This study investigated the impact of design parameters on indoor thermal comfort in hotel buildings, using both PMV-PPD and adaptive models. The aim is to provide guidance for improvement in the energy performance and thermal comfort of the accommodation structures, providing analysis extended to the eight Algerian climate zones. The adopted methodology was applied to a reference building hotel in Ghardaïa, Algeria. The energy model was validated through in-situ measurements and then the analysis was extended through EnergyPlus dynamic simulations to assess the influence of 13 design parameters using sensitivity analysis. Results reveal that design temperatures on the hottest days ranged from 34.4°C to 39.3°C, despite external temperatures reaching 45°C. The PMV-PPD model was most affected by space density, ventilation rate, infiltration, ventilation schedules, roof design and azimuth. Conversely, the adaptive model was influenced primarily by ventilation rate, window-to-wall ratio, lighting, space density, ventilation schedules, glazing and azimuth. This study underscores the potential for optimising hotels’ design to enhance thermal comfort and has broader relevance for regions with similar climates to Algeria. The findings offer insights for creating more comfortable indoor environments and fostering sustainable building practices in challenging climates.

Enhancing thermal comfort assessment: A sensitivity study of PMV-PPD and adaptive models in an Algerian reference hotel across different climate zones

Di Turi S.;
2024-01-01

Abstract

This study investigated the impact of design parameters on indoor thermal comfort in hotel buildings, using both PMV-PPD and adaptive models. The aim is to provide guidance for improvement in the energy performance and thermal comfort of the accommodation structures, providing analysis extended to the eight Algerian climate zones. The adopted methodology was applied to a reference building hotel in Ghardaïa, Algeria. The energy model was validated through in-situ measurements and then the analysis was extended through EnergyPlus dynamic simulations to assess the influence of 13 design parameters using sensitivity analysis. Results reveal that design temperatures on the hottest days ranged from 34.4°C to 39.3°C, despite external temperatures reaching 45°C. The PMV-PPD model was most affected by space density, ventilation rate, infiltration, ventilation schedules, roof design and azimuth. Conversely, the adaptive model was influenced primarily by ventilation rate, window-to-wall ratio, lighting, space density, ventilation schedules, glazing and azimuth. This study underscores the potential for optimising hotels’ design to enhance thermal comfort and has broader relevance for regions with similar climates to Algeria. The findings offer insights for creating more comfortable indoor environments and fostering sustainable building practices in challenging climates.
2024
adaptive model
climate zones of Algeria
dynamic simulation
predicted mean vote and predicted percentage dissatisfied model
sensitivity analysis
Thermal comfort
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/81150
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