Energy
Managing the energy transition and resolving the climate crisis is probably the greatest challenge of our time. Quantum technology is one of our core assets in addressing this challenge.
Quantum Solutions for a Resilient Energy Future
From forecasting grid behavior to optimizing resources and enhancing storage, quantum technology empowers smarter, cleaner, and more resilient energy systems.
Predict the Unpredictable
Make better informed decisions based on better prediction accuracy of weather patterns, grid behavior, extreme events and battery performance.
Optimize Resources
Meet energy requirements more sustainably, reduce dependence on fossil fuels and produce outputs in a cleaner way.
Improve Operations
Find efficiencies in the manufacturing and supply chain processes, and reduce costs while improving resilience and reducing counterfeits.
Enhance Storage
Understand and simulate materials to design better storage capacity, harnessing various renewable sources.
"Quantum Computing is an emerging technology with significant potential. A realistic understanding of its disruptive potential and tangible benefits based on real-life use cases will boost innovation and provide sustainable solutions to the energy industry."
René Koch - Enterprise Architecture Lead at Uniper - Client
Our Impact
Driving sustainable progress with quantum-powered predictions, material insights, and carbon-reduction strategies.
- Emissions Reductions: Predicting the emissions peaks of Biomass power plants – to enable net reductions.
- Reduce Carbon Footprint: Scheduling the supply chains of commodities such as LNG, to reduce carbon footprint and increase resiliency.
- New Materials Development: Determining ground state calculations in battery simulations – supporting the development of new materials.
- Power from Renewable Assets: Predicting the power produced by renewable assets, such as Solar PV units.
Use Case: Energy Supply and Distribution
To meet future energy demand, our networks need to adapt to a more volatile environment. With renewables having unpredictable power outputs, our grids need to follow a more granular commitment plan.
Utilizing our hybrid quantum computing approach, we enable better planning, more accurate intra-day demand and weather forecasts.
Our approach shows 50x faster unit commitment solutions of the same optimality, creating about 2% in annual natural gas savings.
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