case study
End-to-End Development Support for Hyperscaler Data Centre Power Infrastructure
Project Summary
Challenge
Hyperscaler data centres demand continuous, high-capacity, low-carbon power supply. Projects must balance siting constraints, grid integration complexity, capital intensity, and strict operational reliability. The client required a comprehensive development support framework to manage these interdependent factors.
Solution
We developed and deployed a suite of tools and advisory services including:
Resource Assessment:
- Evaluation of solar irradiance, wind potential, and grid accessibility
- Screening for curtailment risk and seasonal variability
Project Siting:
- GIS-integrated evaluation of parcels for proximity to substations, land use zoning, and environmental permitting risks
- Access to transmission, interconnection capacity, and redundancy options
Performance Modeling:
- Custom models to estimate generation, storage utilization, and grid import/export across hourly, monthly, and annual timelines
- Integration of satellite data, PVSyst-based forecasts, and degradation modeling
Financial Analysis:
- Cash flow modeling under merchant and contracted scenarios
- Levelized cost of electricity (LCOE) and storage (LCOS) computations
- Support for equity-debt structuring and Internal Rate of Return (IRR) analysis Integration of Investment Tax Credit (ITC), Production Tax Credit (PTC), and other incentive mechanisms into the financial analysis of projects across multiple scenarios
Strategic Advisory:
- Sourcing of partner utilities and off-takers
- Support with regulatory filings and grid interconnection studies
Key Results
The featured product, a Performance and Financial Model Console, allows the client to:
Run comparative evaluations of solar, storage, and hybrid configurations
Assess financial viability under different pricing assumptions and carbon goals
Optimize design trade-offs between capacity sizing, uptime guarantees, and energy cost
Business Impact
- Enabled the client to prioritize projects in regions with optimal cost-reliability balance
- Provided data-backed insights for board-level investment decisions
- Shortened feasibility assessment cycles from months to weeks
- Supported internal alignment between engineering, finance, and procurement teams
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