NSERC/Hydro-Québec Industrial Chair in Optimized Operation and Energy Efficiency: Towards High Performance Buildings

建筑物消耗了加拿大的大量能源和一半以上的电力生产。它们具有根据能源负荷开发能源灵活性的巨大潜力，从而促进分布式能源（DER）的整合，例如建筑一体化太阳能系统。魁北克水电公司、Canmet ENERGY、Régulvar 和康科迪亚大学联手提出一项研究计划，该计划以主席第一任期为基础，有可能为加拿大带来重大利益。基于候选人最近在能源效率、智能建筑运营策略和太阳能建筑领域的努力，将开发新知识和创新解决方案，以大幅增强建筑与未来智能电网的集成。拟议的研究围绕三个轴进行：1）模型预测控制和优化响应建筑操作； 2) 建立灵活性，以增强分布式可再生能源和智能电网互动的整合；3) 将轴 1 和轴 2 的工作整合到现有建筑改造措施（包括控制策略）中的应用案例研究。 Axis 1 将开发预测控制方法和最佳运行策略，以优化与智能电网的交互，包括调峰、停电后冷负载启动、需求响应实施和分布式能源集成。将在轴 2 下开发通过集成分布式能源和预测控制（从轴 1）来增强建筑物热电灵活性和对电网响应能力的设计方法和策略。不同类型储能和 HVAC 系统的建筑灵活性将得到表征，以便正确集成分布式能源发电（例如来自建筑一体化光伏发电），并减少其变化对电网的不利影响。轴 3 - 案例研究将主要侧重于将轴 1 和 2 下开发的策略、技术和系统应用于现有商业和机构建筑，以优化电力需求状况并降低运营成本；案例研究将作为可以推广的例子。

Buildings consume a great deal of Canada's energy resources and over half of its electricity production. They have significant potential to develop energy flexibility based on their energy loads, thus facilitating the integration of distributed energy resources (DER) such as building-integrated solar systems. Hydro-Québec, Canmet ENERGY, Régulvar and Concordia University have joined forces to propose a research program that builds on the first term of the Chair and has the potential to result in major benefits to Canada. Building on the candidate's recent efforts in the fields of energy efficiency, smart building operating strategies and solar buildings, new knowledge and innovative solutions will be developed to substantially enhance building integration into the future smart grid. The proposed research is organized around three axes: 1) Model predictive control and optimized responsive building operation; 2) Building flexibility for enhanced integration of distributed renewable energy resources and smart grid interaction and 3) Application case studies that integrate the work of axes 1 and 2 in retrofit measures (including control strategies) for existing buildings. Predictive control methodologies and optimal operating strategies will be developed under Axis 1 to optimizeinteraction with smart grids, including peak shaving, cold load pickup after power outage, demand response implementation and integration of DER. Design methodologies and strategies to enhance thermal and electrical flexibility of buildings and responsiveness to the grid through integration of distributed energy resources and predictive control (from axis 1) will be developed under Axis 2. The building flexibility with different types of energy storage and HVAC systems will be characterized in order to properly integrate distributed energy generation, such as from building-integrated photovoltaics and reduce the adverse impact of their variation on the grid. Axis 3 - case studies will focus primarily on applying the strategies, techniques and systems developedunder axes 1 and 2 to existing commercial and institutional buildings to optimize power demand profile and reduce operating cost; the case studies will serve as examples that can be generalized.