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    Fire Detection in High‑Airflow Data Centers: What Works in Practice

    A real‑world evaluation of multi‑aspirating smoke detection performance under high air‑exchange conditions.

    Modern data centers rely on high airflow to support cooling and operational stability – but that same airflow can dilute smoke and delay fire detection. Choosing the right detection strategy is critical to reducing risk, limiting false alarms and maintaining compliance with applicable standards.

    This whitepaper presents live test results from an operational, high‑density data center, examining how multi‑aspirating smoke detection (MASD) systems perform at air‑exchange rates well above 60 air changes per hour. It compares Class A and Class C sensitivity performance, evaluates dual‑stage detection approaches, and analyzes how airflow, detector placement and smoke volume influence activation times. The findings are based on full‑scale testing and provide practical insights for engineers, consultants and facility owners responsible for fire detection design and operation.

    What can real‑world testing reveal about optimizing smoke detection sensitivity, compliance and system performance in high‑airflow data centers? Download the whitepaper to find out.

    Download The Whitepaper