Advanced thermal prediction for green roofs: CNN-LSTM model with SSA optimization

Wang, Jun; Xu, Ding; Yang, Wansheng; Lai, Ling; Li, Feng

doi:10.1016/j.enbuild.2024.114745

Energy and Buildings

2024

DOI: 10.1016/j.enbuild.2024.114745

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Advanced thermal prediction for green roofs: CNN-LSTM model with SSA optimization

Jun Wang,

Ding Xu,

Wansheng Yang

et al.

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Mitigating Urban Heat Islands Using Green Roof Technology

Lukinov,

Kumar,

Venkateswara Reddy

et al. 2024

E3S Web Conf.

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Urban Heat Islands (UHIs) are a growing concern in metropolitan areas due to the concentration of infrastructure, reduced vegetation, and increased human activities. The UHI effect results in higher temperatures in urban areas compared to rural surroundings, contributing to adverse environmental and health impacts. One of the promising mitigation strategies is the implementation of green roof technology. This paper investigates the potential of green roofs in reducing UHI effects by analyzing their thermal performance, vegetation characteristics, and energy savings. An experimental study was conducted on two types of green roofs: extensive and intensive, across three cities with varied climatic conditions. Results showed that green roofs could reduce the surface temperature by up to 5°C, resulting in significant reductions in building cooling demands. The study concludes that green roofs, particularly extensive systems, offer a viable solution for UHI mitigation while providing additional ecological and economic benefits.

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Mitigating Urban Heat Islands Using Green Roof Technology

Lukinov,

Kumar,

Venkateswara Reddy

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

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Advanced thermal prediction for green roofs: CNN-LSTM model with SSA optimization

Cited by 1 publication

References 38 publications

Mitigating Urban Heat Islands Using Green Roof Technology

Mitigating Urban Heat Islands Using Green Roof Technology

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