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Ignoring Urban Heat Island (UHI) effects may lead to an underestimation of the building cooling demand. This study investigates the impact of the UHI on the cooling demand in hot-humid cities, employing the Local Climate Zones (LCZs) classification framework combined with the Urban Weather Generator (UWG) model to simulate UHI effects and improve building performance simulations. The primary aim of this research is to quantify the influence of different LCZs within urban environments on variations in the cooling energy demand, particularly during heat waves, and to explore how these effects can be incorporated into building energy models. The findings reveal significant discrepancies in both the average and peak cooling demand when UHI effects are ignored, especially during nighttime. The most intense UHI effect was observed in LCZ 2.1, characterized by compact mid-rise and high-rise buildings, leading to a cooling demand increase of more than 20% compared to suburban data during the heat waves. Additionally, building envelope thermal performance was found to influence cooling demand variability, with improved thermal properties reducing energy consumption and stabilizing demand. This research contributes to the theoretical understanding of how urban microclimates affect building energy consumption by integrating LCZ classification with UHI simulation, offering a more accurate approach for building energy predictions. Practically, it highlights the importance of incorporating LCZs into building energy simulations and provides a framework that can be adapted to cities with different climatic conditions, urban forms, and development patterns. This methodology can be generalized to regions other than hot-humid areas, offering insights for improving energy efficiency, mitigating UHI effects, and guiding urban planning strategies to reduce the building energy demand in diverse environments.
Ignoring Urban Heat Island (UHI) effects may lead to an underestimation of the building cooling demand. This study investigates the impact of the UHI on the cooling demand in hot-humid cities, employing the Local Climate Zones (LCZs) classification framework combined with the Urban Weather Generator (UWG) model to simulate UHI effects and improve building performance simulations. The primary aim of this research is to quantify the influence of different LCZs within urban environments on variations in the cooling energy demand, particularly during heat waves, and to explore how these effects can be incorporated into building energy models. The findings reveal significant discrepancies in both the average and peak cooling demand when UHI effects are ignored, especially during nighttime. The most intense UHI effect was observed in LCZ 2.1, characterized by compact mid-rise and high-rise buildings, leading to a cooling demand increase of more than 20% compared to suburban data during the heat waves. Additionally, building envelope thermal performance was found to influence cooling demand variability, with improved thermal properties reducing energy consumption and stabilizing demand. This research contributes to the theoretical understanding of how urban microclimates affect building energy consumption by integrating LCZ classification with UHI simulation, offering a more accurate approach for building energy predictions. Practically, it highlights the importance of incorporating LCZs into building energy simulations and provides a framework that can be adapted to cities with different climatic conditions, urban forms, and development patterns. This methodology can be generalized to regions other than hot-humid areas, offering insights for improving energy efficiency, mitigating UHI effects, and guiding urban planning strategies to reduce the building energy demand in diverse environments.
(1) Background: Urban villages in Guangzhou are high-density communities with challenging outdoor thermal environments, which significantly impact residents’ thermal comfort. Addressing these issues is crucial for improving the quality of life and mitigating heat stress in such environments. (2) Methods: This study utilized a validated ENVI-met microclimate model to explore the synergistic cooling effects of roof greening and facade greening. Three greening types—total greening, facade greening, and roof greening—were analyzed for their impacts on air temperature, mean radiant temperature, and physiologically equivalent temperature (PET) at a pedestrian height of 1.5 m under varying green coverage scenarios. (3) Results: The findings showed that total greening exhibited the greatest cooling potential, especially under high coverage (≥50%), reducing PET by approximately 2.5 °C, from 53.5 °C to 51.0 °C, during midday, and shifting the heat stress level from “extreme heat stress” to “strong heat stress”. Facade greening reduced PET by about 1.5 °C, while roof greening had a limited effect, reducing PET by 1.0 °C. Furthermore, under coverage exceeding 75%, total greening achieved maximum reductions of 3.0 °C in mean radiant temperature and 1.2 °C in air temperature. (4) Conclusions: This study provides scientific evidence supporting total greening as the most effective strategy for mitigating heat stress and improving thermal comfort in high-density urban villages, offering practical insights for optimizing green infrastructure.
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