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Brownfield AI”: Upgrading Existing Data Centers Faster Than New Builds

⏱️ 37:16 🎤 Ellen Parson, David Spidelbach, Alan Turner
AUDIO EPISODE
Brownfield AI”: Upgrading Existing Data Centers Faster Than New Builds
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Chapters

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  • 0:00
    Introduction to Brownfield AI
    Ellen Parson introduces the topic of Brownfield AI, focusing on upgrading existing data centers for AI workloads faster than new builds.
  • 0:04
    Brownfield vs. Greenfield Projects
    Alan Turner and David Spidelbach explain the fundamental differences between brownfield and greenfield data center projects, highlighting the speed and capital efficiency of brownfield upgrades versus the uptime risks and safety challenges.
  • 0:09
    AI Constraints in Facilities
    The hosts discuss early signals that a facility is becoming AI-constrained, specifically addressing the shift from air-cooled to liquid-cooled systems and the increased power density of new AI racks.
  • 0:12
    Limiting Factors in Retrofits
    David Spidelbach and Alan Turner identify electrical distribution and cooling capacity as the primary limiting factors in brownfield AI upgrades, noting how older infrastructure struggles with new high-density rack requirements.
  • 0:18
    Electrical Retrofit Challenges
    The experts discuss common hurdles in electrical retrofits, including inadequate substation capacity, outdated UPS systems, increased fault currents, and the critical need for updated protection and coordination studies.
  • 0:20
    Physical Constraint Assumptions
    Alan Turner points out that physical constraints, such as routing cable trays and equipment access, are often underestimated when moving from paper designs to live brownfield environments, while David emphasizes the use of new tools like BIM modeling to address these challenges.
  • 0:23
    Assessing AI Expansion Viability
    Alan Turner advises focusing on understanding the load profile of new AI equipment and the existing electrical/cooling infrastructure to avoid costly missteps in assessing a facility's AI expansion potential.
  • 0:26
    Phasing Upgrades for Uptime
    Alan Turner and David Spidelbach detail proven approaches for phasing power and cooling upgrades in live data centers, emphasizing meticulous Method of Procedures (MOPs), modular components, and avoiding too many changes at once.
  • 0:34
    Benefits for Contractors
    The discussion shifts to the upsides for electrical engineers and contractors engaging in brownfield AI work, including higher margins, long-term partnerships, and establishing a reputation as specialized experts.
  • 0:44
    Wesco and Eaton Partnership
    David Spidelbach and Alan Turner conclude by explaining how Wesco and Eaton collaborate to provide comprehensive solutions for data center projects, from electrical portfolios to supply chain services and specialized cooling technologies.

Speakers

E
Ellen Parson
Host — head of content of EC&M
D
David Spidelbach
VP of sales and strategic initiatives at Wesco
A
Alan Turner
Lead of the data center strategic accounts team at Eaton

Key Takeaways

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Prioritize understanding the load profile of new AI equipment to determine necessary upgrades for existing electrical and cooling infrastructure.

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Implement meticulous Method of Procedures (MOPs) and phase isolation plans to minimize downtime and ensure safety during live data center upgrades.

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Invest in advanced tools like BIM modeling and 3D cameras for existing facilities to create better coordinated plans, especially when as-built drawings are unavailable.

✦

Foster strong collaboration among operators, engineers, contractors, and OEMs to ensure a 'single team approach' and successful project execution.

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Focus on building long-term relationships and a reputation for specialized expertise in brownfield AI to secure high-value projects and continuous work.

✦

Be vigilant about scope creep, as unforeseen issues in existing brownfield sites can significantly impact project timelines and costs.

✦

Address the human capital element by effectively recruiting, onboarding, and retaining skilled talent capable of working under pressure in complex environments.

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