Early design decisions influence the performance of a building significantly. Yet, computational support for performance assessment during early design is very limited. This research proposes an analysis pipeline for the accurate and comprehensive assessment of building performance by integrating simulation-based analysis tools that perform daylighting, computational fluid dynamics, energy, and contaminant transport simulations, as well as wind tunnel testing that performs velocity and pressure measurements to generate wind pressure coefficients. The pipeline is implemented in three different ways: hybrid, model-based, and empirical workflows. The hybrid workflow combines computational fluid dynamics simulations and wind tunnel testing, while the model-based and empirical workflows utilize computational fluid dynamics simulations and wind tunnel testing, respectively. In the pipeline, computational fluid dynamics is used early on to evaluate a high number of alternatives, leading to the selection of a limited number of good-performing options. Following this, wind tunnel testing is used to “correct” the initial wind pressure coefficient results for increased accuracy. Therefore, a hybrid approach operating with high accuracy that can effectively explore the design search space is needed. The pipeline is tested on a hypothetical office building with different shading device configurations. The coupling of computational and physical testing methods in a hybrid workflow significantly enhanced the accuracy of airflow-related data, which is underestimated by 15.4% using the model-based workflow. Moreover, the hybrid workflow managed the complexity of the design search space by the assessment and elimination of different design alternatives by the stepwise simulation workflow. The inclusion of shading devices also improved the accuracy of airflow-related data. If the shading devices had not been modeled for the simulations and had not been tested, the results would have overestimated the ventilation rate by 85% and underestimated the ventilation rate by 1.4%, respectively. The study's contribution is significant as it proposes a pipeline for a more accurate and comprehensive assessment of building performance, which can inform design decisions and improve the overall building's performance.

早期的设计决策会显着影响建筑物的性能。然而，在早期设计期间对性能评估的计算支持非常有限。这项研究提出了一个分析管道，通过集成基于仿真的分析工具来准确和全面地评估建筑性能，这些分析工具执行采光、计算流体动力学、能量和污染物传输模拟，以及执行速度和压力测量的风洞测试，以生成风压系数。该管道以三种不同的方式实施：混合、基于模型和经验工作流。混合工作流程结合了计算流体动力学模拟和风洞测试，而基于模型和经验的工作流程分别利用计算流体动力学模拟和风洞测试。在管道中，早期使用计算流体动力学来评估大量备选方案，从而选择数量有限的性能良好的选项。在此之后，风洞测试用于“校正”初始风压系数结果以提高准确性。因此，需要一种能够有效探索设计搜索空间的高精度混合方法。该管道在具有不同遮阳设备配置的假想办公楼上进行测试。混合工作流中计算和物理测试方法的结合显着提高了气流相关数据的准确性，该数据被低估了 15。4% 使用基于模型的工作流程。此外，混合工作流通过逐步仿真工作流评估和消除不同的设计备选方案来管理设计搜索空间的复杂性。包含遮阳装置还提高了气流相关数据的准确性。如果遮阳设备没有为模拟建模并且没有经过测试，结果将分别高估通风率 85% 和低估通风率 1.4%。该研究的贡献意义重大，因为它提出了一种更准确、更全面地评估建筑性能的管道，可以为设计决策提供信息并提高整体建筑性能。混合工作流通过逐步仿真工作流评估和消除不同的设计备选方案来管理设计搜索空间的复杂性。包含遮阳装置还提高了气流相关数据的准确性。如果遮阳设备没有为模拟建模并且没有经过测试，结果将分别高估通风率 85% 和低估通风率 1.4%。该研究的贡献意义重大，因为它提出了一种更准确、更全面地评估建筑性能的管道，可以为设计决策提供信息并提高整体建筑性能。混合工作流通过逐步仿真工作流评估和消除不同的设计备选方案来管理设计搜索空间的复杂性。包含遮阳装置还提高了气流相关数据的准确性。如果遮阳设备没有为模拟建模并且没有经过测试，结果将分别高估通风率 85% 和低估通风率 1.4%。该研究的贡献意义重大，因为它提出了一种更准确、更全面地评估建筑性能的管道，可以为设计决策提供信息并提高整体建筑性能。包含遮阳装置还提高了气流相关数据的准确性。如果遮阳设备没有为模拟建模并且没有经过测试，结果将分别高估通风率 85% 和低估通风率 1.4%。该研究的贡献意义重大，因为它提出了一种更准确、更全面地评估建筑性能的管道，可以为设计决策提供信息并提高整体建筑性能。包含遮阳装置还提高了气流相关数据的准确性。如果遮阳设备没有为模拟建模并且没有经过测试，结果将分别高估通风率 85% 和低估通风率 1.4%。该研究的贡献意义重大，因为它提出了一种更准确、更全面地评估建筑性能的管道，可以为设计决策提供信息并提高整体建筑性能。