scholarly journals Indoor Air Quality (IAQ) Performance in Refurbished Projects: A Case Study of Two Private Schools in Selangor

2019 ◽  
Vol 266 ◽  
pp. 02013
Author(s):  
E.M.A Zawawi ◽  
A.Z Azaiz ◽  
S.N Kamaruzzaman ◽  
N.M. Ishak ◽  
F.N.M Yussof
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Private Schools ◽  
Indoor Air ◽  
Teaching And Learning ◽  
Ventilation System ◽  
Well Being ◽  
Improvement Plan ◽  
Health And Well Being

This study discusses the Indoor Air Quality (IAQ) in two refurbished private schools in Shah Alam, Selangor. The level of IAQ may affect the comfort, health and well-being of the occupants of the building. Lack of monitoring IAQ in a school may affect the academic performance of the children. The objectives of the research are to observe the ventilation system used in the selected school and the comfort of the occupants; to measure the IAQ; and finally to provide an improvement plan for better air quality. The result shows that the IAQ level of both schools was average, so both were classified as safe for occupation. It is anticipated that this study will benefit the school owners in making sure that their school buildings are conducive to teaching and learning.

scholarly journals Analysis of the need of detailed modelling for the assessment of indoor air quality in residential buildings

2019 ◽  
Vol 111 ◽  
pp. 04043
Author(s):  
Louis Cony-Renaud-Salis ◽  
Nouamane Belhaj ◽  
Olivier Ramalho ◽  
Marc Abadie
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Large Scale ◽  
Residential Buildings ◽  
Ventilation System ◽  
Field Measurements ◽  
Well Being ◽  
Good Alternative ◽  
Specific Care

Home represents an important part of the time spent indoors and is the emblematic place of a family need, e.g. well-being, comfort and safety. In France, health agencies provide information and raise the awareness of the public on health risks and on factors likely to affect the quality of indoor air. However, indoor air quality remains difficult to assess for health investigators. A solution would be to resort to field measurements, but they are expensive and hard to apply to a large-scale population when considering the numerous pollutants found indoors. Therefore, numerical simulation represents a good alternative when accurate and realistic input data are used. We already designed such a model of a dwelling prototype using a type 98 coupling procedure between CONTAM (airflow rates and pollutants concentration determination) and TRNSYS (thermal and moisture calculation). We paid a lot of attention to the details that we thought were important: dwelling multi-zonal representation, envelope airtightness, ventilation system elements (pressure driven inlet and outlet, ducts, fan characteristics), presence of furniture, people activity and location… Nevertheless, the design of this simulation requires a very specific care. This very last point naturally induces a debate: is it necessary to design the simulation to be as accurate and realistic as it actually is, or will a simpler model provide similar results? In this study, we aim to answer that question by evaluating the sensitivity of the ULR-IAQ multipollutant index, defined in a previous study, to different levels of modelling complexity.

Indoor Air Quality in the Bedroom of a Single-Family House—A Case Study

Proceedings ◽  
2019 ◽  
Vol 16 (1) ◽  
pp. 38
Author(s):  
Katarzyna Gładyszewska-Fiedoruk
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Carbon Dioxide Concentration ◽  
Well Being ◽  
Single Family ◽  
Air Quality Measurements ◽  
Falling Asleep ◽  
And Behavior

People spend nearly 1/3 of their lives in bedrooms. Moreover, the greatest part of this time is spent in lack of awareness, so it is important to maintain suitable conditions in these areas, including air quality. In non-ventilated bedrooms, people may have trouble falling asleep, may not be resting enough during sleep, and they can wake up tired. This affects their well-being and behavior throughout the next day. Indoor air quality measurements were carried out in a single-family home bedroom. The measurements were made in unsealed windows. In the bedroom under examination, where people stay only during the night and where the door is always open and air is constantly being renewed, the carbon dioxide concentration during the night exceeded the permissible standard—1000 ppm.

scholarly journals Strengthening Taiwan’s Green Building Certification System from Aspects of Productivity and Energy Costs to Provide a Healthier Workplace

Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 118
Author(s):  
Ruey-Lung Hwang ◽  
Wei-An Chen ◽  
Yu-Teng Weng
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Green Building ◽  
Well Being ◽  
Green Buildings ◽  
Personnel Cost ◽  
Labor Costs ◽  
Certification System ◽  
Health And Well Being

This study estimates the relationship between poor indoor environmental quality (IEQ) and the increasing labor costs in green buildings in Taiwan. Specifically, poor performance of IEQ including HVAC, lighting, and indoor air quality, influences the health and well-being of occupants and leads to worse productivity, ultimately causing increased personnel cost. In Taiwan’s green building certification (GBC) system, the energy-savings category is mandatory while the IEQ category is only optional. It means that certified building cases may not reach the expected level in IEQ. Thus, this study reviews the thermal environment, indoor air quality (IAQ), and illumination performances of IEQ-certified and non-IEQ-certified buildings in 20 green buildings. Building energy and IEQ simulations were conducted to analyze the relationships between indoor comfort, energy cost, and personnel cost in green buildings. The results show that IEQ-certified green buildings averagely perform better than non-IEQ-certified ones in the aspects of IEQ and building costs. Besides, 3 of 13 non-IEQ-certified green buildings undertake extremely high additional expenditure for the poor IEQ. The results correspond to some previous findings that green-certified buildings do not necessarily guarantee good building performance. This study further inspects the pros and cons of Taiwan’s GBC system and proposes recommendations against its insufficient IEQ evaluation category. As the trade-off of energy-saving benefits with health and well-being in green buildings has always been a concern, this study aims to stimulate more quantitative research and promote a more comprehensive green building certification system in Taiwan.

