Industrial heat modelling
Represent baseline demand, constraints, and operating profiles for industrial processes.
OptiFEM is a modelling and optimisation platform for industrial thermal energy systems. INNOV8HEAT applies PCMs, high‑temperature heat pumps (HTHP), and AI‑driven scheduling to convert surplus renewable electricity into useful heat when and where it matters.
The platform is designed for engineers, energy managers, and decision‑makers who need to move from “good ideas” to quantified retrofit plans. OptiFEM combines site data, equipment models, and scenario management to evaluate options such as electrification, storage, and operational optimisation, then produces comparable outputs (cost, energy, emissions, and practical constraints) to support investment decisions.
INNOV8HEAT addresses sustainable industrial heat by integrating phase change materials (PCMs), high‑temperature heat pumps, and advanced decision support. It emphasises rigorous data management (GDPR/FAIR), real‑world prototyping, and scalable deployment strategies.
Practically, this means building validated digital representations of industrial heat systems, linking them to operational data, and using optimisation to decide when to generate heat, when to store it, and when to discharge it—all while meeting process constraints. The approach supports phased deployment: from baseline characterisation, to pilot integration, to scalable roll‑out.
Convert surplus renewable electricity into useful heat using high‑temperature heat pumps, stabilised by thermal storage where needed.
Use PCM‑based storage to shift heat production in time, reduce peak loads, and maintain process temperature stability.
Apply AI‑supported optimisation and scheduling to align production with tariffs, flexibility opportunities, and site constraints.
Represent baseline demand, constraints, and operating profiles for industrial processes.
Simulate charging/discharging and temperature‑specific storage for process stability.
Model HTHP capacity, COP, and integration with storage and demand.
Optimise operation using demand forecasts, renewables, and market signals.
Value stacking, dynamic pricing, and flexibility participation pathways.
Materials, enablement, and scaling support for adoption across sectors.