优化农村建筑设计,使用集成BES ANN和MCDM的智能框架
Zhongcheng Duan1, Renyong Zhang1, Yidi Zhao2
1School of Architecture and Design, China University of Mining and Technology, Xuzhou, 221116, China.
Scientific reports
|August 27, 2025
概括
这项研究为优化农村建筑设计,平衡能源使用,舒适性和成本提供了一个综合框架. 这种优化的模式大大减少了能源消耗和不便,
科学领域:
- 建筑科学
- 可持续的建筑
- 计算设计
背景情况:
- 农村建筑在平衡能源消耗,热舒适度和建筑成本方面面临挑战.
- 现有的优化方法往往与高维设计空间发生冲突,导致缓慢的融合和计算复杂性.
研究的目的:
- 提出和验证农村建筑的新型性能优化框架.
- 整合建筑能源模拟 (BES),人工神经网络 (ANN) 和多标准决策 (MCDM) 以实现多目标优化.
- 提高能效农村结构设计的预测准确性和效率.
主要方法:
- 该框架集成DesignBuilder和JePlus进行批量模拟,使用莫里斯方法进行灵敏度分析.
- 在 MATLAB 中开发了一个人工神经网络 (ANN) 模型用于性能预测.
- 在多标准决策 (MCDM) 组件中使用TOPSIS方法来选择最佳的设计解决方案.
主要成果:
- 优化模型显示总能耗减少了61.64%,不舒服时间减少了32.04%.
- 这项优化实现了73,5196日元的额外建设成本,这表明性能得到了平衡的改善.
- 与传统方法相比,拟议的框架显示出更高的预测准确性和优化效率.
结论:
- 开发的BES-ANN-MCDM框架为优化农村建筑设计提供了一种新且有效的方法.
- 这项研究为以性能为导向,节能农村建筑设计提供了可复制的途径和理论基础.
- 这些发现突显了农村住房能效和热舒适度的大幅提高潜力.
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