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.
NewHydrogen (OTCMKTS:NEWH), sviluppatore della tecnologia ThermoLoop™, ha pubblicato un podcast con il CEO Steve Hill e il Dr. Vladimir Dvorkin dell’Università del Michigan, discutendo della coordinazione delle infrastrutture critiche e della sicurezza dei dati. Il Dr. Dvorkin ha sottolineato come i centri dati influenzino significativamente le reti elettriche a causa dei requisiti di elaborazione dell’IA e ha enfatizzato l’importanza di coordinare le infrastrutture per gestire i carichi elettrici in modo efficiente.
La discussione ha trattato aspetti chiave della gestione delle reti elettriche, incluso il rapporto tra i centri dati e il consumo di elettricità, le preoccupazioni sulla privacy dei dati nei sistemi elettrici e il ruolo dell’IA nella coordinazione delle infrastrutture. Il Dr. Dvorkin ha anche affrontato come grandi aziende tecnologiche come Google, Microsoft e Amazon gestiscono le loro esigenze di approvvigionamento energetico attraverso una pianificazione a lungo termine e la coordinazione con le utility locali.
NewHydrogen (OTCMKTS:NEWH), desarrollador de la tecnología ThermoLoop™, lanzó un podcast con el CEO Steve Hill y el Dr. Vladimir Dvorkin de la Universidad de Michigan, discutiendo la coordinación de infraestructura crítica y la seguridad de los datos. El Dr. Dvorkin destacó cómo los centros de datos impactan significativamente las redes eléctricas debido a los requisitos de procesamiento de IA y enfatizó la importancia de coordinar la infraestructura para gestionar las cargas eléctricas de manera eficiente.
La discusión cubrió aspectos clave de la gestión de redes eléctricas, incluyendo la relación entre los centros de datos y el consumo de electricidad, preocupaciones sobre la privacidad de los datos en los sistemas eléctricos y el papel de la IA en la coordinación de infraestructuras. El Dr. Dvorkin también abordó cómo grandes empresas tecnológicas como Google, Microsoft y Amazon gestionan sus necesidades de suministro energético a través de una planificación a largo plazo y coordinación con las utilidades locales.
NewHydrogen (OTCMKTS:NEWH), ThermoLoop™ 기술의 개발업체, CEO Steve Hill과 미시간 대학교의 Dr. Vladimir Dvorkin이 출연한 팟캐스트를 발표했습니다. 이들은 중요한 인프라 조정과 데이터 보안에 대해 논의했습니다. Dvorkin 박사는 데이터 센터가 전력망에 미치는 중대한 영향에 대해 언급하며, 전기 부하를 효율적으로 관리하기 위해 인프라를 조정하는 것이 얼마나 중요한지 강조했습니다.
이번 논의에서는 전력망 관리의 핵심적인 요소를 다뤘습니다. 여기에는 데이터 센터와 전력 소비 간의 관계, 전력 시스템에서의 데이터 프라이버시 문제 및 인프라 조정에서의 AI 역할이 포함되었습니다. Dvorkin 박사는 Google, Microsoft 및 Amazon과 같은 주요 기술 기업들이 장기 계획과 지역 유틸리티와의 조정을 통해 에너지 공급 요구를 관리하는 방법에 대해서도 설명했습니다.
NewHydrogen (OTCMKTS:NEWH), développeur de la technologie ThermoLoop™, a publié un podcast mettant en vedette le PDG Steve Hill et le Dr. Vladimir Dvorkin de l’Université du Michigan, discutant de la coordination des infrastructures critiques et de la sécurité des données. Le Dr. Dvorkin a souligné comment les centres de données ont un impact significatif sur les réseaux électriques en raison des exigences de traitement de l’IA et a souligné l’importance de coordonner les infrastructures pour gérer efficacement les charges électriques.
La discussion a couvert des aspects clés de la gestion des réseaux électriques, y compris la relation entre les centres de données et la consommation d’électricité, les préoccupations en matière de confidentialité des données dans les systèmes électriques et le rôle de l’IA dans la coordination des infrastructures. Le Dr. Dvorkin a également abordé la façon dont de grandes entreprises technologiques telles que Google, Microsoft et Amazon gèrent leurs besoins en approvisionnement énergétique grâce à une planification à long terme et à une coordination avec les services publics locaux.
NewHydrogen (OTCMKTS:NEWH), Entwickler der ThermoLoop™-Technologie, hat einen Podcast veröffentlicht, in dem CEO Steve Hill und Dr. Vladimir Dvorkin von der University of Michigan über die Koordination kritischer Infrastrukturen und Datensicherheit diskutieren. Dr. Dvorkin betonte, wie Rechenzentren erheblichen Einfluss auf das Stromnetz haben, aufgrund der Anforderungen an die KI-Verarbeitung, und hob die Wichtigkeit hervor, die Infrastruktur zu koordinieren, um elektrische Lasten effizient zu verwalten.
Die Diskussion behandelte zentrale Aspekte des Managements von Stromnetzen, einschließlich der Beziehung zwischen Rechenzentren und dem Stromverbrauch, Datenschutzbedenken in elektrischen Systemen sowie die Rolle der KI in der Infrastrukturkoordination. Dr. Dvorkin ging auch darauf ein, wie große Technologieunternehmen wie Google, Microsoft und Amazon ihre Energiebedarfe durch langfristige Planung und Koordination mit lokalen Versorgungsunternehmen managen.
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
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.
Any forward-looking statement made by us in this press release is based only on information currently available to us and speaks only as of the date on which it is made. We undertake no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.
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.