Human-Building Interaction Framework for Personalized Thermal Comfort-Driven Systems in Office Buildings
Human-Building Interaction Framework for Personalized Thermal Comfort-Driven Systems in Office Buildings
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DOI：
10.1061/(asce)cp.1943-5487.0000300
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发表时间：
2014-01-01
影响因子：
6.9
通讯作者：
Orosz, Michael
中科院分区：
文献类型：
--
作者：
Jazizadeh, Farrokh;Ghahramani, Ali;Orosz, Michael
商业建筑中的集中控制供暖、通风和空调 (HVAC) 系统由建筑管理系统 (BMS) 根据预定义的操作设置和一组假设进行操作。尽管商业建筑中暖通空调系统的能耗很高，但观察表明，很大一部分居住者对热状况仍然不满意。主要原因之一是暖通空调系统在其操作规则中没有考虑个性化的舒适度偏好。本研究提出了一个框架，将建筑居住者集成到 HVAC 控制回路中，了解他们的舒适度概况，并根据居住者的个性化舒适度概况控制 HVAC 系统。该框架融合了通过参与式传感收集的乘员舒适度感知指数（即，用户提供的舒适度投票并映射到数值）和通过传感器网络收集的环境温度数据，并使用基于模糊规则的描述性和预测模型计算乘员的舒适度概况。使用人类受试者数据和综合生成的数据来评估舒适度分析算法的性能。为了进行驱动，建议使用 BMS 控制器并在办公楼的两个区域进行测试。 BMS 控制器使用比例控制器算法，将室温调节为与同一热区内所有居住者的首选温度等距。框架组件的验证表明，可以准确识别热舒适感觉量表的非线性基础模式。 BMS 控制器实验结果表明，比例控制器算法能够将热区的温度保持在首选温度范围内。
Centrally controlled heating, ventilation, and air conditioning (HVAC) systems in commercial buildings are operated by building management systems (BMS) based on the predefined operational settings and a set of assumptions. Despite the high rate of energy consumption by HVAC systems in commercial buildings, observations showed that a significant portion of the occupants remain dissatisfied with thermal conditions. One of the main reasons is that HVAC systems do not take into account personalized comfort preferences in their operational rules. This study proposes a framework to integrate building occupants in the HVAC control loop, learn their comfort profiles, and control the HVAC system based on occupants' personalized comfort profiles. The framework fuses occupants' comfort perception indices (i.e.,comfort votes provided by users and mapped to a numerical value), collected through participatory sensing, and ambient temperature data, collected through a sensor network, and computes occupants' comfort profiles by using a fuzzy rule-based descriptive and predictive model. The performance of the comfort-profiling algorithm was assessed using human subject data and synthetically generated data. For actuation, a BMS controller was proposed and tested in two zones of an office building. The BMS controller uses a proportional controller algorithm that regulates room temperatures to be equidistant from preferred temperatures of all occupants in the same thermal zone. Validation of the framework components demonstrated that the nonlinear underlying pattern of the thermal comfort sensation scale could accurately be recognized. Results of the BMS controller experiments revealed that the proportional controller algorithm is capable of keeping the thermal zones' temperatures in the ranges of preferred temperatures.