Dr Tohid N.Borhani

Dr Tohid N.Borhani

Senior Lecturer in Chemical Engineering (Accepting Self Funded PhD students)

  • Email address T.Borhani@wlv.ac.uk
  • Location WV1 1LY
  • Faculty Faculty of Science and Engineering
  • Institute School of Engineering
  • Areas of expertise

    1.Process Modelling and Simulation (Matlab, Aspen One, ProMax, and gPROMS)

    2.Carbon Capture and Utilisation (CCU)

    3.Chemical Engineering (Transport Phenomena, Separation Methods, Reactor Design, Thermodynamics)

    4.Data Mining and Analysis (Python and Matlab) & Chemometric (QSPR/QSAR)

    5.Application of Artificial Intelligence (ANFIS, ANN, GP, SVM,...) in Chemical Engineering

University of Wolverhampton:

I just started my job as Lecturer in Chemical Engineering in December 2020 and I am involved in the teaching of different chemical engineering courses. I am doing research in my fields of study and working on research proposals.

Heriot-Watt University:

I was Assistant Professor at Heriot-Watt University for one year and taught Heat Transfer, Process Control and Modelling, and Process Design to bachelor students. I was involved in Module development for Carbon Solution course for MSc students. In this module, we have considered different aspects of carbon capture, utilisation and storage (CCUS). I have achieved the title of FHEA through My Academy.

Cranfield University:

I was Research Fellow at Cranfield University and worked on the techno-economic assessment of biogas upgrading process and also adsorption of CO2 from flue gas using TSA and PSA methods. I also have worked on Integration of Solid Oxide Fuel Cell and Refrigeration Systems.

The University of Sheffield:

I was Research Associate at The University of Sheffield and worked on modelling of CO2 capture using MEA in equation-oriented approach in gPROMS. I have passed the PGCert programme for 2 years and finally graduated by achieving the Postgraduate Certificate in Teaching for Learning in Higher Education (EDUT233). After that, I have achieved the title of AFHEA through My Academy.

Imperial College London:

I was also Research Associate at Imperial College London. I carried out research in the area of model-based approaches to the design of solvents to enhance reaction performance (kinetics, selectivity). I used my knowledge in the Chemometric and Quantitative Structure-Property Relationship (QSPR) for prediction of Free Energy of Solvation for a series of solutes in a series of solvents. I developed a big data set by 60000 data points. I used partial least square (PLS), principal component regression (PCR), multilinear regression (MLR), and artificial neural network (ANN) methods to develop the model. I performed quantum mechanical (QM) calculations to obtain the required parameters (descriptors) for QSPR model.

University Technology Malaysia:

In my PhD I modelled and simulated amine promoted potassium carbonate solution for CO2 capture in Matlab and Aspen Plus. As a postdoctoral researcher, I worked on modelling of simultaneous CO2 and H2S capture using MDEA solution in Matlab. In addition to my PhD project, I worked on different projects related to Chemometric and Artificial Intelligence (AI) applications in QSPR/QSAR modelling and also Reactor Modelling using CFD and first principle approach.

  • Process modelling and simulation (With a focus on Carbon Capture)
  • Data-driven chemometric modelling, and computational chemistry
  • Computational Fluid Dynamics (CFD) of reactor networks
  • Application of Artificial Intelligence in Chemical Engineering
  • Energy conversion and storage

 

Title of potential PhD projects:

  • First principle modelling and machine learning modelling of CO2 utilisation processes
  • QSPR/QSAR and computational chemistry study on solvent based CO2 capture
  • Comparison of different machine learning methods to model CO2 adsorption process
  • Computer-aided molecular design of imidazole using different machine learning methods
  • Ionic liquid screening using machine learning

 

Current PhD and MSc students:

Sara Elmarghni. PhD porject: Experimental, machine learning and first principle modelling study of CO2 absorption using novel ionic liquids and new developed amines

