thibault_title

Summary

Funder

NUI Galway College of Engineering and Informatics

Researcher

Thibault Marzullo

Starting date

03/05/2015

Finishing date

03/05/2019 

Summary and objectives

The proposed research will develop and validate a method to enable the use of physics-based computational models to be used to make near real-time predictions of ambient air properties in indoor environments (i.e. direction and speed of air flows, thermal conditions, and pollutant dispersion), allowing building operators and/or public health services to predict indoor conditions for energy savings and safety purposes.

Projected research outputs

The projected output is a software suite for automatically generating and solving reduced-order models of indoor environments.

Conferences proceedings

  Marzullo T, Mullen DT, Geron M, Keane MM, Monaghan RFD. Generating reduced-order models from CFD simulations for efficient, flexible and accurate simulations of air quality in urban environments. Operational Energy Management Management of the Built Environement Seminar, Dublin, Ireland Nov, 2015

T Marzullo, DT Mullen, M Geron, MM Keane, RFD Monaghan.  Generating reduced-order models from CFD simulations for efficient, flexible and accurate simulations of air quality in urban environments. IBPSA-Ireland Research Symposium on Building Performance, Dublin, Ireland, Jan 2016

T Marzullo, M Geron, MM Keane, RFD Monaghan. Towards fast, flexible and accurate models of dispersal of chemical, biological, radiological and nuclear agents in urban areas. 19th Sir Bernard Crossland Symposium, Belfast, UK, April 2016

S Yousefian, T Marzullo, G Bourque, RFD Monaghan. Study of systematic flow field discretization methods for hybrid CFD-CRN emissions modelling. 8th European Combustion Meeting, Dubrovnik, Croatia, April 18-21, 2017

 

Journal publications

 

 

 

Links

 Image taken from QUIC-URB, An industrial area pollutant dispersion model, Dept. of Mechanical Engineering, University of Utah

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