Novel Renewable Energy based Integrated Energy Systems Towards Net-zero Energy Buildings and Communities

基于新型可再生能源的综合能源系统，实现净零能耗建筑和社区

• 批准号: RGPIN-2019-06853
• 负责人: Fung, Alan
• 金额: $ 2.84万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739144
• 关键词: Novel; Renewable; Energy; based; Integrated

The objective is to develop novel renewable energy based integrated energy systems suitable for grid-friendly net-zero energy building and community applications through mathematical modelling, simulation, analysis, optimization, and development of individual components as well as their integrated systems with experimental validation from the available testing facilities and case studies. It will focus on new and innovative renewable energy technologies, such as hybrid solar photovoltaic/thermal (PV/T) collectors, solar assisted heat multi-functional refrigerant switching (MFRS) heat pumps, diurnal building integrated thermal energy storage (BITES) and seasonal borehole thermal energy storage (BTES), and hybrid combinations of different systems, as well as their overall optimal design parameters and control strategies considering the building/community and their HVAC/energy system dynamics with short term weather forecast for maximum utilization of on-site renewable energy potentials while maintaining thermal comfort. Proper configuration, integration, and control of hybrid energy systems is one of the key drivers in advancing next level of energy efficiency in buildings and communities. To achieve the objective the proposed research can be loosely divided into four major subprojects with each concentrating on different but complementary aspects of the complete system. They are 1) Development of Roof and Facades based Integrated BIPV/T+ASHP +BITES Energy System, 2) Development of Cloud-Based Smart Dual Fuel Switching System (SDFSS), 3) Operational Optimization Modeling and Analysis of Smart Net-Zero Energy Solar Community, and 4) Development of Simplified Component-Based Solar Community Energy and Storage System with BTES. It is expected that smart communication and control technologies employing Internet of Things (IoT) based sensors with artificial intelligence (AI)/big data analytics will be integrated into buildings and communities and their related energy generation systems and consumption equipment so that agent based distributed and supervisory control schemes can be implemented. The results will provide realistic and accurate modeling tools for designing, assessing, and component sizing of building integrated renewable energy systems as well as community-based energy systems and their optimal control strategies. Such integrated analytical tools are currently lacking and their availability will likely promote faster adoption of these environmental-friendly, clean energy systems in buildings and communities towards the low carbon economy, which in turn will contribute positively to Canada's commitment to the environment while increasing our economic competitiveness.

其目标是通过数学建模，模拟，分析，优化和开发单个组件及其集成系统，并通过可用的测试设施和案例研究进行实验验证，开发适合电网友好型净零能源建筑和社区应用的新型可再生能源综合能源系统。它将侧重于新的和创新的可再生能源技术，如混合太阳能光伏/热（PV/T）收集器，太阳能辅助加热多功能制冷剂切换（MFRS）热泵，昼夜建筑综合热能储存（BITES）和季节性钻孔热能储存（BTES），以及不同系统的混合组合，以及考虑建筑物/社区及其HVAC/能源系统动态与短期天气预报的整体优化设计参数和控制策略，以最大限度地利用现场可再生能源潜力，同时保持热舒适性。混合能源系统的正确配置、集成和控制是推动建筑物和社区能源效率达到新水平的关键驱动力之一。为了实现这一目标，拟议的研究可大致分为四个主要的子项目，每个子项目侧重于整个系统的不同但互补的方面。他们是1）基于屋顶和立面的集成BIPV/T+ASHP +BITES能源系统的开发，2）基于云的智能双燃料切换系统（SDFSS）的开发，3）智能网络零能耗太阳能社区的运行优化建模和分析，以及4）基于简化的太阳能社区能源和存储系统的开发。预计采用基于物联网（IoT）的传感器与人工智能（AI）/大数据分析的智能通信和控制技术将被集成到建筑物和社区及其相关的能源生产系统和消费设备中，以便实现基于代理的分布式和监督控制方案。研究结果将为建筑综合可再生能源系统以及基于社区的能源系统及其最优控制策略的设计、评估和组件尺寸确定提供现实而准确的建模工具。目前缺乏这种综合分析工具，这些工具的可用性可能会促进在建筑物和社区中更快地采用这些环境友好型清洁能源系统，以实现低碳经济，这反过来又将积极促进加拿大对环境的承诺，同时提高我们的经济竞争力。