Department of Chemical Engineering
Haroun Mahgerefteh's Webpage
Professor in Chemical Engineering
MSc Programme Tutor
Prof Haroun Mahgerefteh
Department of Chemical Engineering
University College London
London WC1E 7JE
Haroun Mahgerefteh obtained his PhD in Chemical Engineering from Imperial College. This was followed by a 2-year postdoctoral fellowship funded by the Royal Society Paul Instrument Fund at the same institution. Haroun Mahgerefteh is currently Professor of Chemical Engineering at University College London. His main research expertise are in multi-phase CFD flow modelling of hydrocarbon transportation pipelines, safety and loss prevention in the oil and gas industries, particularly with reference to pipeline rupture safety assessment. He is the author of the computer program PipeTech which is expansively employed by oil and gas operators across the globe for the safety assessment of high pressure transportation pipelines.
Professor Mahgerefteh has also significant research interest in Carbon Capture and Sequestration where he coordinates the EC FP7 projects, CO2PipeHaz and CO2QUEST. He is principal investigator of the UKCCSRC project on heterogeneous flow modelling of CO2 pipelines and co-investigator in the EPSRC MATTRAN and National Grid COOLTRANS projects.
Professor Mahgerefteh is the Programme Coordinator for MSc in Chemical Process Engineering at UCL. He is a Chartered Engineer, a Fellow of the Institution of Chemical Engineers, and member of the IChemE Subject Group in Safety and Loss Prevention.
His past and present professional activities include membership of the editorial board of Journal of Process Mechanical Engineering, International Journal of Greenhouse Gas Control, and the External Examiner for the Universities of Cambridge (MPhil in Advanced Chemical Engineering) and Sheffield (MSc(Eng) Process Safety and Loss Prevention).
Safety and Loss Prevention
Safety and loss prevention in the process industries, particularly in oil and gas, is of paramount importance. Accidents in such sectors can lead to catastrophic consequences involving loss of life, damage to the environment and significant financial penalties. In 2010 for example, the Deepwater Horizon oil spill in the Gulf of Mexico killed 11 men working on the platform and injured 17 others. Over 185 million gallons of crude oil was released into the Gulf of Mexico contaminating an area of several thousand square kilometres.
Our research in safety and loss prevention is focused on the development of mathematical models and computer simulations for predicting the consequences of accidental releases in the oil and gas industries. Such knowledge is essential in determining the minimum safe distances to populated areas, accident mitigation and emergency response planning. Recently our work has extended to the safety assessment of CO2 pipelines to be used for transporting captured CO2 from fossil fuel power plants for subsequent storage. This process is being developed as the primary means for reducing the impact of global warming.
The following are examples of some of the current and recently completed projects:
- CO2 pipelines safety assessment
- Blowdown simulation
- Thermal response of pressurised vessels during blowdown under fire attack
- Fast numerical simulation for predicting outflow following pipeline rupture
- Modelling of dynamic response of ESDV following pipeline rupture
Our research in instrumentation is mainly concerned with the design and development of novel techniques for applications in environmental pollution monitoring and particle technology. The work is highly industrially oriented thus enjoying close links with industry, having resulted in several awards and prizes. Students with interest in experimental work and theoretical modelling are welcome to apply to carry out research work in this area.
Professor Mahgerefteh's teaching activities are mainly in the areas of thermodynamics and process safety and loss prevention. Below are the modules he is currently involved in teaching. (Note that each link is restricted to access only by students currently registered on the module.)
Page last modified on 12 dec 14 16:55