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Reveals data-driven strategies for improving indoor air quality in tertiary buildings, indicating actionable insights for infrastructure deployment.
This paper addresses three indoor air quality (IAQ) challenges in large‐scale infrastructures under real operational conditions. First, methodological procedures for CO 2 monitors: selection according to their key features, strategic placement to guarantee data quality, and calibration to ensure long‐term consistency and second, real‐time monitoring through a campus‐scale Internet of Things (IoT) ecosystem, yielding the following contributions. A monitoring map is used to comprehensively classify spaces by fulfilling international recommendations. An IAQ study highlights the combined influence of occupancy, size, and contextual factors. And an analysis of CO 2 performance understands interactions between building operation and human behavior. Finally, for each contribution this paper proposes extrapolatable and replicable strategies to move toward data‐driven decisions for efficient IAQ management in tertiary buildings.
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Martínez et al. (2026) studied this question.
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