Anirudh vangapally. MSc project: Combination Of Heating, Cooling, And Power-Efficient Systems

Abhilash, Uppunuthula. MSc project: Wind Turbine Harmonic Emissions and Propagation Through Wind Farm Using ANN Model

  • Associate Member of Energy Institute (EI) (Membership No.: 0070831)
  • Member of Royal Society of Chemistry (RSC) (Membership No.: 628409)
  • Academic Member of UK QSAR and Cheminformatics Group (UKQSAR)
  • Academic Member of United Kingdom Carbon Capture and Storage (UKCCS)
  • BSc in Chemical Engineering (University of Tehran)
  • MSc in Chemical Engineering (University of Tehran)
  • PhD in Chemical Engineering (University Technology Malaysia)
  • Fellow of the Higher Education Academy (FHEA). Recognition reference: PR186871
  • Postgraduate Certificate in Teaching for Learning in Higher Education (EDUT233) (PGCert) (University of Sheffield)

CO2 Capture Processes Modeling:
  • Thermodynamic models applied to CO2 absorption modelling. Tohid N.Borhani, Seyed A. Nabavi, Dawid P. Hanak, Vasilije Manovic. Reviews in Chemical Engineering. (2020) (Q1, Impact Factor: 4.200)
  • Status and perspective of CO2 absorption process. Zhien Zhang, Tohid N.Borhani, Abdul G Olabi. Energy. 205 (2020) 118057 (Q1, Impact Factor: 5.537)
  • Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed (RPB) stripper. Tohid N.Borhani, Meihong Wang. Journal of Industrial and Engineering Chemistry. 57 (2019) 285-295 (Q1, Impact Factor: 4.978)
  • Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed (RPB) absorber. Tohid N.Borhani, Eni Oko, Meihong Wang. Journal of Cleaner ProductioN.10 (2018) 1124-1142. (Q1, Impact Factor: 6.395)
  • Comparison between performances of different chemical solvents for biogas upgrading. Technical and economical assessment. Tohid N.Borhani and Vasilije Manovic. Under preparation.
  • Modeling Study on CO2 and H2S Simultaneous Removal using MDEA SolutioN.Tohid N.Borhani, Morteza Afkhamipour, Abbas Azarpour, Vahid Akbari, Seyed Hossein Emadi, Zainuddin A. ManaN.Journal of Industrial and Engineering Chemistry. 34 (2016) 344-355. (Q1, Impact Factor: 4.978)
  • Activity coefficients modelling of alkyl ammonium salts aqueous solutions using Extended-UNIQUAC model. Vahid Akbari, M.R.Dehghani, Tohid N.Borhani. Journal of Solution Chemistry. 45 (2016) 1434-1452. (Q2, Impact Factor: 1.401)
  • CO2 Capture with Potassium Carbonate Solutions: A State-of-the-Art Review. Tohid N.Borhani, Abbas Azarpour, Vahid Akbari, Sharifah Rafidah Wan Alwi, Zainuddin Abdul ManaN.International Journal of Greenhouses Gas Control. 41 (2015) 142-162. (Q1, Impact Factor: 3.231)
  • Comparison of Equilibrium and Non-Equilibrium Models of a Trayed Column for Post-Combustion CO2 Capture Using DEA-Promoted Potassium Carbonate SolutioN.Tohid N.Borhani, Vahid Akbari, Morteza Afkhamipour, Mohd. Kamaruddin Abd. Hamid, Zainuddin Abdul ManaN.Chemical Engineering Science. 122 (2015) 291-298. (Q1, Impact Factor: 3.372)
  • Rate-Based Simulation and Comparison of Various Promoters for CO2 Capture in Industrial DEA-Promoted Potassium Carbonate Absorption Unit. Tohid N.Borhani, Vahid Akbari, Mohammad Kamaruddin Abdul Hamid, Zainuddin Abdul ManaN.Journal of Industrial and Engineering Chemistry. 22, (2015), 306–316. (Q1, Impact Factor: 4.978)
  • Prediction of heat capacity of amine solutions using artificial neural network and thermodynamic models for CO2 capture processes. Morteza Afkhamipour, Masoud Mofarahi, Tohid N.Borhani, Masoud Zangeneh. Heat Mass Transfer. (2017) 1-12. (Q2, Impact Factor: 1.494)
  • Solubility of CO2 in aqueous solutions of Glycerol and Monoethanolamine. Shervan Babamohammadi, Ahmad Shamiri, Tohid N.Borhani, M. S. Shafeeyan, Mohamed Kheireddine Aroua. Journal of Molecular Liquids. 249, (2018), 40–52. (Q1, Impact Factor: 4.561)
  • Role of solvents in CO2 capture processes: The review of selection and design methods. Tohid N.Borhani and Meihong Wang. Renewable and Sustainable Energy Reviews. 114, (2019), 109299 (Q1, Impact Factor: 10.556)

