian. 3D printed elastic mould granulation. Powder Technology 2018, 344, 380 -392.
AMA StyleClint Okeyo, Dewan F. Chowdhury, Karmen Cheung, Nejat Rahmanian. 3D printed elastic mould granulation. Powder Technology. 2018; 344 ():380-392.
Chicago/Turabian StyleClint Okeyo; Dewan F. Chowdhury; Karmen Cheung; Nejat Rahmanian. 2018. "3D printed elastic mould granulation." Powder Technology 344, no. : 380-392.
There is a need to accurately design pipelines to meet the expected increase in the construction of carbon dioxide (CO2) pipelines after the signing of the Paris Climate Agreement. CO2 pipelines are usually designed with the assumption of a pure CO2 fluid, even though it usually contains impurities, which affect the critical pressure, critical temperature, phase behaviour, and pressure and temperature changes in the pipeline. The design of CO2 pipelines and the calculation of process parameters and fluid properties is not quite accurate with the assumption of pure CO2 fluids. This paper reviews the design of rich CO2 pipelines including pipeline route selection, length and right of way, fluid flow rates and velocities, need for single point-to-point or trunk pipelines, pipeline operating pressures and temperatures, pipeline wall thickness, fluid stream composition, fluid phases, and pipeline diameter and pressure drop calculations. The performance of a hypothetical pipeline was simulated using gPROMS (ver. 4.2.0) and Aspen HYSYS (ver.10.1) and the results of both software were compared to validate equations. Pressure loss due to fluid acceleration was ignored in the development of the diameter/pressure drop equations. Work is ongoing to incorporate fluid acceleration effect and the effects of impurities to improve the current models.
Suoton P. Peletiri; Nejat Rahmanian; Iqbal M. Mujtaba. CO2 Pipeline Design: A Review. Energies 2018, 11, 2184 .
AMA StyleSuoton P. Peletiri, Nejat Rahmanian, Iqbal M. Mujtaba. CO2 Pipeline Design: A Review. Energies. 2018; 11 (9):2184.
Chicago/Turabian StyleSuoton P. Peletiri; Nejat Rahmanian; Iqbal M. Mujtaba. 2018. "CO2 Pipeline Design: A Review." Energies 11, no. 9: 2184.
The production of methyl decanoate (MeDC) through esterification of decanoic acid (DeC) with methanol by reactive distillation is operationally challenging and energy-intensive due to the complicated behaviour of the reaction system and the difficulty of retaining the reactants together in the reaction region. Methanol being the lightest component in the mixture can separate itself from the reactant DeC as the distillation proceeds which will cause a massive reduction in the conversion of DeC utilizing either a batch or continuous distillation process. Aiming to overcome this type of the potential problem, novel integrated divided-wall batch reactive distillation configuration (i-DWBD) with recycling from the distillate tank is established in this study and is examined in detail. This study has clearly demonstrated that the integrated divided-wall batch reactive distillation column (i-DWBD) is superior to the traditional conventional batch distillation (CBD) and both the divided-wall (DWBD), and split reflux divided-wall (sr-DWBD) batch reactive distillation configurations in terms of maximum achievable purity of MeDC and higher conversion of DeC into MeDC. In addition, significant batch time and energy savings are possible when the i-DWBD is operated in multi-reflux mode.
Dhia Y. Aqar; Nejat Rahmanian; Iqbal M. Mujtaba. Feasibility of novel integrated dividing-wall batch reactive distillation processes for the synthesis of methyl decanoate. Separation and Purification Technology 2018, 202, 200 -215.
AMA StyleDhia Y. Aqar, Nejat Rahmanian, Iqbal M. Mujtaba. Feasibility of novel integrated dividing-wall batch reactive distillation processes for the synthesis of methyl decanoate. Separation and Purification Technology. 2018; 202 ():200-215.
