Forecast a hyperscale campus's power demand growth and translate it into a firm capacity and energy procurement requirement.
Oil, Gas & Energy
Securing Firm Low-Carbon Power for Hyperscale and AI Data Centres
Learn to forecast data centre power demand, structure power purchase agreements for firm low-carbon supply and navigate interconnection and 24/7 carbon-free energy matching.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
AI training clusters and hyperscale data centres are adding load faster than many grids can connect it, and buyers increasingly want that power to be both firm and low-carbon rather than accepting either reliability or emissions as a trade-off. This course works through the full supply strategy: forecasting campus power demand, comparing grid interconnection against behind-the-meter generation, and structuring power purchase agreements that layer renewable generation with storage or firming capacity to approach round-the-clock supply. Participants evaluate emerging firm low-carbon technologies, including advanced nuclear, enhanced geothermal and gas paired with carbon capture, against realistic delivery timelines, and work through interconnection queue navigation and delivery risk management for large new loads. The course also covers 24/7 carbon-free energy matching, building an hourly model that shows where a generation portfolio still leaves gaps against actual load. Delivered through a worked case using realistic load and generation profiles, the course leaves participants able to build and present a defensible power supply strategy to executive and procurement stakeholders.
Expected Learning Outcomes
Compare grid interconnection, behind-the-meter generation and hybrid supply strategies against a data centre's timeline and reliability needs.
Structure a power purchase agreement that combines renewable generation with storage or firming capacity to approach round-the-clock supply.
Evaluate firm low-carbon generation options, including advanced nuclear, geothermal and gas with carbon capture, against cost and delivery risk.
Navigate grid interconnection queue processes and identify where a data centre developer can accelerate or de-risk timelines.
Design a 24/7 carbon-free energy matching strategy that tracks hourly, not just annual, alignment between load and clean generation.
Present a power supply strategy to hyperscale procurement teams that balances cost, reliability, carbon accounting and delivery schedule.
Who Should Attend
Energy procurement leaders at hyperscale technology companies sourcing power for new data centre campuses.
Independent power producers and developers structuring supply deals for large digital infrastructure customers.
Utility account managers responsible for large load interconnection and tariff negotiations with data centre developers.
Site selection and infrastructure planning teams evaluating locations based on power availability and cost.
Project finance professionals structuring power purchase agreements that underpin data centre or generation project debt.
Sustainability teams accountable for matching data centre load with verifiable clean energy claims.
Course Modules
Select any module to see its sessions and points.
01Data Centre Load Growth and Power Requirements
2 sessions · 8 points
Session 1Characterising Hyperscale and AI Load
- Model how training and inference workloads translate into peak, average and ramping power demand at a data centre campus.
- Distinguish load growth driven by AI compute density from conventional cloud data centre demand patterns.
- Assess power quality and reliability requirements that AI training clusters impose beyond standard data centre specifications.
- Translate a campus expansion roadmap into a phased power capacity requirement that procurement can plan against.
Session 2Comparing Supply Strategy Options
- Compare grid connection, behind-the-meter generation and hybrid approaches against speed to power and long-term cost certainty.
- Assess the trade-offs of co-locating generation, such as gas turbines or small modular reactors, directly at the campus site.
- Evaluate how utility tariff structures and cost allocation for large loads affect the economics of each supply option.
- Match supply strategy choice to the developer's risk appetite for schedule, cost and long-term carbon commitments.
02Structuring Power Purchase Agreements
2 sessions · 8 points
Session 1Designing PPA Structures for Firm Supply
- Structure a power purchase agreement that layers renewable generation, storage and firming resources to increase supply reliability.
- Negotiate pricing, shape and volume risk allocation between the data centre buyer and the generation project developer.
- Compare physical, virtual and sleeved PPA structures against the regulatory environment in the target market.
- Size storage or firming capacity within a PPA portfolio to reduce the hours of unmatched load left exposed to the grid.
Session 2Contracting for Firm Low-Carbon Generation
- Evaluate emerging firm low-carbon technologies, including advanced nuclear and enhanced geothermal, on delivery timeline and cost risk.
- Assess gas generation paired with carbon capture as a bridging firm resource while newer technologies scale.
- Structure offtake agreements that share technology and construction risk appropriately between developer and buyer.
- Set contractual milestones and step-in rights that protect the data centre buyer if a firm generation project slips.
03Grid Interconnection and Delivery Risk
2 sessions · 8 points
Session 1Navigating Interconnection Queues
- Map the interconnection queue process in the target grid to identify realistic timelines for new large load or generation connections.
- Identify queue positions, network upgrade costs and curtailment risk that could delay or increase the cost of a planned connection.
- Evaluate strategies such as flexible interconnection or phased load ramp-up to secure earlier grid access.
- Coordinate interconnection applications with transmission owners and system operators to reduce avoidable delay.
Session 2Managing Delivery and Reliability Risk
- Assess transmission and distribution upgrade requirements that a large new load may trigger and who bears the cost.
- Design contingency power arrangements, including on-site backup generation, for the period before firm supply is fully delivered.
- Evaluate demand flexibility options that let a data centre shift or curtail load during system stress events.
- Track supply chain risk for long-lead equipment, such as transformers and turbines, that affects both grid and on-site options.
04Carbon Accounting and Strategy Communication
2 sessions · 8 points
Session 124/7 Carbon-Free Energy Matching
- Distinguish annual volumetric matching from hourly 24/7 carbon-free energy matching and its effect on procurement strategy.
- Build an hourly matching model that shows gaps between clean generation profiles and the data centre's actual load shape.
- Select a portfolio of generation and storage assets that closes the largest hourly matching gaps at reasonable cost.
- Report matching performance using recognised carbon accounting methods that withstand external scrutiny.
Session 2Presenting and Governing the Supply Strategy
- Present a power supply strategy that balances cost, reliability, delivery schedule and carbon commitments for executive decision-makers.
- Build a governance process that reviews and updates the supply strategy as load forecasts and market conditions change.
- Coordinate site selection, procurement and sustainability teams so power strategy decisions are made with full information.
- Communicate supply strategy trade-offs to communities and regulators affected by new generation or grid infrastructure.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
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