Digitalisation & Smart Geothermal Systems

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 Every project we deliver integrates AI-supported load forecasting and behavioural profiling. By combining historical usage data, local climate patterns, and zoning inputs, we dynamically adapt system settings to minimize energy waste, optimize source-side extraction, and extend system lifespan. 

 We apply machine learning and geospatial analysis to assess and map geothermal and hybrid potential, overlaying data such as surface temperature, zoning, land use, and subsurface conditions. This enables early-stage screening, fast-track feasibility, and risk-aware development planning. 

 All our modular ORCs and tailored heat pump units come equipped with embedded telemetry, enabling real-time system monitoring, performance benchmarking, and automated environmental and energy reports – reducing OPEX and ensuring compliance across regulatory frameworks. 

 We go beyond traditional 5th generation design by deploying Smart 5th+ Gen Heat Networks – integrating adaptive control systems, heat-as-a-service platforms, and predictive diagnostics into multi-source, multi-user networks. 

 We are currently developing our proprietary ground source design platform, enabling faster simulation of vertical and horizontal loop systems, hybrid integrations (with solar/ASHP/UTES), and lifecycle carbon and cost analyses. The tool is tailored for UK-specific regulatory and soil profiles, and will be offered under license in 2026. 

 By mid-2026, our Digital Twin Platform will provide live 3D geothermal reservoir modelling, predictive maintenance, and financial scenario planning – bringing a new level of transparency and investor confidence to both shallow and deep geothermal infrastructure.