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Dr. Tohid N.Borhani
University of Wolverhampton

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Research Keywords & Expertise

0 Absorption
0 CO2 capture & Utilization
0 adsorption (chemisorption and physisorption)
0 Separation and purification processes
0 Process modeling and simulation

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CO2 capture & Utilization
Absorption

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Journal article
Published: 19 June 2021 in Energy Conversion and Management
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The utilisation of biomass is regarded as a promising technology as a negative CO2 resource and is widely under investigation. Although being a developing technology predominantly used as the axillary fuel, the interest in biomass gasification has increased since the last decade due to increased attention in sustainable bioenergy. Therefore, in this study, a novel process of biomass-derived syngas and natural gas oxy-co-firing is being investigated. Aspen Plus® is employed to develop the staged oxy-co-firing of biomass-based syngas and the natural gas cycle. The results revealed that the net power efficiencies are in the range of 42.6% and 45.5%. Furthermore, the economic assessment reveals that the LCOE increases with the increment of biomass flowrate with the highest cost of €79.6/MWh for 7 kg/s biomass mass flow rate. The effect of different biomass prices on LCOE is also investigated. It proved that the implementation of biomass with the price of €80/tdry results in the competitive LCOE to the state-of-the-art power cycles without carbon capture system (€62.9/MWh). On the other hand, the environmental analysis reveals that in order to have a negative CO2 emission power cycle, the minimum biomass flowrate should be at 7 kg/s which results in specific negative CO2 emission and total life cycle of CO2 emission of 195.5 and 168.5 kg CO2/MWh, respectively.

ACS Style

Shamsoddin Ghiami; Navid Khallaghi; Tohid N. Borhani. Techno-economic and environmental assessment of staged oxy-co-firing of biomass-derived syngas and natural gas. Energy Conversion and Management 2021, 243, 114410 .

AMA Style

Shamsoddin Ghiami, Navid Khallaghi, Tohid N. Borhani. Techno-economic and environmental assessment of staged oxy-co-firing of biomass-derived syngas and natural gas. Energy Conversion and Management. 2021; 243 ():114410.

Chicago/Turabian Style

Shamsoddin Ghiami; Navid Khallaghi; Tohid N. Borhani. 2021. "Techno-economic and environmental assessment of staged oxy-co-firing of biomass-derived syngas and natural gas." Energy Conversion and Management 243, no. : 114410.

Journal article
Published: 11 April 2021 in Energies
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Five major operations for the conversion of lignocellulosic biomasses into bioethanol are pre-treatment, detoxification, hydrolysis, fermentation, and distillation. The fermentation process is a significant biological step to transform lignocellulose into biofuel. The interactions of biochemical networks and their uncertainty and nonlinearity that occur during fermentation processes are major problems for experts developing accurate bioprocess models. In this study, mechanical processing and pre-treatment on the palm trunk were done before fermentation. Analysis was performed on the fresh palm sap and the fermented sap to determine the composition. The analysis for total sugar content was done using high-performance liquid chromatography (HPLC) and the percentage of alcohols by volume was determined using gas chromatography (GC). A model was also developed for the fermentation process based on the Adaptive-Network-Fuzzy Inference System (ANFIS) combined with particle swarm optimization (PSO) to predict bioethanol production in biomass fermentation of oil palm trunk sap. The model was used to find the best experimental conditions to achieve the maximum bioethanol concentration. Graphical sensitivity analysis techniques were also used to identify the most effective parameters in the bioethanol process.

ACS Style

Leila Ezzatzadegan; Rubiyah Yusof; Noor Morad; Parvaneh Shabanzadeh; Nur Muda; Tohid Borhani. Experimental and Artificial Intelligence Modelling Study of Oil Palm Trunk Sap Fermentation. Energies 2021, 14, 2137 .

AMA Style

Leila Ezzatzadegan, Rubiyah Yusof, Noor Morad, Parvaneh Shabanzadeh, Nur Muda, Tohid Borhani. Experimental and Artificial Intelligence Modelling Study of Oil Palm Trunk Sap Fermentation. Energies. 2021; 14 (8):2137.

