Research
The CFD & HSE Simulation Research Group utilizes advanced numerical techniques to address critical challenges in industrial process safety, occupational health and safety, indoor air quality, air pollution, multiphase flows, chemical reaction engineering, porous scale modelling, and public health. Through rigorous numerical simulations, we provide in-depth understanding and predictive capabilities for complex phenomena across these interconnected domains. Furthermore, we are increasingly incorporating AI/ML algorithms with our numerical data obtained to provide enhanced critical insights, achieve more accurate predictions, faster analysis, and optimized solutions for a wide spectrum of vital industrial and public health issues. This interdisciplinary approach fosters a deeper understanding of complex phenomena and facilitates the development of more effective strategies for enhancing safety, health, and environmental protection.
Air Pollution
To tackle air pollution, we harness the power of CFD. Our models simulate how pollutants from diverse sources—including industrial facilities, vehicular traffic, and even large oil tank fires—disperse throughout the atmospheric environment. These detailed simulations are crucial for understanding the real-world impact of emissions on air quality across different scales. The insights we gain directly support the creation of effective pollution control strategies, enhance urban planning initiatives, and bolster overall environmental management efforts. Beyond standard applications, our expertise extends to employing advanced CFD and other numerical techniques like Monte Carlo methods for predicting hazardous substance release amounts and locations. This unique approach utilizes health observations, offering a powerful alternative to traditional concentration or dosage-based methods (Fig. 5) [7].
![Spatial distribution of the correlation coefficient, J, for health effects observations and 100 iterations using (a) 16, (b) 37, (c) 44, (d) 58, (e) 79 and (f) 100 receptors. The blue cross symbol denotes the real source location [7].](/_next/image?url=%2Fresearch%2FFigure_5.webp&w=3840&q=75)
Figure5:Spatial distribution of the correlation coefficient, J, for health effects observations and 100 iterations using (a) 16, (b) 37, (c) 44, (d) 58, (e) 79 and (f) 100 receptors. The blue cross symbol denotes the real source location [7].
References
[7]C.D. Argyropoulos, S. Elkhalifa, E. Fthenou, G.C. Efthimiou, S. Andronopoulos, A. Venetsanos, I.V. Kovalets, K.E. Kakosimos, Source reconstruction of airborne toxics based on acute health effects information, Scientific Reports, 8 (2018) 5596.