The building envelope is a key factor affecting the energy efficiency of buildings. Often, building envelope design requires both explicit knowledge and tacit knowledge. In practice, the tacit knowledge embedded in existing envelope design cases is significantly underused. To enhance the application of such knowledge, this paper proposes a case-based reasoning (CBR) model for the decision support of building envelop design during the preliminary design stage. A case library of 100 certificated green public and commercial buildings is used to develop the model. An experiment on a test case is performed to verify the methodology and usability of the model. Furthermore, records for 25 certificated green public buildings are used to validate the effectiveness of the model. The result shows that the accuracy rate of the CBR model is 84% when considering heating and cooling demands of envelopes. In conclusion, the proposed CBR model is promising for improving the efficiency of envelope design for public and commercial buildings while reducing the reliance on expert participation.

中文翻译：

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基于CBR的决策模型支持公共及商业建筑围护结构智能节能设计


建筑围护结构是影响建筑能源效率的关键因素。通常，建筑围护结构设计需要显性知识和隐性知识。在实践中，现有围护结构设计案例中嵌入的隐性知识并未得到充分利用。为了加强这些知识的应用，本文提出了一种基于案例的推理（CBR）模型，用于初步设计阶段建筑围护结构设计的决策支持。该模型使用包含 100 座经过认证的绿色公共和商业建筑的案例库来开发。通过测试用例进行实验来验证模型的方法论和可用性。此外，还利用25座绿色公共建筑认证记录来验证模型的有效性。结果表明，考虑围护结构的加热和冷却需求时，CBR模型的准确率为84%。总之，所提出的 CBR 模型有望提高公共和商业建筑围护结构设计的效率，同时减少对专家参与的依赖。