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

建筑消耗了加拿大大量的能源资源和超过一半的电力生产。它们具有根据其能源负荷发展能源灵活性的巨大潜力，从而促进分布式能源(DER)的整合，如建筑集成太阳能系统。魁北克水电、Canmet Energy、雷古尔瓦和康科迪亚大学联手提出了一个研究计划，该计划建立在第一届主席任期的基础上，有可能给加拿大带来重大好处。在候选人最近在能源效率、智能建筑运营战略和太阳能建筑领域努力的基础上，将开发新知识和创新解决方案，以大幅加强建筑与未来智能电网的整合。拟议的研究围绕三个轴线组织：1)模型预测控制和优化的响应建筑运营；2)增强分布式可再生能源和智能电网互动的整合的灵活性；3)在现有建筑的改造措施(包括控制策略)中整合轴线1和2的工作的应用案例研究。预测控制方法和最优运行策略将在Axis 1下开发，以优化与智能电网的互动，包括调峰、停电后冷负荷提取、需求响应实施和DER整合。将在Axis 2下开发通过整合分布式能源和预测控制(从Axis 1开始)来提高建筑物的热能和电力灵活性以及对电网的响应能力的设计方法和战略。将对不同类型的储能和暖通空调系统的建筑物灵活性进行表征，以便适当地整合分布式能源发电，例如建筑集成光伏发电，并减少它们的变化对电网的不利影响。中轴线3-案例研究将主要侧重于将在中轴线1和2下开发的战略、技术和系统应用于现有的商业和机构建筑，以优化电力需求概况并降低运营成本；案例研究将作为可推广的例子。

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.