Thermal comfort and indoor air quality analysis of a low-energy cooling windcatcher

John Kaiser Calautit; Angelo I. Aquino; Sally Shahzad; Diana S.N.M. Nasir; Ben Richard Hughes

doi:10.1016/j.egypro.2017.03.634

Thermal comfort and indoor air quality analysis of a low-energy cooling windcatcher

John Kaiser Calautit, Angelo I. Aquino, Sally Shahzad, Diana S.N.M. Nasir, Ben Richard Hughes

Mechanical And Aerospace Engineering

Research output: Contribution to journal › Conference article

2 Citations (Scopus)

5 Downloads (Pure)

Abstract

The aim of this work was to investigate the performance of a roof-mounted cooling windcatcher integrated with heat pipes using Computational Fluid Dynamics (CFD) and field test analysis. The windcatcher model was incorporated to a 5m x 5m x3 m test room model. The study employed the CFD code FLUENT 15 with the standard k-ϵ model to conduct the steady-state RANS simulation. The numerical model provided detailed analysis of the airflow and temperature distribution inside the test room. The CO₂ concentration analysis showed that the system was capable of delivering fresh air inside the space and lowering the CO₂ levels. The thermal comfort was calculated using the Predicted Mean Vote (PMV) method. The PMV values ranged between +0.48 to +0.99 and the average was +0.85 (slightly warm). Field test measurements were carried out in the Ras-Al-Khaimah (RAK), UAE during the month of September. Numerical model was validated using experimental data and good agreement was observed between both methods of analysis.

Original language	English
Pages (from-to)	2865-2870
Number of pages	6
Journal	Energy Procedia
Volume	105
DOIs	https://doi.org/10.1016/j.egypro.2017.03.634
Publication status	Published - 31 May 2017
Event	8th International Conference on Applied Energy, ICAE 2016 - Beijing, China Duration: 8 Oct 2016 → 11 Oct 2016

Keywords

built environment
computational fluid dynamics (CFD)
cooling
energy
natural ventilation

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Calautit-etal-EP-2017-Thermal-comfort-and-indoor-air-quality-analysis-of-a-low-energy-cooling-windcatcherFinal published version, 983 KBLicence: CC BY-NC-ND 4.0

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Cite this

@article{62cfcc35d27e41508200ea7fecaa933a,

title = "Thermal comfort and indoor air quality analysis of a low-energy cooling windcatcher",

abstract = "The aim of this work was to investigate the performance of a roof-mounted cooling windcatcher integrated with heat pipes using Computational Fluid Dynamics (CFD) and field test analysis. The windcatcher model was incorporated to a 5m x 5m x3 m test room model. The study employed the CFD code FLUENT 15 with the standard k-ϵ model to conduct the steady-state RANS simulation. The numerical model provided detailed analysis of the airflow and temperature distribution inside the test room. The CO2 concentration analysis showed that the system was capable of delivering fresh air inside the space and lowering the CO2 levels. The thermal comfort was calculated using the Predicted Mean Vote (PMV) method. The PMV values ranged between +0.48 to +0.99 and the average was +0.85 (slightly warm). Field test measurements were carried out in the Ras-Al-Khaimah (RAK), UAE during the month of September. Numerical model was validated using experimental data and good agreement was observed between both methods of analysis.",

keywords = "built environment, computational fluid dynamics (CFD), cooling, energy, natural ventilation",

author = "Calautit, {John Kaiser} and Aquino, {Angelo I.} and Sally Shahzad and Nasir, {Diana S.N.M.} and Hughes, {Ben Richard}",

year = "2017",

month = may,

day = "31",

doi = "10.1016/j.egypro.2017.03.634",

language = "English",

volume = "105",

pages = "2865--2870",

journal = "Energy Procedia",

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note = "8th International Conference on Applied Energy, ICAE 2016 ; Conference date: 08-10-2016 Through 11-10-2016",

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TY - JOUR

T1 - Thermal comfort and indoor air quality analysis of a low-energy cooling windcatcher

AU - Calautit, John Kaiser

AU - Aquino, Angelo I.

AU - Shahzad, Sally

AU - Nasir, Diana S.N.M.

AU - Hughes, Ben Richard

PY - 2017/5/31

Y1 - 2017/5/31

N2 - The aim of this work was to investigate the performance of a roof-mounted cooling windcatcher integrated with heat pipes using Computational Fluid Dynamics (CFD) and field test analysis. The windcatcher model was incorporated to a 5m x 5m x3 m test room model. The study employed the CFD code FLUENT 15 with the standard k-ϵ model to conduct the steady-state RANS simulation. The numerical model provided detailed analysis of the airflow and temperature distribution inside the test room. The CO2 concentration analysis showed that the system was capable of delivering fresh air inside the space and lowering the CO2 levels. The thermal comfort was calculated using the Predicted Mean Vote (PMV) method. The PMV values ranged between +0.48 to +0.99 and the average was +0.85 (slightly warm). Field test measurements were carried out in the Ras-Al-Khaimah (RAK), UAE during the month of September. Numerical model was validated using experimental data and good agreement was observed between both methods of analysis.

AB - The aim of this work was to investigate the performance of a roof-mounted cooling windcatcher integrated with heat pipes using Computational Fluid Dynamics (CFD) and field test analysis. The windcatcher model was incorporated to a 5m x 5m x3 m test room model. The study employed the CFD code FLUENT 15 with the standard k-ϵ model to conduct the steady-state RANS simulation. The numerical model provided detailed analysis of the airflow and temperature distribution inside the test room. The CO2 concentration analysis showed that the system was capable of delivering fresh air inside the space and lowering the CO2 levels. The thermal comfort was calculated using the Predicted Mean Vote (PMV) method. The PMV values ranged between +0.48 to +0.99 and the average was +0.85 (slightly warm). Field test measurements were carried out in the Ras-Al-Khaimah (RAK), UAE during the month of September. Numerical model was validated using experimental data and good agreement was observed between both methods of analysis.

KW - built environment

KW - computational fluid dynamics (CFD)

KW - cooling

KW - energy

KW - natural ventilation

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DO - 10.1016/j.egypro.2017.03.634

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AN - SCOPUS:85020755688

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SP - 2865

EP - 2870

JO - Energy Procedia

JF - Energy Procedia

SN - 1876-6102

T2 - 8th International Conference on Applied Energy, ICAE 2016

Y2 - 8 October 2016 through 11 October 2016

ER -