Abstract: Climate-friendly buildings are one of the main ways to reduce energy consumption and create a comfortable microclimate. Building performance can be optimised in the early stages of design using computational design methods. Transforming design conditions and decision-making processes into data and algorithms is the key to achieving this optimisation process. This article explores building volume by reviewing the research related to climate-driven computational design with a focus on the three core links of multi-dimensional integration of climate driving factors, diversified evaluation of environmental performance and parameterised construction of impact factors in the work process. The research establishes a decision framework composed of feature recognition, logical transformation, and method selection, and analyses key technical methods. Finally, combined with building project practice, the research verifies the application value of computational design methods in climate-based adaptive design.

Key words: climate adaptive design, computational design, building design, performance optimization

摘要： 适应气候的建筑形态是降低建筑能耗以及营造舒适微气候的主要方法之一。通过计算性设计方法，可以在方案设计阶段对建筑性能进行优化。将设计条件与决策过程向数据和算法进行转化，是实现这一优化过程的关键。以建筑体量为研究对象，基于既往气候驱动下计算性设计的相关研究，针对工作流程中气候驱动因子的多维度整合、环境性能的多元化评价以及影响因子的参数化建构三个核心环节，建立了由“特征认知-逻辑转化-方法择取”构成的决策框架，并对其中关键性技术方法进行解析。最终结合工程实践，验证计算性设计方法在气候适应性设计中的应用价值。

关键词: 气候适应性设计, 计算性设计, 建筑设计, 性能优化