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Natural ventilation (NV) is a relevant passive strategy for the design of buildings in seek of energy savings and the improvement of the indoor air quality and the thermal comfort. The main aim of this work is to present a comprehensive NV modeling study of a non-rectangular floor-plan dwelling. Given the arbitrary shape of the building, recourse is made to computational fluid dynamics (CFD) to determine the surface-averaged pressure coefficients ( Cp¯). The CFD model was calibrated to match experimental data from an extensive wind tunnel database for low-rise buildings. Then,  Cp¯ computation via CFD is used to feed the building performance simulation software EnergyPlus, in replacement of the built-in Swami and Chandra parametric model that is only valid for estimating  Cp¯ in rectangular floor-plan buildings. This computational tool is used to investigate the effect of NV on the thermal performance and the airflow rate in a social housing located in the Argentine Littoral region. Simulation results of the considered building show that NV enables to reduce even more than 65% of the cooling degree-hours. Furthermore, regarding to the  Cp¯ source (either CFD or Swami and Chandra’s), it is also found that this data has a considerable effect on the airflow rates, but a little effect on the thermal performance.


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Computational modeling of natural ventilation in low-rise non-rectangular floor-plan buildings

Show Author's information Juan M. Gimenez1,2( )Facundo Bre1,3Norberto M. Nigro1,2Victor Fachinotti1,2
Centro de Investigación de Métodos Computacionales (CIMEC), UNL, CONICET, Predio "Dr. Alberto Cassano", Colectora Ruta Nacional 168 s/n, 3000, Santa Fe, Argentina
Facultad de Ingeniería y Ciencias Hídricas - Universidad Nacional del Litoral, Ciudad Universitaria, Paraje "El Pozo", Santa Fe, Argentina
Facultad Regional Concepción del Uruguay (FRCU), Universidad Tecnológica Nacional (UTN), 3260, Concepción del Uruguay, Argentina

Abstract

Natural ventilation (NV) is a relevant passive strategy for the design of buildings in seek of energy savings and the improvement of the indoor air quality and the thermal comfort. The main aim of this work is to present a comprehensive NV modeling study of a non-rectangular floor-plan dwelling. Given the arbitrary shape of the building, recourse is made to computational fluid dynamics (CFD) to determine the surface-averaged pressure coefficients ( Cp¯). The CFD model was calibrated to match experimental data from an extensive wind tunnel database for low-rise buildings. Then,  Cp¯ computation via CFD is used to feed the building performance simulation software EnergyPlus, in replacement of the built-in Swami and Chandra parametric model that is only valid for estimating  Cp¯ in rectangular floor-plan buildings. This computational tool is used to investigate the effect of NV on the thermal performance and the airflow rate in a social housing located in the Argentine Littoral region. Simulation results of the considered building show that NV enables to reduce even more than 65% of the cooling degree-hours. Furthermore, regarding to the  Cp¯ source (either CFD or Swami and Chandra’s), it is also found that this data has a considerable effect on the airflow rates, but a little effect on the thermal performance.

Keywords: computational fluid dynamics, natural ventilation, EnergyPlus, building performance simulation, airflow network model, pressure coefficient

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Publication history
Copyright
Acknowledgements

Publication history

Received: 12 March 2018
Revised: 02 July 2018
Accepted: 04 July 2018
Published: 25 July 2018
Issue date: December 2018

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Acknowledgements

For funding this work, we would like to thank Universidad Nacional del Litoral via CAI+D 2016 PJ 50020150100018LI. Also, we would like to thank the Agency for Science, Technology and Innovation (ASaCTeI) of the Province of Santa Fe (Argentina) via the Research Project 2010-022-16 "Optimization of the energy efficiency of buildings in the Province of Santa Fe". The present work uses the computational resources of the Pirayú group, acquired with funds from ASaCTeI through Project AC-00010-18, Resolution N° 117/14. This equipment is part of the National System of High Performance Computing of the Argentine Ministry of Science and Technology.

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