Chicago/Turabian Style

Leila Ezzatzadegan; Rubiyah Yusof; Noor Morad; Parvaneh Shabanzadeh; Nur Muda; Tohid Borhani. 2021. "Experimental and Artificial Intelligence Modelling Study of Oil Palm Trunk Sap Fermentation." Energies 14, no. 8: 2137.

Book chapter
Published: 01 January 2020 in Design and Operation of Solid Oxide Fuel Cells
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Due to the fluctuating and unpredictable demand for energy and the intermittency of renewable energy resources, energy-storage systems play an important role in our future energy infrastructure. One of the methods for chemical-based energy storage that has attracted considerable attention is using reversible solid oxide cells (ReSOCs). These systems can be used in two different modes. The first mode is the solid oxide fuel cell (SOFC) in which electricity is generated through the electrochemical reactions of fuel with the oxygen in the air. The second mode is the solid oxide electrolyzer cell (SOEC) in which hydrogen or syngas is produced using electricity. Therefore ReSOCs have two important features in addition to those defined for SOFC and SOEC operations, namely (1) the reversible operation of the electrode and (2) the efficient cyclic operation. In this chapter the important characteristics of ReSOCs, their different configurations and integration methods, as well as their economic aspects are discussed.

ACS Style

Tohid N.Borhani. Energy storage. Design and Operation of Solid Oxide Fuel Cells 2020, 311 -332.

AMA Style

Tohid N.Borhani. Energy storage. Design and Operation of Solid Oxide Fuel Cells. 2020; ():311-332.

Chicago/Turabian Style

Tohid N.Borhani. 2020. "Energy storage." Design and Operation of Solid Oxide Fuel Cells , no. : 311-332.

Review
Published: 01 October 2019 in Renewable and Sustainable Energy Reviews
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ACS Style

Tohid N.Borhani; Meihong Wang. Role of solvents in CO2 capture processes: The review of selection and design methods. Renewable and Sustainable Energy Reviews 2019, 114, 1 .

AMA Style

Tohid N.Borhani, Meihong Wang. Role of solvents in CO2 capture processes: The review of selection and design methods. Renewable and Sustainable Energy Reviews. 2019; 114 ():1.

Chicago/Turabian Style

Tohid N.Borhani; Meihong Wang. 2019. "Role of solvents in CO2 capture processes: The review of selection and design methods." Renewable and Sustainable Energy Reviews 114, no. : 1.

Journals
Published: 17 June 2019 in Physical Chemistry Chemical Physics
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QSPR models predict the Gibbs free energy of solvation of organic solute/solvent pairs by combining quantum mechanical and experimental descriptors.

ACS Style

Tohid N. Borhani; Salvador García-Muñoz; Carla Vanesa Luciani; Amparo Galindo; Claire S. Adjiman. Hybrid QSPR models for the prediction of the free energy of solvation of organic solute/solvent pairs. Physical Chemistry Chemical Physics 2019, 21, 13706 -13720.

AMA Style

Tohid N. Borhani, Salvador García-Muñoz, Carla Vanesa Luciani, Amparo Galindo, Claire S. Adjiman. Hybrid QSPR models for the prediction of the free energy of solvation of organic solute/solvent pairs. Physical Chemistry Chemical Physics. 2019; 21 (25):13706-13720.

Chicago/Turabian Style

Tohid N. Borhani; Salvador García-Muñoz; Carla Vanesa Luciani; Amparo Galindo; Claire S. Adjiman. 2019. "Hybrid QSPR models for the prediction of the free energy of solvation of organic solute/solvent pairs." Physical Chemistry Chemical Physics 21, no. 25: 13706-13720.

Journal article
Published: 30 March 2019 in Journal of Industrial and Engineering Chemistry
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Rotating packed bed (RPB) system has applications in CO2 removal using chemical solvents which can reduce the size about ten times compared to common packed bed (PB) system. In this study, RPB stripper using monoethanolamine (MEA) solution is modelled in gPROMS® software. The model has been validated using experimental data from literature and show good agreement. In addition to stripper modelling and validation, the process analysis is accomplished in this study by assessing the influence of four parameters namely rotor speed, reboiler temperature, flow rate of rich liquid, and pressure on desorption efficiency and desorption energy.

