Shell.ai

OPENS AT: Sep 14, 2020, 08:00 AM

CLOSES AT: Oct 20, 2020, 01:20 PM

DURATION: 36 days 5h 20m

Shell.ai Hackathon

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ABOUT CHALLENGE

Announcement

Thank you for participating in the Shell.ai Hackathon for Sustainable and Affordable Energy. We have split the top teams into three categories based on their Private Leaderboard Scores. These categories are Gold, Silver and Bronze.

  • Gold Category: All teams in the Gold Category have been shortlisted for the video pitch round and stand a chance to win the General Edition prizes. The details of the video pitch round will be communicated to the team leaders of the respective teams over an email.
  • Silver & Bronze Categories: These teams have not been shortlisted for the pitch round but, will be receiving Silver and Bronze digital certificates and more rewards from Shell.
  • Special University Edition: These are the top teams in the Special University Edition from each zone that have been shortlisted for the video pitch round and stand a chance to win Special University Edition Prizes. The details of the video pitch round will be communicated to the team leaders of the respective teams over an email.

Note:

  • All the teams have been shortlisted based on their private leaderboard score. The private leaderboard will be published after the final award ceremony on 12th November 2020.
  • All teams that have made a valid submission for the hackathon will receive a digital participation certificate.
  • Special University Edition shortlist is subject to background verification.

The recorded video pitches from the shortlisted teams will be uploaded on the Shell.ai Hackathon page where you will be able to vote for your favourite teams between 3rd November 2020 and 10th November 2020. Tune in to the final award ceremony on 12th November 2020 to see which teams are crowned winners.

Here are the shortlisted teams:

General Edition Gold Category

Selected Teams

Arpit-Bansal-Team

none-above

ChaiAtChea

Pradeep-Gopalakrishnan-Team

Ctrl.Alt.Elite

Space-Revitalizers

DeltaPhiAlpha

Team-7

In.a.Nutshell

 

Special University Edition

Selected Teams

ChaiAtChea

Pradeep-Gopalakrishnan-Team

Ctrl.Alt.Elite

Crude-o-Magnet

deepwizAI.com

Suraj-K-Team

none-above

Team-7

Optimization_Matters

UNCERTAINITY

Silver & Bronze Categories

Selected Teams

Silver Category

Bronze Category

Blasters

Wind-watchers

data_007

Lakhi_Charan_Mahato

DeepBlue

Optimization_Matters

penguins408

Adityaraj-Singh-Chouhan-Team

Soumojit-Kumar-Team

faceless_hunters

Suraj-K-Team

UNCERTAINITY

 

Airborne

 


 

Shell.ai Hackathon for Sustainable and Affordable Energy

The world needs to move to a cleaner energy system if it is to meet growing energy demand while tackling climate change. In April 2020, Shell shared its ambition to become a net-zero emissions energy business by 2050, or sooner.

Renewable electricity is central to this ambition. Electricity is the fastest-growing part of the energy system and, when generated from renewable sources such as wind, has a big role to play in reducing greenhouse gas emissions. We see digitalisation and AI as key enablers to the energy transition.

Challenge: Windfarm Layout Optimisation

In this Shell.ai Hackathon for Sustainable and Affordable Energy, we invite you to optimise the placement of 50 wind turbines of 100 m height and100 m rotor diameter each on a hypothetical 2D offshore wind farm area such that the AEP (Annual Energy Production) of the farm is maximized. One of the key problems of an unoptimized layout is the combined effect wind turbines can have on the wind speed distribution in a windfarm. As a wind turbine extracts energy from incoming wind, it creates a region behind it downstream where the wind speed is decreased- this is called a wake region. Note that wind turbines automatically orient their rotors, to face incoming wind from any direction. Due to the induced speed deficit, a turbine placed inside the wake region of an upstream turbine will naturally generate reduced electrical power. This inter-turbine interference is known as a wake effect. An optimal windfarm layout is important to ensure a minimum loss of power during this combined wake effect.

This Shell.ai Hackathon for Sustainable and Affordable Energy edition, focuses on an interesting and complex coding problem. When competing, you will face challenges such as a high dimensionality, complex multimodality and the discontinuous nature of the search space. This makes optimising the layout analytics difficult. But, armed with optimization strategies and computer algorithms, you can solve this problem.

Click here to view the hackathon problem statement


Timeline


Prizes


About the Shell.ai Residency programme:

Our Shell.ai Residency programme offers Residents the opportunity to collaborate with like-minded innovators, experts and mentors, while deepening technical expertise across the spectrum of AI. Find out more about the Shell.ai Residency Programme.

 

Highlights

Shell.ai Hackathon Launch Webinar

We had recently conducted a launch webinar with key Shell representatives where we talked about the problem statement and answered some of the key technical questions that some of you had. In case you missed it, catch the recording below and find out more about the discussion!

Webinar Panel:

 

Webinar Recording

 

ABOUT COMPANY

We are a global group of energy and petrochemical companies with an average of 86,000 employees in more than 70 countries. We use advanced technologies and take an innovative approach to help build a sustainable energy future. Find out more at at www.shell.com.

To more, check out:

GUIDELINES

  1. The submissions are going be evaluated via an AEP(Annual Energy Production)  evaluator that runs in the HackerEarth backend in real-time. T...
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FAQs

  • What is this hackathon about? 
    • The world needs to move to a cleaner energy system if it is to meet growing energy demand while tackling climate change. I...
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