open access publication

Article, 2024

Generic geometrical parametric study of wind-driven natural ventilation to improve indoor air quality and air exchange in offices

Journal of Building Engineering, ISSN 2352-7102, Volume 84, Page 108528, 10.1016/j.jobe.2024.108528

Contributors

Fallahpour, Marzieh 0000-0001-7567-9466 [1] Naeini, Hoorieh Ghorbani [2] Mirzaei, Parham A 0000-0002-3665-0043 (Corresponding author) [3]

Affiliations

  1. [1] Loughborough University
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] University of Tehran
  4. [NORA names: Iran; Asia, Middle East];
  5. [3] Aarhus University
  6. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Indoor air quality significantly enhances employee productivity and well-being in offices. Existing models and guidelines emphasize wind-driven natural ventilation for air exchange and thermal comfort but often overlook detailed airflow patterns. Understanding airflow dynamics is crucial for designing healthy offices, and offering insights into air exchange processes. This information is particularly valuable in mitigating the impact of CO2 and droplet release from multiple occupants, contributing to the creation of healthier office environments. This study, thus, employs a validated CFD model to investigate the impact of geometrical parameters on wind-driven ventilation in offices. With about 150 cases representing alterations in parameters for single-sided (SV) and double-sided (DV) ventilation, a sensitivity analysis identifies key contributors to airflow patterns. Eventually, while five major categories for the airflow patterns can be identified in the DV cases (i.e., (1) without a weak zone (WZ), (2) with a dominant WZ, (3) with a WZ on bottom side, (4) with a WZ on upper side, and (5) with two WZs on upper and bottom sides), a generic airflow pattern can be barely seen in the SV cases. Moreover, in the DV cases, velocity magnitude is crucial for classification of the outputs. The leeward window geometry influences DV natural ventilation more than the windward window. Furthermore, the room dimensions impact ACH more than SF6 concentration and velocity. In the SV cases, location of the infected occupant dominates air changes per hour (ACH), and theta significantly impacts average velocity in contrast to the DV scenarios.

Keywords

AChE, CFD, CFD model, CO2, DV cases, Existing models, SF6, SF6 concentrations, SV, SV cases, air, air changes, air exchange, air exchange process, air quality, airflow, airflow dynamics, airflow patterns, alterations, analysis, average velocity, cases, categories, changes, classification, comfort, concentration, creation, droplet release, droplets, dynamics, employee productivity, employees, environment, exchange, exchange process, geometric parameters, geometrical parametric study, geometry, guidelines, healthy officers, impact, impact of CO2, impact of geometrical parameters, improve indoor air quality, indoor air quality, infected occupants, information, leeward, location, magnitude, model, multiple occupancy, natural ventilation, occupation, office, office environment, output, parameters, parametric study, patterns, process, production, quality, release, room, scenarios, sensitivity, sensitivity analysis, single-sided, study, thermal comfort, theta, velocity, velocity magnitude, ventilation, well-being, window, window geometry, windward, windward window

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