In the face of increasing global temperatures, this study aims to explore ventilation strategies that could provide passive cooling to mitigate overheating in studied low-energy school buildings, in particular those that use ventilative cooling. This study utilises building modelling calibrated with field data to tackle the challenge of maintaining indoor thermal comfort and cognitive performance levels during increasingly warm seasons. The calibrated building model is used to evaluate the vulnerability of classrooms, identifying and addressing risks based on standardised overheating and resilience criteria. Two primary school classrooms were simulated in three main cities across Ireland to assess the possibility of natural ventilative cooling for maintaining indoor thermal conditions without sacrificing energy efficiency. The study highlights the critical need to enhance natural ventilation strategies to protect against projected future overheating, with peak indoor temperatures reaching 29 °C to 31 °C during May, June, and September. Implementing a maximum natural ventilation strategy during occupied times, with a 9.6% opening-to-floor area ratio, can reduce peak indoor temperatures by up to 2.5 °C. Findings show Irish classrooms in low-energy buildings equipped with hybrid ventilative cooling can act as potential climate shelters during July and August under extreme weather conditions, underlining their capacity to provide a comfortable environment for vulnerable people during heatwaves and reduce overheating risk by 42–48% compared to natural ventilation. Additionally, projections show that cognitive performance loss in students may rise to 23% by 2071 due to raised indoor temperatures; however, this can be reduced to below 10% in 2021 and 2041 with maximum natural ventilation. The novelty of this work lies in its systematic evaluation of ventilative cooling resilience under future climate scenarios across multiple Irish city contexts, providing a robust evidence base for designing climate-resilient, energy-efficient learning environments.
Tavakoli et al. (Wed,) studied this question.