LG Launches All-Electric Heat Recovery Heat Pump VRF Solution

LG Electronics introduced the LG Multi V i, an all-electric Heat Recovery Heat Pump Variable Refrigerant Flow (VRF) system for commercial building applications in the United States. The system is designed to support energy efficiency, operational simplicity, and flexible building design requirements.

The LG Multi V i is powered by the proprietary LG Neural Engine, which uses onboard controls to monitor environmental and operational conditions. The system tracks temperature, occupancy, humidity, and energy consumption, providing alerts when preset thresholds are exceeded to support facility management and energy planning.

Compared to the previous-generation Multi V 5 models, the Multi V i may improve Energy Efficiency Ratio (EER) by up to 28.3%. The system uses low-GWP R-32 refrigerant with a reduced refrigerant charge, contributing to lower environmental impact.

The system is engineered for consistent operation across a wide range of outdoor conditions, operating range from -22° F to 126° F with targeted zoning and independent temperature control. The system is suitable for hospitals, schools, high-rise offices, hotels, and airports.

The Multi V i features a compact outdoor unit design with up to 22 tons of capacity in a single frame; a four-sided heat exchanger; and fewer outdoor units required for large installations

The system incorporates load- and sound-management functions that adjust operation based on conditions. Typical sound levels range from approximately 50–70 dB(A)

Maintenance-related features include: auto-tuning, remote firmware updates, and compressor balancing. These features are intended to reduce downtime and service calls, supporting both installation and ongoing maintenance efficiency.

The LG Multi V i is positioned for commercial facilities seeking centralized control, energy management visibility, and adaptable VRF system performance within evolving efficiency and environmental requirements.

Note: This piece was created with the help of generative AI tools and edited by our content team for clarity and accuracy.