在可持续建筑设计中优化空间加热效率,采用多标准决策方法,并采用模型预测控制
Zheng Qi1, Nan Zhou2, Xianwei Feng3
1College for Creative Studies, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, 214163, Jiangsu, China. qixiaozheng@163.com.
Scientific reports
|July 29, 2025
概括
这项研究使用先进的控制来优化近零能源建筑 (nZEB) 的空间加热. 这种新的框架降低了高达17%的供暖成本,同时在寒冷的气候中保持了热舒适度.
科学领域:
- 建筑科学 建筑科学
- 可持续能源系统 可持续能源系统
- 在HVAC中的人工智能
背景情况:
- 高效的空间加热对于可持续建筑至关重要,它会影响能源消耗,成本和居住者的舒适性.
- 近零能源建筑 (nZEBs) 需要优化加热策略,特别是在像挪威奥斯陆这样的寒冷气候中.
- 在nZEB设计中,平衡供暖成本和热舒适度是一个关键挑战.
研究的目的:
- 在奥斯陆的nZEB中研究优化空间加热的先进控制策略.
- 探索一种新的模型预测控制 (MPC) 框架如何有效地平衡供暖成本和热舒适度.
- 评估将预测控制集成到实时建筑管理中的潜力.
主要方法:
- 开发一种新的模型预测控制 (MPC) 框架,集成长期短期记忆 (LSTM) 神经网络进行预测和巢算法 (ANA) 进行优化.
- 利用EnergyPlus模拟和真实天气数据进行动态室内温度和加热需求预测.
- 纳入ASHRAE标准55适应性舒适性约束,并执行帕雷托集分析以获得优化结果.
主要成果:
- 拟议的MPC框架证明了将加热成本 (HC) 和舒适性罚款 (CP) 同时降至最低的能力.
- 与传统方法相比,每天节省高达17%的供暖成本.
- 在整个优化过程中,保持了可比的热舒适度水平.
结论:
- 新的MPC框架为在寒冷的气候条件下优化nZEBs空间加热提供了一个有希望的方法.
- 该框架有可能集成到用于建筑物实时预测控制的自动化系统中.
- 这项研究有助于在可持续建筑设计中提高能源效率和乘客舒适度.
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