Technology Trends – Metaverse Funding, Quantum Computing Applications

Daesung’s launch of a metaverse fund in Korea, new quantum computing use cases being explored, and an energy-efficient window covering developed by quantum are on the tech radar of the week.

Daesung will fund the metaverse

Korean energy and industrial giant Daesung, through its venture capital arm Daesung Private Equity, plans to invest in the metaverse with a 110 billion won ($83.5 million) fund. dollars).

The “Metaverse Scale-up Fund”, as it is called, which will also benefit from the participation of the Korean state through the Korea Venture Investment Corporation and would be the country’s largest private fund in the sector, is intended to invest in the Web 3, including distributed ledgers, digital twins, artificial intelligence and extended reality (XR – a combination of virtual and augmented reality).

“Metaverse is already seen as an industry-wide game changer rather than just an emerging domain,” said Daesung Group President Younghoon David Kim.

Did you read?
Energy Web now available as a service on Amazon
No energy transition without collaboration and innovation

“Through this fund, Daesung Group will take a strategic leadership position in the growth of the metaverse.”

Quantum Computing Opportunities for the Energy Sector…

Quantum computing is increasingly being used in the energy sector for a range of applications with its ability to undertake complex calculations faster or beyond the capability of traditional techniques.

The latest company to investigate its use is Uniper, which is partnering with Terra Quantum to explore a range of real-world use cases, including liquefied natural gas (LNG) planning and forecasting and plant process optimization. to biomass thanks to better forecasts of CO2 emissions.

In the case of LNG logistics, companies aim to solve the complex optimization problems that could allow an increase in delivery capacity at a lower cost.

In the biomass plant use case, a hybrid quantum machine learning model is applied to Uniper’s operating platform, which already uses artificial intelligence for plant process optimization. plant based on the analysis of plant data and sensor measurements to predict CO2 emissions and peaks.

A third envisioned use case is to use quantum enhanced Monte Carlo simulations – a mathematical technique for determining likely outcomes – to improve the pricing of options and complex derivatives for Uniper’s energy trading division.

…and a real benefit of quantum computing

In a real world, engineers at the University of Notre Dame used quantum computing combined with machine learning to develop a transparent window covering that blocks heat and saves energy.

The liner is made up of multiple layers of ultra-thin materials that must be assembled in a precise configuration. By building a computer model of the coating, the researchers were able to test every possible configuration of layers in a fraction of a second to identify the optimal combination and order of materials.

Guided by these results, they made the new coating by layering silica, alumina and titanium oxide on a glass base, coating it with the same polymer used to make contact lenses. The result was a 1.2μm thick coating that would outperform all other heat reducing glass coatings on the market with a reduction in electricity cooling costs of up to a third in hot climates per compared to conventional glass windows.

“I think the quantum computing strategy is as important as the material itself. Using this approach, we were able to find the best-in-class material, design a radiative cooler, and experimentally prove its cooling effect,” Tengfei said. Luo, a professor of energy studies at the University of Notre Dame, who led the work.

With cooling accounting for approximately 15% of global energy consumption, coated windows are set to be increasingly used as the search for energy efficiency accelerates.

Leave a Comment