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| 基于光热耦合的气候适应性仿生建筑表皮性能优化设计研究 |
| Optimization Design of Climate-Adaptive Biomimetic Building Skins Based on Optic-Thermal Coupling |
| 投稿时间：2024-05-29 修订日期：2024-07-22 |
| DOI：10.12285/jzs.20240529004 |
| 中文关键词: 气候适应性 仿生建筑表皮 光热耦合 多目标优化 |
| 英文关键词: climate-adaptive biomimetic building skins optic-thermal coupling multi-objective optimization |
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| 中文摘要: |
| 普通建筑表皮的构造设计和环境响应行为较单一,往往存在室内光热环境不舒适或能源消耗多等问题。气候适应性仿生建筑表皮作为一种仿生、动态、可变的智能建筑表皮系统,可通过学习模仿生物的适应性行为来进行形态、运动模式和性能上的优化设计。本文提出了一种气候适应性仿生建筑表皮性能优化设计流程,通过参数化模型构建、性能评价模拟与实测和多目标优化分析三个步骤,设计了一种以含羞草为原型的建筑表皮,并对其在三个典型气候条件下的光热环境性能进行了分析对比,实现了空间有效采光阈均提升50%以上,春分日眩光完全消除,冬至日节能16.67%。本研究以数字技术促进建筑节能,提升环境品质,推动实现“双碳”目标。 |
| 英文摘要: |
| The construction design and environmental response behaviors of conventional building skins are relatively simplistic and lack diversity. The Conventional building skin often suffers from issues such as discomfort in indoor optic-thermal environments or high energy consumption. Climate-adaptive biomimetic building skins represent a class of intelligent building envelope systems that are bionic, dynamically responsive, and capable of variable adjustment. It optimizes the design of the skin in terms of morphology, movement patterns, and performance by learning and imitating the adaptive behaviors of living organisms. This paper presents a performance optimization design process for climate-adaptive biomimetic building skins. It is divided into three steps: parametric model construction, performance evaluation simulation and measurement, and multi-objective optimization analysis. This paper designs a building skin prototyped after the sensitive plant (Mimosa pudica). The analysis and comparison of its optic-thermal performance under three typical climatic conditions were conducted. Spatial useful daylight illuminance has been improved by more than 50%, glare on the Vernal Equinox has been completely eliminated, and energy savings of 16.67% have been achieved on the Winter Solstice. This study leverages digital technology to promote energy conservation in buildings, enhance environmental quality, and contribute to the achievement of dual carbon targets. |
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