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Energizers.de.ICT (for Shell Hackathon)

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Jyotisman Rath

Wind energy is a clean and sustainable source that can provide large-scale energy through wind farms. A genetic algorithm was used to optimize the layout of turbines in a sample 4km x 4km wind farm, evolving over generations to find an arrangement that maximized energy output. This layout achieved a high percentage efficiency of 93.7% compared to theoretical maximum output, showing the effectiveness of the optimization approach. However, further optimization may be site-specific and require significant additional resources.

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WIND ENERGY IS A CLEAN AND SUSTAINABLE SOURCE OF ENERGY Background GIF from https://www.inverse.com/article/8383- amazon-announces-new-wind-farm-to- power-its-massive-cloud-computing-service
AND BY SETTING UP WIND FARMS, WE CAN GET ENERGY ON A VERY LARGE SCALE Background GIF from https://www.inverse.com/article/8383- amazon-announces-new-wind-farm-to- power-its-massive-cloud-computing-service
Energizers.de.ICT (for Shell Hackathon)
Energizers.de.ICT (for Shell Hackathon)
Energizers.de.ICT (for Shell Hackathon)
Energizers.de.ICT (for Shell Hackathon)
4 km 4 km A 4 km X 4 km WIND FARM (AS GIVEN IN THE PROBLEM STATEMENT)
4 km 4 km A 4 km X 4 km WIND FARM (AS GIVEN IN THE PROBLEM STATEMENT)
PLACING TURBINES ON BORDERS USING SOME SPECIFIC PATTERNS AND POSITION IN THE WIND FARM 4 km 4 km A 4 km X 4 km WIND FARM (AS GIVEN IN THE PROBLEM STATEMENT) Moving propeller GIF from https://youraircomfort.com/hanover-air-conditioning/fan-gif/ Layouts show are representative and not exact.
WE NEEDED SOMETHING FASTER AND BETTER !
2. GENETIC ALGORITHM - TAKING INSPIRATION FROM NATURE THE NATURE INSPIRED CONCEPT IS FITTED INTO A PROGRAMMING LANGUAGE ! WE NEEDED SOMETHING FASTER AND BETTER !
WITH INCREASE IN NO. OF GENERATIONS, THE ALGORITHM EVOLVED TO GIVE THE BEST RESULT GENETIC ALGORITHM (CODED WITH SPECIFIC LIBRARIES IN PYTHON) Start with a random layout Get the best layout BEST ENERGY OUTPUT = 548.674 GWhEvolution occurs inside the code through crossover and mutations Layouts show are representative and not exact.
Thinking GIF from https://tenor.com/view/thinking-hmm-question-mark-what-to-do-gif-14283055
CALCULATED THE EFFICIENCY FROM THE MAXIMUM THEORETICAL OUTPUT MAXIMUM THEORETICAL ENERGY OUTPUT
MAXIMUM THEORETICAL ENERGY OUTPUT PERCENTAGE EFFICIENCY = 93.7 % CALCULATED THE EFFICIENCY FROM THE MAXIMUM THEORETICAL OUTPUT Light Bulb GIF from http://bestanimations.com/HomeOffice/Lights/Bulbs/Bulbs.html
ITS NOT JUST ABOUT GETTING GOOD NUMBERS, ITS ABOUT USING THEM THE BEST WAY ! ANY BETTER LAYOUT MAY TURN OUT TO BE SPECIFIC TO CERTAIN CONDITIONS ONLY AND WILL REQUIRE MORE TIME AND RESOURCES.
ITS NOT JUST ABOUT GETTING GOOD NUMBERS, ITS ABOUT USING THEM THE BEST WAY ! DIFFERENT TYPES OF TURBINE DIFFERENT WINDFARM DESIGNS DIFFERENT KINDS OF WIND FLOW THROUGH-OUT THE YEAR WE WERE ABLE TO IDENTIFY LAYOUTS AND PATTERNS THAT CAN PERFORM GOOD ANY BETTER LAYOUT MAY TURN OUT TO BE SPECIFIC TO CERTAIN CONDITIONS ONLY AND WILL REQUIRE MORE TIME AND RESOURCES.
WE ARE LOOKING FOR AN OPTIMUM LAYOUT WHICH IS EASILY-IMPLEMENTABLE & SUSTAINABLE AS WELL ! MAKING THE BEST USE OF OPTIMIZATION

