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Covering the latest research from top Wall Street investment banks

Data centers prefer grid power, benefiting IPPs and grid equipment suppliers

Institution
Bernstein
Date
20260622
Company
BITCOIN DEPOT INC, GE Vernova, Constellation Energy, Vistra Corporation, NextEra Energy, Bloom Energy, Fervo Energy, Enphase Energy, T1 Energy, Venture Global, First Solar, Ormat Technologies
Ticker
BTM, GEV, USGEV, USCEG, USVST, USNEE, USBE, USENPH, USTE, USVG, USFSLR, USORA, ORMATTECHNOLOGIES
Industry
Capital Markets, Utilities - Renewable, Solar, AI, Information Technology Services, Electric Utilities, Energy Transition
Rating
Outperform (GEV, CEG, VST, NEE, FRVO, LNG); Market-Perform (BE, ENPH, TE, VG)
BullishMedium confidenceReiterateMedium-termReaffirming bullish views on electricity demand, natural gas, and grid upgrades, maintaining outperform ratings for companies like GEV and CEG.
Target priceGEV: 1206 USD; CEG: 296 USD; VST: 181 USD; NEE: 107 USD; FRVO: 47 USD
CoverageUnited States
Research firm divisions/subsidiariesBernstein Institutional Services LLC(Subsidiary/Legal Entity)

AI summary card

Data centers prefer grid power, benefiting IPPs and grid equipment suppliers

Survey shows 98% of data center operators favor grid connection over cost due to speed and reliability. This trend benefits independent power producers with grid assets (e.g., CEG, VST) and grid equipment providers (e.g., GEV).

Outperform | GEV target price $1206
Data CentersElectricity DemandGrid InterconnectionIndependent Power ProducersGE VernovaConstellation Energy
  • 98% respondents prioritize grid connection; BTM reliance is only about 5%
  • Speed and reliability drive decisions more than cost
  • Over 4-year interconnection queues push need for onsite backup power
  • Natural gas, solar-plus-storage, and fuel cells lead onsite choices
  • Maintaining 'outperform' ratings for GEV, CEG, VST, NEE etc.

Report interpretation

Overview

This report analyzes future power source preferences for data centers based on surveys of over 50 operators, assessing impacts on the energy sector. Key findings show most operators still prefer grid connections prioritizing speed and reliability over cost, reinforcing institutions' bullish stance on U.S. electricity demand growth, natural gas use, and necessary grid upgrades.

Core views

Grid connections dominate. Surveys reveal 98% of respondents choose grids as primary power sources for next 5-10 years. For sites over 100MW, 86% prefer grid tie-ins supplemented by onsite generation. Currently, BTM powers only ~5% of DC markets, expected to stay at 5-10% through 2030 due to higher costs unless connectivity/reliability issues arise. Speed and reliability trump cost as drivers. Access speed (Speed to power) and reliability top selection criteria over cost (only 10% willing to pay more for onsite). With average interconnection queues exceeding 4 years—and waits >3 years generally unacceptable—solutions offering quick deployment (like Bloom Energy’s 55-90 day delivery) or existing capacity have advantages. Hybrid architectures and backup power become standard. Over 95% view onsite backups as critical design elements against outages. Natural gas (turbines/reciprocating engines), solar plus battery storage systems (BESS), and fuel cells lead current/future choices. Future large-scale facilities will typically combine grid supply with onsite generation. Five core concerns constrain industry growth. Main uncertainties include: 1) Grid access bottlenecks from queue lengths/transmission limits; 2) Slow/inconsistent permitting causing delays; 3) Volatile economics undermining long-term planning confidence; 4) Emerging tech like hydrogen needing de-risking; 5) Increased strain from rapid expansion making it questionable if grids can handle super-sized loads.

Analysis framework

Using bottom-up survey methods, we directly queried core customers (data center operators) about capex preferences and pain points. Quantitative data (e.g., 98% preferring grids) and qualitative feedback (five concern themes) map micro-demand onto macro-infrastructure investment logic via 'Identify Demand Constraints -> Derive Supply Chain Winners -> Select Stocks'. Focuses on firms solving 'grid access difficulty' and 'slow power delivery'.

