Methodology for the Next Generation of Building Thermal Modeling and Simulation

下一代建筑热建模和仿真方法

• 批准号: RGPIN-2016-04176
• 负责人: Liao, Zaiyi
• 金额: $ 1.75万
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=657589
• 关键词: Methodology; Next; Generation; Building; Thermal

This proposed research is aimed to investigate the fundamentals for the next generation of building thermal modeling and simulation and to establish a computational platform in which the resulting theories are implemented to produce solutions for future thermal modeling problems. This is to be achieved through research activities organized into three sub research projects:***Research Project 1 - Fundamental studies:(1) Thermal modeling integrated with structure modules that allows for the modeling of structure durability; (2)Theoretical study on the time horizon for thermal modeling: multiple-year simulation in comparison with Typical Meteorological Year (TMY) based annual simulation; (3) Validation of new method: experimental studies.***Research Project 2 – Technical advances: (1) Smart building modeling modules for integration with BIM (Building Information Model) based engineering tools; (2) Integration with commonly used thermal modeling software; (3) SIMULINK based platform.***Research Project 3 – Application studies: (1) Engineering case studies; (2) Post-Occupancy Evaluation (POE) and Feedback to designers.***Limited by the computational capability of the commercial computers available when the existing thermal modeling methods and simulation platforms were developed, these technologies are availed with compromises for use in both academic research and industrial applications. For example, the physical building system is normally oversimplified to generate mathematical models in which the value of relevant properties are considered constant, and the long-term performance of a building is simulated only based on one-year of climatic conditions, typically available in the format of TMY (Typical Meteorological Year). This significantly reduces the accuracy and representativeness of thermal simulation results and thus is likely to produce misleading information for the design process. With much more advanced computer technologies, it is appropriate to re-investigate this approach and to develop a new generation of thermal modeling technology that can significantly improve the performance of simulation studies at the cost of much higher demand on the computational capacity.***This research will generate new knowledge on the area of building performance simulation and add new ability for modeling the durability of building components and the entire system. Based on the outcomes of these fundamental studies, smart building models will be developed and implemented for easy use by BIM (Building information Model) based simulation platforms. It is anticipated that this research will improve the accuracy of thermal simulation studies that have become an important element for IDP (Integrated Design Process) and sustainable building development.

这项提出的搜索旨在调查下一代建筑物建模，并在jeories中建立一个mputatation平台，以通过组织为***或结构建模的研究活动来产生正式的热建模问题。耐用性；与典型的气象（TMY）年度模拟相比阳离子研究：（1）工程案例研究和对仿真平台的限制例如，在ND中，您的物理建筑系统通常对建筑物的长期性能过于简化，仅在一对一的一对气候含量中签名降低热模拟结果的准确性和代表性，因此可能会通过更高级的计算机技术产生误导性信息。将在构建绩效模拟的领域中增加建筑物组件和整个系统的功能的新能力。提高热模拟研究的准确性已成为IDP（集成设计过程）和可持续建筑开发的重要元素。