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A new approach to performance-based building design exploration using linear inverse modeling

机译:基于线性逆建模的基于性能的建筑设计探索新方法

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Despite the development of a large number of building performance simulation tools, designers still need a systematic framework appropriate for energy-oriented decision-making in the early stages of design. While the current workflow follows a "forward" modelling procedure in which simulation tools predict the performance of a design, this study proposes an "inverse" procedure that entails a performance objective that estimates design parameters. Using linear inverse modelling, this approach generates plausible ranges for design parameters given a preferred thermal performance. The paper begins by demonstrating that thermal demand in a particular building operation-and-climate condition can be expressed as a linear regression model and then, in two case-studies, uses the regression model to develop an inverse algorithm. After defining energy performance targets as input, users obtain a probabilistic estimate of design parameters as output that represents a large "menu" of feasible design solutions, provides confidence, and embodies the iterative nature of design.
机译:尽管开发了许多建筑性能模拟工具,但设计人员仍需要一个适合于设计初期以能源为导向的决策的系统框架。当前的工作流程遵循模拟工具预测设计性能的“正向”建模过程,而本研究提出了一种“逆向”过程,该过程需要估计设计参数的性能目标。使用线性逆模型,这种方法会在给定最佳热性能的情况下为设计参数生成合理的范围。本文首先说明了在特定建筑物运行和气候条件下的热需求可以表示为线性回归模型,然后在两个案例研究中,使用回归模型来开发逆算法。在将能源性能目标定义为输入之后,用户获得了设计参数作为输出的概率估计值,该估计值代表了可行设计方案的“大型”菜单,提供了信心,并体现了设计的迭代性质。

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