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Energizers.de.ICT (for Shell Hackathon)

  • 1. WIND ENERGY IS A CLEAN AND SUSTAINABLE SOURCE OF ENERGY Background GIF from https://www.inverse.com/article/8383- amazon-announces-new-wind-farm-to- power-its-massive-cloud-computing-service
  • 2. AND BY SETTING UP WIND FARMS, WE CAN GET ENERGY ON A VERY LARGE SCALE Background GIF from https://www.inverse.com/article/8383- amazon-announces-new-wind-farm-to- power-its-massive-cloud-computing-service
  • 7. 4 km 4 km A 4 km X 4 km WIND FARM (AS GIVEN IN THE PROBLEM STATEMENT)
  • 8. 4 km 4 km A 4 km X 4 km WIND FARM (AS GIVEN IN THE PROBLEM STATEMENT)
  • 9. PLACING TURBINES ON BORDERS USING SOME SPECIFIC PATTERNS AND POSITION IN THE WIND FARM 4 km 4 km A 4 km X 4 km WIND FARM (AS GIVEN IN THE PROBLEM STATEMENT) Moving propeller GIF from https://youraircomfort.com/hanover-air-conditioning/fan-gif/ Layouts show are representative and not exact.
  • 11. 2. GENETIC ALGORITHM - TAKING INSPIRATION FROM NATURE THE NATURE INSPIRED CONCEPT IS FITTED INTO A PROGRAMMING LANGUAGE ! WE NEEDED SOMETHING FASTER AND BETTER !
  • 12. WITH INCREASE IN NO. OF GENERATIONS, THE ALGORITHM EVOLVED TO GIVE THE BEST RESULT GENETIC ALGORITHM (CODED WITH SPECIFIC LIBRARIES IN PYTHON) Start with a random layout Get the best layout BEST ENERGY OUTPUT = 548.674 GWhEvolution occurs inside the code through crossover and mutations Layouts show are representative and not exact.
  • 13. Thinking GIF from https://tenor.com/view/thinking-hmm-question-mark-what-to-do-gif-14283055
  • 14. CALCULATED THE EFFICIENCY FROM THE MAXIMUM THEORETICAL OUTPUT MAXIMUM THEORETICAL ENERGY OUTPUT
  • 15. MAXIMUM THEORETICAL ENERGY OUTPUT PERCENTAGE EFFICIENCY = 93.7 % CALCULATED THE EFFICIENCY FROM THE MAXIMUM THEORETICAL OUTPUT Light Bulb GIF from http://bestanimations.com/HomeOffice/Lights/Bulbs/Bulbs.html
  • 16. ITS NOT JUST ABOUT GETTING GOOD NUMBERS, ITS ABOUT USING THEM THE BEST WAY ! ANY BETTER LAYOUT MAY TURN OUT TO BE SPECIFIC TO CERTAIN CONDITIONS ONLY AND WILL REQUIRE MORE TIME AND RESOURCES.
  • 17. ITS NOT JUST ABOUT GETTING GOOD NUMBERS, ITS ABOUT USING THEM THE BEST WAY ! DIFFERENT TYPES OF TURBINE DIFFERENT WINDFARM DESIGNS DIFFERENT KINDS OF WIND FLOW THROUGH-OUT THE YEAR WE WERE ABLE TO IDENTIFY LAYOUTS AND PATTERNS THAT CAN PERFORM GOOD ANY BETTER LAYOUT MAY TURN OUT TO BE SPECIFIC TO CERTAIN CONDITIONS ONLY AND WILL REQUIRE MORE TIME AND RESOURCES.
  • 18. WE ARE LOOKING FOR AN OPTIMUM LAYOUT WHICH IS EASILY-IMPLEMENTABLE & SUSTAINABLE AS WELL ! MAKING THE BEST USE OF OPTIMIZATION