2017
DOI: 10.1016/j.proeng.2017.10.110
|View full text |Cite
|
Sign up to set email alerts
|

Simulation and Analysis of the Energy Consumption for Public Buildings in Different Climate Regions of China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
3
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 9 publications
0
3
0
Order By: Relevance
“…SHGC led to a 6-18% increase in heating load and a 5-12% decrease in cooling load, thereby reducing energy by 16%. Moreover, Lee et al [37], Raji et al [42], and Zhao et al [43], who experimented on the impact of glazing performance according to climate features, discovered that the U-value must be considered in polar regions where heating is required, whereas SHGC must be regarded in hot climates where cooling is needed.…”
Section: Sinter and Discussionmentioning
confidence: 99%
“…SHGC led to a 6-18% increase in heating load and a 5-12% decrease in cooling load, thereby reducing energy by 16%. Moreover, Lee et al [37], Raji et al [42], and Zhao et al [43], who experimented on the impact of glazing performance according to climate features, discovered that the U-value must be considered in polar regions where heating is required, whereas SHGC must be regarded in hot climates where cooling is needed.…”
Section: Sinter and Discussionmentioning
confidence: 99%
“…Huang et al [26] used ENVI-met and Energy Plus to study the hot and humid climate zone in Taipei and found that the microclimate had a significant impact on building energy consumption. Zhao et al [27] analyzed the effects of major thermal properties of envelope structures on energy consumption in different climate zones in China. Wu et al [28] investigated the intelligent multi-objective optimization of near-zero-energy buildings in four climate zones in China and found that the main influencing factors and corresponding measures varied from region to region.…”
Section: Introductionmentioning
confidence: 99%
“…Gianluca Pappaccog Li et al analyzed the sensitivity of urban climate conditions and building energy consumption to the parameters of urban materials and building environment, and obtained the biggest influencing factors of indoor predetermined temperature [15]. Bingwen Zhao et al took a public building in China as the research object and established a benchmark model by using EnergyPlus to analyze the influence of main thermal performance of building envelope on energy consumption in different climate regions, and obtained the order of factors affecting building energy consumption in different regions [16]. Junsheng Hu et al took Beijing as an example to study the influence of different thermal physical envelope structures on building energy consumption, and obtained the order of influencing factors of public building energy consumption [17].…”
Section: Introductionmentioning
confidence: 99%