Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality

Abstract. With an increasing focus on sustainability, human health, and productivity, there is a growing demand for efficient methods to monitor and manage indoor environmental conditions. However, existing monitoring platforms often face challenges related to high costs and limited scalability. This study presents a practical approach to developing a Digital Twin specifically designed for assessing indoor environmental quality (IEQ). A university campus office space served as the proof of concept, illustrating the implementation of the proposed Digital Twin workflow. The platform demonstrated stability with less than 3% data loss. The IEQ dashboard, along with thermal comfort visualization for various clothing types in the 3D environment, highlights the platform’s effectiveness in monitoring IEQ and its potential to enhance indoor experiences. The proposed Digital Twin framework contributes to the growing body of knowledge by offering a scalable and cost-effective solution for indoor environmental monitoring. This study seeks to advance understanding of indoor environments and support data-driven decision-making to drive improvements.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2025-07-14
DOI
https://doi.org/10.5194/isprs-annals-x-g-2025-1053-2025
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24

Funders

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article

Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality

Zihao Zheng, Juan M. Molina, Borja García de Soto, Samuel A. Prieto et al.
1 citations
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Digital Transformation in Industry
1.24
article

Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality

Zihao Zheng, Juan M. Molina, Borja García de Soto, Samuel A. Prieto, Eyob Mengiste
article en
1 citations

Abstract

Abstract. With an increasing focus on sustainability, human health, and productivity, there is a growing demand for efficient methods to monitor and manage indoor environmental conditions. However, existing monitoring platforms often face challenges related to high costs and limited scalability. This study presents a practical approach to developing a Digital Twin specifically designed for assessing indoor environmental quality (IEQ). A university campus office space served as the proof of concept, illustrating the implementation of the proposed Digital Twin workflow. The platform demonstrated stability with less than 3% data loss. The IEQ dashboard, along with thermal comfort visualization for various clothing types in the 3D environment, highlights the platform’s effectiveness in monitoring IEQ and its potential to enhance indoor experiences. The proposed Digital Twin framework contributes to the growing body of knowledge by offering a scalable and cost-effective solution for indoor environmental monitoring. This study seeks to advance understanding of indoor environments and support data-driven decision-making to drive improvements.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-G-2025
New York University Abu Dhabi (AE)
New York University Abu Dhabi, Tamkeen
Openalex Percentile: Top 17%
Digital Transformation in Industry
1.24
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