A Systematic Review on Indoor Environmental Quality in Naturally Ventilated School Classrooms: A Way Forward

Kapoor, Nishant Raj; Kumar, Ashok; Meena, Chandan Swaroop; Kumar, Anuj; Alam, Tabish; Balam, Nagesh Babu; Ghosh, Aritra

doi:10.1155/2021/8851685

Cited by 49 publications

(39 citation statements)

References 106 publications

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“…There is a direct relationship between the building’s indoor conditions and an occupant’s health. Factors such as poor maintenance, bad IEQ and building age will worsen the building’s condition and negatively impact the occupant’s health (Kapoor et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

Relationship between environmental indoor conditions of a classroom and the performance of undergraduate students

Filho¹,

Dias

Storopoli

et al. 2022

ARCH

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PurposeThis research aims at studying the influence of a classroom’s inner environmental conditions on undergraduate students’ performance using an experimental methodology.Design/methodology/approachThe Uchida-Kraepelin test (U-K test) was applied to measure the performance of a group of 47 students in a selected classroom that was arranged according to the following experimental conditions: air-conditioning on, and doors and windows closed (D1); doors and windows open, and air-conditioning off (D2); air-conditioning off, and doors and windows closed (D3). After completing the tests, questionnaires were distributed to evaluate the students’ assessment of each set of environmental conditions.FindingsOn-site measurements of humidity and carbon dioxide levels stress the importance of ensuring good natural ventilation through open doors and windows, independently of whether the air-conditioning system is operated or not. Also, the authors find that the students’ self-assessment regarding the inner environmental conditions for each studied set was entirely accurate, with set D3 being assessed as the worst. The U-K test scores for each environmental set did not show statistically significant differences, which means that, in the studied conditions, the student’s performance in the tests was not affected by the inner environmental conditions.Practical implicationsThere is a direct relationship between the building’s indoor conditions and an occupant’s health. Factors such as poor maintenance, bad indoor environmental quality (IEQ) and building age will worsen the building’s condition and negatively impact the occupant’s health. Educational buildings with poor IEQ can reduce the concentration and performance of occupants.Social implicationsSchool is an important place to help students grow in their various capabilities. They spend approximately 30% of their daily lives in schools for their educational activities. Since most of their activities are performed indoors, indoor environmental attributes, such as light, heat, air and sound, should be maintained as required. In general, schools are not thermally comfortable. The extreme thermal environment of classrooms affects students’ concentration. Thermal discomfort may also cause irritation. In addition to reduced concentration, such an environment could also cause tiredness, sluggishness and health problem.Originality/valueDespite the importance of the issue, scientific investigations of the correlations between students’ performance and the quality of scholar buildings’ inner environmental conditions are still relatively recent. In this context, this research further explores the effect of a classroom’s different environmental inner conditions on the performance of undergraduate students at a university in São Paulo/Brazil.

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Section: Introductionmentioning

confidence: 99%

Relationship between environmental indoor conditions of a classroom and the performance of undergraduate students

Filho¹,

Dias

Storopoli

et al. 2022

ARCH

View full text Add to dashboard Cite

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“…Thus, it is important to consider new solutions to overcome such a situation in the way of adaptive reuse. This can be achieved in many ways, such as engineering controls and retrofitting of existing structures or improving the indoor air quality [9,21].…”

Section: Existing Buildingsmentioning

confidence: 99%

“…Air quality is one of the factors that plays a major role in providing a healthy IEQ [21]. The quality of indoor air can be compromised by both outdoor and indoor sources of pollutants related to building materials, equipment, animals, and humans [22].…”

Section: Introductionmentioning

confidence: 99%

Designing Post COVID-19 Buildings: Approaches for Achieving Healthy Buildings

et al. 2022

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The COVID-19 pandemic forced the accessibility, social gathering, lifestyle, and working environment to be changed to reduce the infection. Coronavirus spreads between people in several different ways. Small liquid particles (aerosols, respiratory droplets) from an infected person are transmitted through air and surfaces that are in contact with humans. Reducing transmission through modified heating, ventilation, and air conditioning (HVAC) systems and building design are potential solutions. A comprehensive review of the engineering control preventive measures to mitigate COVID-19 spread, healthy building design, and material was carried out. The current state-of-the-art engineering control preventive measures presented include ultraviolet germicidal irradiation (UVGI), bipolar ionization, vertical gardening, and indoor plants. They have potential to improve the indoor air quality. In addition, this article presents building design with materials (e.g., copper alloys, anti-microbial paintings) and smart technologies (e.g., automation, voice control, and artificial intelligence-based facial recognition) to mitigate the infections of communicable diseases.

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“…Human health, performance, satisfaction, and productivity inside built environments are affected primarily by indoor environment quality (IEQ). Among major IEQ parameters like thermal comfort, acoustic comfort, and visual comfort, the indoor air quality (IAQ) is directly linked to sick building syndrome (SBS) which affects occupants' comfort and health negatively [1][2][3][4]. Generally, the most effective and usual method to improve IAQ is to bring in enough fresh air from outside [5].…”

Section: Introductionmentioning

confidence: 99%

“…The outer air pollutant enters the building and enhances the concentration of indoor air pollutants (IAPs). IAPs have recently been acknowledged as having an equivalent impact on human health as outside air pollution [4]. People spend most of their waking time inside different types of buildings and full sleeping time in residential buildings majorly.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based CO2 Prediction for Office Room: A Pilot Study

Kapoor

Kumar

et al. 2022

Wireless Communications and Mobile Computing

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Air pollution is increasing profusely in Indian cities as well as throughout the world, and it poses a major threat to climate as well as the health of all living things. Air pollution is the reason behind degraded indoor air quality (IAQ) in urban buildings. Carbon dioxide (CO2) is the main contributor to indoor pollution as humans themselves are one of the generating sources of this pollutant. The testing and monitoring of CO2 consume cost and time and require smart sensors. Thus, to solve these limitations, machine learning (ML) has been used to predict the concentration of CO2 inside an office room. This study is based on the data collected through real-time measurements of indoor CO2, number of occupants, area per person, outdoor temperature, outer wind speed, relative humidity, and air quality index used as input parameters. In this study, ten algorithms, namely, artificial neural network (ANN), support vector machine (SVM), decision tree (DT), Gaussian process regression (GPR), linear regression (LR), ensemble learning (EL), optimized GPR, optimized EL, optimized DT, and optimized SVM, were used to predict the concentration of CO2. It has been found that the optimized GPR model performs better than other selected models in terms of prediction accuracy. The result of this study indicated that the optimized GPR model can predict the concentration of CO2 with the highest prediction accuracy having R , RMSE, MAE, NS, and a20-index values of 0.98874, 4.20068 ppm, 3.35098 ppm, 0.9817, and 1, respectively. This study can be utilized by the designers, researchers, healthcare professionals, and smart city developers to analyse the indoor air quality for designing air ventilation systems and monitoring CO2 level inside the buildings.

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A Systematic Review on Indoor Environmental Quality in Naturally Ventilated School Classrooms: A Way Forward

Cited by 49 publications

References 106 publications

Relationship between environmental indoor conditions of a classroom and the performance of undergraduate students

Relationship between environmental indoor conditions of a classroom and the performance of undergraduate students

Designing Post COVID-19 Buildings: Approaches for Achieving Healthy Buildings

Machine Learning-Based CO2 Prediction for Office Room: A Pilot Study

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