Chicago/Turabian StyleDhia Y. Aqar; Nejat Rahmanian; Iqbal M. Mujtaba. 2018. "Feasibility of novel integrated dividing-wall batch reactive distillation processes for the synthesis of methyl decanoate." Separation and Purification Technology 202, no. : 200-215.
Crude oil is an unrefined petroleum composed of wide range of hydrocarbon up to n‐C40+. However, there are also a percentage of light hydrocarbon components present in the mixture. Therefore, to avoid their flashing for safe storage and transportation, the live crude needs to be stabilized beforehand. This paper aims to find the suitable operating conditions to stabilize an incoming live crude feed to maximum true vapor pressure (TVPs) of 12 psia (82.7 kPa) at Terengganu Crude Oil Terminal, Malaysia. The simulation of the process has been conducted by using Aspen HYSYS. The obtained results illustrate that the simulation data are in good agreement with the plant data and in particular for the heavier hydrocarbons. For the lighter components, the simulation results overpredict the plant data, whereas for the heavier components, this trend is reversed. It was found that at the outlet temperature (85–90°C) of hot oil to crude heat exchanger (HX‐220X), the high‐pressure separator (V‐220 A/B) and the low‐pressure separator (V‐230 A/B) had operating pressures of (400–592 kPa) and (165–186 kPa), respectively, and the live crude was successfully stabilized to a TVP of less than 12 psia. The impact of main variables, that is, inlet feed properties, three‐phase separators operating pressure, and preheater train's performance on the product TVP, are also studied. Based on the scenarios analyzed, it can be concluded that the actual water volume (kbbl/day) has greater impact on the heat exchanger's duty; thus, incoming free water to Terengganu Crude Oil Terminal should be less than 19.5 kbbl/day (9.1 vol%) at the normal incoming crude oil flow rate of 195 (kbbl/day).
Nejat Rahmanian; Dhia Y. Aqar; Muhammad F. Bin Dainure; Iqbal M. Mujtaba. Process simulation and assessment of crude oil stabilization unit. Asia-Pacific Journal of Chemical Engineering 2018, 13, e2219 .
AMA StyleNejat Rahmanian, Dhia Y. Aqar, Muhammad F. Bin Dainure, Iqbal M. Mujtaba. Process simulation and assessment of crude oil stabilization unit. Asia-Pacific Journal of Chemical Engineering. 2018; 13 (4):e2219.
Chicago/Turabian StyleNejat Rahmanian; Dhia Y. Aqar; Muhammad F. Bin Dainure; Iqbal M. Mujtaba. 2018. "Process simulation and assessment of crude oil stabilization unit." Asia-Pacific Journal of Chemical Engineering 13, no. 4: e2219.
Mahdi Kheirinik; Nejat Rahmanian; Mohammad Farsi; Mehdi Garmsiri. Revamping of an acid gas absorption unit: An industrial case study. Journal of Natural Gas Science and Engineering 2018, 55, 534 -541.
AMA StyleMahdi Kheirinik, Nejat Rahmanian, Mohammad Farsi, Mehdi Garmsiri. Revamping of an acid gas absorption unit: An industrial case study. Journal of Natural Gas Science and Engineering. 2018; 55 ():534-541.
Chicago/Turabian StyleMahdi Kheirinik; Nejat Rahmanian; Mohammad Farsi; Mehdi Garmsiri. 2018. "Revamping of an acid gas absorption unit: An industrial case study." Journal of Natural Gas Science and Engineering 55, no. : 534-541.
