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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=614892
• 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.

这项拟议的研究旨在调查下一代建筑热建模和仿真的基础知识，并建立一个计算平台，在该平台中，实施了所得理论以为未来的热建模问题提供解决方案。这是通过组织成三个次研究项目的研究活动来实现的： 研究项目1-基本研究：（1）与结构模块集成的热建模，允许结构耐用性建模； （2）热建模时间范围的理论研究：与典型的气象年度（TMY）年度模拟相比，多年模拟； （3）新方法的验证：实验研究。 研究项目2-技术进步：（1）与BIM（建筑信息模型）基于基于BIM的工程工具集成的智能建筑建模模块； （2）与常用的热建模软件集成； （3）基于Simulink的平台。 研究项目3-应用研究：（1）工程案例研究； （2）占用后评估（POE）和对设计师的反馈。 在开发现有的热建模方法和仿真平台时，可获得商用计算机的计算能力，这些技术可用于在学术研究和工业应用中使用。例如，通常过度简化物理建筑系统以生成数学模型，其中相关属性的价值被认为是恒定的，并且建筑物的长期性能仅基于一年的气候条件进行模拟，通常在TMY的格式（典型的气象年）。这大大降低了热模拟结果的准确性和代表性，因此很可能为设计过程产生误导性信息。借助更先进的计算机技术，可以重新投入这种方法并开发新一代的热建模技术，该技术可以显着提高模拟研究的性能，而计算能力的需求更高。 这项研究将产生有关建筑绩效模拟领域的新知识，并增加了建模建筑组件和整个系统的耐用性的新能力。基于这些基本研究的结果，将开发和实施智能建筑模型，以便BIM（建筑信息模型）基于基于的仿真平台。可以预料，这项研究将提高热模拟研究的准确性，这些研究已成为IDP（集成设计过程）和可持续建筑开发的重要因素。