Esyasoft Group

Decarbonising AI with Hourly Matched Energy

case study
Decarbonising AI with Hourly Matched Energy
95.4%

Hourly Matching Score

75%

Emissions Reduction vs REGO Reporting

180MW

Data Centre Capacity

Location: UK Scope: HPC data centre, scalable to 180 MW and over 1 TWh annual consumption Sector: Data Centres Key Components: Hourly matched renewable electricity sourced from 3,300+ UK generators, with detailed provenance and carbon reporting

CHALLENGE

The client operates an HPC and AI data centre where renewable energy credentials matter increasingly to customers. Its existing REGO-backed supply could no longer give customers the transparency they expected, it couldn't demonstrate that renewable generation actually matched consumption in real time. With hyperscale customers focused on auditable sourcing, the client needed credible, hour-by-hour matched renewable supply rather than annual-level certification.

KEY OUTCOMES

High Match Accuracy: 95.4% hourly renewable matching achieved. Lower Reported Emissions: 75% lower reported emissions than standard REGO reporting. Customer Audit Readiness: Improved transparency to support hyperscale customer audits and sustainability reporting. Growth-Ready Supply: Flexible supply structure supports scaling to 180 MW without unexpected cost exposure.

SOLUTION

Good Energy provided a deep-green, hourly matched renewable supply that goes beyond standard annual REGO reporting: Hour-by-Hour Matching Consumption matched against generation hour by hour, rather than averaged annually. Generation Provenance Supply sourced and tracked across 3,300+ UK generators, giving visibility into when and where electricity was generated. Auditable Reporting Detailed carbon and provenance reporting built to support customer audits and sustainability disclosures. Scalable Supply Model Structured to support growth to 180 MW capacity without unexpected costs such as volume tolerance charges.