ACS Style

Tohid N. Borhani; Eni Oko; Meihong Wang. Process modelling, validation and analysis of rotating packed bed stripper in the context of intensified CO2 capture with MEA. Journal of Industrial and Engineering Chemistry 2019, 75, 285 -295.

AMA Style

Tohid N. Borhani, Eni Oko, Meihong Wang. Process modelling, validation and analysis of rotating packed bed stripper in the context of intensified CO2 capture with MEA. Journal of Industrial and Engineering Chemistry. 2019; 75 ():285-295.

Chicago/Turabian Style

Tohid N. Borhani; Eni Oko; Meihong Wang. 2019. "Process modelling, validation and analysis of rotating packed bed stripper in the context of intensified CO2 capture with MEA." Journal of Industrial and Engineering Chemistry 75, no. : 285-295.

Review
Published: 23 November 2018 in Progress in Energy and Combustion Science
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Biomass fast pyrolysis is potentially one of the cheapest routes toward renewable liquid fuels. Its commercialization, however, poses a multi-scale challenge, which starts with the characterization of feedstock, products and reaction intermediates at molecular scales, and continues with understanding the complex reaction network taking place in different reactor configurations, and in the case of catalytic pyrolysis and upgrading on different catalysts. In addition, crude pyrolysis oil is not immediately usable in the current energy infrastructure, due to undesirable properties such as low energy content and corrosiveness as a result of its high oxygenate content. It, therefore, needs to be upgraded and fractionated to desired specifications. While various types of pyrolysis reactors and upgrading technologies are under development, knowledge transfer and closing the gap between theory and application requires model development. In-depth understanding of the reaction mechanisms and kinetics should be combined with the knowledge of multi-scale transport phenomena to enable design, optimization, and control of complex pyrolysis reactors. Finally, underpinning economic and environmental impacts of biofuel production requires expanding the system boundaries to include the overall process and supply chain. The present contribution aims at providing a comprehensive multi-scale review that discusses the state of the art of each of these aspects, as well as their multi-scale interactions. The study is mainly focused on fast pyrolysis, although reference to other types of pyrolysis technologies is made for the sake of comparison and knowledge transfer.

ACS Style

Mahdi Sharifzadeh; Majid Sadeqzadeh; Miao Guo; Tohid N. Borhani; N.V.S.N. Murthy Konda; Marti Cortada Garcia; Lei Wang; Jason Hallett; Nilay Shah. The multi-scale challenges of biomass fast pyrolysis and bio-oil upgrading: Review of the state of art and future research directions. Progress in Energy and Combustion Science 2018, 71, 1 -80.

AMA Style

Mahdi Sharifzadeh, Majid Sadeqzadeh, Miao Guo, Tohid N. Borhani, N.V.S.N. Murthy Konda, Marti Cortada Garcia, Lei Wang, Jason Hallett, Nilay Shah. The multi-scale challenges of biomass fast pyrolysis and bio-oil upgrading: Review of the state of art and future research directions. Progress in Energy and Combustion Science. 2018; 71 ():1-80.

Chicago/Turabian Style

Mahdi Sharifzadeh; Majid Sadeqzadeh; Miao Guo; Tohid N. Borhani; N.V.S.N. Murthy Konda; Marti Cortada Garcia; Lei Wang; Jason Hallett; Nilay Shah. 2018. "The multi-scale challenges of biomass fast pyrolysis and bio-oil upgrading: Review of the state of art and future research directions." Progress in Energy and Combustion Science 71, no. : 1-80.

Journal article
Published: 11 September 2018 in Journal of Cleaner Production
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Rotating packed bed (RPB) absorber using monoethanolamine (MEA) as the solvent to capture CO2 is modelled at steady state condition in this study according to the first principles in gPROMS®. The effect of eight different kinetic reaction models and five enhancement factors is examined based on the newly developed model. Selection of kinetic model has a significant effect on the carbon capture level (CCL) but the effect of enhancement factor relation is not important. The steady state process model is validated against the experimental data and showed good agreement. The average absolute relative deviation for 12 case-runs is 3.5%. In addition, process analysis is performed to evaluate the effect of four factors namely rotor speed, MEA concentration in lean MEA solution, lean MEA solution temperature and lean MEA solution flow rate on CCL. Finally, the orthogonal array design (OAD) method is applied to analyse the simultaneous effect of the above-mentioned factors in the CCL and motor power of RPB absorber by considering 25 scenarios. The result of using OAD revealed that rotor speed has the most important effect on CCL, and after that lean MEA solution flow rate has the second importance. In addition, the OAD method is used to find the proper combination of four factors that resulted in about 90% CCL with low motor power.

