While Polar Night Energy provided the hardware, Elisa Industriq brought the operational intelligence. Its AI-driven control system transforms the Sand Battery from a normal heat storage into an active energy market participant. The software continuously decides when to charge, discharge, and bid into Fingrid’s (a Finnish Transmission System Operator) reserve markets, ensuring the asset earns revenue while delivering reliable, profitable and sustainable heat. This is not simple automation; it’s real-time, multi-market optimization. Elisa Industriq’s algorithms forecast heat demand, electricity spot prices, and reserve market signals, then allocate capacity for the maximum impact.
”The Sand Battery can be adjusted quickly and precisely, and it also has a remarkably long energy buffer, which makes it ideal for reserve market optimization. Our AI solution automatically identifies the best moments to charge and discharge the Sand Battery and allocates flexibility capacity to the reserve products that need it most. Continuous optimization makes it a truly profitable investment,” said Jukka-Pekka Salmenkaita.
Elisa Industriq’s energy optimization solution balances three objectives simultaneously:
• Meeting local heating needs
• Minimizing electricity costs
• Maximizing reserve market income
Salmenkaita explained why this matters:
“With advanced optimization, annual returns can exceed far above conventional strategies. That difference shortens payback time and makes projects like this scalable.”