Future Proofing a Building Design using History Matching Inspired Level-set Techniques

Future Proofing a Building Design using History Matching Inspired Level-set Techniques
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使用历史匹配启发的水平集技术来确保建筑设计面向未来

DOI:
10.1111/rssc.12461
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发表时间:
2021
期刊:
Applied Statistics
影响因子:
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通讯作者:
Baker E
Baker E
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文献类型:
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作者:
Baker E

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如何才能在考虑到气候变化导致的预期气温上升的同时,设计出一座充分防止过热和充分节能的建筑?我们成功地解决了这个问题-极大地减少了大量的初始候选建筑设计,减少到了一小部分可接受的建筑。我们使用复杂的计算机模型、所述计算机模型(仿真器)的统计模型以及对历史匹配校准技术的修改来实现这一点。这一修改解决了水平集估计(而不是校准)的问题,其中的目标是找到导致模拟输出低于某个阈值的输入设置。整个程序允许我们向从业者提供一套可接受的建筑设计,最终设计是根据其他要求(主观或非主观)选择的。
How can one design a building that will be sufficiently protected against overheating and sufficiently energy efficient, whilst considering the expected increases in temperature due to climate change? We successfully manage to address this question—greatly reducing a large set of initial candidate building designs down to a small set of acceptable buildings. We do this using a complex computer model, statistical models of said computer model (emulators), and a modification to the history matching calibration technique. This modification tackles the problem of level-set estimation (rather than calibration), where the goal is to find input settings which lead to the simulated output being below some threshold. The entire procedure allows us to present a practitioner with a set of acceptable building designs, with the final design chosen based on other requirements (subjective or otherwise).