ACS Style

Tohid N. Borhani; Eni Oko; Meihong Wang. Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed absorber. Journal of Cleaner Production 2018, 204, 1124 -1142.

AMA Style

Tohid N. Borhani, Eni Oko, Meihong Wang. Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed absorber. Journal of Cleaner Production. 2018; 204 ():1124-1142.

Chicago/Turabian Style

Tohid N. Borhani; Eni Oko; Meihong Wang. 2018. "Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed absorber." Journal of Cleaner Production 204, no. : 1124-1142.

Book chapter
Published: 01 January 2018 in Exergetic, Energetic and Environmental Dimensions
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ACS Style

Zhien Zhang; Tohid N.G. Borhani; Muftah H. El-Naas. Carbon Capture. Exergetic, Energetic and Environmental Dimensions 2018, 997 -1016.

AMA Style

Zhien Zhang, Tohid N.G. Borhani, Muftah H. El-Naas. Carbon Capture. Exergetic, Energetic and Environmental Dimensions. 2018; ():997-1016.

Chicago/Turabian Style

Zhien Zhang; Tohid N.G. Borhani; Muftah H. El-Naas. 2018. "Carbon Capture." Exergetic, Energetic and Environmental Dimensions , no. : 997-1016.

Journal article
Published: 01 January 2018 in Journal of Molecular Liquids
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ACS Style

Shervan Babamohammadi; Ahmad Shamiri; Tohid N.Borhani; Mohammad Saleh Shafeeyan; Mohamed Kheireddine Aroua; Rozita Yusoff. Solubility of CO 2 in aqueous solutions of glycerol and monoethanolamine. Journal of Molecular Liquids 2018, 249, 40 -52.

AMA Style

Shervan Babamohammadi, Ahmad Shamiri, Tohid N.Borhani, Mohammad Saleh Shafeeyan, Mohamed Kheireddine Aroua, Rozita Yusoff. Solubility of CO 2 in aqueous solutions of glycerol and monoethanolamine. Journal of Molecular Liquids. 2018; 249 ():40-52.

Chicago/Turabian Style

Shervan Babamohammadi; Ahmad Shamiri; Tohid N.Borhani; Mohammad Saleh Shafeeyan; Mohamed Kheireddine Aroua; Rozita Yusoff. 2018. "Solubility of CO 2 in aqueous solutions of glycerol and monoethanolamine." Journal of Molecular Liquids 249, no. : 40-52.

Original
Published: 11 October 2017 in Heat and Mass Transfer
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In this study, artificial neural network (ANN) and thermodynamic models were developed for prediction of the heat capacity (CP) of amine-based solvents. For ANN model, independent variables such as concentration, temperature, molecular weight and CO2 loading of amine were selected as the inputs of the model. The significance of the input variables of the ANN model on the CP values was investigated statistically by analyzing of correlation matrix. A thermodynamic model based on the Redlich-Kister equation was used to correlate the excess molar heat capacity \( \left({C}_P^E\right) \) data as function of temperature. In addition, the effects of temperature and CO2 loading at different concentrations of conventional amines on the CP values were investigated. Both models were validated against experimental data and very good results were obtained between two mentioned models and experimental data of CP collected from various literatures. The AARD between ANN model results and experimental data of CP for 47 systems of amine-based solvents studied was 4.3%. For conventional amines, the AARD for ANN model and thermodynamic model in comparison with experimental data were 0.59% and 0.57%, respectively. The results showed that both ANN and Redlich-Kister models can be used as a practical tool for simulation and designing of CO2 removal processes by using amine solutions.

ACS Style

Morteza Afkhamipour; Masoud Mofarahi; Tohid N.Borhani; Masoud Zanganeh. Prediction of heat capacity of amine solutions using artificial neural network and thermodynamic models for CO2 capture processes. Heat and Mass Transfer 2017, 54, 855 -866.