Methodology notes

  • Industry/Industrial Analysis FrameworkSupply-demand framework

    Reverse-engineer upstream opportunities from downstream constraints (e.g., rigid requirements for speed/reliability identify key infrastructure gaps and beneficiaries)

    Analyzing extreme demands reveals grid bottleneck and fast-deployment capabilities as value drivers, locking in beneficiary firms.

  • Competition & Strategy FrameworkValue chain analysis

    Examine each stage (grids, onsite gen, manufacturing) in power chain regarding bargaining power/benefits during DC expansion

    Gridding is main pathway so IPPs/grid equipment makers (like GEV) gain scale advantage vs pure onsite—but onsite has niche as backup.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • GE Vernova (GEV.US)
    Benefits from interconnection瓶颈 as grid equipment provider fulfilling 'connectivity' needs
    Strengths
    Electrification segment directly addresses access/transmission constraints
    Weaknesses
    -
    Comparison
    Focuses on infrastructure vs pure generators
    Risks
    -
  • Constellation Energy (CEG.US)
    Owns significant grid-connected assets/nuclear capacity matching reliability/sustainability
    Strengths
    Large nuclear fleet provides stable base load; gains post-PJM clarity improvements
    Weaknesses
    -
    Comparison
    Nuclear offers steadier zero-carbon vs renewables
    Risks
    Regulatory changes
  • Vistra Corporation (VST.US)
    Has grid-access assets and signed capacity, profiting from grid-first strategy
    Strengths
    Existing grid capability allows quick responses to DC demand
    Weaknesses
    -
    Comparison
    Similar to CEG benefiting from scarce grid asset ownership
    Risks
    -
  • NextEra Energy (NEE.US)
    Major renewable producer satisfying sustainability targets
    Strengths
    Extensive renewable portfolio meets ESG requirements
    Weaknesses
    -
    Comparison
    Larger green procurement scale advantage
    Risks
    -
  • Bloom Energy (BE.US)
    Offers fast-deployable onsite solution countering lengthy queues
    Strengths
    Delivers within 55-90 days vs grid timelines
    Weaknesses
    Cost exceeds grid options; limited market reach
    Comparison
    Supplements grids rather than replaces
    Risks
    Competitive pressures/cost sensitivity

Key data

  • Grid Connection Preference Rate98%Respondents' preferred power source for next 5-10 years
  • BTM Share~5%Current market share; projected 5-10% by 2030
  • Interconnection Queue Time4+ yearsAverage wait times across regions acting as major bottleneck
  • Unacceptable Wait Fraction (>3 Years)MajorityHighlights urgent need for faster solutions
  • Onsite Backup Critical Design>95%Confirms hybrid architecture as new norm

Impact & implications

Results significantly benefit IPPs with grid assets like Vistra (VST) and Constellation Energy (CEG) meeting urgent capacity/reliability needs. Supports GE Vernova (GEV)'s thesis that market underestimates 'connectivity' demand related to data centers. For NextEra Energy (NEE), its renewable portfolio aligns with sustainability goals of large projects. Though Bloom Energy (BE) excels in rapid deployment, neutral rating suggests unresolved cost/comparison issues. Overall, U.S. grid upgrade/resilience efforts should drive decade-long capital allocation.

Risks

  • Extended interconnection queues delaying projects
  • Slow/inconsistent permitting increasing execution risk
  • Volatility in power/gas/storage costs affecting economics
  • Emerging tech (hydrogen) maturity shortfalls
  • Inadequate grid response to massive load growth posing systemic risks

What to watch

  • Trends in interconnection queue durations
  • Improvements in jurisdictional permitting speeds
  • Declining costs for gas/hydrogen/storage tech
  • Progress on utility grid upgrade capex spending
  • Adoption rates of hybrid power architectures in big DCs
Zhejiang ICP No. 2022035445-5
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