QSPR/QSAR and Chemometric Modeling:
  • Hybrid QSPR models for the prediction of the free energy of solvation of organic solute/solvent pairs. Tohid N.Borhani, Salvador García-Muñoz, Carla Vanesa Luciani, Amparo Galindo, Claire AdjimaN.Physical Chemistry Chemical Physics. 21 (2019) 13706-13720. (Q1, Impact Factor: 4.449)
  • QSPR Prediction of the Hydroxyl Radical Rate Constant of Water Contaminants. Tohid N.Borhani, Mohammadhossein Saniedanesh, Mehdi Bagheri, Jeng Shiun Lim. Water Research. 98 (2016) 344-353. (Q1, Impact Factor: 7.913)
  • QSPR Estimation of the Auto-Ignition Temperature for Pure Hydrocarbons. Tohid N.Borhani, Afsaneh Afzali, Mehdi Bagheri. Process Safety and Environmental ProtectioN.103 (2016) 115-125. (Q1, Impact Factor: 4.384)
  • A Simple Modeling Approach for Prediction of Standard State Real Gas Entropy of Pure Materials. Mehdi Bagheri, Tohid N.Borhani, Amir Hossein Gandomi, Zainuddin Abdul ManaN.SAR and QSAR in Environmental Research. 25 (2014) 695-710. (Q2, Impact Factor: 2.227)
  • Simple yet Accurate Prediction of Liquid Molar Volume via Their Molecular Structure. Mehdi Bagheri, Tohid N.Borhani, Gholamreza Zahedi. Fluid Phase Equilibria. 337 (2013) 183-190. (Q1, Impact Factor: 2.514)
  • Molecular Modeling of the Ideal Gas Enthalpy of Formation of Hydrocarbons. Tohid N.Borhani, Mehdi Bagheri, Zainuddin Abdul ManaN.Fluid Phase Equilibria. 360 (2013), 423–434. (Q1, Impact Factor: 2.514)
  • Estimation of Flash Point and Autoignition of Organic Sulfur Chemicals. Mehdi Bagheri, Tohid N.Borhani, Gholamreza Zahedi. Energy Conversion and Management. 58 (2012) 185-196. (Q1, Impact Factor: 6.377)