AMA Style

Morteza Afkhamipour, Masoud Mofarahi, Tohid N.Borhani, Masoud Zanganeh. Prediction of heat capacity of amine solutions using artificial neural network and thermodynamic models for CO2 capture processes. Heat and Mass Transfer. 2017; 54 (3):855-866.

Chicago/Turabian Style

Morteza Afkhamipour; Masoud Mofarahi; Tohid N.Borhani; Masoud Zanganeh. 2017. "Prediction of heat capacity of amine solutions using artificial neural network and thermodynamic models for CO2 capture processes." Heat and Mass Transfer 54, no. 3: 855-866.

Journal article
Published: 24 October 2016 in Chemical Engineering Research and Design
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Catalyst deactivation is one of the major concerns in industrial catalytic reactors. The capability to perform detailed analysis of the catalytic process and its deactivation phenomenon is therefore vital in maintaining high productivity and product quality. Analysis and prediction of the catalyst deactivation mechanism and the rate of deactivation are among the most challenging endeavors in the area of the catalytic reactor modeling. Hence, the catalyst deactivation phenomenon requires detailed dynamic modeling to enable its performance to be closely scrutinized. In this paper, a hybrid model incorporating first principle model and artificial neural network (ANN) has been used to develop a generic framework to model the industrial fixed-bed catalytic reactors (FBCRs) experiencing catalyst deactivation. The model does not consider the complicated mechanism of catalyst deactivation, and its effect is incorporated employing ANN, which utilizes the catalytic process data. The generic modeling steps have been extensively described, and the developed model has been applied on two industrial case studies. The validation of each model was carried out signifying that the generalized model developed has acceptable accuracy. The model enabled the lifetime of the industrial Pd/C and CuO-ZnO-Al2O3 catalysts and the effects of the operating parameters on the hydropurification process and methanol production reactors to be predicted. The generic strategy presented can be utilized for the performance analysis of any FBCR disregarding the type of catalyst.

ACS Style

Abbas Azarpour; Tohid N.Borhani; Sharifah Rafidah Wan Alwi; Zainuddin A. Manan; Mohamed I. Abdul Mutalib. A generic hybrid model development for process analysis of industrial fixed-bed catalytic reactors. Chemical Engineering Research and Design 2016, 117, 149 -167.

AMA Style

Abbas Azarpour, Tohid N.Borhani, Sharifah Rafidah Wan Alwi, Zainuddin A. Manan, Mohamed I. Abdul Mutalib. A generic hybrid model development for process analysis of industrial fixed-bed catalytic reactors. Chemical Engineering Research and Design. 2016; 117 ():149-167.

Chicago/Turabian Style

Abbas Azarpour; Tohid N.Borhani; Sharifah Rafidah Wan Alwi; Zainuddin A. Manan; Mohamed I. Abdul Mutalib. 2016. "A generic hybrid model development for process analysis of industrial fixed-bed catalytic reactors." Chemical Engineering Research and Design 117, no. : 149-167.

Article
Published: 02 September 2016 in Journal of Solution Chemistry
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Certain alkyl ammonium salts are called ionic liquids They can be used as green solvents without toxicity, effects on the ozone layer depletion, effects on climate change, and any other significant environmental impacts; in this regard knowledge about their thermo-physical properties are really important. In this work activity coefficients of aqueous solutions of alkyl ammonium salts at 298.15 and 293.15 K are modelled using the Extended UNIQUAC (Universal Quasi Chemical) thermodynamic model. Adjustable parameters of the Extended UNIQUAC thermodynamic model were obtained by non-linear regression between experimental data and the results calculated from the model. The results of the model are in good agreement with the experimental values in most cases, the average absolute deviation of the model being less than 2 %, which is acceptable considering the uncertainty of the experimental data. Additionally, the results gained from the Extended UNIQUAC model are also compared with the results obtained from Electrolyte NRTL and Pitzer thermodynamic methods.

ACS Style

Vahid Akbari; Mohammad Reza Dehghani; Tohid N.Borhani; Abbas Azarpour. Activity Coefficient Modelling of Aqueous Solutions of Alkyl Ammonium Salts using the Extended UNIQUAC Model. Journal of Solution Chemistry 2016, 45, 1434 -1452.

