Description

In recent times, hydrogen is being considered an eco-friendly alternative to traditional fuels, particularly in the transportation industry. Hydrogen fuel cell electric vehicles (FCEVs) are projected to increase by 95.4% from 2020 to 2030. So, there is a need to strengthen the hydrogen supply chain, improve the existing infrastructure, and increase the number of hydrogen refueling stations (HRS). The journey between the production of hydrogen till dispensing it to the fuel tanks of FCEVs requires smart supervision for uninterrupted supply. A comprehensive software is required along the value chain to supply hydrogen seamlessly.

Our idea is to develop an algorithm to maximize the efficiency of HRS. The algorithm would comprise fleet management, fuel level indicators, fuel properties (temperature, tank pressure, etc), fuel availability in storage tanks, and refueling database. It is designed to be user-friendly and highly efficient in station maintenance. Eventually, this algorithm would be translated into software that can optimize the operation of HRS. With all necessary system parameters, the software reduces the waiting time of FCEV users, thereby improving fleet management. It is backed up by 24*7 customer support for any technical issues faced.

The initial prototype would be programmed in Python.

The team

Keerthika Balavannan - MS in Sustainable Energy Systems with background in Chemical Engineering. Prior academic experience in hydrogen related projects.

Dharshan Siddarth Mohan - MS in Sustinable Energy Engineering with background in Mechanical Engineering. Skilled in AWS, Python, Java.