7 Capability Domains Framework™

The core capability domain — focused on the continuous monitoring, verification, and reporting of thermal performance outcomes in real buildings and estates. This domain explores how practitioners can move beyond point-in-time assessment to sustained operational assurance across the life of a low-carbon building asset.

Capability in this domain encompasses understanding real-world thermal behaviour, identifying performance gaps between design intent and operational reality, and generating structured evidence of outcomes that satisfies regulatory, funder, and board requirements.

Understanding how decarbonisation investments translate into real operational outcomes — and how to evidence them. As heat pump deployment, retrofit programmes, and estate electrification accelerate, the gap between designed and delivered performance has become a significant operational and compliance challenge.

This domain explores the capabilities required to understand, manage, and evidence the performance of low-carbon heating systems across institutional estates — from individual buildings to portfolio-scale decarbonisation programmes.

Edge-enabled systems, sensing infrastructure, and digital building technologies that support real-world thermal performance visibility and assurance. This domain explores the digital layer that makes continuous thermal performance monitoring possible — from sensing hardware to data acquisition systems.

Capability here includes understanding edge-autonomous operation, sensor deployment, interoperability across building systems, and the digital infrastructure required to generate structured operational evidence without dependency on complex IT integration.

Using operational data to understand, diagnose, and continuously improve building thermal performance outcomes. This domain explores how time-series thermal data, system-state information, and performance metrics can be structured and interpreted to generate actionable operational intelligence.

Capability in this domain includes data structuring, trend analysis, anomaly detection, performance benchmarking, and the transformation of raw thermal data into decision-grade evidence for estate managers, sustainability teams, and compliance officers.

Exploring how automation, artificial intelligence, and edge intelligence can support continuous thermal performance assurance in institutional environments. This domain examines the emerging role of intelligent systems in detecting performance drift, supporting corrective action, and optimising building thermal outcomes without continuous human intervention.

Capability here includes understanding deterministic and AI-enabled edge logic, automation of performance monitoring workflows, and the appropriate application of intelligent systems in operational building environments.

Building the structured evidence frameworks that regulators, funders, and boards increasingly require. As regulatory demands around operational Net Zero performance intensify — through SHNZS, SHDF, PAS 2035, and Awaab's Law — the capability to produce credible, audit-ready thermal performance evidence has become a critical operational competence.

This domain explores how operational thermal data is structured, formatted, and presented to satisfy the evidence requirements of diverse stakeholder audiences — from regulatory compliance officers to social housing boards and sustainability funders.

The integrating domain — focused on the people, skills, and learning pathways required to bring the other six capability domains to life in real organisations and real buildings. As thermal performance assurance emerges as a distinct operational discipline, the workforce capability required to practise it must also be developed.

This domain explores interdisciplinary skills development, applied learning through Living Lab environments, accessible workforce pathways, and the collaboration between industry, colleges, universities, and professional bodies needed to build sustainable thermal performance assurance capability at scale.