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Paper ID:IJSREM67183

Influence of Ventilation and Enclosure on Multi-Parameter Indoor Environmental Conditions: A BME680-Based IoT Study at Government Degree College, Rajendranagar

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67183

Volume:

10 |

9 |

Sep 2026

Pages:

1-31

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67183

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.

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Authors

SDB

SARA DURGA BHAVANI

Department of Chemistry

Government Degree College Rajendranagar

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SM

Satyanarayana Maheshwaram

Department of Physics

Government Degree College Rajendranagar

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AAS

Ali Ahmed Siddiq

Department of Computer Science

Government Degree College Rajendranagar

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AT

Ansh Tyagi

Department of Chemistry

Government Degree College Rajendranagar

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ADSR

A. Dhatri Sai Ram

Department of Chemistry

Government Degree College Rajendranagar

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MH

Mekala Himabindu

Department of Chemistry

Government Degree College Rajendranagar

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Mentors

SM

Satyanarayana Maheshwaram

Department of Physics

Government Degree College Rajendranagar

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Abstract

Ventilation and enclosure are primary determinants of indoor environmental heterogeneity in naturally ventilated educational buildings, yet their influence is expressed differently across thermal, hygrometric, barometric and gaseous variables. This study investigated the spatiotemporal variation of BME680-derived environmental parameters using an Internet of Things (IoT)-enabled Real-Time Environmental Intelligence System (REIS) at Government Degree College, Rajendranagar, Telangana, India. A Bosch BME680 sensor integrated with an ESP32 microcontroller was deployed across an Open Corridor, an Open (Ventilated) Room and a Closed Room, representing progressively greater degrees of enclosure and reduced natural air exchange. Temperature, relative humidity, atmospheric pressure and metal-oxide-semiconductor (MOX) gas resistance were monitored at 10:00 AM, 1:00 PM and 4:00 PM during February, March, April and June 2026; pressure-derived altitude was retained as a contextual variable. The four-month dataset revealed parameter-specific spatiotemporal behaviour. Temperature exhibited pronounced seasonal and diurnal variability, with warmer conditions during April and June and frequent midday elevation. Relative humidity and atmospheric pressure showed comparatively limited location-dependent separation. In contrast, gas resistance displayed the clearest and most persistent spatial gradient, following Open Corridor > Open Room > Closed Room across the monitoring period. Under comparable sensor operating conditions, the lower gas resistance observed in the more enclosed environment is consistent with stronger interaction of the MOX sensing layer with reducing gases and VOC-related mixtures under restricted dispersion. This response is interpreted conservatively because the BME680 gas element is non-selective, cross-sensitive to multiple compounds and environmentally dependent; therefore, gas resistance is treated as a semi-quantitative indicator of relative VOC-related gaseous variability rather than as a direct concentration of individual VOCs or total VOCs. Integration of BME680 sensing with ESP32 processing, Wi-Fi communication and cloud visualization enabled spatiotemporal IEQ surveillance and evidence-informed ventilation awareness. The study demonstrates how low-cost multi-parameter IoT sensing can support sustainable-campus environmental management and aligns with SDGs 3, 4, 9, 11, 12 and 13 through healthier learning environments, sustainability education, digital infrastructure, responsible building operation and climate-responsive institutional practice.

KEYWORDS

BME680; Internet of Things; indoor environmental quality; gas resistance; volatile organic compounds; temperature; relative humidity; ESP32; Environmental Intelligence; sustainable campus

Cite This Article

SARA DURGA BHAVANI, Satyanarayana Maheshwaram, Ali Ahmed Siddiq, Ansh Tyagi, A. Dhatri Sai Ram, Mekala Himabindu, Satyanarayana Maheshwaram, "Influence of Ventilation and Enclosure on Multi-Parameter Indoor Environmental Conditions: A BME680-Based IoT Study at Government Degree College, Rajendranagar," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-31, Sep 2026. https://doi.org/10.55041/IJSREM67183

Full Article/Conclusion

This study demonstrates that ventilation, enclosure and temporal variation produced distinct BME680 environmental-response patterns at Government Degree College, Rajendranagar. Temperature was influenced mainly by seasonal and diurnal changes, whereas relative humidity and atmospheric pressure showed comparatively limited spatial differentiation. The most consistent location-dependent response was observed for BME680 gas resistance, which followed the order Open Corridor > Open Room > Closed Room. The lower resistance in the more enclosed environment is consistent with a stronger MOX response to reducing gases and VOC-related mixtures under restricted air exchange. Because the BME680 gas element is non-selective and affected by environmental and sensor-operating conditions, gas resistance should be interpreted as a semi-quantitative indicator of relative VOC-related variability rather than as a direct VOC or TVOC concentration. Integration of BME680 sensing with ESP32, Wi-Fi and cloud visualization provides a practical low-cost framework for spatiotemporal indoor environmental surveillance and ventilation awareness. The approach supports sustainable-campus management and provides enabling alignment with SDGs 3, 4, 9, 11, 12 and 13. Future studies should incorporate reference VOC measurements, occupancy information, air-exchange measurements and longer-term monitoring to strengthen quantitative interpretation.  

References

[1] Figueroa-Lopez A, Oregi X, Almeida M, Hernández-Minguillón RJ. Evaluation of hygrothermal comfort in educational centres by monitoring three case studies with different ventilation systems in Vitoria, Spain. Journal of Building Engineering. 2023;65:105591. doi:10.1016/j.jobe.2022.105591. [2] Al-Akhzami F, Al-Khatri H, Al-Saadi S, Khan H, Etri T. A comprehensive objective and subjective assessment survey of indoor environmental quality in higher education classrooms in a hot arid climate. Building and Environment. 2024;263:111870. doi:10.1016/j.buildenv.2024.111870. [3] Babich F, et al. Comparison of indoor air quality and thermal comfort standards and variations in exceedance for school buildings. Journal of Building Engineering. 2023;71:106405. [4] Miao S, et al. Data-driven model for predicting indoor air quality and thermal comfort levels in naturally ventilated educational buildings using easily accessible data for schools. Journal of Building Engineering. 2023;80:108001. [5] Al-Akhzami F, et al. Assessing the post-COVID interaction between indoor environmental quality and occupants within educational buildings: A structural equation modeling approach. Building and Environment. 2024;255:111422. doi:10.1016/j.buildenv.2024.111422. [6] Curto A, Donaire-Gonzalez D, Barrera-Gómez J, et al. Development of an Internet of Things solution to monitor and analyse indoor air quality. Internet of Things. 2021;14:100392. doi:10.1016/j.iot.2021.100392. [7] Shih LM, Tsai HL, Tsai CY. Design and Evaluation of Wireless DYU Air Box for Environment-Monitoring IoT System on Da-Yeh University Campus. Applied Sciences. 2024;14(5):2201. doi:10.3390/app14052201. [8] Bosch Sensortec. BME680: Low power gas, pressure, temperature and humidity sensor. Datasheet BST-BME680-DS001, revision 1.9. Bosch Sensortec GmbH; 2024. [9] Fu N, Wei P, Jia Y, Zheng X, Guan Q. Indoor volatile organic compounds in densely occupied education buildings of four universities: Target list, concentration levels and correlation analysis. Building and Environment. 2021;191:107599. doi:10.1016/j.buildenv.2021.107599. [10] Fu N, et al. Indoor volatile organic compounds in existing densely occupied education buildings of four universities: Source apportionment. Building and Environment. 2023;227:109808. doi:10.1016/j.buildenv.2022.109808.

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Publication Date

9/10/2026

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Review Rounds: 2

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