New Hydrogen CEO Steve Hill and University of Michigan Expert Discuss Energy Infrastructure Coordination and Data Security

Rhea-AI Summary

NewHydrogen (OTCMKTS:NEWH), developer of ThermoLoop™ technology, released a podcast featuring CEO Steve Hill and Dr. Vladimir Dvorkin from the University of Michigan discussing critical infrastructure coordination and data security. Dr. Dvorkin highlighted how data centers significantly impact power grids due to AI processing requirements and emphasized the importance of coordinating infrastructure to manage electrical loads efficiently.

The discussion covered key aspects of power grid management, including the relationship between data centers and electricity consumption, data privacy concerns in power systems, and the role of AI in infrastructure coordination. Dr. Dvorkin also addressed how major tech companies like Google, Microsoft, and Amazon manage their power supply needs through long-term planning and coordination with local utilities.

Dr. Vladimir Dvorkin shares his experience in coordinating critical infrastructures such as power grid with data centers, safeguarding energy data privacy, and evolving role of AI

SANTA CLARITA, Calif., Dec. 18, 2024 (GLOBE NEWSWIRE) -- NewHydrogen, Inc. (OTCMKTS:NEWH), the developer of ThermoLoop^™, a breakthrough technology that uses water and heat rather than electricity to produce the world’s cheapest green hydrogen, today announced a podcast featuring CEO Steve Hill and Dr. Vladimir Dvorkin, Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan.

As for coordinating infrastructure like power grid and data centers, Dr. Dvorkin said, “Data centers are newly emerging pieces of infrastructure to have a huge impact on power grid. Electrical load can rapidly change due to sudden change of power drawn from AI processing requirements. Further, emission requirements at various locations may dictate which data centers should take the heavy load at a given time. It is fortunate that we can change training algorithms for AI loads to minimize the electricity consumption at data centers depending on what algorithms are being used. We can think of this as smoothing the load profile of disruptive electrical loads with minimum impact on performance since electricity availability is less dependent on locations than that of natural gas.”

On data security for public safety, Dr. Dvorkin said, “Data can be very proprietary and very sensitive since electric power system is a nationally critical infrastructure. We have some models of the grid, but the secrecy of certain information makes it difficult to manage. That is where modern technology of differential privacy and optimization kicks in. The technology allows us to synthesize actual power grids without disclosing too much information. It is a game of trade on how much information you want to reveal in order to fine-tune your trading strategy versus how much resilient system you want.

On the challenges of integrating AI with our critical infrastructure, Dr. Dvorkin said, “Data center owners like Google, Microsoft, Amazon need to know projected demand and how much power supply they will need in the long term. Recently the deal between Microsoft and Three Miles Power Plant is an example of this coordination so they anticipate demand and secure supply up to 20 years ahead. For a short term, Google talks to local power companies to accommodate peak load and smooth out data center profile during peak hours to minimize stress on the grid. Also, a power plant may suddenly lose power, and we need the flexibility to accommodate the loss of generation.”

Dr. Vladimir Dvorkin received a Ph.D. in Electrical Engineering from the Technical University of Denmark. He is currently an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. Before joining University of Michigan, Dr. Vladimir was with the Laboratory for Information and Decision Systems (LIDS) and Energy Initiative of the Massachusetts Institute of Technology as a MSCA postdoctoral fellow. He leads the ⏻ptiML group, where they harness the power of optimization and machine learning to address the grand challenges of transitioning to digital and carbon-free power and energy systems. Dr. Dvorkin is listed as a Google Scholar at ‪Vladimir Dvorkin - ‪Google Scholar‬‬.

Watch the full discussion on the NewHydrogen Podcast featuring Dr. Vladimir Dvorkin at 
https://newhydrogen.com/videos/ceo-podcast/vladimir-dvorkin-university-of-michigan.

For more information about NewHydrogen, please visit https://newhydrogen.com/.

About NewHydrogen, Inc.

NewHydrogen is developing ThermoLoop^™ – a breakthrough technology that uses water and heat rather than electricity to produce the world’s lowest cost green hydrogen. Hydrogen is the cleanest and most abundant element in the universe, and we can’t live without it. Hydrogen is the key ingredient in making fertilizers needed to grow food for the world. It is also used for transportation, refining oil and making steel, glass, pharmaceuticals and more. Nearly all the hydrogen today is made from hydrocarbons like coal, oil, and natural gas, which are dirty and limited resources. Water, on the other hand, is an infinite and renewable worldwide resource.

Currently, the most common method of making green hydrogen is to split water into oxygen and hydrogen with an electrolyzer using green electricity produced from solar or wind. However, green electricity is and always will be very expensive. It currently accounts for 73% of the cost of green hydrogen. By using heat directly, we can skip the expensive process of making electricity, and fundamentally lower the cost of green hydrogen. Inexpensive heat can be obtained from concentrated solar, geothermal, nuclear reactors and industrial waste heat for use in our novel low-cost thermochemical water splitting process. Working with a world class research team at UC Santa Barbara, our goal is to help usher in the green hydrogen economy that Goldman Sachs estimated to have a future market value of $12 trillion.

Safe Harbor Statement

Matters discussed in this press release contain forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. When used in this press release, the words "anticipate," "believe," "estimate," "may," "intend," "expect" and similar expressions identify such forward-looking statements. Actual results, performance or achievements could differ materially from those contemplated, expressed or implied by the forward-looking statements contained herein. These forward-looking statements are based largely on the expectations of the Company and are subject to a number of risks and uncertainties. These include, but are not limited to, risks and uncertainties associated with: the impact of economic, competitive and other factors affecting the Company and its operations, markets, the impact on the national and local economies resulting from terrorist actions, the impact of public health epidemics on the global economy and other factors detailed in reports filed by the Company with the United States Securities and Exchange Commission.

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Investor Relations Contact:
NewHydrogen, Inc.
ir@newhydrogen.com

FAQ

How does NewHydrogen's ThermoLoop technology differ from traditional hydrogen production methods?

ThermoLoop™ technology uses water and heat rather than electricity to produce green hydrogen, which the company claims results in the world's cheapest green hydrogen production.

What are the main challenges in coordinating data centers with power grids according to Dr. Dvorkin?

According to Dr. Dvorkin, the main challenges include managing rapid changes in electrical load due to AI processing requirements, balancing emission requirements across locations, and coordinating power supply with varying data center demands.

How do major tech companies manage their long-term power supply needs for data centers?

Companies like Microsoft secure long-term power supply agreements (up to 20 years ahead) with power plants, while companies like Google coordinate with local power companies to manage peak loads and minimize grid stress.

What solutions did Dr. Dvorkin propose for maintaining data privacy in power grid systems?

Dr. Dvorkin discussed using differential privacy and optimization technologies to synthesize power grid information without disclosing sensitive data, balancing information sharing with system resilience.