AMA Style

Vahid Akbari, Mohammad Reza Dehghani, Tohid N.Borhani, Abbas Azarpour. Activity Coefficient Modelling of Aqueous Solutions of Alkyl Ammonium Salts using the Extended UNIQUAC Model. Journal of Solution Chemistry. 2016; 45 (10):1434-1452.

Chicago/Turabian Style

Vahid Akbari; Mohammad Reza Dehghani; Tohid N.Borhani; Abbas Azarpour. 2016. "Activity Coefficient Modelling of Aqueous Solutions of Alkyl Ammonium Salts using the Extended UNIQUAC Model." Journal of Solution Chemistry 45, no. 10: 1434-1452.

Journal article
Published: 01 September 2016 in Process Safety and Environmental Protection
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ACS Style

Tohid Nejad Ghaffar Borhani; Afsaneh Afzali; Mehdi Bagheri. QSPR estimation of the auto-ignition temperature for pure hydrocarbons. Process Safety and Environmental Protection 2016, 103, 115 -125.

AMA Style

Tohid Nejad Ghaffar Borhani, Afsaneh Afzali, Mehdi Bagheri. QSPR estimation of the auto-ignition temperature for pure hydrocarbons. Process Safety and Environmental Protection. 2016; 103 ():115-125.

Chicago/Turabian Style

Tohid Nejad Ghaffar Borhani; Afsaneh Afzali; Mehdi Bagheri. 2016. "QSPR estimation of the auto-ignition temperature for pure hydrocarbons." Process Safety and Environmental Protection 103, no. : 115-125.

Journal article
Published: 01 July 2016 in Water Research
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In advanced oxidation processes (AOPs), the aqueous hydroxyl radical (HO) acts as a strong oxidant to react with organic contaminants. The hydroxyl radical rate constant (kHO) is important for evaluating and modelling of the AOPs. In this study, quantitative structure-property relationship (QSPR) method is applied to model the hydroxyl radical rate constant for a diverse dataset of 457 water contaminants from 27 various chemical classes. The constricted binary particle swarm optimization and multiple-linear regression (BPSO-MLR) are used to obtain the best model with eight theoretical descriptors. An optimized feed forward neural network (FFNN) is developed to investigate the complex performance of the selected molecular parameters with kHO. Although the FFNN prediction results are more accurate than those obtained using BPSO-MLR, the application of the latter is much more convenient. Various internal and external validation techniques indicate that the obtained models could predict the logarithmic hydroxyl radical rate constants of a large number of water contaminants with less than 4% absolute relative error. Finally, the above-mentioned proposed models are compared to those reported earlier and the structural factors contributing to the AOP degradation efficiency are discussed.

ACS Style

Tohid Nejad Ghaffar Borhani; Mohammadhossein Saniedanesh; Mehdi Bagheri; Jeng Shiun Lim. QSPR prediction of the hydroxyl radical rate constant of water contaminants. Water Research 2016, 98, 344 -353.

AMA Style

Tohid Nejad Ghaffar Borhani, Mohammadhossein Saniedanesh, Mehdi Bagheri, Jeng Shiun Lim. QSPR prediction of the hydroxyl radical rate constant of water contaminants. Water Research. 2016; 98 ():344-353.

Chicago/Turabian Style

Tohid Nejad Ghaffar Borhani; Mohammadhossein Saniedanesh; Mehdi Bagheri; Jeng Shiun Lim. 2016. "QSPR prediction of the hydroxyl radical rate constant of water contaminants." Water Research 98, no. : 344-353.

Journal article
Published: 01 February 2016 in Journal of Industrial and Engineering Chemistry
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ACS Style

Tohid N.Borhani; Morteza Afkhamipour; Abbas Azarpour; Vahid Akbari; Seyed Hossein Emadi; Zainuddin A. Manan. Modeling study on CO 2 and H 2 S simultaneous removal using MDEA solution. Journal of Industrial and Engineering Chemistry 2016, 34, 344 -355.

