Overview
In this webinar, we will show how to architect a techno-economic optimization framework in MATLAB. We will use a power-to-gas example, where a microgrid with renewable energy and energy storage will be optimized in terms of power rating and energy rating, such that we can power an electrolyzer to produce green hydrogen at the lowest cost and maximum rate-of-return over a 20-year period.
Highlights
You will learn how to architect a techno-economic optimization in MATLAB and apply it to the optimization of a microgrid with energy storage, renewable energy, and green hydrogen production.
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.
Chris Lee is a senior product manager for optimization at MathWorks. He works with customers, field engineers, and the software development team to define new optimization capabilities and applications to serve the diverse industries where optimization is used, including aerospace and defense, automotive, energy, and manufacturing. Prior to MathWorks, Chris worked at Dassault Systèmes as a product manager for aerodynamic design optimization. He holds a master’s degree in aerospace engineering from the University of Toronto.
