Enel Green Power (EGP) is a global leader in the development and management of energy production from renewable sources (wind, solar, hydroelectric, marine, and geothermal).
The Innothon challenge is focused on the realization of an autonomous robotic platform, capable of moving around renewable plants to carry out data collection, inspections, and small maintenance activities.
The Innothon Challenge is a unique opportunity for Europeans or those with a Student Schengen Visa based in Europe from 18 to 28 years old only to showcase their talent to Enel Green Power.
Individuals or teams consisting of up to 5 eligible members are allowed to participate.
Over the last few years, we have pursued advances in various technologies, positioning EGP at the forefront of the energy transition. To reach our global future goal of zero emissions we will leverage technologies such as artificial intelligence (AI) and automation robotics, advances that are helping to improve the performance and efficiency of renewable energy plants.
Combined with automated technologies, advanced robotics can be used to control and maintain equipment in renewable energy plants and reduce the need for human intervention, increasing overall efficiency and reducing the risk of human error.
The Innothon challenge seeks an autonomous robotic platform, capable of moving around renewable plants to carry out data collection, inspections, and small maintenance activities.
The solution must be autonomous in fulfilling the missions, with a dashboard allowing an operator to define the mission goals for each specific task. Moreover, it should be equipped with AI features to support basic data analytics.
This Challenge provides a contribution to the following Sustainable Development Goals:
SDG 9: Industry, Innovation and Infrastructure
SDG 12: Responsible Consumption and Production
SDG 13: Climate Action
For questions about the challenge and your proposal you can contact [email protected]
Explain your proposal clearly in English, attach documents (max 5 files, 25MB total size) if needed.
This is a Reduction to Practice Challenge that requires written documentation, experimental proof-of-concept data, and prototype delivery for the purposes of evaluating the effectiveness of the solution.
Individuals or teams consisting of up to 5 eligible members are allowed to participate.
Awards:- Up to $10,000 in total
Deadline:- 10-04-2023
