Flow Modelling and Process Nowcasting

About the Group

The Flow Modelling and Process Nowcasting group is tackling major scientific challenges of concurrent flow measurement and modelling.

With the development of new technologies, new measurement data will become available, offering detailed information about the fluid structure in space and time across an entire pipe or vessel. This creates the opportunity to develop a whole new generation of coupled measurement and modelling techniques. The Flow Modelling and Process Nowcasting group focuses on the measurement of 3-D flow structure and how this can be input into computational fluid dynamics models to help calculate associated parameters which may not be measured directly. This research, combining cutting edge measurement with theory, allows much more accurate process control, management and optimisation and provides unrivalled predictive flow capabilities.

Meet the Team

Reza Ali

 Reza Ali

 Compartmental modelling and biological applications

ac3502@coventry.ac.uk

 Erdal Turkbeyler

 Computational fluid dynamics, multiphase flow in oil and gas, multiphase flow-meters; modelling urban microclimates and renewable energy technologies

ab0936@coventry.ac.uk

Ihjar Rusli

 Ihjar Rusli

ad1696@coventry.ac.uk

Dzariff-Bin-Zainal-Abidin

 Dzariff Bin Zainal Abidin

zainalad@coventry.ac.uk

Alistair Collins

 Alistair Collins

colli156@coventry.ac.uk

Theresa Leonard

 Theresa Leonard

leonar16@coventry.ac.uk

Zak Latif

Craig Marshall

Chris Mills

Suzzy Nsiegbe

Yessica Arellano-Prieto

Lawrence Tom

Hoi Yeung

ac7565@coventry.ac.uk

Honourary researcher

Bill Priddy

Honourary researcher

Projects

Feature Project: Metrological support for Liquefied Natural Gas and Liquefied Biogas as a transport fuel

Liquefied natural gas (LNG) and liquefied biogas (LBG) as a transport fuel is one of the pillars of the European clean fuel strategy. These fuels are particularly suited for long-distance road transport, as the alternatives for diesel are limited. LNG enables meeting the stringent pollutant emission limits of the future more cost-efficiently compared to conventional fuels. Furthermore, engines running on LNG produce much less noise than diesel operated engines and therefore trucks on LNG are becoming the preferred choice for deliveries in urban areas.

However, the large scale roll-out of these transportation fuel requires reliable determination of the amount, composition and physical properties of the fuel. 

The overall aim of this project is to enable the large scale roll-out of LNG and LBG as a transport fuel. This project brings together the expertise from industry, instrument manufacturers and applied scientific institutes to produce the necessary test facilities and validation methods.

The world will be dependent for many decades to come on the production of oil and gas for its underpinning energy needs. Over half of the world’s energy demand is satisfied from oil and gas. When oil is extracted from a well it typically exists as a multiphase flow, comprising time-varying ratios of oil, water and gas. Measuring the flow rate of each component is an underpinning metrology requirement of sub-sea production, a direction in which the industry has been moving for a number of years.

Typical multiphase flow measurement systems can have an uncertainty on component flow rate of 20% or greater under field conditions. The financial exposure alone from this uncertainty is difficult to quantify but thought to be in the region of many $ billions. There is also the cost of production inefficiencies and sub-optimal decision-making that can result from the stated measurement uncertainty. Despite this, the industry has struggled to improve upon these levels of uncertainty.

Beside the intrinsic complexity of the fluids and the relative infancy of the technology, lack of standardised facilities (and procedures) for testing MPFMs for either development or evaluation purposes, is seen as a major barrier to the ongoing development and improvement in multiphase metering technology.

The project has addressed this problem by creating the world’s first multiphase measurement harmonisation. The preceding EMRP project ENG58 MultiFlowMet developed and piloted an approach for such harmonisation and this follow-on project is applying the harmonised approach to an enlarged network of laboratories, covering a wider range of flow conditions with applicability across a wider range of multiphase meter types.

This joint research project is funded by EURAMET and involves eleven partners from across Europe. For more information see the project website.

Doctoral Opportunities

FCS PhD Opportunities

If you think you have what it takes to study for a PhD with us then take a look at the current PhD opportunities that are available within the Centre. We also welcome applications from suitably qualified self-funded or sponsored PhD candidates if they are in areas directly relevant to our research themes. The next step, once you have identified the research area of interest, is to contact the relevant academic and have an informal discussion with them. The academic can then advise you whether to proceed with a formal application.

Newton Institutional Links
FCS Engineering Doctorate Opportunities

Our Engineering Doctorate in Flow Measurement and Fluid Mechanics is a PhD-level qualification aimed at individuals who have a career, or wish to pursue a career, as an active researcher in industry. Typically, the Engineering Doctorate qualification is undertaken part-time, whilst working in industry. For employers it provides an opportunity to raise the level of skills of their research staff, allowing them to support the on-going developing of their own experts, who can influence and inspire those working around them. For individuals it provides the relevant technical, business and personal development required to become one of the senior technical managers of the future. For more information on our Engineering Doctorate Programme take a look at the course specification or contact us on research.eec@coventry.ac.uk.

View current PhD opportunities