A REVIEW BASED STUDY ON THERMAL COMFORT OF NATURALLY VENTILATED CLASSROOMS

Authors

  • Anuj K. Chandiwala Assistant Professor, Civil Engineering Department, C.K. Pithawala College of Engg. & Technology, Surat 395007, Gujarat, India
  • Dr. Mital J. Dholawala Assistant Professor, Civil Engineering Department, C.K. Pithawala College of Engg. & Technology, Surat 395007, Gujarat, India
  • Dr. Soumita D. Bid Assistant Professor, Civil Engineering Department, C.K. Pithawala College of Engg. & Technology, Surat 395007, Gujarat, India
  • Dr. Tandra Banerjee Assistant Professor, Civil Engineering Department, C.K. Pithawala College of Engg. & Technology, Surat 395007, Gujarat, India
  • Dr. Digant A. Pastagia Associate Professor, Civil Engineering Department, Shree Swami Atmanand Saraswati Institute of Technology, Surat – 395006, Gujarat, India.

DOI:

https://doi.org/10.29121/shodhkosh.v5.i1.2024.3702

Keywords:

Thermal Comfort, Naturally Ventilated Classrooms, Temperature, Humidity, Air Velocity, Adaptive Thermal Comfort Models

Abstract [English]

In classrooms with natural ventilation, thermal comfort has a significant impact on students' academic performance, output, and general well-being. Naturally ventilated classrooms are becoming more popular as a practical substitute for mechanically ventilated environments as a result of growing awareness of sustainability and energy efficiency. With an emphasis on occupant behaviour, building design, climate effects, and adaptive thermal comfort models, this review of the literature examines at the state of the art in thermal comfort studies concerning these kinds of environments. It highlights how important passive design techniques—like ventilation, shading, and orientation—are for creating ideal temperature conditions without the need for energy-intensive devices. The evaluation also emphasizes how crucial it is for occupants to be adaptable, especially in a variety of climates where natural ventilation might not be enough. In addition to sustainable alternatives like mixed ventilation systems and improved building designs, issues including poor air quality, climatic extremes, and design limitations are covered in detail. The study also points out important research gaps, such as the absence of longitudinal evaluations, regional studies, and their integration with contemporary technologies. The goal of this review is to present a thorough understanding of the variables influencing the thermal environment in naturally ventilated classrooms by combining important findings and suggesting future research avenues. A multidisciplinary approach is required to create creative, situation-specific solutions that complement educational aims and sustainability objectives, thereby improving the learning atmosphere for students. This study fills in knowledge gaps and provides researchers, architects, and policymakers with useful insights that add to the continuing conversation on sustainable classroom design.

References

Ahmed, S., Mahmoud, A., & Hassan, R. (2022). Evaluating thermal comfort through field studies: Participatory approaches in classroom design. Energy and Buildings, 245, 111078.

Alvarez, S., Bermejo, M., & Rodríguez, E. (2014). Night ventilation and evaporative cooling techniques in hot and arid regions. Renewable and Sustainable Energy Reviews, 39, 51-59.

Brager, Gail S., & Baker, Lindsay. (2009). Adaptive comfort standards in the built environment: Theory and application. Building Research & Information, 37(1), 27–34. DOI: https://doi.org/10.1080/09613210902899785

Chen, Qingyan, Zhang, Yue, & Zhou, Xiaoyun. (2017). Hybrid ventilation systems and indoor air quality in naturally ventilated classrooms. Indoor Air, 27(3), 706-718.

Chen, Qingyan, Li, Wei, & Zhao, Jing. (2023). Limitations of simulation models in replicating real-world thermal comfort dynamics in classrooms. Sustainable Cities and Society, 80, 103738.

Chong, Chee Hoong, Ibrahim, Mohd Hamdan, & Ismail, Siti Khadijah. (2022). Adaptive thermal comfort model for educational buildings in a hot-humid climate.

Chong, Wei Kit, Gan, Kok Wei, & Wong, Kiat Chong. (2021). The effectiveness of adaptive comfort models in improving thermal comfort perception in naturally ventilated buildings. Building and Environment, 202, 108094.

