Improving Ventilation and Student Well-Being through a Remote Controlled Exhaust Fan at CTU-Pinamungajan Campus
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This study aimed to evaluate the performance and effectiveness of a sensor-based, re-mote-controlled ventilation system in improving indoor air quality, safety, and overall student well-being in welding laboratories at Cebu Technological University – Pinamungajan Campus. Using a mixed-method research design, both quantitative and qualitative data were collected from students, faculty members, and maintenance personnel through surveys, interviews, and direct observations. The study assessed key variables including ventilation efficiency, pollutant reduction, thermal comfort, health effects, and cost-efficiency of the system. Findings revealed that the installation of the remote-controlled exhaust fan significantly enhanced air circulation, resulting in reduced exposure to hazardous fumes, improved temperature regulation, and better control of indoor pollutants such as smoke and carbon dioxide. Participants reported noticeable improvements in comfort, reduced health-related issues such as headaches and respiratory discomfort, and increased focus and productivity during laboratory activities. The system also contributed to improved attendance and engagement among students by creating a healthier and more conducive learning environment. Moreover, the integration of sensor-based automation and remote functionality enabled efficient energy consumption by allowing the system to operate only when necessary. The Do-It-Yourself (DIY) design proved to be a cost-effective alternative to commercial ventilation systems while maintaining reliable performance and safety standards. Overall, the study highlights the importance of adopting affordable, technology-driven ventilation solutions in educational settings. It demonstrates that smart ventilation systems can significantly enhance environmental quality, support student health, and promote sustainable and efficient campus operations.
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Abdulhussain, S. H., Mahmmod, B. M., Alwhelat, A., Shehada, D., Shihab, Z. I., Mohammed, H. J., …Hussain, A. (2025). A Compre-hensive Review of Sensor Technologies in IoT: Technical Aspects, Challenges, and Future Directions. Computers, 14(8). https://doi.org/10.3390/computers14080342 DOI: https://doi.org/10.3390/computers14080342
Adziima, A. F., Febrianto, D., Ardiatmajaya, E., Susanto, A. B. P., Susanti, M. D., & Fauzi, E. R. (2021). Prototype Design of Automatic Switching Speed of Exhaust Fan For Air Quality Control Based On IoT. In 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA) (pp. 114-119). IEEE. DOI: https://doi.org/10.1109/ICAMIMIA54022.2021.9809416
Ali, B. M., & Akkaş, M. (2023). The Green Cooling Factor: Eco-Innovative Heating, Ventilation, and Air Conditioning Solutions in Building Design. Applied Sciences, 14(1). https://doi.org/10.3390/app14010195 DOI: https://doi.org/10.3390/app14010195
Alkaabi, K., Mehmood, K., Hdhaiba, S. B., Aljaberi, S., & Alkaabi, N. (2024). Exploring the Impact of Thermal Environment on Student Well-Being in Sustainable Campus Settings. Applied Sciences, 14(24). https://doi.org/10.3390/app142411832 DOI: https://doi.org/10.3390/app142411832
Arnal, J. M., Oranger, M., & Gonzalez-Bermejo, J. (2023). Monitoring Systems in Home Ventilation. Journal of Clinical Medicine, 12(6). https://doi.org/10.3390/jcm12062163 DOI: https://doi.org/10.3390/jcm12062163
Cao, X., Fang, H., & Yuan, X. (2025). Toward Health-Oriented Indoor Air Quality in Sports Facilities: A Narrative Review of Pollutant Dynamics, Smart Control Strategies, and Energy-Efficient Solutions. Buildings, 15(17). https://doi.org/10.3390/buildings15173168 DOI: https://doi.org/10.3390/buildings15173168
Cao, Z., Liu, Z., Zhang, C., Wang, Y., Bai, Y., & Wu, S. (2024). Performance analysis of a novel movable exhaust ventilation system for pollutant removal in industrial environments. Journal of Building Engineering, 97, 110569. https://doi.org/10.1016/j.jobe.2024.110569 DOI: https://doi.org/10.1016/j.jobe.2024.110569
