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

不确定大型建筑系统中能源效率的分布式实时优化

• 批准号: 543836-2019
• 负责人: Guay, Martin
• 金额: $ 2.37万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699710
• 关键词: Distributed; real; time; optimization; energy

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.

智能建筑是智慧城市可持续发展的重要组成部分。智能建筑系统的最佳功能和效率是未来生活和工作环境设计的主要关注点。特别是能源效率，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驱动力。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的关注。建筑运营商和开发商已经在建筑能源系统的智能自动化和监控策略设计中发现了巨大的机会。新一代先进的自动化协议开始进入市场，提供智能建筑能源效率的改善，增强操作灵活性。