Exploitable Results

Key Exploitable Results

Seven documented Key Exploitable Results from the iDT4GDC project — ranging from validated prototypes to production-ready components targeting the global data centre sustainability market.

KER
1
KEY EXPLOITABLE RESULT 1
Energy Source Optimisation Engine
AI-driven energy source selection with real-time grid signal integration

A hybrid scheduling engine that dynamically selects energy sources for data centre operations based on real-time grid signals, carbon intensity data, and renewable availability. The engine continuously balances operational SLAs against energy cost and carbon footprint, enabling data centres to minimise their environmental impact without compromising performance.

Target Markets
Cloud data centres · Colocation facilities · Edge compute operators · Managed service providers
KER
2
KEY EXPLOITABLE RESULT 2
Green Energy Forecasting Module
Advanced AI forecasting for renewable energy availability prediction

An advanced deep learning forecasting system that predicts renewable energy availability hours ahead, enabling workload scheduling to be aligned with green energy windows. Integrates weather data, historical grid mix, and seasonal patterns to support proactive carbon-aware scheduling decisions and help data centres shift operations toward renewable energy sources.

Target Markets
Energy managers · Sustainability officers · Grid operators · Data centre operators
KER
3
KEY EXPLOITABLE RESULT 3
Dynamic Energy Pricing Mechanism
AI-driven compute-job pricing aligned with real-time energy costs

An AI engine that dynamically adjusts pricing for compute jobs based on real-time energy cost and carbon intensity. By creating market incentives aligned with green energy availability, it enables colocation operators and cloud platforms to transparently charge customers more for carbon-intensive compute and less during renewable windows — creating a market mechanism for demand shifting.

Target Markets
Colocation operators · Cloud platforms · Energy brokers · Green tariff providers
KER
4
KEY EXPLOITABLE RESULT 4
Hardware Optimisation Engine
Dynamic workload-to-hardware allocation for maximum energy efficiency

An intelligent hardware allocation engine that dynamically maps compute workloads to the most energy-efficient hardware resources available. By considering thermal state, current power draw, and workload characteristics, it minimises cooling overhead and power consumption per compute job without impacting performance SLAs. Supports heterogeneous hardware environments including CPUs, GPUs, and specialised AI accelerators.

Target Markets
HPC centres · AI cloud providers · Research institutions · Colocation operators
KER
5
KEY EXPLOITABLE RESULT 5
Integrated System Demonstrator
Vendor-independent cross-vendor interoperability showcase

A comprehensive system demonstration that validates the full iDT4GDC stack operating across heterogeneous, multi-vendor data centre hardware. It serves as the reference implementation proving that the open API ecosystem functions across real-world diverse infrastructure environments, and provides reference architecture documentation for third-party adopters.

Target Markets
Multi-vendor data centre operators · Standards bodies · System integrators · DCIM vendors
KER
6
KEY EXPLOITABLE RESULT 6
iDT4GDC Backend & DCIM Digital Twin Integration
Production-ready open-source backend — the technology foundation

The production-ready core backend platform that underpins the entire iDT4GDC system. Implemented as an open-source component with dual licensing (community + commercial), it provides the API gateway, data management layer, and DCIM digital twin integration that all other components depend on. Deployed via containerised infrastructure for maximum portability across environments.

Target Markets
DCIM software vendors · Enterprise IT · Open-source community · Cloud operators
KER
7
KEY EXPLOITABLE RESULT 7
Integrated Dashboard
Unified real-time visualisation across power, cooling, workloads, and carbon KPIs

A production-ready integrated dashboard providing unified real-time and historical views of power consumption, cooling performance, workload distribution, and sustainability KPIs. Designed for data centre operations teams, sustainability managers, and executive reporting, it consolidates previously siloed data into a single actionable interface with carbon benchmarking capabilities and role-based views.

Target Markets
DC operations teams · C-suite sustainability · Regulatory compliance · Cloud operators · MSPs