There is need to accurately design pipelines to transport the expected increase of CO2 captured from industrial processes after the signing of the Paris Climate Agreement in 2016. This paper reviews several aspects of CO2 pipeline design with emphasis on pressure drop and models for the calculation of pipeline diameter. Two categories of pipeline equations were identified. The first category is independent of pipeline length and has two different equations. This category is used to specify adequate pipeline diameter for the volume of fluid transported. The optimum economic pipe diameter equation (Eq. 17) with nearly uniform resultant velocity values at different flow rates performed better than the standard velocity flow equation (Eq. 20). The second category has four different equations and is used to calculate pipeline pressure drop or pipeline distance for the installation of booster stations after specifying minimum and maximum pipeline pressures. The hydraulic equation is preferred because it gave better resultant velocity values and the closest diameter value obtained using Aspen HYSYS (V.10) simulation. The effect of impurities on the pressure behaviour and optimal pipeline diameter and pressure loss due to acceleration were ignored in the development of the models. Further work is ongoing to incorporate these effects into the models.
Suoton P. Peletiri; Nejat Rahmanian; Iqbal M. Mujtaba. CO2 Pipeline Design: A Review. 2018, 1 .
AMA StyleSuoton P. Peletiri, Nejat Rahmanian, Iqbal M. Mujtaba. CO2 Pipeline Design: A Review. . 2018; ():1.
Chicago/Turabian StyleSuoton P. Peletiri; Nejat Rahmanian; Iqbal M. Mujtaba. 2018. "CO2 Pipeline Design: A Review." , no. : 1.
Three equations of state with a group contribution model for binary interaction parameters were employed to calculate the vapor-liquid equilibria of synthetic and real natural gas mixtures with heavy fractions. In order to estimate the binary interaction parameters, critical temperatures, critical pressures and acentric factors of binary constituents of the mixture are required. The binary interaction parameter model also accounts for temperature. To perform phase equilibrium calculations, the heavy fractions were first discretized into 12 Single Carbon Numbers (SCN) using generalized molecular weights. Then, using the generalized molecular weights and specific gravities, the SCN were characterized. Afterwards, phase equilibrium calculations were performed employing a set of (nc + 1) equations where nc stands for the number of known components plus 12 SCN. The equations were solved iteratively using Newton's method. Predictions indicate that the use of binary interaction parameters for highly sour natural gas mixtures is quite important and must not be avoided. For sweet natural gas mixtures, the use of binary interaction parameters is less remarkable, however.
Khashayar Nasrifar; Nejat Rahmanian. Equations of State with Group Contribution Binary Interaction Parameters for Calculation of Two-Phase Envelopes for Synthetic and Real Natural Gas Mixtures with Heavy Fractions. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 2018, 73, 7 .
AMA StyleKhashayar Nasrifar, Nejat Rahmanian. Equations of State with Group Contribution Binary Interaction Parameters for Calculation of Two-Phase Envelopes for Synthetic and Real Natural Gas Mixtures with Heavy Fractions. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 2018; 73 ():7.
Chicago/Turabian StyleKhashayar Nasrifar; Nejat Rahmanian. 2018. "Equations of State with Group Contribution Binary Interaction Parameters for Calculation of Two-Phase Envelopes for Synthetic and Real Natural Gas Mixtures with Heavy Fractions." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 73, no. : 7.
Seyed Hadi Seyedin; Ehsan Zhalehrajabi; Mehdi Ardjmand; Ali Akbar Safekordi; Shahram Raygan; Nejat Rahmanian. Using response surface methodology to optimize the operating parameters in a top-spray fluidized bed coating system. Surface and Coatings Technology 2018, 334, 43 -49.
AMA StyleSeyed Hadi Seyedin, Ehsan Zhalehrajabi, Mehdi Ardjmand, Ali Akbar Safekordi, Shahram Raygan, Nejat Rahmanian. Using response surface methodology to optimize the operating parameters in a top-spray fluidized bed coating system. Surface and Coatings Technology. 2018; 334 ():43-49.
Chicago/Turabian StyleSeyed Hadi Seyedin; Ehsan Zhalehrajabi; Mehdi Ardjmand; Ali Akbar Safekordi; Shahram Raygan; Nejat Rahmanian. 2018. "Using response surface methodology to optimize the operating parameters in a top-spray fluidized bed coating system." Surface and Coatings Technology 334, no. : 43-49.
