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  • Institut Teknologi Bandung (ITB), one of Indonesia’s leading engineering universities, partnered with LG to test the AI-integrated MULTI V i system in a real academic environment. The objective was to measure how effectively it could reduce energy consumption and enhance indoor comfort.

Modern campus building with triangular roofs, glass facade, fountain, and pine trees in landscaped setting Modern campus building with triangular roofs, glass facade, fountain, and pine trees in landscaped setting

  • The Challenge: Fluctuation of temperature and humidity

    In ITB’s Labtek VI building, fluctuating occupancy and uneven solar heat gain created inconsistent temperatures and high energy use. The previous HVAC system often ran unnecessarily, prompting the need for a solution that could adapt in real time.

Classroom split by temperature: empty side at 23°C, occupied side with students at 28°C Classroom split by temperature: empty side at 23°C, occupied side with students at 28°C

  • From Installation to Intelligent Operation

    LG installed one outdoor unit and four indoor units for a classroom and computer lab, configured for room size, load variations, and temperature differences. MULTI V i continuously monitors indoor conditions and adjusts operation automatically to maintain comfort and minimize energy waste.

HVAC system stages: outdoor unit, technician wiring, ceiling vent, and wiring connections HVAC system stages: outdoor unit, technician wiring, ceiling vent, and wiring connections

  • AI Smart Care

    The AI engine analyzes eight key variables, such as temperature, humidity, air flow, and set temperature. Through machine learning, it calculates the time to reach the target temperature and fine-tunes compressor frequency, refrigerant flow, and fan speed. This enables rapid cooling when the load is high and energy savings when it is low, which is ideal for spaces with varying occupancy.

AI Smart Care diagram showing deep learning optimizing HVAC via temp, humidity, airflow, and system outputs AI Smart Care diagram showing deep learning optimizing HVAC via temp, humidity, airflow, and system outputs

  • AI Indoor Space Care

    The AI Indoor Space Care function groups indoor units according to environmental similarity. Units work together to balance temperature across the room, automatically activating or deactivating as needed. In the case of this site, temperature differences stayed within one degree Celsius without manual adjustments, preventing overcooling and saving energy.

AI Indoor Space Care interface showing classroom climate data with 0.5°C temperature difference across room AI Indoor Space Care interface showing classroom climate data with 0.5°C temperature difference across room

  • Results Proven by Data

    The performance of MULTI V i was monitored over a 90-day period, with the system alternating daily between Normal mode and AI mode. The Monthly Energy Consumption results clearly show that AI mode consistently required less energy to operate, even while maintaining stable indoor comfort across classrooms and laboratories.

Bar chart comparing monthly power use in Normal vs AI mode, showing reduced energy in AI mode over 90 days Bar chart comparing monthly power use in Normal vs AI mode, showing reduced energy in AI mode over 90 days

  • The data on total energy saving highlights the impact more directly. AI mode reduced overall power consumption by 49.2 percent and lowered electricity costs by about 49 percent compared to Normal mode.* These savings remained consistent across daily, weekly, and monthly patterns, confirming the efficiency of MULTI V i in a real-world academic setting.
    *The results demonstrated in this article are based on the operation of one Multi V i (Model: ARUN140LTE6) and four DUAL Vane 4-Way Cassette units (Models: ARNU28GTBB4, ARNU42GTAB4) conducted from November 1st, 2024, to February 28th, 2025.
    *These results are specific to the conditions and setup of the site, and may vary under different conditions.

AI mode vs Normal mode chart showing 49% reduction in power use and electricity cost over 90 days AI mode vs Normal mode chart showing 49% reduction in power use and electricity cost over 90 days

  • ITB faculty praised the system’s performance, noting its ability to adapt and maintain comfort. For LG, the project showcased how AI-enabled HVAC can deliver measurable savings without compromising user experience, setting a strong precedent for data-driven climate control in institutional environments.

*This verification case study was conducted with sponsorship from LG Electronics.

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LG HVAC unit at ITB University, Indonesia with aerial campus view and branding for education sector case study LG HVAC unit at ITB University, Indonesia with aerial campus view and branding for education sector case study
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* Products and solutions may vary according to country and operating conditions.

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