用混合进化算法对日照性能和太阳辐射的多目标优化,用于使用混合进化算法构建结构
Shaoyang Lou1, Xiaojun Luo2, Zhonggou Chen1
1Department of Landscape and Architecture, Zhejiang Agriculture and Forestry University, Hangzhou, 311300, China.
Scientific reports
|July 22, 2025
概括
建筑几何优化平衡太阳辐射和日照,以提高建筑的能源效率和舒适性. 这项研究通过先进的算法实现了26.89%的太阳能性能和19.85%的日光增强.
科学领域:
- 建筑科学 建筑科学
- 可持续的建筑 可持续的建筑
- 计算设计的计算设计.
背景情况:
- 优化太阳辐射和白天照明对于建筑的能源效率和乘客舒适度至关重要.
- 建筑几何学显著影响这些环境因素.
- 平衡季节性太阳能增益和白天光线的可用性是一个复杂的设计挑战.
研究的目的:
- 为了优化建筑物几何结构,以平衡太阳辐射和日光性能.
- 为了最大限度地减少不同季节的太阳辐射变化,同时最大限度地提高有用的日光照明量 (UDI).
- 在建筑设计过程的早期整合基于性能的设计策略.
主要方法:
- 使用添加式和减法式设计算法进行参数建模 (EvoMass on Grasshopper).
- 应用一个多目标进化算法 (稳态岛屿进化算法 - SSIEA).
- 优化建筑参数,包括尺寸,方向和质量分布.
主要成果:
- 优化的设计实现了更平衡的太阳辐射分布跨季节.
- 与参考建筑相比,太阳辐射性能得到了26.89%的改善.
- 白天照明的性能提高了19.85%.
结论:
- 在早期设计阶段利用帕雷托正面提供了有效的几何优化策略.
- 基于性能的设计决策可以通过计算工具实现.
- 优化建筑几何学导致建筑能效和日光显著提高.
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