Indoor air quality prediction systems for smart environments: A systematic review

2020 ◽  
Vol 12 (5) ◽  
pp. 433-453
Author(s):  
Jagriti Saini ◽  
Maitreyee Dutta ◽  
Gonçalo Marques
Keyword(s):  
Public Health ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Well Being ◽  
Smart Environments ◽  
Research Activities ◽  
Prediction Systems ◽  
The Impact ◽  
Health And Well Being

Air quality is a critical matter of concern in terms of the impact on public health and well-being. Although the consequences of poor air quality are more severe in developing countries, they also have a critical impact in developed countries. Healthcare costs due to air pollution reach $150 billion in the USA, whereas particulate matter causes 412,000 premature deaths in Europe, every year. According to the Environmental Protection Agency (EPA), indoor air pollutant levels can be up to 100 times higher in comparison to outdoor air quality. Indoor air quality (IAQ) is in the top five environmental risks to global health and well-being. The research community explored the scope of artificial intelligence (AI) in the past years to deal with this problem. The IAQ prediction systems contribute to smart environments where advanced sensing technologies can create healthy living conditions for building occupants. This paper reviews the applications and potential of AI for the prediction of IAQ to enhance building environment and public health. The results show that most of the studies analyzed incorporate neural networks-based models and the preferred evaluation metrics are RMSE, R 2 score and error rate. Furthermore, 66.6% of the studies include CO2 sensors for IAQ assessment. Temperature and humidity parameters are also included in 90.47% and 85.71% of the proposed methods, respectively. This study also presents some limitations of the current research activities associated with the evaluation of the impact of different pollutants based on different geographical conditions and living environments. Moreover, the use of reliable and calibrated sensor networks for real-time data collection is also a significant challenge.

scholarly journals Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities

2020 ◽  
Vol 12 (10) ◽  
pp. 4024 ◽  
Author(s):  
Gonçalo Marques ◽  
Jagriti Saini ◽  
Maitreyee Dutta ◽  
Pradeep Kumar Singh ◽  
Wei-Chiang Hong
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Smart Cities ◽  
Well Being ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Air Quality Monitoring ◽  
Health And Well Being

Smart cities follow different strategies to face public health challenges associated with socio-economic objectives. Buildings play a crucial role in smart cities and are closely related to people’s health. Moreover, they are equally essential to meet sustainable objectives. People spend most of their time indoors. Therefore, indoor air quality has a critical impact on health and well-being. With the increasing population of elders, ambient-assisted living systems are required to promote occupational health and well-being. Furthermore, living environments must incorporate monitoring systems to detect unfavorable indoor quality scenarios in useful time. This paper reviews the current state of the art on indoor air quality monitoring systems based on Internet of Things and wireless sensor networks in the last five years (2014–2019). This document focuses on the architecture, microcontrollers, connectivity, and sensors used by these systems. The main contribution is to synthesize the existing body of knowledge and identify common threads and gaps that open up new significant and challenging future research directions. The results show that 57% of the indoor air quality monitoring systems are based on Arduino, 53% of the systems use Internet of Things, and WSN architectures represent 33%. The CO2 and PM monitoring sensors are the most monitored parameters in the analyzed literature, corresponding to 67% and 29%, respectively.

Numerical and Experimental Modeling of Indoor Air Quality Inside a Conditioned Space with Mechanical Ventilation and DX-Air Conditioner

2020 ◽  
Vol 38 (9A) ◽  
pp. 1257-1275
Author(s):  
Wisam M. Mareed ◽  
Hasanen M. Hussen
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Ventilation System ◽  
Thermal Conditions ◽  
Airflow Rate ◽  
Air Conditioner ◽  
Breathing Zone ◽  
Lecture Room ◽  
Ventilation Performance

 Elevated CO2 rates in a building affect the health of the occupant. This paper deals with an experimental and numerical analysis conducted in a full-scale test room located in the Department of Mechanical Engineering at the University of Technology. The experiments and CFD were conducted for analyzing ventilation performance. It is a study on the effect of the discharge airflow rate of the ceiling type air-conditioner on ventilation performance in the lecture room with the mixing ventilation. Most obtained findings show that database and questionnaires analyzed prefer heights between 0.2 m to 1.2 m in the middle of an occupied zone and breathing zone height of between 0.75 m to 1.8 given in the literature surveyed. It is noticed the mismatch of internal conditions with thermal comfort, and indoor air quality recommended by [ASHRAE Standard 62, ANSI / ASHRAE Standard 55-2010]. CFD simulations have been carried to provide insights on the indoor air quality and comfort conditions throughout the classroom. Particle concentrations, thermal conditions, and modified ventilation system solutions are reported.

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