Industrial Energy Optimization

Optimal sizing of solar PV, battery storage, and thermal storage for microgrids. Includes heat demand prediction, VPP flexibility assessment, and ancillary grid service eligibility analysis.

Real-time monitoring and optimization of CDU (Coolant Distribution Unit) performance for data centre liquid cooling systems. PUE optimization, predictive maintenance, and thermal load balancing.

AI-driven optimization for commercial refrigeration systems. Demand-side flexibility from thermal inertia, compressor sequencing, and defrost scheduling aligned with energy prices.

Multi-compressor sequencing, leak detection, and pressure optimization for industrial compressed air networks. Load-shift to off-peak hours using AI-powered demand prediction.

AI-powered detection of machine production cycles and unplanned downtime in aluminium die-casting cells. Automated control of TTU (tool tempering), AMS (compressed air), and hydraulic auxiliaries to eliminate non-productive energy consumption during stoppages — while preserving restart readiness and OEE.

One lightweight software agent replaces expensive protocol converters. Connects meters, inverters, batteries, compressors, and heat meters to FYXO Cloud via 6 industrial protocols — pure software, zero hardware, deploy in minutes.

Depot-level charge scheduling for commercial EV fleets. Grid capacity management, solar self-consumption maximization, and V2G readiness for ancillary service participation.

Energy optimization for greenhouses, irrigation pumps, grain dryers, and cold storage. Weather-driven scheduling and integration with on-farm renewables.