通过开发的农田肥沃算法来优化办公楼外的设计,以节省能源
Chunyuan Yang1, Siyao Yu2, Yi Cao3
1College of Culture and Tourism, Qujing Normal University, Qujing 655011, Yunnan, China.
Heliyon
|January 9, 2024
概括
新开发的农田肥沃度优化算法 (DFFA) 显著降低了建筑能源消耗和成本. 这种可持续设计方法表现优于其他方法,成本降低了39%.
科学领域:
- 可持续的建筑 可持续的建筑
- 计算优化计算优化
- 建筑性能分析 建筑性能分析
背景情况:
- 传统的建筑能源模拟软件 (例如TRNSYS,EnergyPlus) 是耗时的.
- 优化建筑外参数对于降低能源需求和建筑成本至关重要.
- 超启发式算法为高效的设计优化提供了潜在的潜力.
研究的目的:
- 引入一种新的元启发式算法,即开发的农田肥沃度优化算法 (DFFA),用于可持续的建筑设计.
- 优化建筑外参数 (墙壁,窗户,玻璃幕墙) 以尽量减少能源消耗和成本.
- 将DFFA与其他优化算法 (EPO,LOA,MVO,FFA) 的有效性进行比较.
主要方法:
- 开发和应用开发的优化算法农田生育率 (DFFA).
- 优化建筑外组件,包括墙壁,窗户和玻璃幕墙.
- 基于能源消耗和成本指标的DFFA与现有算法 (EPO,LOA,MVO,FFA) 的比较分析.
主要成果:
- DFFA算法实现了能源消耗和建筑设计成本的显著降低.
- 与其他方法相比,DFFA需要更少的代来达到最佳解决方案.
- 增加了玻璃幕墙和窗户表面积,改善了自然通风和照明.
- 与比较算法相比,DFFA表现出优异的成本节约 (39%的降低) 和能源效率.
结论:
- 开发的农田肥沃度优化算法 (DFFA) 是优化可持续建筑设计的高效工具.
- 与现有的方法相比,DFFA提供了一种更有效和更具成本效益的方法来降低建筑能耗.
- 该算法的成功表明,在未来的研究和实践中,它可以应用于各种建筑类型和气候条件.
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