Solar Heat Gain Simulations for Energy-Efficient Guest Allocation in a Large Hotel Tower in Madrid DOI Creative Commons
Iker Landa del Barrio, M. Iglesias,

Jorge Ávalos González

и другие.

Buildings, Год журнала: 2025, Номер 15(11), С. 1960 - 1960

Опубликована: Июнь 5, 2025

The current climate and energy crises demand innovative approaches to operating buildings more sustainably. HVAC systems, which significantly contribute a building’s consumption, have been major focus of research aimed at improving operational efficiency. However, critical factor often overlooked is the seasonal hourly variation in solar radiation resulting heat gain, heats specific rooms differently depending on their orientation, type, location within building. This study proposes simulation-based strategy reduce use hotels by allocating guests with favorable thermal characteristics season. A high-resolution building model (BEM) was developed represent real 17-floor hotel tower Madrid, incorporating detailed geometry surrounding shading context. includes 439 internal zones simulates using EnergyPlus’ Radiance module. simulation results revealed large room-by-room differences demand. When applying an energetically optimized guest allocation based these simulations occupancy data, potential reductions were estimated reach around 6% during summer up 20% winter. These findings demonstrate that data-driven allocation, informed physics-based simulations, can provide substantial savings without requiring physical renovations or equipment upgrades, offering promising approach for sustainable operation.

Язык: Английский

Solar Heat Gain Simulations for Energy-Efficient Guest Allocation in a Large Hotel Tower in Madrid DOI Creative Commons
Iker Landa del Barrio, M. Iglesias,

Jorge Ávalos González

и другие.

Buildings, Год журнала: 2025, Номер 15(11), С. 1960 - 1960

Опубликована: Июнь 5, 2025

The current climate and energy crises demand innovative approaches to operating buildings more sustainably. HVAC systems, which significantly contribute a building’s consumption, have been major focus of research aimed at improving operational efficiency. However, critical factor often overlooked is the seasonal hourly variation in solar radiation resulting heat gain, heats specific rooms differently depending on their orientation, type, location within building. This study proposes simulation-based strategy reduce use hotels by allocating guests with favorable thermal characteristics season. A high-resolution building model (BEM) was developed represent real 17-floor hotel tower Madrid, incorporating detailed geometry surrounding shading context. includes 439 internal zones simulates using EnergyPlus’ Radiance module. simulation results revealed large room-by-room differences demand. When applying an energetically optimized guest allocation based these simulations occupancy data, potential reductions were estimated reach around 6% during summer up 20% winter. These findings demonstrate that data-driven allocation, informed physics-based simulations, can provide substantial savings without requiring physical renovations or equipment upgrades, offering promising approach for sustainable operation.

Язык: Английский

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