BEES: Real-time occupant feedback and environmental learning framework for collaborative thermal management in multi-zone, multi-occupant buildings
BEES: Real-time occupant feedback and environmental learning framework for collaborative thermal management in multi-zone, multi-occupant buildings
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DOI：
10.1016/j.enbuild.2016.04.084
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发表时间：
2016-08-01
影响因子：
6.7
通讯作者：
Wen, John T.
中科院分区：
文献类型：
--
作者：
Gupta, Santosh K.;Atkinson, Sam;Wen, John T.
在这项工作中，我们提出了一个端到端的框架，旨在使居住者的反馈收集和纳入反馈数据对建筑物的节能运行。我们设计了一个移动的应用程序，居住者可以使用他们的智能手机，以提供他们的热偏好反馈。当将居住者反馈中继到中央服务器时，移动的应用还使用室内定位技术来将居住者偏好绑定到他们当前的热区。Texas Instruments传感器标签用于真实的时区温度读数。该移动的应用将居住者偏好沿着位置中继到中央服务器，该中央服务器还托管我们的学习算法以学习环境，并使用居住者反馈来计算最佳温度设定点。整个过程在占用、环境条件和/或占用者偏好改变时触发。学习算法被调度为定期运行，以动态地响应环境和占用变化。我们描述了在两个不同的设置实验研究的结果：一个单一的家庭住宅的家庭设置，并在大学为基础的实验室空间设置。(C)2016爱思唯尔B. V.保留所有权利。
In this work we present an end-to-end framework designed for enabling occupant feedback collection and incorporating the feedback data towards energy efficient operation of a building. We have designed a mobile application that occupants can use on their smart phones to provide their thermal preference feedback. When relaying the occupant feedback to the central server the mobile application also uses indoor location techniques to tie the occupant preference to their current thermal zone. Texas Instruments sensortags are used for real time zonal temperature readings. The mobile application relays the occupant preference along with the location to a central server that also hosts our learning algorithm to learn the environment and using occupant feedback calculates the optimal temperature set point. The entire process is triggered upon change of occupancy, environmental conditions, and/or occupant preference. The learning algorithm is scheduled to run at regular intervals to respond dynamically to environmental and occupancy changes. We describe results from experimental studies in two different settings: a single family residential home setting and in a university based laboratory space setting. (C) 2016 Elsevier B.V. All rights reserved.