摘要
针对近零能耗建筑投资成本高以及西北地区近零能耗建筑建设水平参差不齐等问题,以某既有近零能耗建筑为研究对象,综合考虑能耗、成本、碳排放及室内舒适度等多项建筑性能指标,采用试验研究和TRNSYS仿真模拟相结合的方法,从能耗、成本、碳排放和室内舒适度等多个性能指标出发,对围护结构进行优化。研究结果表明:在最优围护结构组合方案,即天花板和外墙保温材料为聚苯板和聚氨酯,外墙、天花板保温层厚度分别为100,110mm,西向、南向和北向窗墙比分别为0.05,0.28,0.30,外窗遮阳系数为0.38时,建筑成本较原始方案降低了9.8%,碳排放、能耗以及预测平均评价指数较原始方案分别提升了9.7%,12.1%,10.3%,不满意度占比降低了28.4%,建筑综合性能得以提升。
To address the high investment costs of nearly zero-energy buildings(nZEBs)and the uneven construction quality of such buildings in Northwest China,an existing nZEB is selected as the research subject.By comprehensively considering multiple building performance indicators,including energy consumption,cost,carbon emissions,and indoor comfort,an optimization of the envelope structure was conducted.This was achieved through a combination of experimental research and TRNSYS simulation.The optimization process evaluated multiple performance metrics,including energy consumption,cost,carbon emissions,and indoor comfort.The results indicated that under the optimal envelope configuration-where the insulation materials for the ceiling and external walls were polystyrene board and polyurethane,and the insulation layer thicknesses for external walls and ceilings were 100 mm and 110 mm,respectively,with window-to-wall ratios of 0.05,0.28,and 0.30 for the west,south,and north walls,and an external window shading coefficient of 0.38-the building cost decreased by 9.8%compared to the original design.Meanwhile,improvements were observed in carbon emissions(9.7%),energy consumption(12.1%),and predicted mean vote(10.3%),with the predicted percentage dissatisfied reduced by 28.4%.These findings enhance the comprehensive performance of the building.
作者
甄箫斐
李尚娥
张永恒
焦若楠
吴文兵
ZHEN Xiaofei;LI Shang'e;ZHANG Yongheng;JIAO Ruonan;WU Wenbing(School of New Energy and Power Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;Key Laboratory of Railway Vehicle Thermal Engineering,Ministry of Education,Lanzhou 730070,China;School of Mechanical and Electrical Engineering,Xi'an Traffic Engineering Institute,Xi'an 710300,China)
出处
《综合智慧能源》
CAS
2024年第12期81-90,共10页
Integrated Intelligent Energy
基金
国家自然科学基金项目(52206255)。
