Flywheel Design Engineering

DEEP-SPIN: Deep-sea Energy Engagement with Peak-performance SPIN technologySeabed Solutions for Sustainable Energy Systems

The MIICT is thrilled to announce the launch of yet another project named Deep-sea Energy Engagement with Peak-performance SPIN technology (DEEP-SPIN) aimed at enhancing Energy Storage with submerged flywheels.

The DEEP-SPIN project seeks to transform the energy storage landscape by developing a highly efficient, scalable and cost-effective vacuum flywheel energy storage system (FESS). This initiative aims to achieve a scientific and technological breakthrough by overcoming existing limitations in grid-scale storage by strategically integrating cutting-edge flywheel technology with near-shore seabed deployment. The project places a strong emphasis on seamless integration with renewable energy sources and leverages the natural cooling capacity of the near-shore deep sea for enhanced thermal management.

In order to be able to succeed, the project has to produce scientific and technological breakthroughs in a number of areas that we believe are realistically achievable.

The Project’s key research areas are briefly outlined below:

  • Ultra-High Vacuum Technology: DEEP-SPIN focuses on enhancing vacuum technology to create and maintain the ultra-high vacuum environments essential for minimising energy loss due to friction. This involves research into innovative vacuum pumps, leak-proof sealing methods, and sophisticated monitoring systems. AI will be incorporated for leak detection, prediction, and optimised pump scheduling.
  • Advanced Materials and Flywheel Design: The DEEP-SPIN team is investigating and testing novel composite materials, including fibre-reinforced composites and graphene-based materials. The goal is to find materials with exceptional strength-to-weight ratios that will allow for the construction of flywheels capable of operating at ultra-high speeds, maximizing energy density. This process is being aided by AI, with sophisticated algorithms used to:
    • Predict material properties: AI models can simulate and predict the behaviour of different composite materials under extreme stress, helping researchers quickly identify promising candidates.
    • Optimize material design: AI can suggest optimal combinations of fibres, resins, and layering patterns to achieve the desired strength and stiffness characteristics.
    • Accelerate virtual prototyping: AI-powered virtual testing platforms allow for rapid evaluation of flywheel designs under various operating conditions, reducing the need for extensive physical prototyping.
  • Advanced Magnetic Bearing Technology: DEEP-SPIN researchers aim to develop and optimise advanced magnetic bearing systems (superconducting or active) to achieve near-frictionless flywheel operation. These advanced bearings are crucial for increasing efficiency, extending lifespan, and minimizing maintenance requirements, which given the deep-sea deployment of the flywheels, is essential. AI will be used for predictive maintenance and adaptive control of the bearings to ensure optimal performance and anticipate potential issues.
  • High-Efficiency Power Electronics: Developing high-efficiency motor/generator systems and optimising power converters and control systems are vital for maximising the energy conversion efficiency between kinetic and electrical forms AI will aid in power converter design and enable real-time grid optimisation for maximum efficiency and system stability.
  • Grid Integration and System Management: DEEP-SPIN engineers work to design modular and scalable flywheel energy storage systems that can be easily integrated into existing power grids and renewable energy infrastructure. This includes developing sophisticated control algorithms, system-level management strategies, and simulations to ensure smooth operation, load balancing, and grid stability AI will be crucial for demand forecasting and distributed control of the deployed flywheel units.
  • Seabed Deployment for Thermal Management: A unique aspect of DEEP-SPIN is investigating the feasibility of deploying FESS units on the seabed. This strategy aims to harness the ocean’s natural cooling capacity for improved thermal management of the flywheel systems. Research includes developing robust deep-sea containment, thermal modelling, and a thorough assessment of potential environmental impacts and regulatory considerations. AI will assist in environmental impact monitoring and optimal seabed placement of the systems.

Prefer listening?

If you prefer to listen to, instead of reading the text on this page, all you need to do is to put your device sound on, hit the play button below,  sit back, relax and leave everything else to us.

Algorithmic BrAInDEEP SPIN FlyWheels

how can we help you?

Contact us at the MIICT office nearest to you or submit an inquiry online.

Interested in this Project?