TRUST Phase 2 is a collaboration between two tech SMEs (BlockDox and Verv), each with existing AI/ML-based products, to develop a system that incorporates and advances their respective AI/ML technologies. This system will be deployed in several modular buildings across the UK as operational pilots in real-world environments. Portakabin, a leading modular building manufacturer with a large rental business, will provide the test and demonstration units. Operational parameters such as heating and cooling will be controlled in response to varying occupancy levels and indoor and outdoor air quality conditions to achieve optimized demand-side management. The project will measure the ROI and benefits, particularly regarding energy efficiency and operational cost savings.
BlockDox and UCL will collaborate to develop simulation models of the portable buildings using advanced AI/ML modeling techniques. These models will facilitate the development of prediction algorithms and enable testing of control strategies in silico, providing a wide range of test conditions not achievable in real-world scenarios. The models will also provide confidence to end users that the system will perform as expected, even under atypical operating conditions.
D-Fine will provide oversight and assurance that the AI/ML algorithms are explainable, trustworthy, and responsible. The AI assurance partner will assess the system for explainability, transparency, trustworthiness, and responsibility. The pilot’s output will be a series of compelling case studies as the project