Research on air infiltration predictive models for residential building at different pressure

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Research on air infiltration predictive models for residential building at different pressure Research Article

Xiangli Li, Wenqian Zhou (), Lin Duanmu School of Civil Engineering, Dalian University of Technology, Liaoning 116024, China

Abstract

Keywords

The pressure difference in buildings under natural state is usually below 10 Pa, and the air change

air infiltration,

rate at 50 Pa (ACH50) is often used to evaluate building airtightness. There is a dearth of research

airflow coefficient,

on air infiltration predictive model at different pressures in China. Moreover, the airflow coefficient

regression analysis,

(C), a key parameter for air infiltration, is necessary to determine ACH50. Based on prior experimental

blower door test,

data, several methods including ordinary least squares (OLS), stepwise regression, partial least squares (PLS) and nonlinear fitting with independent variable screening methods, were employed to establish an airflow coefficient model. The determination coefficient (R2) and the variation coefficient of the root-mean-square error (CV(RMSE)) of these models were compared. The simulation results show that R2 of the airflow coefficient models for apartments and villas increased by a

tracer gas test

Article History Received: 13 December 2019 Revised: 22 June 2020 Accepted: 30 June 2020

maximum of 25.9% and 2.3%, respectively, using PLS method. The improvement with nonlinear fitting was weaker. Based on K-P model, a conversion model between ACH50 and ACH4 was

© Tsinghua University Press and

developed as an air infiltration predictive model under natural state. Blower door and tracer gas

Springer-Verlag GmbH Germany,

tests were conducted to verify the conversion model. The expected error was approximately 10%,

part of Springer Nature 2020

which may be caused by measurement errors and shielding from surrounding obstructions. Further studies need to focus on obtaining more experimental data for building airtightness and developing a conversion model for high-rise residential buildings.

1

Introduction

E-mail: [email protected]

Indoor/Outdoor Airflow and Air Quality

The objective of building energy-saving has been pursued for several decades. In 2015, building energy consumption accounted for about 19.13% of the total energy consumption in China (Hou 2017). Building energy consumption will undoubtedly continue to increase with a higher standard of living, necessitating the development of technologies for energy savings in buildings. Therefore, ultra-low energy buildings, nearly zero energy buildings and zero energy buildings have been rapidly developed in recent years (Esbensen and Korsgaard 1977; Wang and Xu 2016). An important index for building energy-saving is ACH50, which represents building air infiltration at a pressure difference of 50 Pa. However, air infiltration that actually affects building energy consumption is the airflow rate natural state for which the pressure difference (ΔP) is far less than 50 Pa. There are many ways to test air infiltration

in bu