Unfortunalty this page isn't in your translated language
Contact Lanner
CONTACTER LANNER
Complete the form below for a quick response from a Lanner representative or call us on +44 (0)121 709 6520 or +1 713 532 8008. If you require support, please visit my.lanner.com
Remplissez le formulaire ci-dessous pour obtenir une réponse rapide d'un représentant Lanner ou appelez-nous au +33 1 87 16 90 15. Si vous avez besoin d'assistance, merci de vous connecter sur my.lanner.com
Thank you for your enquiry.A member of our team will be in touch as soon as possible.
In this excellent presentation, Robbie Mulvany from the University of Greenwich and Michael Higgins from Ford Motor Company, highlighted the high costs of producing compressed air in manufacturing and the capability of simulation modelling to identify waste and savings potential.
The WITNESS model utilised a novel modelling approach to simplify the use of compressed air in a way that leads to efficient modelling; the presented “AirBlocks” methodology significantly reduces the aggregate data required to represent the dynamic and interdependent nature of the compressed air systems. By combining the AirBlocks approach with a manufacturing simulation model, a compressed air demand profile can be developed. This illustrates periods of sustained peak, average and minimum air demand and incidents of production stoppages due to air starvation. This data enables right sizing of compressor facilities and understanding of the effects of different production control.
WITNESS offers many methods to model energy use. The ‘Costing and Sustainability’ dialog allows the definition of any resource and the appropriate units for measurement. Usage can then be overlaid on a process or facility model and a full report is automatically generated. If you would like to see examples of WITNESS being used to model Electricity and Water usage, please contact me at twaller@lanner.com for more information on these applications.
To read the full conference paper, please click here.
Paper Authors
•Robbie Mulvany, Dr. Alan Arokiam, Dr. Hafid Belaidi -University of Greenwich, Faculty of Engineering and Science
•John Ladbrook, Michael Higgins -Ford Motor Company, Dunton Technical Centre
Loading blog comments..
Subscribe to stay up to date with the latest predictive simulation news, blogs and customer stories!