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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64364
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Architecture
School Of Architecture, IPS Academy, Indore
School of Architecture
IPS Academy, Indore
This study aims to develop a grading framework tailored to educational buildings, integrating key environmental and perceptual parameters influencing occupant health and comfort. The research synthesizes existing literature on SBS and IEQ to identify measurable indicators such as indoor air quality, thermal comfort, lighting conditions, and occupant exposure. Based on these parameters, a structured grading system is proposed to categorize buildings according to their potential SBS risk levels. The framework emphasizes architectural evaluation rather than medical diagnosis, offering a systematic approach to assess indoor environmental performance in educational settings.
KEYWORDS
The study establishes that Sick Building Syndrome (SBS) in educational buildings is a multifaceted issue influenced by the interaction of indoor environmental conditions and occupant- related factors. Through the review of existing literature, it is evident that parameters such as indoor air quality, thermal comfort, lighting conditions, and occupant density significantly impact both health and cognitive performance. In the context of educational environments, where prolonged exposure and high mental engagement are inherent, the implications of these factors become more pronounced. The primary objective of this research was to develop a typology-specific framework for evaluating SBS risk in educational buildings. This objective has been achieved through the identification of key parameters and the formulation of a semi-quantitative grading system. The proposed framework integrates observable environmental conditions, indicative data, and occupant perception into a structured evaluation model. By introducing a scoring mechanism and SBS Index, the study provides a systematic approach to assess indoor environmental performance without relying on advanced measurement tools. However, the study is limited by its reliance on observational and literature-based data, which may introduce subjectivity in evaluation. The absence of advanced environmental measurements and long-term monitoring restricts the precision of the assessment. Furthermore, the findings are influenced by contextual factors such as climate and building usage patterns, which may vary across different regions. Future research can expand upon this study by incorporating real-time environmental monitoring, larger sample sizes, and comparative analysis across different building typologies. The framework may also be refined through integration with digital tools or building performance simulations to enhance accuracy and scalability. Despite these limitations, the study contributes a practical and adaptable tool for assessing SBS risk in educational buildings, emphasizing the importance of indoor environmental quality in shaping healthier and more effective learning environments.
Daisey, J. M., Angell, W. J., & Apte, M. G. (2003). Indoor air quality, ventilation and health symptoms in schools: An analysis of existing information. Indoor Air, 13(1), 53–64. https://doi.org/10.1034/j.1600-0668.2003.00153.x WIT Press. (n.d.). Indoor air quality study in a school building (Chennai case). Retrieved from https://www.witpress.com/elibrary/wit-transactions-on- ecology-and-the-environment/136/21115 Manipal Academy of Higher Education. (2020). Indoor air quality and sick building syndrome in green and conventional buildings. Retrieved from https://researcher.manipal.edu/en/publications/indoor-air- quality-and-sick-building-syndrome-are-green-buildings arXiv. (2024). Indoor air quality dataset and analysis in developing countries. Retrieved from https://arxiv.org/abs/2407.14501 arXiv. (2024). Indoor air quality dynamics and pollutant behaviour study. Retrieved from https://arxiv.org/abs/2407.14393 arXiv. (2022). Air pollution and indoor exposure in Indian cities. Retrieved from https://arxiv.org/abs/2208.09410 Wargocki, P., & Wyon, D. P. (2007). The effects of moderately raised classroom temperatures and classroom ventilation rate on the performance of schoolwork by children. HVAC&R Research, 13(2), 193–220. https://doi.org/10.1080/10789669.2007.10390951 Mendell, M. J., & Heath, G. A. (2005). Do indoor pollutants and thermal conditions in schools influence student performance? A critical review of the literature. Indoor Air, 15(1), 27–52. https://doi.org/10.1111/j.1600- 0668.2004.00320.x Frontczak, M., Schiavon, S., Goins, J., Arens, E., Zhang, H., & Wargocki, P. (2012). Quantitative relationships between occupant satisfaction and indoor environmental quality aspects. Building and Environment, 49, 15–23. https://doi.org/10.1016/j.buildenv.2011.09.011 Lehtinen, M., et al. (2014). Indoor environmental quality and health in schools. World Health Organization Regional Office for Europe. Madureira, J., Paciência, I., Rufo, J., Ramos, E., Barros, H., & Fernandes, E. O. (2015). Indoor air quality in schools and its relationship with children's respiratory symptoms. Atmospheric Environment, 118, 145–156. https://doi.org/10.1016/j.atmosenv.2015.07.028
Publication Date
5/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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