High-Resolution CFD and In-Situ Monitoring Based Validation of an Industrial Passive Air Conduction System (PACS)

Ádám László Katona, Huang Xuan, Sara Elhadad, István Kistelegdi and István Háber
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Ádám László Katona: Energia Design Building Technology Research Group, Szentágothay Research Centre, H-7624 Pécs, Hungary
Huang Xuan: Department of Architecture, School of Architecture and Design, Southwest Jiaotong University, Chengdu 611756, China
Sara Elhadad: Energia Design Building Technology Research Group, Szentágothay Research Centre, H-7624 Pécs, Hungary
István Kistelegdi: Energia Design Building Technology Research Group, Szentágothay Research Centre, H-7624 Pécs, Hungary
István Háber: Energia Design Building Technology Research Group, Szentágothay Research Centre, H-7624 Pécs, Hungary

Energies, 2020, vol. 13, issue 12, 1-23

Abstract: Natural driven ventilation is a widely used technique in hot and arid climate, but it is rarely known that it can lead to significant energy saving in a moderate climate too. In this paper, an existing building is presented that was designed with a passive air conduction system (PACS), where wind and buoyancy effects induce air to be exchanged without external energy needs. The aim is to show that the design methodology, using numerical simulation to give accurate results, is able to use them in further developments. Due to this design process, the specific building possesses numerous special properties, including airflow accelerating elements, solar-heated “chimneys”, and the indoor heat sources coming from the industrial technology. As the building has been constructed and was equipped with around 750 sensors (integrated and manual), it is possible to analyze the ongoing physical phenomenon in a highly detailed way and to collect the experienced dataset for further investigations. The current study carries out a complex validation of the design and the used numerical methods to give general design rules for further PACS design and support following investigations, e.g., occupant comfort prediction or latent heat storage calculation. The experiences showed that the developed computational fluid dynamics technique gives a below 99% accuracy in the velocity and the temperature field, and approximately 85% accuracy in the volume flow values, resulting in a good prediction for aerodynamic characterization of buildings, i.e., passive ventilation air exchange rate.

Keywords: passive air conduction system (PACS); natural ventilation (NV); computational fluid dynamics (CFD) validation; wind towers; building simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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