摘要
基于神经网络预测、多目标优化和建筑信息建模技术,提出了严寒地区办公建筑形态节能设计流程;进一步阐释了基于自然采光与热性能考量下的严寒地区办公建筑形态节能设计策略,并展开了案例实践。验证了提出的设计流程与策略对提高严寒地区办公建筑形态节能设计精度与效率的有效性。
The paper proposes the energy saving design workflows for office building forms in the severe cold region based on neural networks prediction,multiobjective optimization and building information modeling technologies.Taking daylighting and thermal performance into considerations,it develops an energysaving design strategy for the office building forms in the severe cold region as exemplified in a practical case.It testifies the enhanced accuracy and effectiveness of the proposed design workflows and strategies applied in the office building form design in this region.
出处
《建筑学报》
北大核心
2016年第2期38-42,共5页
Architectural Journal
基金
国家自然科学基金项目(51278149)
关键词
自然采光性能
热性能
多目标优化
神经网络
办公建筑形态节能设计
严寒地区
daylighting performance
thermal performance
multiobjective optimization
neural networks
office building form energy saving design
severe cold region
