Towards Resilient High Performance Low-rise Office Buildings

在当前的建筑设计实践中，预测和实际能源性能之间存在性能差距是很常见的;特别是对于高性能建筑，其中预测的低能耗易受实际变化的操作条件的影响，在许多情况下，实际操作条件是随机的。事实上，性能差距主要是由于建筑设计和模拟模型中的确定性假设。弹性建筑物在不同条件下根据其预期设计发挥作用。实现弹性建筑的主要障碍是缺乏性能差距的量化方法，以及相应的评估方法来确定弹性建筑设计解决方案。低层办公楼由于其在郊区的突出存在而被研究其显著的节能潜力。*拟议的研究计划旨在开发设计方法和工具，以实现弹性高性能建筑的目标，并在能源性能，成本效益和环境影响方面显着提高性能。数据挖掘技术将用于处理实际建筑数据到随机输入数据集。将使用经验证的随机模型来评估作为概率函数的能量性能。概率函数将被转换为一个单一的价值风险指标，以方便决策。将通过三种方法对弹性进行评价：（i）稳健性评价，测试使用静态配置保持预期性能的能力;（ii）适应性评价，测试使用动态措施恢复到设计状态的能力;（iii）灵活性评价，测试适应自愿和可预见变化的能力。将生成一个广泛的性能数据库，以确定高度先进的弹性低层建筑设计解决方案。预期的结果是一种新的设计方法，量化和确定弹性高性能建筑解决方案的三个设计方面：能源性能，成本效益和环境影响，通过考虑在不利的操作条件下的风险水平。经过验证的随机模型被认为可以缩小预测和实际能源性能之间的差距，从而使弹性高性能低层办公楼的建设更接近现实。

Under the current building design practice, it is quite common to have a performance gap between the predicted and actual energy performance; particularly for high performance buildings, in which the predicted low energy consumption is susceptible to actual varying operating conditions, which in many cases, are stochastic in nature. In fact, the performance gap is mainly due to the deterministic assumptions made in both the building design and simulation model. A resilient building performs according to its intended design under varying conditions. The main obstacle in achieving a resilient building is the lack of quantification method of the performance gap, and the corresponding evaluation approach to identify resilient building design solutions. Low-rise office buildings are studied for their significant energy saving potential due to their prominent presence in suburban areas.***The proposed research program aims to develop design methodology and tools to achieve the goal of resilient high performance buildings with significant performance improvement in energy performance, cost effectiveness, and environmental impact. Data mining techniques will be used to process actual building data into stochastic input data sets. A verified stochastic model will be used to evaluate the energy performance as a probability function. The probability function will be translated into a single value risk indicator to facilitate decision making. Resilience will be evaluated on three approaches (i) robustness evaluation testing the ability to maintain the intended performance with static configurations (ii) adaptability evaluation testing the ability to resume to their designed state with dynamic measures (iii) flexibility evaluation testing the ability to accommodate voluntary and foreseeable changes. An extensive performance database will be generated for identifying highly advanced resilient low-rise building design solutions.***The expected outcome is a novel design methodology to quantify and identify resilient high performance building solutions in three design aspects: energy performance, cost effectiveness, and environmental impact, by considering risk level under adverse operating conditions. The verified stochastic model is believed to mitigate the gap between the predicted and actual energy performance and hence make construction of resilient high performance low-rise office buildings a step closer to reality.**