Fan, X., Wargocki, P., Silvestri, A., Borkowski, E., & Schlueter, A. (2025). Mediating effects of ventilation on the impacts of temperature on human comfort, health and cognitive performance: A living lab study. Building and Environment, 285, 113587. https://doi.org/10.1016/j.buildenv.2025.113587 DOI: https://doi.org/10.1016/j.buildenv.2025.113587
Fromme, H. (2023). Indoor Air Quality. Indoor Air Quality. Springer Nature. https://doi.org/10.1007/978-3-031-40078-0 DOI: https://doi.org/10.1007/978-3-031-40078-0
Giama, E. (2021). Review on Ventilation Systems for Building Applications in Terms of Energy Efficiency and Environmental Impact Assessment. Energies, 15(1). https://doi.org/10.3390/en15010098 DOI: https://doi.org/10.3390/en15010098
Grassie, D., Milczewska, K., Renneboog, S., Scuderi, F., & Dimitroulopoulou, S. (2025). Impact of Indoor Air Quality, Including Thermal Conditions, in Educational Buildings on Health, Wellbeing, and Performance: A Scoping Review. Environments, 12(8). https://doi.org/10.3390/environments12080261 DOI: https://doi.org/10.3390/environments12080261
Jain, N., Burman, E., Robertson, C., Stamp, S., Shrubsole, C., Aletta, F., ... Davies, M. (2020). Building performance evaluation: Balancing energy and indoor environmental quality in a UK school building. Building Services Engineering Research and Technology, 41(3), 343-360. https://doi.org/10.1177/0143624419897397 DOI: https://doi.org/10.1177/0143624419897397
Jia, L. R., Han, J., Chen, X., Li, Q. Y., Lee, C. C., & Fung, Y. H. (2021). Interaction between Thermal Comfort, Indoor Air Quality and Ventilation Energy Consumption of Educational Buildings: A Comprehensive Review. Buildings, 11(12). https://doi.org/10.3390/buildings11120591 DOI: https://doi.org/10.3390/buildings11120591
Kaiser, M. S., Zenia, N., Tabassum, F., Mamun, S. A., Rahman, M. A., Islam, M. S., & Mahmud, M. (2021). 6G access network for intelligent internet of healthcare things: opportunity, challenges, and research directions. In M. S. Kaiser, A. Bandyopadhyay, M. Mahmud, and K. Ray (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer Singapore. https://doi.org/10.1007/978-981-33-4673-4_25 DOI: https://doi.org/10.1007/978-981-33-4673-4_25
Kajjoba, D., Wesonga, R., Lwanyaga, J. D., Kasedde, H., Olupot, P. W., & Kirabira, J. B. (2025). Assessment of thermal comfort and its potential for energy efficiency in low-income tropical buildings: a review. Sustainable Energy Research, 12, 25. https://doi.org/10.1186/s40807-025-00169-9 DOI: https://doi.org/10.1186/s40807-025-00169-9
Li, C., Liu, Y., Ma, H., & Luo, X. (2025). Optimizing kitchen ventilation with integrated stove air supply and fume exhaust: enhancing PM2.5 capture efficiency and energy-saving effect. Environmental Technology, 46(21), 4295-4308. https://doi.org/10.1080/09593330.2025.2500783 DOI: https://doi.org/10.1080/09593330.2025.2500783
Loremia, R., Pardiñan, E., Nilo Jr, A., Bondad, R., Lantikse, R., & Alit, D. (2020). Energy Management Practices in State Universities and Colleges (SUCs): An Assessment for an IOT Intervention. Journal of Science, Engineering and Technology, 8(1), 13-27. https://doi.org/10.61569/rfjtta26 DOI: https://doi.org/10.61569/rfjtta26
Manugas, S. B., Pepito, M. T., Fernandez, J. J. S., & Canque, M. (2022). Senior High School Tract as Determinant for College GPA: A Correlational Study. International Journal of Science and Management Studies, 5(3), 230-234. https://doi.org/10.51386/25815946/ijsms-v5i3p126 DOI: https://doi.org/10.51386/25815946/ijsms-v5i3p126
Mata, T. M., Martins, A. A., C. Calheiros, C. S., Villanueva, F., Alonso-Cuevilla, N. P., Gabriel, M. F., & Silva, G. V. (2022). Indoor Air Quality: A Review of Cleaning Technologies. Environments, 9(9). https://doi.org/10.3390/environments9090118 DOI: https://doi.org/10.3390/environments9090118
