摘要
严寒地区农村住宅外附加阳光间可以有效降低建筑采暖能耗。以安达市某农宅为例,采用正交试验组成附加阳光间优化方案,通过熵值法对优化方案进行比选,得出该农宅附加阳光间的最佳优化方案。研究结果表明:阳光间玻璃类型、阳光间窗墙比在阳光间优化中占较大影响,比例分别为44.35%、44.21%,其次为进深、南侧墙面材料、屋顶材料、地面材料;建筑采暖能耗最小的阳光间优化方案为双层玻璃且窗墙比为0.9、进深1.2 m、屋顶和地面采用发泡混凝土保温板;节能量、增量成本、费效比、碳减排量权重分别为20.41%、36.55%、22.7%、20.34%,分析综合得分得出农宅附加阳光间最佳优化方案为:3层中空玻璃,窗墙比为0.9,阳光间进深1.5 m,屋顶保温材料为EPS(80 mm),地面保温材料为发泡混凝土保温板(40 mm),相邻南侧墙面保温材料为XPS(100 mm)。
The additional sunspace outside the rural house can effectively reduce the energy consumption of building heating in the severe cold area. A rural residence in Anda city is selected as the research object, the optimal combination scheme of additional sunspace elements was formed by orthogonal experiment, and the entropy method was used to compare and select, and the optimal scheme of additional sunspace elements for the rural house was obtained. The results showed that the glass type and the window-wall ratio between the sunspace had a large influence on the optimization of the sunspace, accounting for 44.35% and 44.21%, respectively, followed by the depth, the wall material on the south side, the roof material and the ground material;The optimization scheme of sunspace with the minimum energy consumption for building heating is double glazing with window-wall ratio of 0.9, room depth of 1.2 m, and foamed concrete insulation board for roof and ground;The weights of energy saving, incremental cost, cost-benefit ratio and carbon emission reduction index were calculated as 0.2041, 0.3655, 0.227 and 0.2035. Based on the analysis and comprehensive scores, the optimal optimization scheme for the additional sunspace of the agricultural house is as follows: three layers of insulating glass, window-wall ratio of 0.9, sunspace depth of 1.5 m, roof insulation material of EPS of 80 mm, ground insulation material of foamed concrete insulation board of 40 mm, and adjacent south wall insulation material of XPS of 100 mm.
作者
马令勇
胡颢
李清
鞠志鹏
姜伟
李栋
MA Ling-yong;HU Hao;LI Qing;JU Zhi-peng;JIANG Wei;LI Dong(School of Architecture and Civil Engincering,Northeast Petroleum University,Daqing 163318,Heilongjiang,China;Heilongjiang Bayi Agricultural University,Daqing 163318,Heilongjiang,China)
出处
《建筑节能(中英文)》
CAS
2022年第8期118-124,共7页
Building Energy Efficiency
基金
住房和城乡建设部科学技术项目计划(2020-K-186,2020-K-162)
大庆市指导性科技计划(zd-2020-27)。
关键词
农宅附加阳光间
熵值法
建筑采暖能耗
正交试验
优化方案比选
rural residence’s sunspace
Entropy-value method
heating energy consumption
Orthogonal experiment
optimal scheme selection