Develop Data Center Cooling Systems with MATLAB and Simscape

In this webinar, we will show how Simscape and MATLAB can be used to develop data center cooling systems and how we can map computational tools to different stages of a technology development cycle. We will show how to,

• Model data center cooling systems in Simscape.
• Create synthesized data from a data center cooling simulation over a one-year period that can be used to inform techno-economic optimization of a renewable energy microgrid that powers the cooling system.
• Add an optimization layer to a data center cooling simulation that can optimize key thermal system parameters.
• Add an optimized energy management system on the microgrid system that will update operational setpoints based on day-ahead forecasting.

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenters

Graham Dudgeon is Consultant Product Manager for Electrical Technology at MathWorks. Over the last two decades Graham has supported several industries in the Electrical Technology area, including Aerospace, Marine, Automotive, Industrial Automation, Medical Devices and Power & Utilities. Graham’s technical experience covers - Transmission & Distribution, Grid Integration, Renewable Energy, Power Conversion, Motors & Drives, Microgrids, Electric Aircraft, Electric Ship and Electric Vehicle, with an emphasis on system modeling and simulation, control design, real-time simulation, machine learning and data analytics. Prior to joining MathWorks, Graham was Senior Research Fellow at the Rolls-Royce University Technology Centre in Electrical Power Systems at the University of Strathclyde in Scotland, UK.

Leo Ng is a principal engineer on the Simscape™ libraries team focusing on the development of Simscape Fluids™. Before joining MathWorks in 2013, he worked at the Computer Science Research Institute at Sandia National Labs. He received his Ph.D. and S.M. in aerospace computational engineering from MIT and his B.A.Sc. in engineering science from University of Toronto. His area of research was optimization under uncertainty in aerospace systems.