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关于优化用于节能建筑的热响应动态窗户的全球及区域视角。

Global and regional perspectives on optimizing thermo-responsive dynamic windows for energy-efficient buildings.

作者信息

Gao Yuan, Jonsson Jacob C, Curcija D Charlie, Vidanovic Simon, Hong Tianzhen

机构信息

Building Technology & Urban Systems Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.

出版信息

Nat Commun. 2025 Jan 2;16(1):199. doi: 10.1038/s41467-024-54967-8.

Abstract

Architectural thermo-responsive dynamic windows offer an autonomous solution for solar heat regulation, thereby reducing building energy consumption. Previous work has emphasized the significance of thermo-responsive windows in hot climates due to their role in solar heat control and subsequent energy conservation; conversely, our study provides a different perspective. Through a global-scale analysis, we explore over 100 material samples and execute more than 2.8 million simulations across over two thousand global locations. World heatmap results, derived from well-trained artificial neural network models, reveal that thermo-responsive windows are especially useful in climates where buildings demand both heating and cooling energy, whereas thermo-responsive windows with optimal transition temperatures show no dynamic features in most of low-latitude tropical regions. Additionally, this study provides a practical guideline and an open-source mapping tool to optimize the intrinsic properties of thermo-responsive materials and evaluate their energy performance for sustainable buildings at various geographical scales.

摘要

建筑热响应动态窗户为太阳能热量调节提供了一种自主解决方案,从而降低建筑能耗。以往的研究强调了热响应窗户在炎热气候中的重要性,因为它们在太阳能热量控制和随后的节能方面发挥着作用;相反,我们的研究提供了一个不同的视角。通过全球尺度分析,我们探索了100多个材料样本,并在全球两千多个地点进行了超过280万次模拟。由训练有素的人工神经网络模型得出的全球热图结果表明,热响应窗户在建筑物同时需要供热和制冷能源的气候中特别有用,而具有最佳转变温度的热响应窗户在大多数低纬度热带地区没有动态特性。此外,本研究提供了一个实用指南和一个开源映射工具,以优化热响应材料的固有特性,并在不同地理尺度上评估它们在可持续建筑中的能源性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0658/11695856/eb09eaa4c014/41467_2024_54967_Fig1_HTML.jpg

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