Energy Conversion and Rector Modeling:
  • The Multiscale Challenge of Biomass Pyrolysis and Upgrading: Review of the State of Art and Potent Future Research Directions. Mahdi Sharifzadeh, Majid Sadeqzadeh, Mia Guo, Tohid N.Borhani, Murthy N.V.S.N.Konda, Marti Cortada Garcia, Lucy Wang, Jason Hallet, Nilay Shah. Progress in Combustion and Energy Science. 71 (2019) 1-80 (Q1, Impact Factor: 26.467)
  • A Generic Hybrid Model Development for Process Analysis of Industrial Fixed-Bed Catalytic Reactors. Abbas Azarpour, Tohid N.Borhani, Sharifah Rafidah Wan Alwi, Zainuddin Abdul Manan, Mohamed Ibrahim Abdul Mutalib. Chemical Engineering Research and DesigN.117 (2017) 149–167. (Q1, Impact Factor: 3.073)
  • Evaluation of Hydrodynamic Behavior of the Perforated Gas Distributor of Industrial Gas Phase Polymerization Reactor using CFD-PBM Coupled Model. Vahid Akbari, Tohid N.Borhani, Ahmad Shamiri, Mohd. Kamaruddin Abd. Hamid. Computers and Chemical Engineering. 82 (2016) 344-361. (Q1, Impact Factor: 3.334)
  • Prediction of Pd/C Catalyst Deactivation Rate and Assessment of Optimal Operating Conditions of Industrial Hydropurification Process. Abbas Azarpour, Tohid N.Borhani, Sharifah R. Wan Alwi, Zainuddin Abdul ManaN.Industrial & Engineering Chemistry Research. 54 (2015) 7067–7082. (Q1, Impact Factor: 3.375).
  • 2D CFD-PBM simulation of hydrodynamic and particle growth in an industrial gas phase fluidized bed polymerization reactor. Vahid Akbari, Tohid N.Borhani, Hamid Reze Godini, Mohd. Kamaruddin Abd. Hamid. Chemical Engineering Research and DesigN.104 (2015) 53-67. (Q1, Impact Factor: 3.073)
  • A CFD-PBM Coupled Model of Segregation in an Industrial Gas-Phase Polymerization Reactor. Vahid Akbari, Tohid N.Borhani, Ahmad Shamiri, Mohd. Kamaruddin Abd. Hamid. Chemical Engineering Research and DesigN.96 (2015) 103-120. (Q1, Impact Factor: 3.073)
  • Model-Based Analysis of Impact of Distributor on the Performance of Industrial Polydisperse Gas Phase Fluidized Bed Polymerization Reactors. Vahid Akbari, Tohid N.Borhani, Hamid Reze Godini, Mohd. Kamaruddin Abd. Hamid. Powder Technology. 267 (2014) 298-411. (Q1, Impact Factor: 3.413)
  • Modelling and Sensitivity Analysis of Integrated Solid Oxide Fuel Cell with Absorption Refrigeration Systems. Krzysztof Matuszny, Tohid N.Borhani, Ali Nabavi, Dawid Hanak. Clean Energy. Accepted.

Books and Book Chapters:
  • Machine Learning Applications in Chemical Engineering, book chapter in Machine Learning in Chemistry, Royal Society of Chemistry. 340-371. ISBN: 978-1-78801-789-3
  • Energy Storage, book chapter in Sharifzadeh, M. 2020. Design and Operation of Solid Oxide Fuel Cells: Multidisciplinary Industrial Applications, Elsevier Science. 445-463. ISBN: 978-0-12-815253-9
  • Carbon Capture, book chapter in Dincer, I., Colpan, C. O. & Kizilkan, O. 2017. Exergetic, Energetic and Environmental Dimensions, Elsevier Science. ISBN: 978-0-12813-734-5
  • Petroleum Reservoir Rock and Fluid Properties by Abhijit Dandekar translation to PersiaN.ISBN: 978-600-133-012-4
  • Conduction Heat Transfer by Arpaci translation to PersiaN.ISBN: 978-600-133-045-2
  • Problems Solutions of Conduction Heat Transfer ISBN: 978-600-133-051-3

Title of potential PhD projects:

  • First principle modelling and machine learning modelling of CO2 utilisation processes
  • QSPR/QSAR and computational chemistry study on solvent based CO2 capture
  • Comparison of different machine learning methods to model CO2 adsorption process
  • Computer-aided molecular design of imidazole using different machine learning methods
  • Ionic liquid screening using machine learning