Personalized Thermal Comfort Driven Control in HVAC Operated Office Buildings

Personalized Thermal Comfort Driven Control in HVAC Operated Office Buildings
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HVAC 运行的办公楼中的个性化热舒适驱动控制

DOI:
10.1061/9780784413029.028
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发表时间:
2013
期刊:
影响因子:
9
通讯作者:
M. Orosz
M. Orosz
中科院分区:
工程技术1区
文献类型:
--
作者:
F. Jazizadeh;A. Ghahramani;B. Becerik;T. Kichkaylo;M. Orosz

文献摘要

被引文献

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乘员舒适度是影响HVAC运行性能的主要因素。大多数HVAC系统操作依赖于行业标准,以确保在入住期间令人满意的环境条件。尽管建筑物的能源消耗率不断增加,但居住者通常对商业建筑的室内条件并不满意。为了解决这个问题,在本文中,个性化的舒适性偏好集成到HVAC控制逻辑的框架。作为框架的一部分,用户代理,舒适配置文件学习算法,和建筑管理系统(BMS)控制器。在真实的建筑设置的框架的性能进行了评估。该框架在小规模实验中取得了成功,通过提高用户舒适度和略微降低集体能耗来提高效率。
Occupant comfort is a dominant influence on the performance of HVAC operations. Most HVAC system operations rely on industry standards to ensure satisfactory environmental conditions during occupancy. Despite the increasing building energy consumption rates, occupants are not usually satisfied with indoor conditions in commercial buildings. To address this issue, in this paper, a framework for integrating personalized comfort preferences into HVAC control logic is introduced. As part of the framework, a user proxy, a comfort profile learning algorithm, and a building management system (BMS) controller are presented. The performance of the framework in a real building setting has been evaluated. The framework was successful in a small-scale experiment in increasing efficiency by improving user comfort and slight decrease in collective energy consumption.