Coupling Phase Change Materials and Model Predictive Controls for Energy Efficiency and Thermal Comfort in Canadian Buildings

围护结构的热性能要求变得越来越严格，最常见的合规方法是增加更多的绝缘。在许多情况下，由于空间限制和更多地使用玻璃幕墙系统，这可能不切实际。另一种方法是通过结合相变材料来增加建筑围护结构的储热能力。pcm是一种创新产品，能够通过从液体到固体的相变，在接近典型室温的情况下，储存和释放每单位质量的大量热量。这个想法是，PCM在白天吸收建筑物的部分热负荷，因为它融化了，并在较冷的夜间通过返回固体状态释放出这些热量。在夏季，释放的热量将通过自然通风或风扇排出，而在冬季，它将减少供暖需求。******然而，pcm在建筑中的成功和具有成本效益的应用取决于许多因素的仔细选择，包括：工作温度范围，材料厚度，空间内的位置以及建筑组件内的位置。此外，PCM材料应能够在夜间完全释放其吸收的能量，以充分发挥作用。这通常需要改变供暖、通风和空调（HVAC）系统的运行方式。模型预测控制（MPC）是一种多变量控制算法，可用于超越传统的HVAC控制策略，并为PCMs在24小时内完成相变提供最佳条件。MPC考虑建筑系统的热响应和未来预计的气候条件来预测系统的行为，并提前应用适当的控制输入。因此，耦合PCM和基于mpc的系统可以节省能源并改善建筑物的热舒适性。******研究人员、建筑行业、能源政策制定者和房主对基于PCM和mpc的建筑系统有着广泛的兴趣。全球PCM市场预计将从2013年的4.6亿美元增长到2019年的15亿美元。然而，pcm增强材料的热物理性能及其有效的建筑集成尚未完全了解。需要进一步研究开发更强大、更可靠的算法，以解决阻碍基于mpc技术商业可行性的挑战。该研究计划的目标是开发优化的设计策略和解决方案，将基于PCM和mpc的系统集成到建筑物中，以促进和支持国家建筑规范的变化和这些技术的更广泛使用。在这个为期5年的周期中，五名学生将通过一系列创新的实验室实验、实地研究和建模练习，成为加拿大潜热和先进暖通空调控制技术方面的未来专家。

Envelope thermal performance requirements are becoming more stringent and the most common compliance approach is to add more insulation. In many cases this may not be practical due to space constraints and greater use of glazing façade systems. An alternative approach is to increase building envelope's thermal storage capacity by incorporating Phase Change Materials. PCMs are innovative products able to store and release large quantities of heat per unit of mass through a phase change from liquid to solid and back near typical room temperatures. The idea is that PCM absorbs part of a building's heat load during the daytime as it melts and releases this heat during the cooler night-time by returning to its solid phase. In the summer, the released heat would be flushed out using natural ventilation or fans, while in the winter it would reduce the heating requirements. ******However, successful and cost effective application of PCMs in buildings depends on careful selection of many factors including: working temperature range, material thickness, location within the space, and location within the building component. Additionally, the PCM material should be able to completely discharge its absorbed energy during the night to be fully effective. This often requires changes in the operation of heating, ventilation and air-conditioning (HVAC) systems. Model predictive control (MPC) is a multivariable control algorithm that can be used to override conventional HVAC control strategies and provide optimal conditions for a complete phase transition of PCMs in 24-hr. MPC considers thermal response of building systems and future projected climatic conditions to predict the behavior of the systems and apply the appropriate control inputs in advance. Therefore, coupling PCM and MPC-based systems could result in energy savings and thermal comfort improvement in buildings. ******There is wide interest in PCM and MPC-based building systems by researchers, the construction industry, energy policy makers and home owners. The global PCM market is estimated to grow from $460 million in 2013 to $1.5 billion by 2019. However, the thermo-physical properties of PCM-enhanced materials and their effective building integration have not been fully understood. Further research on development of more robust and reliable algorithms is needed to address challenges that inhibit commercial feasibility of MPC-based technologies. The objective of the proposed research program is to develop optimal design strategies and solutions for integrating PCM and MPC-based systems into buildings that will promote and support changes in the national building codes and the wider use of these technologies. In this 5-year cycle, five students will be trained through a series of innovative laboratory experiments, field studies, and modeling exercises to become Canada's future experts in latent heat and advanced HVAC control technologies.