Using data-driven approach to support the energy efficiency building design

Incorporating with the sustainable design, the energy efficiency buildings contain different research domains, including energy, daylighting, etc. Currently, integrated design approaches are purposed into the different design stages. But most of current approaches cannot help the designers to identify the analysis workflow. The goal of this research is to develop a data-driven approach based on the existing integrated solutions, which will help to improve the accuracy of various analyses and also reduce the time required to complete such design iterations. We propose our methods into five steps, including: 1) Requirement; 2) Modeling; 3) Data-driven workflow; 4) Density-based clustering; 5) Evaluation and refinement. The result of case studies demonstrates our data-driven workflow's ability to guide the design process with high precision. And our approach also will be extended and applied to discover the useful patterns during the building design process in the future.