AMA Style

Tohid N.Borhani, Morteza Afkhamipour, Abbas Azarpour, Vahid Akbari, Seyed Hossein Emadi, Zainuddin A. Manan. Modeling study on CO 2 and H 2 S simultaneous removal using MDEA solution. Journal of Industrial and Engineering Chemistry. 2016; 34 ():344-355.

Chicago/Turabian Style

Tohid N.Borhani; Morteza Afkhamipour; Abbas Azarpour; Vahid Akbari; Seyed Hossein Emadi; Zainuddin A. Manan. 2016. "Modeling study on CO 2 and H 2 S simultaneous removal using MDEA solution." Journal of Industrial and Engineering Chemistry 34, no. : 344-355.

Journal article
Published: 01 December 2015 in Chemical Engineering Research and Design
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In an industrial fluidized bed polymerization reactor, particle size distribution (PSD) plays a significant role in the reactor efficiency evaluation. The computational fluid dynamic (CFD) models coupled with population balance model (CFD-PBM) have been extensively employed to highlight its potential to analyze the industrial-scale gas phase polymerization reactor (FBRs) utilizing ANSYS Fluent software. The predicted results reveal an acceptable agreement with the observed industrial data in terms of pressure drop and bed height. Courant number independent study has been carried out to record the mesh and time step independent results for large scale FBRs. Furthermore, the minimum fluidization velocity (U-mf) and size-dependent particle growth rate have been assessed to emphasize the impact of PSD along the reactor. The results show transient regime in the case of minimum fluidization velocity. The simulation results signify that in order to improve the polymerization yield, the amount of gas velocity can be increased without change in the fluidization regime, i.e. segregation. Hence, the 2D CFD-PBWDQMOM coupled model can be used as a reliable tool for analyzing and improving the design and operation of the gas phase polymerization FBRs. (C) 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved

ACS Style

Vahid Akbari; Tohid Nejad Ghaffar Borhani; Ahmad Shamiri; Roya Aramesh; Mohamed Azlan Hussain; Mohd. Kamaruddin Abd. Hamid. 2D CFD-PBM simulation of hydrodynamic and particle growth in an industrial gas phase fluidized bed polymerization reactor. Chemical Engineering Research and Design 2015, 104, 53 -67.

AMA Style

Vahid Akbari, Tohid Nejad Ghaffar Borhani, Ahmad Shamiri, Roya Aramesh, Mohamed Azlan Hussain, Mohd. Kamaruddin Abd. Hamid. 2D CFD-PBM simulation of hydrodynamic and particle growth in an industrial gas phase fluidized bed polymerization reactor. Chemical Engineering Research and Design. 2015; 104 ():53-67.

Chicago/Turabian Style

Vahid Akbari; Tohid Nejad Ghaffar Borhani; Ahmad Shamiri; Roya Aramesh; Mohamed Azlan Hussain; Mohd. Kamaruddin Abd. Hamid. 2015. "2D CFD-PBM simulation of hydrodynamic and particle growth in an industrial gas phase fluidized bed polymerization reactor." Chemical Engineering Research and Design 104, no. : 53-67.

Journal article
Published: 01 November 2015 in Computers & Chemical Engineering
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A 2D computational fluid dynamics (Eulerian-Eulerian) multiphase flow model coupled with a population balance model (CFD-PBM) was implemented to investigate the fluidization structure in terms of entrance region in an industrial-scale gas phase fluidized bed reactor. The simulation results were compared with the industrial data, and good agreement was observed. Two cases including perforated distributor and complete sparger were applied to examine the flow structure through the bed. The parametric sensitivity analysis of time step, number of node, drag coefficient, and specularity coefficient was carried out. It was found that the results were more sensitive to the drag model. The results showed that the entrance configuration has significant effect on the flow structure. While the dead zones are created in both corners of the distributors, the perforated distributor generates more startup bubbles, heterogeneous flow field, and better gas-solid interaction above the entrance region due to jet formation

ACS Style

Vahid Akbari; Tohid Nejad Ghaffar Borhani; Roya Aramesh; Mohd. Kamaruddin Abd. Hamid; Ahmad Shamiri; Mohamed Azlan Hussain. Evaluation of hydrodynamic behavior of the perforated gas distributor of industrial gas phase polymerization reactor using CFD-PBM coupled model. Computers & Chemical Engineering 2015, 82, 344 -361.

