On the simulation of occupant-centric control for building operations
On the simulation of occupant-centric control for building operations
复制标题
以居住者为中心的建筑运营控制模拟
DOI：
10.1080/19401493.2021.2001622
复制
发表时间：
2021
影响因子：
2.5
通讯作者：
H. Gunay
中科院分区：
文献类型：
--
作者：
M. Ouf;J. Park;H. Gunay
在过去的十年里，《建筑性能模拟杂志》出版了两期关于模拟居住者的主要特刊。第一个问题由两部分组成，它引入了随机模拟居住者的存在和行为的概念，以提高模拟精度和建筑设计(Robinson和Haldi，2011；Robinson和Haldi，2012)。第二部分更侧重于乘员行为研究的基本原理，包括从各种数据来源开发乘员行为模型及其在建筑模拟中的集成(O‘Brien等人)。2017年)。这一系列研究的主要成果之一是使用开发的模型来改善建筑物及其控制系统的运行。这导致了以乘员为中心的控制(OCC)的引入，这代表了一种用于室内气候控制的新方法，其中与乘员相关的信息是直接测量或从各种传感器、控制界面或移动和可穿戴设备间接推断出来的(Nayler，Gillott和Lau 2018；Park等人)。2019年)。自本世纪初以来，这一概念已在文献中以各种形式得到证明，并在小规模OCC实验和可行性研究方面开展了开创性工作(Dounis和Caraiscos，2009年；Guillmin和Morel，2002年)。然而，建筑自动化系统(BAS)、技术基础设施以及建筑业普遍不情愿的技术限制阻碍了OCC的大规模采用。另一方面，最近在计算方面的进展以及来自较新建筑系统的数据可用性显著增加，重新引起了人们对OCC的兴趣。例如，研究人员介绍了在OCC开发中利用机器学习算法(如强化学习、神经网络或Logistic回归模型)的方法(Peng，Nagy和Schlüter 2019；Park等人)。2019年)。这导致在国际能源署(IEA)建筑和社区能源方案(EBC)附件79“以居住者为中心的建筑设计和运营”(O‘Brien等人)内专门为OCC研究设立了一个子任务。2020年)；由此确定了对这一特别问题的需求。
Over the past decade, the Journal of Building Performance Simulation published two main Special Issues on modelling occupants. The first was a two-part issue that introduced the concept of modelling occupants’ presence and behaviour stochastically to improve simulation accuracy as well as building design (Robinson and Haldi 2011; Robinson and Haldi 2012). The second focused more on the fundamentals of occupant behaviour research, including the development of occupant behaviour models from various data sources and their integration in building simulations (O’Brien et al. 2017). One of the main outcomes of this line of research was using the developed models to improve the operations of buildings and their control systems. This led to introducing Occupant-Centric Control (OCC), which represents a novel approach for indoor climate control in which occupant-related information is directly measured or indirectly inferred from a variety of sensors, control interfaces, or mobile and wearable devices (Naylor, Gillott, and Lau 2018; Park et al. 2019). This concept has been demonstrated in various forms in the literature since the early 2000s with pioneering work on small-scale OCC experiments and feasibility studies (Dounis and Caraiscos 2009; Guillemin and Morel 2002). However, technical limitations in building automation systems (BAS), technological infrastructure, as well as the general reluctance of the building industry, prevented large-scale adoption of OCC. On the other hand, recent advances in computing along with the significant increase in data availability from newer building systems renewed interest in OCC. For example, researchers introduced methods in which machine learning algorithms such as reinforcement learning, neural networks or logistic regression models were leveraged in OCC development (Peng, Nagy, and Schlüter 2019; Park et al. 2019). This led to dedicating a sub-task to OCC research within the International Energy Agency (IEA), Energy in Buildings and Communities Programme (EBC) Annex 79 on “Occupant-Centric Building Design and Operation” (O’Brien et al. 2020); by which the need for this Special Issue was identified.