Phoenix 8 Offshore Wind Energy – Digitalization, Artificial Intelligence & Machine Learning

At Phoenix 8, we aim to achieve new levels of efficiency, accuracy, and cost reductions by applying data-driven technological developments in AI and machine learning. These advancements are made possible by widespread digitization and data science tools.

Our team supports partners with numerical analysis, edge-computing techniques, and other Industry 4.0 technologies.

Our Solution

Our software uses advanced machine learning algorithms to analyse data from various sensors installed on the wind turbines. This data includes vibration levels, temperature, wind speed, and more. The software predicts potential failures and suggests preventative measures, reducing downtime and increasing the lifespan of the turbines.

Areas of Expertise

  • Numerical Simulation and Analysis of Offshore Structures: We use advanced numerical simulations to analyse the performance and structural integrity of offshore wind turbines.
  • Artificial Intelligence Algorithms: Our AI algorithms are designed to predict maintenance needs, optimize performance, and reduce downtime.
  • Machine Learning Technologies: We use machine learning to analyze large datasets from wind turbines, providing valuable insights and predictions.
  • Data Analytics & Visualization: Our software includes a user-friendly dashboard that provides real-time data visualization and analytics.
  • Detailed Reports: Receive detailed reports on the performance and health of your wind turbines.

If you’re experiencing any of the following challenges with your offshore wind assets, our AI-Numerical Pre-trained Software and EVOLVE – Digital Twin Product can provide solutions:

  • Unforeseen movements or deformations of substructure: Our software uses advanced numerical simulations to predict and analyse movements and loads outside design parameters.
  • Reduced lifetime of equipment: By predicting maintenance needs and optimizing performance, we can extend the lifetime of your equipment and reduce the levelized cost of energy (LCOE).
  • Loss of production: Our predictive maintenance capabilities can help prevent unforeseen failures, minimizing production downtime.
  • Sub-optimal replacement scheduling: Our AI algorithms can suggest optimal schedules for repairing or replacing equipment based on age and actual status.
  • Insufficient knowledge in-house: We provide support in areas such as structural dynamic analysis and understanding substructure to seabed interfaces.
  • Need for LCOE reduction: Our software enables smart use of data, an under-utilized asset that can contribute to LCOE reduction.
  • Lack of tools and expertise: Our team of experts can provide the necessary tools and expertise to ensure a robust structural design of offshore wind turbines.
  • Need for engineering expertise: We can assist in exploring new concepts and designs for both bottom-fixed and floating wind turbines.

Interested in learning more about our software? Contact us today for a demo or more information. We look forward to helping you optimize your offshore wind farm operations!