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基于遗传算法的光热舒适性及能耗多目标遮阳设计优化研究——以广州地区中小学教室为例
Optimal Design of Sun Shading with Genetic Algorithm Based on Multi-objective of Light-thermal Comfort and Energy Consumption——A Case Study of Classrooms in a Primary and Secondary Schools in Guangzhou
【Author】 Ge Jiahao;Ren Peng;School of Architecture,South China University of Technology;State Key Laboratory of Subtropical Building Science;
【机构】 华南理工大学建筑学院; 亚热带建筑科学国家重点实验室;
【摘要】 随着我国经济快速发展,社会对教育建筑的需求总量及其内部光热环境质量的要求大幅提高。同时受气候条件影响,湿热地区教育建筑空调被大量使用,导致能耗激增。教育建筑窗墙比大,外遮阳作为公认有效的被动式节能技术,其合理设计是保证教室光热舒适和节能的关键。以广州市典型中小学教室为研究对象,基于Rhino和Grasshopper参数化平台,采用Ladybug+Honeybee性能分析软件,以广州典型气象年作为模拟条件,在保证室内学习平面照度符合规范标准的前提下,分析多种分区域照明设置方式对教室能耗的影响,确定较优设置方式。以提高教室内部光、热舒适性和减少能耗为优化目标,应用遗传算法进行多目标优化,研究垂直外遮阳设计对上述目标的综合影响。研究表明,分区域照明设置可有效降低室内照明能耗。随着分区数量增加,照明耗电量呈下降趋势,最大节能率可达22.47%;在分区数量较多时,横向分区照明的节能效果优于纵向分区,最大相差4.46%。与初期方案相比,采用较好分区域照明设置和外遮阳设计的教室,总能耗节能率最高可达9.5%,光舒适和热舒适时间比最大可提高7.03%和20.52%。
【Abstract】 With the rapid development of the economy,the total social demands for educational buildings and the quality of the internal light and thermal environment have greatly increased.At the same time,air conditioners of educational buildings in hot-humid area are widely used under the impact of climatic conditions,resulting in a surge in energy consumption.Educational buildings have a large window-wall ratio,and external shading is recognized as an effective passive energy-saving technology,so the reasonable design of external shading is the key to ensuring the light-thermal comfort and energy saving of the classroom.Taking the typical classrooms of primary and middle schools in Guangzhou as the research object,the performance-analyzing software of Ladybug+Honeybee based on the Rhino and Grasshopper parameterized platform was used to determine the optimal setting method:taking the typical meteorological year of Guangzhou as the simulation condition;analyzing the influence of various sub-regional lighting setting on the energy consumption of the classroom under the premise of the indoor illuminance of the learning plane complied with the standards.To improve the interior light and thermal comfort of the classroom and reduce energy consumption,genetic algorithm was used to multi-objective optimization for studying the comprehensive impact of the vertical external shading design on the above goals.Results show that the regional lighting settings can effectively reduce the energy consumption of indoor lighting.As the number of partitions increases,the power consumption of lighting shows a downward trend,and the maximum energy-saving-rate can reach up to 22.47 percent;the energy-saving effect of horizontal partitions is better than that of vertical partitions,with a maximum difference of 4.46 percent.Compared with the initial plan,classrooms with better regional lighting-settings and external shading design can achieve a total energy-saving-rate of up to 9.5 percent,and the time ratios of light comfort and thermal comfort have increased by 7.03 percent and 20.52 percent,respectively.
【Key words】 Classroom; Vertically-external Shading; Sub-regional Lighting; Light-thermal Comfort; Energy Consumption; Multi-objective Optimization; Genetic Algorithm;
- 【会议录名称】 智筑未来——2021年全国建筑院系建筑数字技术教学与研究学术研讨会论文集
- 【会议名称】2021年全国建筑院系建筑数字技术教学与研究学术研讨会暨DADA2021数字建筑学术研讨会
- 【会议时间】2021-09-26
- 【会议地点】中国湖北武汉
- 【分类号】TU244.2;TU11
- 【主办单位】全国高等学校建筑类专业教学指导委员会建筑学专业教学指导分委员会建筑数字技术教学工作委员会、中国建筑学会建筑师分会、DADA数字建筑设计专业委员会