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An IoT-Based Framework of Indoor Air Quality Monitoring for Climate Adaptive Building Shells

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Integrating IoT and AI for Indoor Air Quality Assessment

Part of the book series: Internet of Things ((ITTCC))

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Abstract

In recent decades, the building and scientific research industries have experimented with adaptable facades to meet European energy efficiency standards. Climate adaptive building shells (CABSs) are one of the potential approaches for reaching the sustainability objective in the building industry. However, CABS components frequently fail to satisfy occupant demands, resulting in significant levels of occupant discontent. As a result, when evaluating the facade adaptation for indoor environment quality (IEQ) and occupant satisfaction, comprehensive real-time data collection is critical. Indoor air quality (IAQ) is essential for occupant comfort; however, few studies have focused on this topic. Wireless sensor networks (WSNs) comprised of sensors and actuators, often known as the Internet of Things (IoT), have been incorporated into building systems in recent years. To date, most IoT solutions have been created to adapt to environmental conditions, with lighting and thermal being the primary actuator targets. This research intends to provide a thorough assessment of current IoT advancements for IAQ control to improve occupant satisfaction by stressing the relevance of IAQ domains. In this way, this qualitative research offers an in-depth literature assessment, highlighting the need for more research in this area to improve occupant satisfaction in CABS-designed buildings. Finally, the study proposes an initial framework of indoor air quality monitoring (IAQM) for CABS based on IoT principles. With the integration of this model into the design process of CABS, IAQ can become one of the facade adaptation parameters, improving occupants’ comfort and satisfaction.

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Abbreviations

BMS:

Building management system

CABS:

Climate adaptive building shell

IAQ:

Indoor air quality

IAQM:

Indoor air quality monitoring

IEQ:

Indoor environment quality

IoT:

Internet of things

ppb:

Parts per billion

ppm:

Parts per million

TOSV:

Typical operating supply voltage

WHO:

World Health Organization

WSN:

Wireless sensor network

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Authors and Affiliations

  1. Eastern Mediterranean University, Faculty of Architecture, Department of Architecture, Gazimağusa, Northern Cyprus

    Nazgol Hafizi & Sadiye Mujdem Vural

Authors
  1. Nazgol Hafizi
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  2. Sadiye Mujdem Vural
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Correspondence to Nazgol Hafizi .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technical Teacher’s Training and Research, Chandigarh, India

    Jagriti Saini

  2. Department of Information Management and Emerging Engineering, National Institute of Technical Teacher’s Training and Research, Chandigarh, India

    Maitreyee Dutta

  3. Polytechnic of Coimbra, Rua General Santos Costa, Oliveira do Hospital, Portugal

    Gonçalo Marques

  4. Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia

    Malka N. Halgamuge

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Hafizi, N., Vural, S.M. (2022). An IoT-Based Framework of Indoor Air Quality Monitoring for Climate Adaptive Building Shells. In: Saini, J., Dutta, M., Marques, G., Halgamuge, M.N. (eds) Integrating IoT and AI for Indoor Air Quality Assessment. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-96486-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-96486-3_7

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