UK spin-out’s modelling software slashes compressor energy consumption - PES Media

2022-09-23 22:44:19 By : Ms. selling VEVOR

A British university spin-out company has refined mechanical analysis software to improve the efficiency of compressors and pumps that has the potential to save industry millions of kilowatts of energy – equivalent to more than 1% of the United States’ entire energy consumption in just one application.

The computational fluid dynamics (CFD) modelling software – called screw compressor rotor grid generator, or ‘SCORG’ – developed by PDM Analysis, a spin-out of City, University of London, is designed for screw compressors, expanders and pumps that are used in many industrial applications including refrigeration and air conditioning.

Data analysed by SCORG allows compressor manufacturers to design machines and compressors that run more efficiently, reducing their energy consumption and carbon emissions by up to 5%.

Refrigeration alone contributes about 25% of total energy usage in the United States in the summer months, and compressors are found in all refrigeration and air conditioning devices. Researchers at City University and PDM Analysis believe that using SCORG to design compressors in refrigeration alone and cutting their energy usage by 5%, could save over 1% of total US energy consumption.

This calculation excludes the energy savings from using this technology for industrial applications like oil and gas and process gases. The performance of screw expanders, gear and fuel pumps, motors, roots blowers, and liquid and progressive cavity pumps can also be improved, meaning the true potential for energy and CO2 saving using this analysis is much higher.

Screw compressors work by reducing a gas volume using rotating interlocking rotors which increases the temperature and pressure of the gas inside the chamber. The software works by accurately analysing fluid property changes within the complex spaces inside the chamber, using CFD modelling. SCORG divides the chamber volume into numerical cells using a specialised procedure to form a numerical grid.

PDM Analysis management team: Ahmed Kovecevic (seated)

Professor Ahmed Kovacevic, who started researching CFD analysis for screw compressors for his PhD at City University in 2002, has been refining this game-changing modelling ever since.

“Pressure and temperature increases are caused by the reduction of volume in the compressor – you squeeze the gas between the compressor elements,” says Professor Kovacevic.

“In a screw compressor these form very complex shapes, formed by the rotors and the casing. The main obstacle in using CFD to see inside these machines was the lack of a reliable method to produce a numerical grid needed for modelling these machines with CFD, which our method has achieved.”

Donald Lawson, R&D manager of Glasgow-based Howden Compressors, a world leader in fluid handling equipment said: “In 2010 Howden Compressors was awarded a multi-million pound order for 77 Howden oil-injected screw compressors that we attribute to an upgraded design developed using SCORG and IP from City, University of London. This led to tripling the turnover of the company in 2011-12.”

Industry statistics indicate that there are up to 700 compressor companies in the world and SCORG has been used by almost a third of them, so there is huge potential to increase the efficiency of millions of more machines.

The global market for screw compressors is predicted to be worth $11 billion p/a by 2021 with compound growth of 6.62%, according to analysts Markets and Markets.

“With our software, companies can improve their operating efficiencies by 4, 5, and up to 6% – this is a huge improvement for machines that are already extremely efficient,” says Professor Mr Kovacevic.

For more information about SCORG, PDM Analysis and City University’s screw compressor design research, please contact:

Professor Ahmed Kovacevic School of Mathematics, Computer Science and Engineering Centre for Compressor Technology Tel: +442070408780 email: a.kovacevic@city.ac.uk

PDM Analysis www.pdmanalysis.co.uk

City, University of London https://www.city.ac.uk

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