Case Studies

Enhancing Air Quality at Jindal Steel Corporate Office

Airvoice has been a long-term technology partner to Jindal Steel Ltd., delivering indoor air quality improvements across multiple sites, including the corporate office in Gurugram, NTH Building in New Delhi, and Bhikaji Cama Place. This case highlights results from one representative site, where a data-driven upgrade to the air system significantly improved indoor air quality (IAQ), energy use, and workplace health.

Project Overview

Jindal Steel Limited's Corporate Office in Gurugram, India, struggled with high PM2.5 levels. Airvoice implemented a data-driven air quality system with advanced filtration and automated ventilation. The solution drastically improved IAQ, enhanced workplace health, and optimized energy use, creating a smarter, healthier workspace.

Challenge

Persistently high PM2.5 concentrations throughout the building, often reaching outdoor pollution levels. This posed a significant indoor air quality risk to occupants.

Solution

  • Real-Time Monitoring: Deployed sensors to track pollution and HVAC performance.
  • Filtration Upgrade: Optimized AHU filters for better air quality and durability.
  • Demand-Controlled Ventilation (DCV): Adjusted ventilation dynamically based on CO2 and PM2.5 levels for optimal air quality and efficiency.

Results

  • Consistently safe indoor air quality achieved across the building.
  • Immediate effect within an hour of AHU activation, even at 50% power, with further gains possible at higher power levels.
  • Significant energy savings while maintaining optimal ventilation rates through optimized AHU power consumption.

Implementation of DCV

Conditions

  • The building is equipped with a Johnson Controls BMS, but ventilation is managed separately via ERV.
  • ERV operates manually on a fixed schedule from 8:30 AM to 8:30 PM.

What Was Done

  • Installed air quality monitoring sensors.
  • Developed a custom hardware device connecting the ERV to the Airvoice platform.
  • Deployed the Airvoice platform and configured automated ventilation activation/deactivation based on CO2 levels.

Result

Ventilation operating time was reduced by 10x, from 85 hours to 9 hours during the control week.
2025-08-14 21:23 Indoor Air Quality