4.7 Review

Review of tracer gas-based methods for the characterization of natural ventilation performance: Comparative analysis of their accuracy

Journal

BUILDING AND ENVIRONMENT
Volume 160, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2019.106180

Keywords

Tracer gas methods; Occupant-generated CO2 methods; Natural airflow measurement

Funding

  1. French Ministry of Sustainable Development

Ask authors/readers for more resources

Natural ventilation systems, taking advantage of natural driving forces, help to reconcile energy efficient buildings with a good Indoor Air Quality (IAQ). Its efficiency depends on several factors including climatic regions, seasons, building configurations, and surrounding characteristics. Building regulations often prescribe minimum airflow, which promotes the implementation of mechanical ventilation systems in new constructions. Their performance is invariant and easily verifiable making them convenient. Increasing incentives towards building energy sobriety encourage the use of natural or hybrid ventilation systems in new buildings. However, the lack of a measurement protocol often prevent from justifying that those systems verify air change requirements. It partially explains their weak implementation in new constructions. The purpose of this paper consists in establishing a literature review concerning the measurement of natural airflows. The literature review allowed identifying tracer gas methods, including also occupant-generated CO2 methods, as being widely used methods to assess natural ventilation. Tracer gas methods allow the measurement of natural airflows, as well as indicators related to air distribution, without interfering with the flow pattern. After describing those methods, this paper discusses their suitability towards the measurement of natural airflows. They either rely on assumptions whose violation impact their accuracy, or practical limitations prevent from in-situ measuring. For instance, some methods, which are widely used in natural ventilation, assume steady airflows during the measurement. Some innovative protocols, also based on tracer gas principles are also reported. Some insights are given towards an increase of the reliability of tracer gas methods.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Correction Multidisciplinary Sciences

The Scales Project, a cross-national dataset on the interpretation of thermal perception scales (vol 45, pg 234, 2019

Marcel Schweiker, Amar Abdul-Zahra, Maira Andre, Farah Al-Atrash, Hanan Al-Khatri, Rea Risky Alprianti, Hayder Alsaad, Rucha Amin, Eleni Ampatzi, Alpha Yacob Arsano, Montazami Azadeh, Elie Azar, Bannazadeh Bahareh, Amina Batagarawa, Susanne Becker, Carolina Buonocore, Bin Cao, Joon-Ho Choi, Chungyoon Chun, Hein Daanen, Siti Aisyah Damiati, Lyrian Daniel, Renata De Vecchi, Shivraj Dhaka, Samuel Dominguez-Amarillo, Edyta Dudkiewicz, Lakshmi Prabha Edappilly, Jesica Fernandez-Aguera, Mireille Folkerts, Arjan Frijns, Gabriel Gaona, Vishal Garg, Stephanie Gauthier, Shahla Ghaffari Jabbari, Djamila Harimi, Runa T. Hellwig, Gesche M. Huebner, Quan Jin, Mina Jowkar, Renate Kania, Jungsoo Kim, Nelson King, Boris Kingma, M. Donny Koerniawan, Jakub Kolarik, Shailendra Kumar, Alison Kwok, Roberto Lamberts, Marta Laska, M. C. Jeffrey Lee, Yoonhee Lee, Vanessa Lindermayr, Mohammadbagher Mahaki, Udochukwu Marcel-Okafor, Laura Marin-Restrepo, Anna Marquardsen, Francesco Martellotta, Jyotirmay Mathur, Grainne McGill, Isabel Mino-Rodriguez, Di Mou, Bassam Moujalled, Mia Nakajima, Edward Ng, Marcellinus Okafor, Mark Olweny, Wanlu Ouyang, Ana Ligia Papst de Abreu, Alexis Perez-Fargallo, Indrika Rajapaksha, Greici Ramos, Saif Rashid, Christoph F. Reinhart, Ma. Isabel Rivera, Mazyar Salmanzadeh, Karin Schakib-Ekbatan, Stefano Schiavon, Salman Shooshtarian, Masanori Shukuya, Veronica Soebarto, Suhendri, Mohammad Tahsildoost, Federico Tartarini, Despoina Teli, Priyam Tewari, Samar Thapa, Maureen Trebilcock, Jorg Trojan, Ruqayyatu B. Tukur, Conrad Voelker, Yeung Yam, Liu Yang, Gabriela Zapata-Lancaster, Yongchao Zhai, Yingxin Zhu, Zahra Sadat Zomorodian

