IIT Delhi, Sweden Collaboration Delivers Smarter Indoor Air Filtration
AI tool designs smarter HVAC filters for cleaner air.
Research team led by the Indian Institute of Technology (IIT) Delhi, in collaboration with experts from Sweden, has developed an innovative artificial intelligence (AI) tool to design smarter HVAC (heating, ventilation, and air-conditioning) filters. Unveiled on September 30, 2025, this cutting-edge technology promises to enhance indoor air quality, a critical need highlighted during the COVID-19 pandemic when people spent extended periods indoors.
The AI tool, detailed in a study published in the journal Separation and Purification Technology, predicts the performance of HVAC filters by balancing two key factors: their ability to trap harmful particles and their impact on airflow efficiency. Traditional high-efficiency filters often restrict airflow, making HVAC systems less effective and more energy-intensive. This new tool addresses that challenge, paving the way for filters that deliver cleaner air without compromising system performance.
Lead researcher Professor Amit Rawal from IIT Delhi’s Department of Textile and Fibre Engineering explained, “We trained machine learning models using diverse global data from previous studies to predict how well a filter cleans air and how easily air passes through it.” By combining experimental data with AI, the team created a model capable of guiding the design of filters for real-world applications. The tool’s effectiveness was validated using industrial data from Elofic Industries Ltd, a Faridabad-based manufacturer of automotive and industrial filters.
“This collaboration between academia and industry showcases how AI can drive innovation,” Rawal told PTI. “Our tool not only improves indoor air quality but also reduces energy costs, making it a game-changer for schools, hospitals, offices, and homes.” The technology could play a vital role in preparing for future health crises by ensuring healthier indoor environments.
The development process involved training the AI model on extensive datasets, enabling it to analyze filter performance with high accuracy. However, Rawal noted challenges in using AI, including the need for vast amounts of training data, significant computational resources, and the lack of interpretability in some models. Despite these hurdles, the team’s success marks a significant step toward accessible, high-performance air filtration systems.
This AI-driven innovation is set to transform the HVAC industry, offering a sustainable solution to improve air quality while minimizing energy consumption. As concerns about indoor air pollution grow, IIT Delhi’s breakthrough could ensure cleaner, safer spaces for everyone, from classrooms to corporate offices.
