使用预测控制模型作为热控制策略,优化房间内的居住者舒适度
Mihaela-Gabriela Boicu1, Grigore Stamatescu2, Ioana Făgărăşan2
1Faculty of Hidrotechnics, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
本研究介绍了一种节能的热控制策略,平衡用户舒适性与减少能源使用. 它结合了模型预测控制 (MPC) 和模糊逻辑,考虑房间占用率以优化建筑性能.
科学领域:
- 建筑科学 建筑科学
- 控制工程 控制工程 控制工程
- 环境心理学 环境心理学
背景情况:
- 实现最佳的热舒适对于居住者福祉和建筑效率至关重要.
- 以用户为中心的建筑控制正在获得引力,强调个性化的环境设置.
- 现有的策略往往难以有效地平衡热舒适与节能.
研究的目的:
- 开发和实施综合热控制战略,以提高用户舒适度和减少能源消耗.
- 调查混合控制系统的应用,包括模型预测控制 (MPC) 和模糊逻辑.
- 为了解决房间占用率对热控制性能的影响.
主要方法:
- 开发一种混合控制策略,结合模型预测控制 (MPC) 和模糊逻辑.
- 将环境参数和个人感知因素集成到控制算法中.
- 在布加勒斯特土木工程技术大学的一个实验室内实施和案例研究.
- 考虑房间占用水平作为一个关键的限制.
主要成果:
- 展示功能性热控制策略,以优化舒适度和节能.
- 在现实实验室环境中验证混合MPC-fuzzy系统的有效性.
- 了解适应性建筑控制的模糊系统的参数化.
结论:
- 拟议的混合控制策略有效地平衡了热舒适度和能源减少目标.
- 考虑到占用率,MPC和模糊逻辑的整合为以用户为中心的建筑管理提供了一个有前途的方法.
- 对模糊系统参数化的进一步研究可以提高智能建筑控制的适应性和性能.
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