【摘要】 在国家标准GB/T 51350—2019《近零能耗建筑技术标准》中，提出了近零能耗建筑性能化设计理念。本文提出1种基于最短路径算法的近零能耗建筑被动式节能设计参数优化方法。该方法基于能耗模拟软件生成数据集，训练基于人工神经网络的快速建筑能耗预测模型，预测精度可达到误差1%左右，基于快速能耗预测模型，采用最短路径寻找算法，对被动式节能设计参数集合进行优化，大幅缩短了优化策略的寻找时间，便于工程应用。更多还原

【Abstract】 The National Standard Technical standard for nearly zeroenergy consumption buildings(GB/T 51350-2019) proposed the performance-oriented design concept of nearly zero-energy consumption buildings. This paper presented a parameter optimization method for the passive energy-saving design of nearly zero-energy buildings based on the shortest path algorithm. This method generates data sets based on energy consumption simulation software and trains a fast energy consumption prediction model based on the artificial neural network. The prediction accuracy can reach an error rate of around 1%. This method uses the fast energy consumption prediction model and the shortest path to find algorithm, which greatly shortens the search time of optimization strategy, and provides convenience for engineering practices.更多还原