Airflow measurements using averaging Pitot tube under restricted conditions

Cui, Can; Cai, Wenjian; Chen, Haoran

doi:10.1016/j.buildenv.2018.05.014

Cited by 48 publications

(17 citation statements)

References 13 publications

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“…This microcontroller implements the PID control algorithm to keep the fan pressure at the fixed setpoint. The averaging pitot tube (APT) [ 49 ] is adopted in this study to measure the airflow rate in each terminal. The APT is installed in each damper and its measurement error is within 0.6%.…”

Section: Methodsmentioning

confidence: 99%

A novel CO2-based demand-controlled ventilation strategy to limit the spread of COVID-19 in the indoor environment

Cai

2022

Building and Environment

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Section: Methodsmentioning

confidence: 99%

A novel CO2-based demand-controlled ventilation strategy to limit the spread of COVID-19 in the indoor environment

Cai

2022

Building and Environment

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“…Because of the huge number of measuring points in the present examination, a multi-tube manometer was built and utilized, Figure 6 Speed is estimated utilizing a Pitot-static tube, while pressure taps are utilized to measure the static pressure difference. In the present investigation, a standard Pitot-tube was manufactured [24].…”

Section: Measurementsmentioning

confidence: 99%

Computational and Experimental Investigations of the Impacts of Window Parameters on Indoor Natural Ventilation in “Sultan Al-Ashraf Qaytbay” Mosque

Mohammed¹,

Gawad²,

Nassief³

2020

ARFMTS

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Sultan Al-Ashraf Qaytbay mosque is viewed as one of the most beautiful achieved landmarks of late Egyptian Mamluk architecture. The mosque architectural design is considered exceptional for its refined extents and the subdued yet exquisite decorations. In this paper, Computational fluid dynamics (CFD) simulation joined with wind tunnel experiments are performed to investigate the airflow characteristics inside the mosque of Sultan Al-Ashraf Qaytbay due to natural ventilation brought about by window openings. Wind tunnel experiments are performed to provide the boundary conditions for the subsequent CFD simulations. The results of CFD simulation are contrasted with that of the wind tunnel experiments. The comparison demonstrates great agreement between the computational and experimental results, which confirms the legitimacy of the present computational procedure. Interesting outcomes and productive conclusions are inferred from the obtained results.

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“…The measurements were concentrated on two main parameters, which are approaching the airspeed, and the static pressure (P) on the model walls. Flow speed was measured by a standard Pitot-static tube, which was locally fabricated [24]. As shown in Figure 8a, the Pitot-tube was fabricated from a metal capillary tube (inner tube) of length 900 mm and diameter 1.7 mm capsulated in a steel tube (external tube).…”

Section: Experimental Measurementsmentioning

confidence: 99%

Artificial Neural Networks to Assess the Effect of Window Parameters on Indoor Natural Ventilation in “Sultan Al-Ashraf Qaytbay” Mosque

Mohammed

AbdelGawad

Nassief

2020

The Egyptian International Journal of Engineering Sciences and

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The Mosque of Sultan al-Ashraf Qaytbay is seen as one of the most beautiful features of late Egyptian Mamluk architecture. The architectural design of the mosque is exceptional due to its fine ranges and wonderful decoration. In this paper, Artificial Neural Networks (ANN) model was incorporated with wind tunnel experiments to investigate the properties of airflow within the Sultan al-Ashraf Mosque Qaytbay due to the natural ventilation caused by window openings. Wind tunnel experiments were utilized to supply the ANN model with the required data essential for the model training and establishment. The outcomes from the ANN model were validated using the results from the wind tunnel experiments. The comparison confirms the veracity of the ANN model results. Present results assured that it is very important to consider the aerodynamics and the bases of the natural ventilation when carrying out the restoration process by specialists to maintain the same performance of the original construction. ANN enables to easy predict the flow field when operating conditions are changed much easier and faster than the traditional computational and experimental methods.

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Airflow measurements using averaging Pitot tube under restricted conditions

Cited by 48 publications

References 13 publications

A novel CO2-based demand-controlled ventilation strategy to limit the spread of COVID-19 in the indoor environment

A novel CO2-based demand-controlled ventilation strategy to limit the spread of COVID-19 in the indoor environment

Computational and Experimental Investigations of the Impacts of Window Parameters on Indoor Natural Ventilation in “Sultan Al-Ashraf Qaytbay” Mosque

Artificial Neural Networks to Assess the Effect of Window Parameters on Indoor Natural Ventilation in “Sultan Al-Ashraf Qaytbay” Mosque

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