Development and validation of a smart HVAC control system for multi-occupant offices by using occupants' physiological signals from wristband
Development and validation of a smart HVAC control system for multi-occupant offices by using occupants' physiological signals from wristband
复制标题
DOI：
10.1016/j.enbuild.2020.109872
复制
发表时间：
2020-05-01
影响因子：
6.7
通讯作者：
Chen, Qingyan
中科院分区：
文献类型：
--
作者：
Deng, Zhipeng;Chen, Qingyan
由于人们的大部分时间都是在室内度过的，因此为建筑物居住者创造舒适的室内环境是很重要的。然而，不适当的恒温器设置会导致能源浪费和不希望看到的室内环境，特别是在多人居住的房间。本研究旨在利用腕带所测得的生理参数，开发并验证多人办公室暖通空调系统的控制策略。我们使用人工神经网络模型，根据室内环境和生理参数，如空气温度、相对湿度、服装高度、腕部皮肤温度、皮肤相对湿度和心率来预测热感觉。该模型通过对7间多人办公室一年中收集的数据进行训练，能够高精度地预测热感觉。接下来，我们制定了暖通空调系统的控制策略，以提高房间内所有居住者的热舒适性。该控制系统智能，可实时自动调整恒温器设定值。通过实验和数值模拟两种方法对该系统进行了验证。在大多数情况下，我们提高了乘员的热舒适性水平。在使用腕带控制后，超过一半的乘员体验到了中性感觉，只有不到5%的人仍然感到不舒服。使用腕带控制的暖通空调系统的能耗与使用恒定设定值时的能耗几乎相同。在通过照明传感器或腕带蓝牙与基于占用的控制相结合后，室内办公室的热负荷和冷负荷分别减少了90%和30%。因此，智能暖通空调控制系统可以有效地控制室内环境，达到热舒适和节能的目的。(C)2020爱思唯尔B.V.保留所有权利。
Since people spend most of their time indoors, it is important to create comfortable indoor environments for building occupants. However, unsuitable thermostat settings lead to energy waste and an undesirable indoor environment, especially in multi-occupant rooms. This study aimed to develop and validate a control strategy for the HVAC systems in multi-occupant offices using physiological parameters measured by wristbands. We used an ANN model to predict thermal sensation from indoor environmental and physiological parameters such as air temperature, relative humidity, clothing level, wrist skin temperature, skin relative humidity and heart rate. The model was trained by data collected in seven multi-occupant offices in the course of a year, and it was able to predict the thermal sensation with high accuracy. Next, we developed a control strategy for the HVAC system to improve the thermal comfort of all the occupants in the room. The control system was smart and could adjust the thermostat set point automatically in real time. We validated the system by means of both experiments and numerical simulations. In most cases, we improved the occupants' thermal comfort level. After using the wristband control, over half of the occupants experienced a neutral sensation, and fewer than 5% still felt uncomfortable. The energy consumption by the HVAC system with the wristband control was almost the same as when the constant set point was used. After coupling with occupancy-based control by means of lighting sensors or wristband Bluetooth, the heating and cooling loads were reduced by 90% and 30%, respectively, in interior offices. Therefore, the smart HVAC control system can effectively control the indoor environment for thermal comfort and energy saving. (C) 2020 Elsevier B.V. All rights reserved.