Miao, D., Cao, X., & Zuo, W. (2022). Associations of Indoor Environmental Quality Parameters with Students’ Perceptions in Undergraduate Dormitories: A Field Study in Beijing during a Transition Season. International Journal of Environmental Research and Public Health, 19(24). https://doi.org/10.3390/ijerph192416997 DOI: https://doi.org/10.3390/ijerph192416997
Niculita-Hirzel, H. (2022). Latest Trends in Pollutant Accumulations at Threatening Levels in Energy-Efficient Residential Buildings with and without Mechanical Ventilation: A Review. International Journal of Environmental Research and Public Health, 19(6). https://doi.org/10.3390/ijerph19063538 DOI: https://doi.org/10.3390/ijerph19063538
Peng, W., Su, D., & Higginson, M. (2019). A novel remote control system for air conditioning in low carbon emission buildings using sensor fusion and mobile communication technologies. Building and Environment, 148, 701-713. https://doi.org/10.1016/j.buildenv.2018.11.025 DOI: https://doi.org/10.1016/j.buildenv.2018.11.025
Piedmont, R. L. (2023). Inter-item Correlations. In F. Maggino (eds) Encyclopedia of Quality of Life and Well-Being Research (pp. 3577-3578). Springer. https://doi.org/10.1007/978-3-031-17299-1_1493 DOI: https://doi.org/10.1007/978-3-031-17299-1_1493
Saini, J., Dutta, M., & Marques, G. (2022). Indoor air pollution: a comprehensive review of public health challenges and prevention policies. In G. Marques and J. O. Ighalo (eds), Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering (pp. 105-126). Academic Press. https://doi.org/10.1016/B978-0-323-85597-6.00006-9 DOI: https://doi.org/10.1016/B978-0-323-85597-6.00006-9
Taylor, M., Brown, N. C., & Rim, D. (2021). Optimizing thermal comfort and energy use for learning environments. Energy and Buildings, 248, 111181. https://doi.org/10.1016/j.enbuild.2021.111181 DOI: https://doi.org/10.1016/j.enbuild.2021.111181
Toftum, J., & Clausen, G. (2023). Classroom airing behaviour significantly affects pupil well-being and concentration performance – Results of a large-scale citizen science study in Danish schools. Energy and Buildings, 286, 112951. https://doi.org/10.1016/j.enbuild.2023.112951 DOI: https://doi.org/10.1016/j.enbuild.2023.112951
Wang, Z., Calautit, J., Tien, P. W., Wei, S., Zhang, W., Wu, Y., & Xia, L. (2023). An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Energy and Buildings, 285, 112899. https://doi.org/10.1016/j.enbuild.2023.112899 DOI: https://doi.org/10.1016/j.enbuild.2023.112899
Yang, C., Hou, Y., Liu, T., Ma, Y., & Liu, J. (2023). Smoldering charcoal detection in forest soil by multiple CO sensors. Journal of Forestry Research, 34, 1791-1802. https://doi.org/10.1007/s11676-023-01613-6 DOI: https://doi.org/10.1007/s11676-023-01613-6
Zajda, J. I. (2023). Globalisation and dominant models of motivation theories in education. Springer. https://doi.org/10.1007/978-3-031-42895-1 DOI: https://doi.org/10.1007/978-3-031-42895-1
Zeng, L., Liu, G., Gao, J., Du, B., Lv, L., Cao, C., …Wang, Y. (2021). A circulating ventilation system to concentrate pollutants and reduce exhaust volumes: Case studies with experiments and numerical simulation for the rubber refining process. Journal of Building Engineering, 35, 101984. https://doi.org/10.1016/j.jobe.2020.101984 DOI: https://doi.org/10.1016/j.jobe.2020.101984
Zhang, S., Ai, Z., & Lin, Z. (2021). Novel demand-controlled optimization of constant-air-volume mechanical ventilation for indoor air quality, durability and energy saving. Applied Energy, 293, 116954. https://doi.org/10.1016/j.apenergy.2021.116954 DOI: https://doi.org/10.1016/j.apenergy.2021.116954
Zhang, W., Zhang, W., & Xuan, Y. (2025). Cognitive performance under dynamic supply air modulation: Dual-objective balancing of thermal comfort and work productivity. Journal of Building Engineering, 117, 114754. https://doi.org/10.1016/j.jobe.2025.114754 DOI: https://doi.org/10.1016/j.jobe.2025.114754
Zhou, S. A., Hiver, P., & Al-Hoorie, A. H. (2026). Dynamic engagement: A longitudinal dual-process, reciprocal-effects model of teacher motivational practice and L2 student engagement. Language Teaching Research, 30(3), 1228-1256. https://doi.org/10.1177/13621688231158789 DOI: https://doi.org/10.1177/13621688231158789