Chong, Wei Kit, Gan, Kok Wei, & Wong, Kiat Chong. (2022). Adaptive thermal comfort models in tropical educational buildings: Addressing local climate and occupant behavior. Building and Environment, 197, 107832.

Crawley, Drury B., Lawrie, Linda K., Winkelmann, Frederick C., Buhl, Fred M., et al. (2008). EnergyPlus: Creating a new-generation building energy simulation program. Energy and Buildings, 36(8), 837–853.

de Dear, Richard J., & Brager, Gail S. (1998). Developing an adaptive model of thermal comfort and preference. ASHRAE Transactions, 104(1), 145-167.

Fanger, Povl Ole. (1970). Thermal comfort: Analysis and applications in environmental engineering. Danish Technical Press.

Givoni, Baruch. (1998). Climate considerations in building and urban design. Wiley.

IEA. (2021). Buildings and energy efficiency. International Energy Agency.

Khalil, Sameh, Elsayed, Naglaa, & Youssef, Ahmed. (2020). Thermal comfort strategies for arid regions: The role of passive cooling techniques and high thermal mass. Energy and Buildings, 214, 109850.

Kim, Jungsoo, de Dear, Richard, & Parkinson, Thomas. (2021). Field studies on adaptive thermal comfort in tropical climates. Building and Environment, 189, 107528.

Kumar, Arjun, Patel, Rajesh, & Sharma, Neha. (2022). Integrating machine learning with simulation models for thermal comfort predictions in classrooms. Energy Reports, 8, 1459-1468.

Kwok, Alison G., & Rajkovich, Nicholas B. (2010). Addressing climate change in comfort standards. Building Research & Information, 38(4), 372–380.

Li, Bing, Chen, Fang, & Zhang, Wei. (2020). Reliability and limitations of subjective survey data in adaptive comfort models. Energy Reports, 6, 2691-2700.

Li, Yue, Sun, Hui, & Wang, Jian. (2020). Seasonal variations and adaptive comfort in temperate climates: Implications for natural ventilation design. Building Simulation, 13(4), 763-775.

Li, Yue, Wang, Jian, & Zhang, Hongwei. (2021). Challenges in implementing adaptive thermal comfort models in buildings with centralized HVAC systems. Energy and Buildings, 233, 110672.

Li, Yue, Zhang, Hongwei, & Wang, Jian. (2021). Improving cross-ventilation in tropical classrooms using CFD simulations. Building and Environment, 202, 108087.

Lu, Yucheng, Cai, Hongbo, & Xie, Shaoyong. (2020). Application of machine learning for thermal comfort prediction: A review. Renewable and Sustainable Energy Reviews, 131, 110036.

Mahdavi, Ardeshir, Berger, Clemens, & Tatzl, Eva. (2022). Challenges in adaptive thermal comfort models in extreme climates. Building Simulation, 15(1), 59-72.

Mahdavi, Ardeshir, Berger, Clemens, & Tatzl, Eva. (2022). Integrating adaptive thermal comfort with air quality management in naturally ventilated classrooms: Challenges and solutions. Building and Environment, 210, 108928.

Manu, Sanjeev, Rawal, Rajan, & Shukla, Yogendra. (2016). Thermal comfort and adaptive behavior in Indian classrooms: A case study. Energy and Buildings, 128, 646-654.

Nicol, Fergus, & Humphreys, Michael. (2002). Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings, 34(6), 563–572. DOI: https://doi.org/10.1016/S0378-7788(02)00006-3

Zhang, Hui, Arens, Edward, & Kim, Jungsoo. (2021). Temporal and seasonal flexibility in thermal comfort standards. Energy and Buildings, 244, 111015

Downloads

Published

2024-06-30

How to Cite

Chandiwala, A. K., Dholawala, M. J., Bid, S. D., Banerjee, T., & Pastagia, D. A. (2024). A REVIEW BASED STUDY ON THERMAL COMFORT OF NATURALLY VENTILATED CLASSROOMS. ShodhKosh: Journal of Visual and Performing Arts, 5(1), 596–602. https://doi.org/10.29121/shodhkosh.v5.i1.2024.3702