It has been globally recognized as necessary to reduce greenhouse gas (GHG) emissions for mitigating the adverse effects of global warming on earth. Carbon dioxide (CO2) capture and storage (CCS) technologies can play a critical role to achieve these reductions. Current CCS technologies use several different approaches including adsorption, membrane separation, physical and chemical absorption to separate CO2 from flue gases. This study aims to evaluate the performance and energy savings of CO2 capture system based on chemical absorption by installing an intercooler in the system. Monoethanolamine (MEA) was used as the absorption solvent and Aspen HYSYS (ver. 9) was used to simulate the CO2 capturing model. The positioning of the intercooler was studied in 10 different cases and compared with the base case 0 without intercooling. It was found that the installation of the intercooler improved the overall efficiency of CO2 recovery in the designed system for all 1-10 cases. Intercooler case 9 was found to be the best case in providing the highest recovery of CO2 (92.68%), together with MEA solvent savings of 2.51%. Furthermore, energy savings of 16 GJ/h was estimated from the absorber column alone, that would increase many folds for the entire CO2 capture plant. The intercooling system, thus showed improved CO2 recovery performance and potential of significant savings in MEA solvent loading and energy requirements, essential for the development of economical and optimized CO2 capturing technology.
Mohammad Rehan; Nejat Rahmanian; Xaviar Hyatt; Suoton Philip Peletiri; Abdul-Sattar Nizami. Energy Savings in CO 2 Capture System through Intercooling Mechanism. Energy Procedia 2017, 142, 3683 -3688.
AMA StyleMohammad Rehan, Nejat Rahmanian, Xaviar Hyatt, Suoton Philip Peletiri, Abdul-Sattar Nizami. Energy Savings in CO 2 Capture System through Intercooling Mechanism. Energy Procedia. 2017; 142 ():3683-3688.
Chicago/Turabian StyleMohammad Rehan; Nejat Rahmanian; Xaviar Hyatt; Suoton Philip Peletiri; Abdul-Sattar Nizami. 2017. "Energy Savings in CO 2 Capture System through Intercooling Mechanism." Energy Procedia 142, no. : 3683-3688.
Dhia Yasser Aqar; Nejat Rahmanian; Iqbal M. Mujtaba. Feasibility of integrated batch reactive distillation columns for the optimal synthesis of ethyl benzoate. Chemical Engineering and Processing - Process Intensification 2017, 122, 10 -20.
AMA StyleDhia Yasser Aqar, Nejat Rahmanian, Iqbal M. Mujtaba. Feasibility of integrated batch reactive distillation columns for the optimal synthesis of ethyl benzoate. Chemical Engineering and Processing - Process Intensification. 2017; 122 ():10-20.
Chicago/Turabian StyleDhia Yasser Aqar; Nejat Rahmanian; Iqbal M. Mujtaba. 2017. "Feasibility of integrated batch reactive distillation columns for the optimal synthesis of ethyl benzoate." Chemical Engineering and Processing - Process Intensification 122, no. : 10-20.
Mohammadreza Alizadeh Behjani; Nejat Rahmanian; Nur Fardina Bt Abdul Ghani; Ali Hassanpour. An investigation on process of seeded granulation in a continuous drum granulator using DEM. Advanced Powder Technology 2017, 28, 2456 -2464.
AMA StyleMohammadreza Alizadeh Behjani, Nejat Rahmanian, Nur Fardina Bt Abdul Ghani, Ali Hassanpour. An investigation on process of seeded granulation in a continuous drum granulator using DEM. Advanced Powder Technology. 2017; 28 (10):2456-2464.
Chicago/Turabian StyleMohammadreza Alizadeh Behjani; Nejat Rahmanian; Nur Fardina Bt Abdul Ghani; Ali Hassanpour. 2017. "An investigation on process of seeded granulation in a continuous drum granulator using DEM." Advanced Powder Technology 28, no. 10: 2456-2464.