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Chamber Studies for Indoor Air Quality Modeling and Monitoring

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Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 60))

Abstract

Evaluating the status of indoor air quality using scientific techniques has become a necessity at both urban and rural habitats. The process generally involves monitoring of pollutants, investigation of its dispersion characteristics, formation and destruction of pollutants, and rate of addition and removal from the sources and sinks, respectively. In order to assess the above, the usage of sophisticated instruments or low-cost sensors has become a prerequisite. However, their unavailability and affordability have a significant effect on the indoor air quality studies at various scales. To an extent, these studies can be performed using the computational fluid dynamics (CFD) models which can simulate the pollutant dispersion characteristics based on predefined numerical solvers. Moreover, information about the fate and transport of the pollutant in the real time at the full-scale level remains unexplained. Chamber studies enable us to supplement the monitoring studies conducted at full-scale levels along with the monitoring studies and CFD simulations. The current paper discusses the various types of indoor air quality chambers and their applications in the investigation of different air quality parameters. The paper also presents the case studies in development of ECO-SEE wall panels and the ability of the construction materials to absorb pollutants.

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Acknowledgements

The results presented in this paper are part of the ECO-SEE project which has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 609234 (www.eco-see.com).

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Correspondence to Sumanth Chinthala .

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Chinthala, S., Gulia, S., Khare, M. (2020). Chamber Studies for Indoor Air Quality Modeling and Monitoring. In: Sharma, A., Goyal, R., Mittal, R. (eds) Indoor Environmental Quality. Lecture Notes in Civil Engineering, vol 60. Springer, Singapore. https://doi.org/10.1007/978-981-15-1334-3_6

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  • DOI: https://doi.org/10.1007/978-981-15-1334-3_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1333-6

  • Online ISBN: 978-981-15-1334-3

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