改变热量使用模式对日本智能社区住宅能源效率的影响
Le Na Tran1, Qian Wu2, Huong Thanh Hoang3
1School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou, 310023, China. lenatran.arc@gmail.com.
Scientific reports
|July 2, 2025
概括
可持续的智能社区需要高效的能源使用. 这项研究整合了居住者行为和建筑模型,以减少家庭能源消耗,减少38%的供暖能源使用和14%的家庭总能源使用.
科学领域:
- 可持续的建筑设计设计
- 智能社区发展 智能社区发展
- 家庭能源效率的提高
背景情况:
- 住宅能源消耗对全球二氧化碳排放有很大的贡献.
- 智能社区需要先进的可持续家庭能源效率解决方案.
- 现有的能源模型缺乏全面整合乘客行为.
研究的目的:
- 实施综合能源预测模型,纳入与乘客相关的参数.
- 为智能社区提出以人为中心,节能,低碳的建筑解决方案.
- 评估家庭属性和能源管理对能源效率的影响.
主要方法:
- 现场电力监测和行为调查问卷.
- 基于物理的建模,用于使用实时数据构建能源预测.
- 计算节能比率以评估供热使用模式和效率场景.
主要成果:
- 家庭属性和能源管理系统显著提高能源效率.
- 关键影响因素包括家庭收入,财产所有权和居住者的能源消费习惯.
- 优化加热设定点和调度模式可将加热能耗降低高达38%,家庭总能耗降低14%.
结论:
- 在建模中整合物理和社会元素对于整体,以人为中心的智能系统至关重要.
- 将乘客活动与能源消耗模式联系起来,可以优化节约,同时保持舒适.
- 该研究为智能社区的可持续室内环境提供了一个框架.
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