SCIENTIFIC DATA (2020)

Article Thermodynamics

Thermal performance of PCM-to-air heat exchangers in hot desert climate

Mohamed Dardir, Fariborz Haghighat, Mohamed El Mankibi

SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT (2020)

Article Construction & Building Technology

Dynamic measurement of the airflow rate in a two-zones dwelling, from the CO2 tracer gas-decay method using the Kalman filter

Gabriel Remion, Bassam Moujalled, Mohamed El Mankibi

Summary: The measurement of natural airflows in multi-zone passive-stack ventilated dwellings is challenging. A new protocol based on the Kalman filter and a concentration correction procedure was proposed to address this issue. The results of laboratory testing showed that the new protocol was more accurate and less sensitive compared to the traditional 2-points decay method.

BUILDING AND ENVIRONMENT (2021)

Article Construction & Building Technology

New qualitative approach based on data analysis of European building stock and retrofit market

Yousra Laaroussi, Myriam Bahrar, Eva Zavrl, Mohamed El Mankibi, Uros Stritih

SUSTAINABLE CITIES AND SOCIETY (2020)

Article Construction & Building Technology

Occupant presence and behavior: A major issue for building energy performance simulation and assessment

Y. Laaroussi, M. Bahrar, M. El Mankibi, A. Draoui, A. Si-Larbi

SUSTAINABLE CITIES AND SOCIETY (2020)

Article Thermodynamics

Data driven occupancy information for energy simulation and energy use assessment in residential buildings

Karthik Panchabikesan, Fariborz Haghighat, Mohamed El Mankibi

Summary: Occupant schedules and energy-use behavior are crucial inputs for building energy simulations and management. This study proposes a data-driven framework for extracting distinct occupant schedules in residential buildings and develops linear and logistic regression models to represent occupant activity level and presence/absence state. The research demonstrates different occupant patterns in buildings and shows better prediction results for lighting and plug load consumption data in terms of energy usage.

ENERGY (2021)

Article Construction & Building Technology

Mid-term and long-term changes in building airtightness: A field study on low-energy houses

Bassam Moujalled, Valerie Leprince, Sylvain Berthault, Andres Litvak, Nolwenn Hurel

Summary: This paper aims to quantify and describe the changes in building airtightness over different time scales, identifying factors such as the number of levels, roof type, and building material that may explain variations. Results show a slight increase in air permeability over time, without necessarily correlating with the increase in the number of leakages detected.

ENERGY AND BUILDINGS (2021)

Review Construction & Building Technology

Uncertainty in building fan pressurization tests: Review and gaps in research

A. Melois, F. R. Carrie, M. El Mankibi, B. Moujalled

Summary: This study provides an overview of the sources of measurement uncertainty in building fan pressurization tests, including errors from models, measuring equipment, protocols, and analysis. The review shows that some sources can be quantified or controlled, but there are still many unanswered questions and research gaps.

JOURNAL OF BUILDING ENGINEERING (2022)

Article Construction & Building Technology

Analysis and comparison of thermal comfort indicators based on a long-term campaign in low energy residences

Maria Jose Rueda Lopez, Bassam Moujalled, Gaelle Guyot, Benjamin Golly, Michel Ondarts, Frederic Wurtz, Evelyne Gonze

Summary: This article evaluates thermal comfort using various indicators based on temperature and humidity, and found that all tested indicators are sensitive to occupancy scenario and season. The results suggest that using a time step of 1 hour is sufficient for calculating temperature and humidity-based comfort indicators in low-energy houses, even with low-cost sensors.

