PX-25-A002 - Enhancing Indoor Air Quality in Academic Buildings Using Adaptive Grey Wolf Optimizer Control Algorithm ✓ Most Recent

Indoor air quality (IAQ) is a critical determinant of health and cognitive performance, particularly in educational settings where students and faculty spend prolonged hours. Poor IAQ has been linked to respiratory illnesses, allergies, and cognitive impairments, with studies indicating reductions in cognitive function of up to 15%. Globally, indoor air pollution contributes to approximately 3.8 million premature deaths annually. Many university institutions, particularly those with historical infrastructure, face challenges in maintaining effective heating, ventilation, and air conditioning (HVAC) systems. As a result, elevated concentrations of pollutants such as carbon dioxide (CO2), volatile organic compounds (VOCs), and particulate matter (PM) persist, adversely affecting health and learning outcomes. Addressing IAQ in academic buildings presents a vital opportunity to enhance student well-being while promoting educational and health equity. This study examines IAQ within the Moody Science Building at Schreiner University, a representative historic academic structure. By identifying primary indoor pollution sources and analyzing pollutant levels, the research applies an adaptive Grey Wolf Optimizer algorithm, previously validated in the literature, to optimize IAQ in real-world educational settings. The study prioritizes cost-effective, energy-efficient, and scalable solutions tailored to the constraints of historically significant and ethnically diverse academic institutions. Potential interventions include targeted HVAC system upgrades and enhance natural ventilation strategies, each assessed for effectiveness and feasibility. The anticipated outcomes include a measurable 10% improvement in IAQ, contributing to healthier and more productive learning environments. Additionally, findings from this research will inform broader applications for similar institutions, advancing a sustainable and equitable approach to IAQ management in higher education.