Multiverse Computing, in collaboration with IDEA Ingeniería and AMETIC, has used a quantum digital twin to increase green hydrogen production by 5%. The digital twin simulates a green hydrogen production plant, using quantum algorithms to optimise the electrolysis process. This has resulted in a 5% increase in hydrogen production and revenue. Enrique Lizaso Olmos, CEO of Multiverse Computing, believes this project shows how quantum algorithms can make renewable energy more cost-effective. The company plans to continue improving the quantum solution and work with an energy company to validate the digital model.
“This project demonstrates how quantum algorithms can improve the production of green hydrogen to make renewable energy more cost-effective today and in the future.”
Enrique Lizaso Olmos, CEO, Multiverse Computing
Quantum Computing Enhances Green Hydrogen Production
The quantum digital twin simulates a green hydrogen production plant using the plant’s operating parameters as inputs. Quantum algorithms are then used to optimise the electrolysis process for green hydrogen generation. This results in a 5% increase in hydrogen production and associated revenue compared to using a classical solver.
Currently, green hydrogen production is more expensive than traditional grey hydrogen production. However, green hydrogen, produced from renewable sources, is a clean-burning fuel that could reduce emissions from heating and industrial processes. It could also enable more efficient energy storage and make the transportation industry greener.
Multiverse Computing specializes in leveraging quantum computing, alongside classical and quantum-inspired algorithms, to address complex challenges in various industries. Their focus spans finance, energy, life sciences, and other sectors, aiming to revolutionize how businesses solve critical and computationally intensive problems.
The Role of IDEA Ingeniería and AMETIC
IDEA Ingeniería, an engineering firm specialising in renewable projects and digital twins, developed the digital twin ecosystem for optimising green hydrogen generation. AMETIC, Spain’s digital industry association, is coordinating the overall project.
The collaboration between these organisations is crucial in developing quantum solutions alongside other green technologies. This could help mitigate the effects of global warming and contribute to a more sustainable and ecological energy landscape.
The Impact of Quantum Algorithms on Hydrogen Production
Using a classical solver to optimise hydrogen production, the virtual plant produced 62,579 kg of green hydrogen and revenue of 154,204 euros. However, by using quantum-inspired tensor networks with Multiverse’s Singularity, the quantum approach delivered 65,421 kg and revenue of 160,616 euros. This represents a 5% increase in hydrogen production and a 5% increase in revenues.
Quantum algorithms can improve the production of green hydrogen, making renewable energy more cost-effective. This is particularly important as electrolysers are currently deployed at a small scale, making hydrogen production costly and requiring significant scale-up in an affordable way.
The Future of Green Hydrogen
About 70 million tons of hydrogen are produced every year, used to refine oil and make ammonia-based fertiliser. The traditional grey hydrogen production process generates between 9 and 12 tons of carbon dioxide for every one ton of hydrogen produced. Green hydrogen, created from renewable sources, is a clean-burning fuel that could reduce emissions from heating and industrial processes.
Green hydrogen could also enable more efficient energy storage, as compressed hydrogen tanks can store energy for long periods and weigh less than lithium-ion batteries. It could also decarbonise shipping, aviation, and trucking, making the transportation industry greener.
Multiverse Computing’s Future Plans
Multiverse Computing plans to increase the input parameters to create a more realistic quantum digital twin. They also plan to collaborate with an energy company to validate the digital model and continue improving the quantum solution developed.
The company’s expertise in quantum algorithms and quantum-inspired algorithms allows it to secure maximum results from current quantum devices and classical high-performance computers. Its flagship product, Singularity, enables professionals across all industries to leverage quantum computing to speed up and improve the accuracy of optimisation and AI models.
“Green hydrogen will play a significant role in the transition towards a more sustainable and ecological energy landscape,” said Emilio Sanchez, Founder and CEO of IDEA Ingeniería. “The consortium’s continued progress in developing quantum solutions alongside other green technologies can help alleviate the effects of global warming.”
Summary
Multiverse Computing has utilised a digital twin and quantum optimisation to enhance the efficiency of green hydrogen production, potentially altering the economics of hydrogen production and reducing a significant source of greenhouse gases. By using quantum algorithms to optimise the electrolysis process used for green hydrogen generation, the developed solution achieves a 5% increase in hydrogen production and associated revenue.
- Multiverse Computing, a global leader in quantum computing and machine learning solutions, has collaborated with IDEA Ingeniería and AMETIC to increase the production of green hydrogen by 5% using a quantum digital twin.
- The quantum digital twin simulates a green hydrogen production plant, using quantum algorithms to optimise the electrolysis process, resulting in increased hydrogen production and revenue.
- Enrique Lizaso Olmos, CEO of Multiverse Computing, stated that this project demonstrates how quantum algorithms can make renewable energy more cost-effective.
- Currently, green hydrogen is more expensive to produce than traditional grey hydrogen. However, green hydrogen, produced from renewable sources, is a clean-burning fuel that could reduce emissions from heating and industrial processes.
- Multiverse’s future plans include increasing the input parameters to create a more realistic quantum digital twin and working with an energy company to validate the digital model.
- The company’s flagship product, Singularity, allows professionals across all industries to leverage quantum computing to speed up and improve the accuracy of optimisation and AI models.
