Scaling the Grid for Explosive Load Growth.

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Bibliographic Details
Title: Scaling the Grid for Explosive Load Growth.
Authors: VANCE, KATELYNN1, ETHEREDGE, JUSTIN justin@simplethread.com
Source: Transmission & Distribution World. May2025, Vol. 77 Issue 5, p16-21. 5p.
Subjects: Network operating system, Digital transformation, Business development, Artificial intelligence, Engineering design
Abstract: The article focuses on Dominion Energy's strategies to manage the anticipated surge in power demand driven by the growth of data centers and artificial intelligence. As data centers are projected to significantly increase Virginia's power demand, Dominion Energy is modernizing its grid planning and investing in new technologies to ensure reliable power delivery. A key innovation is the Hosting Capacity Analysis tool, developed in collaboration with Simple Thread and Right Analytics, which streamlines the analysis of the transmission grid's capacity to accommodate new loads, reducing the time required for such assessments from weeks to hours. This tool not only aids in planning for new demand but also has potential applications for integrating clean energy generation, aligning with broader sustainability goals. [Extracted from the article]
Copyright of Transmission & Distribution World is the property of Endeavor Business Media and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Header DbId: egs
DbLabel: Engineering Source
An: 185322273
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
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  Data: Scaling the Grid for Explosive Load Growth.
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  Data: <searchLink fieldCode="AR" term="%22VANCE%2C+KATELYNN%22">VANCE, KATELYNN</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22ETHEREDGE%2C+JUSTIN%22">ETHEREDGE, JUSTIN</searchLink><i> justin@simplethread.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Transmission+%26+Distribution+World%22">Transmission & Distribution World</searchLink>. May2025, Vol. 77 Issue 5, p16-21. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Network+operating+system%22">Network operating system</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+transformation%22">Digital transformation</searchLink><br /><searchLink fieldCode="DE" term="%22Business+development%22">Business development</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+design%22">Engineering design</searchLink>
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  Data: The article focuses on Dominion Energy's strategies to manage the anticipated surge in power demand driven by the growth of data centers and artificial intelligence. As data centers are projected to significantly increase Virginia's power demand, Dominion Energy is modernizing its grid planning and investing in new technologies to ensure reliable power delivery. A key innovation is the Hosting Capacity Analysis tool, developed in collaboration with Simple Thread and Right Analytics, which streamlines the analysis of the transmission grid's capacity to accommodate new loads, reducing the time required for such assessments from weeks to hours. This tool not only aids in planning for new demand but also has potential applications for integrating clean energy generation, aligning with broader sustainability goals. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Transmission & Distribution World is the property of Endeavor Business Media and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 5
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      – SubjectFull: Network operating system
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      – SubjectFull: Digital transformation
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      – SubjectFull: Business development
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Engineering design
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      – TitleFull: Scaling the Grid for Explosive Load Growth.
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              M: 05
              Text: May2025
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              Y: 2025
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