TRNSYS公司
能源消耗
纬度
中国
碳纤维
环境科学
能量(信号处理)
结构工程
工程类
材料科学
复合材料
地理
数学
统计
大地测量学
电气工程
考古
复合数
作者
Zhihang Zheng,Jian Xiao,Ying Yang,Feng Xu,Jin Zhou,Hongcheng Liu
出处
期刊:Energy
[Elsevier]
日期:2024-03-01
卷期号:290: 130300-130300
标识
DOI:10.1016/j.energy.2024.130300
摘要
The aim of this study is to optimize the exterior wall insulation of different orientations to further reduce the heating and cooling energy consumption of office buildings, and to analyze its economic, energy and carbon saving potential in China. A six-story office building was selected as the case building and its energy consumption was evaluated using TRNSYS, considering variations in latitude, window-to-wall ratio, aspect ratio, and exterior wall U-values of four orientations. In addition, the exterior wall insulation in four directions was optimized by coupling artificial neural network and genetic algorithm. The main results showed that in the 20°N to 40°N region of China, the GA-optimized exterior wall U-values were highest in the southern direction, followed by the eastern and western directions, and finally the northern direction. In addition, overall, the optimal combination of exterior wall U-values showed a trend of high at low latitudes and low at high latitudes, and increased with increasing WWR and decreased with increasing AR. Finally, compared to the exterior wall requirements for energy efficient buildings in GB 55015-2021, the optimized office buildings at low altitude in China showed a 3.26 %, 6.77 % and 6.59 % reduction in ALCC, total energy consumption and total carbon emissions respectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI