Optimization of exterior wall insulation in office buildings based on wall orientation: Economic, energy and carbon saving potential in China

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 复合数 考古
作者
Zhihang Zheng,Jian Xiao,Ying Yang,Feng Xu,Jin Zhou,Hongcheng Liu
出处
期刊:Energy [Elsevier]
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
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
努力乘凉完成签到,获得积分20
1秒前
殷勤的秋荷完成签到,获得积分10
1秒前
李爱国应助trxie采纳,获得10
2秒前
努力乘凉发布了新的文献求助10
4秒前
LEE发布了新的文献求助10
4秒前
彪壮的小五完成签到,获得积分10
5秒前
fengxun发布了新的文献求助10
7秒前
7秒前
Yvonne完成签到,获得积分10
9秒前
li完成签到 ,获得积分10
9秒前
10秒前
LEE完成签到,获得积分10
10秒前
LGJ完成签到,获得积分10
11秒前
11秒前
科研通AI6.1应助典雅巧凡采纳,获得10
11秒前
脑洞疼应助halohola采纳,获得60
12秒前
12秒前
思源应助Cece采纳,获得10
13秒前
万能图书馆应助cm515531采纳,获得30
13秒前
13秒前
情怀应助大嘴巴子采纳,获得30
13秒前
14秒前
Imxiaofan发布了新的文献求助10
14秒前
14秒前
坚定自信完成签到,获得积分20
15秒前
16秒前
赫连山菡完成签到,获得积分10
18秒前
Redback完成签到,获得积分10
18秒前
晴天完成签到 ,获得积分10
18秒前
AAA大王发布了新的文献求助10
19秒前
20秒前
20秒前
wzdxmt发布了新的文献求助10
20秒前
20秒前
果称完成签到,获得积分10
20秒前
zyw发布了新的文献求助10
21秒前
李健应助123采纳,获得30
21秒前
所所应助鳗鱼匕采纳,获得10
21秒前
liu完成签到 ,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025210
求助须知:如何正确求助?哪些是违规求助? 7660817
关于积分的说明 16178551
捐赠科研通 5173359
什么是DOI,文献DOI怎么找? 2768159
邀请新用户注册赠送积分活动 1751580
关于科研通互助平台的介绍 1637661