AMA Style

Vahid Akbari, Tohid Nejad Ghaffar Borhani, Roya Aramesh, Mohd. Kamaruddin Abd. Hamid, Ahmad Shamiri, Mohamed Azlan Hussain. Evaluation of hydrodynamic behavior of the perforated gas distributor of industrial gas phase polymerization reactor using CFD-PBM coupled model. Computers & Chemical Engineering. 2015; 82 ():344-361.

Chicago/Turabian Style

Vahid Akbari; Tohid Nejad Ghaffar Borhani; Roya Aramesh; Mohd. Kamaruddin Abd. Hamid; Ahmad Shamiri; Mohamed Azlan Hussain. 2015. "Evaluation of hydrodynamic behavior of the perforated gas distributor of industrial gas phase polymerization reactor using CFD-PBM coupled model." Computers & Chemical Engineering 82, no. : 344-361.

Journal article
Published: 01 October 2015 in International Journal of Greenhouse Gas Control
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ACS Style

Tohid Nejad Ghaffar Borhani; Abbas Azarpour; Vahid Akbari; Sharifah Rafidah Wan Alwi; Zainuddin Abdul Manan. CO2 capture with potassium carbonate solutions: A state-of-the-art review. International Journal of Greenhouse Gas Control 2015, 41, 142 -162.

AMA Style

Tohid Nejad Ghaffar Borhani, Abbas Azarpour, Vahid Akbari, Sharifah Rafidah Wan Alwi, Zainuddin Abdul Manan. CO2 capture with potassium carbonate solutions: A state-of-the-art review. International Journal of Greenhouse Gas Control. 2015; 41 ():142-162.

Chicago/Turabian Style

Tohid Nejad Ghaffar Borhani; Abbas Azarpour; Vahid Akbari; Sharifah Rafidah Wan Alwi; Zainuddin Abdul Manan. 2015. "CO2 capture with potassium carbonate solutions: A state-of-the-art review." International Journal of Greenhouse Gas Control 41, no. : 142-162.

Research article
Published: 07 July 2015 in Industrial & Engineering Chemistry Research
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One of the key concerns of the purification section of a purified terephthalic acid (PTA) production plant is the deactivation of palladium supported on carbon (Pd/C) catalyst. In this work, the deactivation rate model of 0.5 wt % Pd/C catalyst has been developed considering temperature, active surface area, and residual catalytic activity. Moreover, the optimal operating conditions of the industrial hydropurification process have been investigated. The results show that PTA production rate (PPR) can be improved by 5.4% through 18% increase in hydrogen flow rate. Furthermore, PPR can be increased by 7.6% via the temperature rise in the reaction mixture. The optimization results further reveal that PPR can be enhanced by 17.3% by improving the feed concentration under the normal operation by means of limiting the inlet 4-carboxybenzaldehyde concentration. The research findings can be applied in the actual working plant to enhance the efficiency of the hydropurification process.

ACS Style

Abbas Azarpour; Tohid N.Borhani; Sharifah Rafidah Wan Alwi; Zainuddin Abdul Manan; Mazyar Madooli Behbehani. Prediction of Pd/C Catalyst Deactivation Rate and Assessment of Optimal Operating Conditions of Industrial Hydropurification Process. Industrial & Engineering Chemistry Research 2015, 54, 7067 -7082.

AMA Style

Abbas Azarpour, Tohid N.Borhani, Sharifah Rafidah Wan Alwi, Zainuddin Abdul Manan, Mazyar Madooli Behbehani. Prediction of Pd/C Catalyst Deactivation Rate and Assessment of Optimal Operating Conditions of Industrial Hydropurification Process. Industrial & Engineering Chemistry Research. 2015; 54 (28):7067-7082.

Chicago/Turabian Style

Abbas Azarpour; Tohid N.Borhani; Sharifah Rafidah Wan Alwi; Zainuddin Abdul Manan; Mazyar Madooli Behbehani. 2015. "Prediction of Pd/C Catalyst Deactivation Rate and Assessment of Optimal Operating Conditions of Industrial Hydropurification Process." Industrial & Engineering Chemistry Research 54, no. 28: 7067-7082.