Distributed real-time optimization for energy efficiency in uncertain large scale building systems

智能建筑是智慧城市可持续发展的一大要素。在未来生活和工作环境的设计中，智能建筑系统的最佳功能和效率是首要关注的问题。尤其是能源效率，是建筑基础设施可持续设计和运营的许多最新发展背后的推动力。虽然替代能源和混合能源平台的发展可以促进能源的整体可持续性，但建筑系统的能源利用模式需要非常密切地关注。建筑运营商和开发商在建筑能源系统的智能自动化和监控战略的设计方面发现了巨大的机遇。新一代先进的自动化协议开始进入市场，提供智能建筑能效改进和增强的操作灵活性。在这个项目中，我们开发新技术来最大限度地减少建筑系统的能耗。这项拟议的技术将与行业领先者江森自控(JCI)合作开发，通过提供简单的分布式优化算法，允许仅使用简单的控制算法来降低建筑广泛的能耗，从而有可能给建筑能源管理系统带来革命性的变化。这些算法是无模型的，只需要最小的计算能力。它们易于实现，并为商业应用提供了强大的平台。该项目将与少年团的专家密切合作，旨在为拟议的技术及其在操作楼宇控制系统中的实施制定概念验证。该项目将为培养四名研究生和一名博士后提供独特的环境。这些学生将与行业领导者密切合作，并获得加拿大公司和制造商高度欢迎的控制系统设计和优化方面的技能。

Smart buildings are a major element of sustainable development in smart cities. Optimal functionality and efficiency of smart building systems are of primary concern in the design of future living and working environments. Energy efficiency, in particular, is the driving force behind many recent developments in the sustainable design and operation of building infrastructures. While the development of alternative energy and hybrid energy platforms can contribute to the overall sustainability of energy sources, the energy utilization patterns of building systems require very close attention. Building operators and developers have identified tremendous opportunities in the design of smart automation and monitoring strategies for building energy systems. A new generation of advanced automation protocols are beginning to enter the market which offer smart building energy efficiency improvements with enhanced operating flexibility.In this project, we develop new technology to minimize energy consumption in building systems. The proposed technology, to be developed in collaboration of an industry leader, Johnson Controls (JCI), has the potential to revolutionize building energy management systems by providing simple distributed optimization algorithms that allow building wide energy consumption reduction using only simple control algorithms. The algorithms are model free and require minimal computing capabilities. They are easy to implement and provide a strong platform for commercial applications. Working closely with the experts at JCI, the project will be aimed at the development of a proof of concept for the proposed technology and its implementation in operating building control systems. The project will provide a unique environment for the training of four graduate students and a post-doctoral fellow. The students will work closely with industry leaders and acquire skills in control systems design and optimization that are highly sought by Canadian companies and manufacturers.