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Case Study

Application of CFD Ventilation Study to Support Hazardous Area Declassification

Sigma HSE Case Study

Introduction

After a Hazardous Area Classification (HAC) assessment for a process facility handling flammable materials, concerns were raised regarding the extent of classified (hazardous) zones within a specific indoor enclosure. The facility wanted to determine if there was an alternative to enhance the mechanical ventilation to prevent the formation of sustained explosive atmospheres under credible leak scenarios. To provide a scientifically robust justification for declassifying portions of the area, a CFD Ventilation Study was commissioned, using Computational Fluid Dynamics (CFD) to model and validate airflow performance.

Assessment Basis

Traditional HAC approaches rely on empirical formulas and conservative assumptions outlined in standards such as NFPA 497 to delineate hazardous zones based on anticipated release rates and generic ventilation estimates. However, these methods do not always reflect site-specific conditions, especially in complex geometry or non-uniformly ventilated spaces. CFD offers a means to explicitly simulate airflow patterns, quantify dilution rates, and determine the spatial and temporal distribution of flammable gas clouds for intended operating (and worst-case) scenarios.

Industrial facility interior for CFD ventilation study, showing equipment and ducting for airflow analysis

Methodology

  1. Ventilation and Leak Scenario Modelling

    • The geometric model of the enclosure and ventilation system (supply air inlets, exhausts, and relevant equipment) was built in the CFD environment.

    • Credible leak scenarios were identified based on process safety information, including leak rate, position, and gas properties.

  2. CFD Simulation Setup

    • The CFD model discretized the enclosure into fine computational cells.

    • Key boundary conditions included supply and exhaust flow rates, ambient temperature and pressure, and initial background concentrations.

    • Simulations tracked the evolution of flammable gas concentrations from point of release, throughout the enclosure, over time. 

  3. Assessment Criteria

    • The key metric was the volume of gas-air mixture exceeding the Lower Flammable Limit (LFL).

    • A “non-hazardous” classification could be justified where CFD simulation showed the flammable volume remained below 0.1 m³ (which was the agreed assumption, which is in line with industry standards) and did not persist for more than a short duration after a release.

Results

  • The CFD Ventilation Study showed that the designed ventilation configuration provided rapid and uniform dilution of released gas.

  • For the maximum credible leak, flammable concentrations remained below the 0.1 m³ threshold in all parts of the enclosure, and the LFL was not exceeded for sustained periods.

  • The simulations identified a few isolated “dead zones,” which were addressed through minor modifications to airflow design.

Outcome

Based on the CFD study outcomes, the HAC assessment concluded that the area in question could be “unclassified” under normal and foreseeable abnormal conditions, assuming the mechanical ventilation system was correctly maintained and operated. This significantly reduced the need for explosion-protected equipment in the area, resulting in cost savings and simplified ongoing operations.

Discussion and Lessons Learned

  • CFD-Based Studies Add Value: The use of CFD provided a detailed, evidence-based assessment that was more reflective of actual site conditions than generic calculations.

  • Regulatory and Standards Compliance: The methodology aligned with international standards and was accepted by safety and regulatory authorities as part of the facility’s risk management case.

  • Continuous System Integrity: It was recognized that the unclassified status was contingent on the ongoing performance of the ventilation system. Appropriate alarms, monitoring, and maintenance protocols were instituted as part of the risk management envelope.

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