All case studiesAI Infrastructure · Behind-the-Meter Power

[e.g., "Financing co-located power for a contracted data-center load"]

[one line: sizing debt to a compute load when speed-to-power, not capital, is the constraint]

[e.g., "Financing co-located power for a contracted data-center load"]
01

Project Snapshot

Generation
[solar + BESS ± gas]
Load
[e.g., 100 MW data center]
Contract
[behind-the-meter PPA / power-services agreement]
Counterparty
[hyperscaler / colo]
Structure
[power split from real estate?]
02

The Challenge

[Underwriting a behind-the-meter power asset against a single contracted compute load — uptime/availability obligations, load-ramp alignment, counterparty credit, and the speed-to-power premium — and sizing debt to the contracted cash flows.]

03

The Approach

  1. 01

    [Model load ramp and availability obligations]

  2. 02

    [Structure the BTM PPA / power-services agreement]

  3. 03

    [Build the dispatch stack: solar + BESS + gas firming]

  4. 04

    [Size debt to contracted cash flows]

  5. 05

    [Assess counterparty credit; consider splitting power from real estate for different investors]

04

Inside the Model

[Describe the dispatch + contracted-cash-flow debt sizing.]

[ Image placeholder — BTM dispatch stack + contracted-cash-flow debt sizing ]
05

Results at a Glance

[Contracted DSCR][$/MWh delivered][Uptime %][Gearing %][IRR]
06

What This Demonstrates

  • Energy-compute fusion
  • Behind-the-meter / co-located structuring
  • Contracted-load debt sizing
  • Dispatch modeling
07

Key Takeaway

[Idea + mechanism, two sentences.]

Illustrative case built on representative data; not based on any confidential or client transaction.