JOURNAL OF BUILDING ENGINEERING (2023)

Article Construction & Building Technology

Quantitative correlation between buildings air permeability indicators: Statistical analyses of over 400,000 measurements

Bassam Moujalled, Benedikt Kolsch, Adeline Melois, Valerie Leprince

Summary: This paper examines the comparison of air permeability indicators used in various countries and seeks to establish default conversion equations between these indicators. The study finds that the specific air leakage rate per envelope area and the air change rate are the most frequently used indicators, and the building's compactness is a key geometric parameter for characterising the relationship between these indicators.

ENERGY AND BUILDINGS (2023)

Article Construction & Building Technology

Thermal performance prediction of an existing building with framing system using the IRT method

Hajar Benhmidou, Zaid Romani, Mohamed El Mankibi, Abdeslam Draoui

Summary: This study focused on representing the energy state of an existing building in Morocco using in-situ measurements. Infrared thermography was used for thermal diagnosis and TRNSYS software for energy modeling. A comparative study was conducted on different scenarios of the building to analyze cooling and heating energy needs with and without a concrete frame.

ADVANCES IN BUILDING ENERGY RESEARCH (2021)

Proceedings Paper Architecture

Assessment of wind impact on building air leakage measurements using a model scale experiment

Adeline Bailly Melois, Anh Dung Tran, Mohamed El Mankibi, Francois Remi Carrie, Bassam Moujalled, Gaelle Guyot

12TH NORDIC SYMPOSIUM ON BUILDING PHYSICS (NSB 2020) (2020)

Article Construction & Building Technology

Buried water-phase change material storage for load shifting: A parametric study

Chao Zeng, Xiaoling Cao, Fariborz Haghighat, Yanping Yuan, Lubomir Klimes, Mohamed E. Mankibi, Mohamed Dardir

ENERGY AND BUILDINGS (2020)

Article Construction & Building Technology

Examining temporally varying nonlinear effects of urban form on urban heat island using explainable machine learning: A case of Seoul

Parth Bansal, Steven Jige Quan

Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Can windcatcher's natural ventilation beat the chill? A view from heat loss and thermal discomfort

Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit

Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.

BUILDING AND ENVIRONMENT (2024)

Review Construction & Building Technology

A systematic review of ventilation solutions for hospital wards: Addressing cross-infection and patient safety

Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh

Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Field study of meeting thermal needs of occupants in old residential buildings in low-temperature environments using personalized local heating

Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin

Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Home environment exposure and sick building syndrome (SBS) symptoms among adults in southern China: Health associations in 2010 and 2019

Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang

Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Characteristics of droplets emission immediately around mouth during dental treatments

Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong

Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Influence of talking behavior of infected patients and the associated exposure risk in a ventilated negative-pressure ward

Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong

Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Does window/door opening behaviour during summer affect the bedroom environment and sleep quality in a high-density sub-tropical city

Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan

Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Non-intrusive personal thermal comfort modeling: A machine learning approach using infrared face recognition

Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun

Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context

Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong

Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Seasonal analysis of land surface temperature using local climate zones in peak forest basin topography: A case study of Guilin

Nan Mo, Jie Han, Yingde Yin, Yelin Zhang

Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

The reliability of models for converting formaldehyde emissions from wood-based materials to different environmental conditions

Tunga Salthammer

Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

The effect of spectrally and intensity-modified daylighting on urinary melatonin levels in office workers under real-life conditions

Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska

Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Calibrating subjective data biases and model predictive uncertainties in machine learning-based thermal perception predictions

Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang

Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.

BUILDING AND ENVIRONMENT (2024)

Article Construction & Building Technology

Super-resolution-assisted rapid high-fidelity CFD modeling of data centers

Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel

Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.

BUILDING AND ENVIRONMENT (2024)