Carnegie Clean Energy Ltd · ASX:CCE

Carnegie Clean Energy — HPE Discover 2024

9 slides from Carnegie Clean Energy's conference presentation, Jun 19, 2024

  1. Slide 1: HPE Discover 2024: Accelerate innovation with world-leading supercomputing

    For personal use only HPE Discover 2024 The Sphere, Las Vegas Accelerate innovation with world-leading supercomputing 18th June 2024

  2. Slide 2: Our core technology is unique and avoids known issues

    Our core technology is unique and avoids known issues For personal use only  Water in waves move in an orbit. The buoy is forced to move in the same motion  This kinetic energy is transformed by the three Power Take-Offs within the buoy  CETO operates fully submerged, avoiding issues of visual am

  3. Slide 3: Waves are complex and somewhat non-linear

    For personal use only  Waves are complex and somewhat non-linear  To engineer WECS we need to know the forces, especially damaging ones

  4. Slide 4: Dividing the ocean and structure into blocks for simulation

     We divide up the ocean and structure into blocks.  Can see the discretisation  We use physics as the basis of our equations For personal use only  Then over to supercomputers to do the work

  5. Slide 5: Setonix supercomputer and optimising control

    • This is Setonix at the Pawsey Supercomputing For personal use only Centre, in Western Australia, where we're headquartered, with its HPE Cray EX supercomputer • But knowing hydrodynamic forces isn't enough, we need to optimise control (resistive forces) for power generation and survivability • Rem

  6. Slide 6: Machine learning wave predictor

    • We developed a wave predictor using Machine Learning and tested it a wave tank For personal use only • It uses sensors measuring the surface position that are up- wave/further out from the point of interest • We see an excellent match between measured and predicted • The controllers that we had to

  7. Slide 7: Reinforcement learning controller developed with HPE

    • Through conversation with HPE we were introduced the experts at HPE labs and together we developed an RL controller • Controller reads wave prediction + system state and decides on forces in PTOs • It is rewarded for the electricity produced • Throughout its life it adapts and improve For personal

  8. Slide 8: First European deployment under the ACHIEVE Programme

     HPE Services in Spain is For personal use only helping implement the RL in CETO’s first European deployment as part of the ACHIEVE Programme  Next year we’ll deliver the world's first use of Reinforcement Learning in large scale wave energy converters 8

  9. Slide 9: Be part of the innovation that will unlock the power of the world's oceans

    For personal use only Be part of the innovation that will unlock the power of the world’s oceans 9

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