Decision Support Tool for Optimizing the Energy Efficient of Buildings

加拿大建筑业一直在开发智能建筑的自动化技术，在 ** 单个建筑层面，楼宇自动化系统（BAS）是智能建筑的关键技术。这些系统监控和控制建筑系统，产生大量的数据。虽然这些数据嵌入了关于建筑动态的重要信息，但很少进行分析以获得对建筑系统的全面理解。当前的决策支持系统大多基于先验知识，通常由一组庞大的方程和经验关系表示，没有足够的关于实际系统的知识，这些知识可以通过分析操作数据和自学过程在线获得。这项拟议的研究旨在研究如何最好地理解BAS运营数据中嵌入的信息 **，以及如何利用这种理解来优化建筑物的运营。在该项目中，我们将集成一个模型，该模型可以彻底分析来自数据捕获 ** 系统的BAS操作数据，为建筑管理人员提供优化建筑操作的工具。本文的工作将有以下新的贡献：（1）决策支持系统将能够关联不同的动态和静态变量，以提供优化建议。(2)决策支持系统还将能够量化建筑参数之间滞后或延迟的因果关系。(3)允许 ** 为建筑经理模拟预测的性能措施作为干预的结果。在一个坚果 ** 壳，这个研究项目可以增加竞争优势的合作公司在建筑 ** 行业，从而有助于加拿大的经济，同时保护环境。此外，这个项目也将 ** 是一个非常有用的平台，为学生（HQP）提供了实用的职业导向的经验。

The construction industry in Canada has been developing automated technologies for smart buildings.At the**individual building level, Building Automation Systems (BAS) is a key technology for smart buildings. These**systems monitor and control building systems, generating a huge amount of data. Whilst this data embeds**imported and critical information about the building dynamics, little has been analyzed to obtain thorough**understanding on the building systems.Current decision support systems are mostly based on prior-knowledge,**which is normally represented by a huge set of equations and empirical relationships, without sufficient**knowledge about the actual systems that can be obtained online through analyzing the operational data and a**self-learning process. This proposed research is aimed to investigate how to best understand the information**embedded in BAS operational data and how to use this understanding to optimize the operation of the building.**In the project, we will integrate a model that can thoroughly analyze BAS operational data from data capturing**systems to provide building managers with a tool for optimizing building operations. Our work will have the**following novel contributions: (1) the decision support system will be capable of correlating the different**dynamic and static variables to provide suggestion for optimization.(2) the decision support system, also will**be able to quantify the lagged or delayed cause-effect relationships among the building parameters. (3) allows**for building manager to simulate predicted performance measures as the result of interventions.In a nut**shell,This research project can increase the competitive edge of the collaborating company in the construction**industry thereby contributing to Canada's economy while protecting environment.In addition, this project will**also be a very useful platform to provide students(HQP) with hands on marketable career oriented experience.