IIT Delhi Lead Team develops a smarter HVAC filter AI framework with the aim of healthier indoor AI

New Delhi: In a notable advance in the quest for better indoor air quality and energy efficiency, a selected group of researchers led by Professor Amit Rawal of the Faculty of Textile and Textile Engineering, IIT Delhi, has developed a machine learning framework for designing smart air filters for HVAC (heating, ventilation, air conditioning) systems.

This paper, entitled “Machine Learning Framework for the Hydrodynamic Design of Efficient Air Filters for HVAC Systems,” is published in Separation and Purification Techniques. This study focuses on a key challenge in HVAC systems: filters that trap more harmful particulate matter. However, the mechanism limits the velocity of the airflow, resulting in increased energy consumption and demand and inefficient performance.

Smart filters using AI

A new machine learning-based approach allows researchers to predict both filtration efficiency and fluid flow resistance by training models using filter experimental data from around the world. By predicting both filtration efficiency and airflow resistance, researchers were able to create air filters that provide more clean air that reduces energy costs.

Researchers then tested the framework with real industrial data from Elofic Industries Ltd., an established manufacturer of filtration solutions. The system supported meaningful research using practical and practical applications, from schools to hospitals to office spaces.

“This powerful industrial and cademia partnership demonstrates how AI can accelerate innovation, cleanse indoor air, reduce energy costs, and open up better preparedness for future health crises,” Professor Amit Rawal said. “By leveraging AI, our goal is to ensure that everyone, from schools and hospitals to work and home, has access to a healthier indoor environment.”

Lessons from the pandemic

The Covid-19 pandemic has highlighted the importance of indoor air quality as inadequate ventilation and inadequate filtration are associated with increased levels of transmission. With urban populations spend most of their time indoors, reliance on low-cost, sustainable HVAC systems has never been more than ever before.

As a result, initiative work could not occur at a better time to promote public health outcomes while reducing the environmental impact of energy-intensive HVAC systems, with IIT Delhi as the leading facility.

Cross-border collaboration

This study is based on a diverse and rich pool of expertise from teams in IIT Delhi and collaborators from Borros University, KTH Royal Institute of Technology, NIT Raipur, Bennett University and Elofic Industries Ltd.

Interdisciplinary members of the team involved in the project include doctoral students Siddharth Shukla, Danvendra Singh and Alok Maurya. Professor Ugr Chhaveesh Manocha; Professor Anuj Kumar Shukla, Dr Summit Sharma, Dr Vijay Kumar, Professor Nawar Kadi and Professor Artem Krachenko. Industry expert Kamlesh Koul.

This study shows how academia and industry collaborative research can provide sustainable and scalable solutions to global health and energy-related global challenges.