Lowering Cold-Chain OPEX with TOU Strategy — in an Israeli Cold Storage Facility

Project Overview

BESS for Industrial TOU Arbitrage in Israeli shows how a 500kW/1075kWh cabinet battery energy storage system can reduce electricity costs for a refrigeration-intensive site by shifting energy consumption across high and low tariff periods. Cold storage facilities typically operate 24/7 with large compressor loads, making them highly exposed to time-of-use (TOU) price spreads and demand charges. By charging during off-peak periods and discharging during peak windows, the BESS lowers the site’s effective energy cost while also shaving short demand spikes. The EMS coordinates TOU scheduling, SOC targeting, and demand-limiting to keep operations stable and refrigeration uninterrupted.

Project Background

Cold storage is an energy-intensive industry where refrigeration systems run continuously to maintain temperature and product quality. In Israel, industrial electricity tariffs can create significant cost differences between peak and off-peak hours, and maximum demand can dominate the monthly bill. At the same time, refrigeration loads can ramp quickly as compressors cycle or as doors open and close, creating short peaks and stressing the power connection. A behind-the-meter BESS enables an effective cost-control tool: it time-shifts energy to reduce peak purchases and caps demand without impacting cold-chain continuity.

Project Challenge

FFD POWER Solution

FFD POWER deployed a 500kW/1075kWh cabinet BESS integrated with an EMS configured for industrial TOU arbitrage and demand control. The EMS schedules charging during low-tariff windows and discharging during peak tariff periods, while enforcing a demand cap to shave short spikes from compressor cycling. SOC targets and protection constraints maintain battery health and guarantee operational readiness, ensuring savings without compromising the facility’s cold-chain requirements.

System Specifications

Operational Logic: TOU Scheduling + Demand Cap​

The EMS logic combines tariff-driven scheduling with real-time demand control: