Project Overview

BESS For Peak Shaving in The Middle East deploys a 2.2MW/5.1MWh modular LFP system for an Israel beverage manufacturing facility, where an intelligent EMS manages TOU arbitrage, peak shaving, and PV surplus capture to reduce electricity costs.

To strengthen operational competitiveness under time-of-use tariffs, FFD POWER deployed a modular BESS solution for a beverage manufacturing facility in Israel. This project shows how a BESS lowers electricity costs and increases energy flexibility by charging during low-tariff valley periods (and with surplus onsite PV) and discharging during peak-tariff hours—enabling time-of-use arbitrage, peak shaving, and higher renewable self-consumption.

Row of outdoor battery storage cabinets for a 2.2MW/5.1MWh peak shaving and valley filling BESS project in Israel
FFD POWER EMS dashboard showing PV output, grid load, and energy storage status for TOU arbitrage and peak shaving control

Project Background

Beverage production lines are electricity-intensive and highly sensitive to short-term load swings from compressors, chillers, and packaging equipment. With escalating grid tariffs and demand-charge exposure, the factory required a site-level energy buffer that could respond quickly to load changes, capture low-cost energy, and coordinate with existing PV generation to reduce curtailment and maximize economic returns.

Project Challenge

FFD POWER Solution

FFD POWER implemented a scalable LFP battery system using 22 units of Galaxy 233L-AIO-2H. The solution combines pre-integrated hardware with an intelligent EMS that monitors real-time tariffs and site load, and dynamically optimizes charge/discharge commands based on SoC, PV forecasts, and tariff signals. Seamless on/off-grid switching and rapid transient response support industrial reliability while maximizing time-of-use arbitrage value.

System Specifications

Operational Logic: TOU Arbitrage and Peak Shaving

The system uses an EMS to optimize time-of-use arbitrage, peak shaving, and PV self-consumption through dynamic charge/discharge scheduling: