A team of students from the Faculty of Engineering, Ain Shams University, Department of Mechanical Power Engineering, won 1st  place in the challenge of “Techno-Economic assessment of green hydrogen production ” and the 3rd place in the world in the global competition presented by the MathWorks program In the  challenge among 16 challenges in sustainability and renewable energy challenges under the name of (The 2023 Sustainability and Renewable Energy Challenge)

 Mohammed Khaled Khalaf, Karim Mohammed El-Lethy, Hazem Hossam Ibrahim, Nourhan Nasser Abd Elzaher, Salma Abdelbasset Ali, Mayar Sayed Mohammed, and Aya Hesham Mustafa all participated together.

  This is under the supervision of:

 Dr.Hany El-Sayed Abdel-halim Saad (Assistant Professor in Mechanical Power Engineering), Dr.  Ashraf Mostafa (Assistant Professor in Mechanical Power Engineering), Dr.  Hamada Galal (Assistant Professor in Engineering Physics and Mathematics), and Dr. Mohamed Ezzat (Associate Professor in Electrical Power and Machines Engineering).

 This team of students presented a comprehensive evaluation of green hydrogen production using a Simscape model. The model includes a set of systems: a solar cell system for generating solar energy, energy storage batteries, a system for connecting to the electricity grid, and a water electrolyser for hydrogen production;  This model was controlled by writing a code that combines economic and technical systems and inputs using the MATLAB program to analyze data and improve performance and costs of hydrogen production by reducing dependence on electrical grid energy and being satisfied with solar energy by storing it in the storage system for use at night, because it is a clean renewable source of green hydrogen production, they added economic signals to the Simscape model, including capital cost, operational cost, and power grid cost, covering 242 sites around the world.

 They then developed an energy storage system to reduce the cost of the electricity grid at a particular location, and by adjusting the size of the energy storage system at each location so that no electricity grid was needed.

 The team's work has demonstrated an understanding of how engineering innovation and economic analysis together enable decarbonisation pathways.